Publications
2023
Pavliuk, Olena; Mishchuk, Myroslav; Strauss, Christine
Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform Artikel
In: Algorithms, Bd. 16, Nr. 2, 2023, ISSN: 1999-4893.
Abstract | Links | BibTeX | Schlagwörter:
@article{eff98c2f14eb409eb34b4dbbce7657d5,
title = {Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform},
author = {Olena Pavliuk and Myroslav Mishchuk and Christine Strauss},
doi = {10.3390/a16020077},
issn = {1999-4893},
year = {2023},
date = {2023-02-01},
urldate = {2023-02-01},
journal = {Algorithms},
volume = {16},
number = {2},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
abstract = {Over the last few years, human activity recognition (HAR) has drawn increasing interest from the scientific community. This attention is mainly attributable to the proliferation of wearable sensors and the expanding role of HAR in such fields as healthcare, sports, and human activity monitoring. Convolutional neural networks (CNN) are becoming a popular approach for addressing HAR problems. However, this method requires extensive training datasets to perform adequately on new data. This paper proposes a novel deep learning model pre-trained on scalograms generated using the continuous wavelet transform (CWT). Nine popular CNN architectures and different CWT configurations were considered to select the best performing combination, resulting in the training and evaluation of more than 300 deep learning models. On the source KU-HAR dataset, the selected model achieved classification accuracy and an F1 score of 97.48% and 97.52%, respectively, which outperformed contemporary state-of-the-art works where this dataset was employed. On the target UCI-HAPT dataset, the proposed model resulted in a maximum accuracy and F1-score increase of 0.21% and 0.33%, respectively, on the whole UCI-HAPT dataset and of 2.82% and 2.89%, respectively, on the UCI-HAPT subset. It was concluded that the usage of the proposed model, particularly with frozen layers, results in improved performance, faster training, and smoother gradient descent on small HAR datasets. However, the use of the pre-trained model on sufficiently large datasets may lead to negative transfer and accuracy degradation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Over the last few years, human activity recognition (HAR) has drawn increasing interest from the scientific community. This attention is mainly attributable to the proliferation of wearable sensors and the expanding role of HAR in such fields as healthcare, sports, and human activity monitoring. Convolutional neural networks (CNN) are becoming a popular approach for addressing HAR problems. However, this method requires extensive training datasets to perform adequately on new data. This paper proposes a novel deep learning model pre-trained on scalograms generated using the continuous wavelet transform (CWT). Nine popular CNN architectures and different CWT configurations were considered to select the best performing combination, resulting in the training and evaluation of more than 300 deep learning models. On the source KU-HAR dataset, the selected model achieved classification accuracy and an F1 score of 97.48% and 97.52%, respectively, which outperformed contemporary state-of-the-art works where this dataset was employed. On the target UCI-HAPT dataset, the proposed model resulted in a maximum accuracy and F1-score increase of 0.21% and 0.33%, respectively, on the whole UCI-HAPT dataset and of 2.82% and 2.89%, respectively, on the UCI-HAPT subset. It was concluded that the usage of the proposed model, particularly with frozen layers, results in improved performance, faster training, and smoother gradient descent on small HAR datasets. However, the use of the pre-trained model on sufficiently large datasets may lead to negative transfer and accuracy degradation.
2022
Strauss, Christine; Cuzzocrea, Alfredo; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Springer Nature Switzerland AG, 2022, ISBN: 978-3-031-12422-8.
Links | BibTeX | Schlagwörter:
@book{b07e352625bd4ffd8b7dc8ff33c5acd5,
title = {Database and Expert Systems Applications - 33rd International Conference, DEXA 2022 Vienna, Austria, August 22–24, 2022, Proceedings, Part I},
editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
doi = {10.1007/978-3-031-12423-5},
isbn = {978-3-031-12422-8},
year = {2022},
date = {2022-08-01},
publisher = {Springer Nature Switzerland AG},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Strauss, Christine; Cuzzocrea, Alfredo; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Springer Nature Switzerland AG, 2022, ISBN: 978-3-031-12425-9.
Links | BibTeX | Schlagwörter:
@book{f95f8d498c0f46f1824e6a43e9fff0e3,
title = {Database and Expert Systems Applications - 33rd International Conference, DEXA 2022 Vienna, Austria, August 22–24, 2022, Proceedings, Part II},
editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
doi = {10.1007/978-3-031-12426-6},
isbn = {978-3-031-12425-9},
year = {2022},
date = {2022-08-01},
volume = {II},
publisher = {Springer Nature Switzerland AG},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
Strauss, Christine; Cuzzocrea, Alfredo
Preface - DEXA 2022 (Band II) Konferenzbeitrag
In: Strauss, Christine; Cuzzocrea, Alfredo; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.): Database and Expert Systems Applications 33rd International Conference, DEXA 2022 Vienna, Austria, August 22–24, 2022 Proceedings, Part II, S. v–vi, Springer Nature Switzerland AG, 2022, ISBN: 978-3-031-12425-9.
Links | BibTeX | Schlagwörter:
@inproceedings{3f7565e251c34d4cb249b03007fb62da,
title = {Preface - DEXA 2022 (Band II)},
author = {Christine Strauss and Alfredo Cuzzocrea},
editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
doi = {10.1007/978-3-031-12426-6},
isbn = {978-3-031-12425-9},
year = {2022},
date = {2022-08-01},
booktitle = {Database and Expert Systems Applications 33rd International Conference, DEXA 2022 Vienna, Austria, August 22–24, 2022 Proceedings, Part II},
volume = {II},
pages = {v--vi},
publisher = {Springer Nature Switzerland AG},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Poecze, Flora; Ebster, Claus; Strauss, Christine
In: Personal and Ubiquitous Computing, Bd. 26, Nr. 3, S. 901–910, 2022, ISSN: 1617-4909.
Abstract | Links | BibTeX | Schlagwörter: ANTECEDENTS, MOTIVATIONS, Online gaming, Self-marketing, Sentiment analysis, Social media metrics, TWITTER
@article{ea91d596e44d40998eb2bde3bc6a54b6,
title = {Let’s play on Facebook: using sentiment analysis and social media metrics to measure the success of YouTube gamers’ post types},
author = {Flora Poecze and Claus Ebster and Christine Strauss},
doi = {10.1007/s00779-019-01361-7},
issn = {1617-4909},
year = {2022},
date = {2022-06-01},
journal = {Personal and Ubiquitous Computing},
volume = {26},
number = {3},
pages = {901–910},
publisher = {Springer-Nature},
abstract = {This paper discusses the analysis results of successful self-marketing techniques on Facebook pages in the cases of three YouTube gamers: PewDiePie, Markiplier, and Kwebbelkop. The research focus was to identify significant differences in terms of the gamers' user-generated Facebook metrics and commentary sentiments. Analysis of variance (ANOVA) and k-nearest neighbor sentiment analysis were employed as core research methods. ANOVA of the classified post categories revealed that photos tended to show significantly more user-generated interactions than other post types, while, on the other hand, re-posted YouTube videos gained significantly fewer numbers in the retrieved metrics than other content types. K-nearest neighbor sentiment analysis pointed out underlying follower negativity in cases where user-generated activity was relatively low, thereby improving the understanding of the opinion of the masses previously hidden behind metrics such as the number of likes, comments, and shares. The paper at hand highlights the methodological design of the study as well as a detailed discussion of key findings and their implications, and future work. The results per se indicate the need to utilize natural language processing techniques to optimize brand communication on social media and highlight the importance of considering machine learning sentiment analysis techniques for a better understanding of consumer feedback.},
keywords = {ANTECEDENTS, MOTIVATIONS, Online gaming, Self-marketing, Sentiment analysis, Social media metrics, TWITTER},
pubstate = {published},
tppubtype = {article}
}
This paper discusses the analysis results of successful self-marketing techniques on Facebook pages in the cases of three YouTube gamers: PewDiePie, Markiplier, and Kwebbelkop. The research focus was to identify significant differences in terms of the gamers' user-generated Facebook metrics and commentary sentiments. Analysis of variance (ANOVA) and k-nearest neighbor sentiment analysis were employed as core research methods. ANOVA of the classified post categories revealed that photos tended to show significantly more user-generated interactions than other post types, while, on the other hand, re-posted YouTube videos gained significantly fewer numbers in the retrieved metrics than other content types. K-nearest neighbor sentiment analysis pointed out underlying follower negativity in cases where user-generated activity was relatively low, thereby improving the understanding of the opinion of the masses previously hidden behind metrics such as the number of likes, comments, and shares. The paper at hand highlights the methodological design of the study as well as a detailed discussion of key findings and their implications, and future work. The results per se indicate the need to utilize natural language processing techniques to optimize brand communication on social media and highlight the importance of considering machine learning sentiment analysis techniques for a better understanding of consumer feedback.
Poecze, Flora; Ebster, Claus; Strauss, Christine
In: Pers. Ubiquitous Comput., Bd. 26, Nr. 3, S. 901–910, 2022.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/puc/PoeczeES22,
title = {Let's play on Facebook: using sentiment analysis and social media
metrics to measure the success of YouTube gamers' post types},
author = {Flora Poecze and Claus Ebster and Christine Strauss},
url = {https://doi.org/10.1007/s00779-019-01361-7},
doi = {10.1007/s00779-019-01361-7},
year = {2022},
date = {2022-01-01},
journal = {Pers. Ubiquitous Comput.},
volume = {26},
number = {3},
pages = {901--910},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Boric, Sandra; Strauss, Christine
What Makes a Freemium Game Player Become a Paying Player Artikel
In: J. Data Intell., Bd. 3, Nr. 2, S. 201–217, 2022.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/rpjdi/BoricS22,
title = {What Makes a Freemium Game Player Become a Paying Player},
author = {Sandra Boric and Christine Strauss},
url = {https://doi.org/10.26421/JDI3.2-1},
doi = {10.26421/JDI3.2-1},
year = {2022},
date = {2022-01-01},
journal = {J. Data Intell.},
volume = {3},
number = {2},
pages = {201--217},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Völz, Alexander; Hafner, Patrick; Strauss, Christine
Expert Opinions on Smart Retailing Technologies and Their Impacts Artikel
In: J. Data Intell., Bd. 3, Nr. 2, S. 278–296, 2022.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/rpjdi/VolzHS22,
title = {Expert Opinions on Smart Retailing Technologies and Their Impacts},
author = {Alexander Völz and Patrick Hafner and Christine Strauss},
url = {https://christinestrauss.eu/jdi_voelz_hafner_278_296/},
doi = {10.26421/JDI3.2-5},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {J. Data Intell.},
volume = {3},
number = {2},
pages = {278--296},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Izonin, Ivan; Ilchyshyn, Bohdan; Tkachenko, Roman; Gregus, Michal; Shakhovska, Natalya; Strauss, Christine
Towards Data Normalization Task for the Efficient Mining of Medical Data Konferenzbeitrag
In: 12th International Conference on Advanced Computer Information Technologies, ACIT 2022, Ruzomberok, Slovakia, September 26-28, 2022, S. 480–484, IEEE, 2022.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/acit4/IzoninITGSS22,
title = {Towards Data Normalization Task for the Efficient Mining of Medical
Data},
author = {Ivan Izonin and Bohdan Ilchyshyn and Roman Tkachenko and Michal Gregus and Natalya Shakhovska and Christine Strauss},
url = {https://doi.org/10.1109/ACIT54803.2022.9913112},
doi = {10.1109/ACIT54803.2022.9913112},
year = {2022},
date = {2022-01-01},
booktitle = {12th International Conference on Advanced Computer Information Technologies,
ACIT 2022, Ruzomberok, Slovakia, September 26-28, 2022},
pages = {480--484},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Strauss, Christine; Cuzzocrea, Alfredo; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part I Konferenzbericht
Springer, Bd. 13426, 2022, ISBN: 978-3-031-12422-8.
Links | BibTeX | Schlagwörter:
@proceedings{DBLP:conf/dexa/2022-1,
title = {Database and Expert Systems Applications - 33rd International Conference,
DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part
I},
editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
url = {https://doi.org/10.1007/978-3-031-12423-5},
doi = {10.1007/978-3-031-12423-5},
isbn = {978-3-031-12422-8},
year = {2022},
date = {2022-01-01},
volume = {13426},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Strauss, Christine; Cuzzocrea, Alfredo; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part II Konferenzbericht
Springer, Bd. 13427, 2022, ISBN: 978-3-031-12425-9.
Links | BibTeX | Schlagwörter:
@proceedings{DBLP:conf/dexa/2022-2,
title = {Database and Expert Systems Applications - 33rd International Conference,
DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part
II},
editor = {Christine Strauss and Alfredo Cuzzocrea and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
url = {https://doi.org/10.1007/978-3-031-12426-6},
doi = {10.1007/978-3-031-12426-6},
isbn = {978-3-031-12425-9},
year = {2022},
date = {2022-01-01},
volume = {13427},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Misischia, Chiara Valentina; Pöcze, Flora; Strauss, Christine
Chatbots in customer service: Their relevance and impact on service quality Artikel
In: Procedia Computer Science, Bd. 201, S. 421–428, 2022, ISSN: 1877-0509, (Publisher Copyright: textcopyright 2022 Elsevier B.V.. All rights reserved.; 13th International Conference on Ambient Systems, Networks and Technologies, ANT 2022 / 5th International Conference on Emerging Data and Industry 4.0, EDI40 2022 ; Conference date: 22-03-2022 Through 25-03-2022).
Abstract | Links | BibTeX | Schlagwörter: artificial intelligence, chatbot, customer service, e-commerce, e-service agents, e-services, service quality
@article{bee465dd36ff46eaa6ff61ffd5f11689,
title = {Chatbots in customer service: Their relevance and impact on service quality},
author = {Chiara Valentina Misischia and Flora Pöcze and Christine Strauss},
doi = {10.1016/j.procs.2022.03.055},
issn = {1877-0509},
year = {2022},
date = {2022-01-01},
journal = {Procedia Computer Science},
volume = {201},
pages = {421--428},
publisher = {Elsevier},
abstract = {Chatbots are increasingly finding their way into e-commerce and e-services, as their implementation opens up promising opportunities to improve customer service. The present paper examines chatbots in this context, elaborating on their functional aspects that are rapidly leading to significant improvements in service quality. First, based on a literature review of recent publications in this field, an overview of their key features and functionalities underlining the relevance of chatbots for customer service is provided. Second, a further contribution is made by introducing two categories of chatbots' objectives based on their functional dedication, i.e. "improvement of service performance" and "fulfillment of customer's expectations". The considered chatbots' customer-related functions are interaction, entertainment, problem-solving, trendiness, and customization. The chatbot categories are discussed in detail. Their positive influence on service quality, constituting the chatbots' functional goal, as well as the potential of chatbots in customer service are pointed out.},
note = {Publisher Copyright: textcopyright 2022 Elsevier B.V.. All rights reserved.; 13th International Conference on Ambient Systems, Networks and Technologies, ANT 2022 / 5th International Conference on Emerging Data and Industry 4.0, EDI40 2022 ; Conference date: 22-03-2022 Through 25-03-2022},
keywords = {artificial intelligence, chatbot, customer service, e-commerce, e-service agents, e-services, service quality},
pubstate = {published},
tppubtype = {article}
}
Chatbots are increasingly finding their way into e-commerce and e-services, as their implementation opens up promising opportunities to improve customer service. The present paper examines chatbots in this context, elaborating on their functional aspects that are rapidly leading to significant improvements in service quality. First, based on a literature review of recent publications in this field, an overview of their key features and functionalities underlining the relevance of chatbots for customer service is provided. Second, a further contribution is made by introducing two categories of chatbots' objectives based on their functional dedication, i.e. "improvement of service performance" and "fulfillment of customer's expectations". The considered chatbots' customer-related functions are interaction, entertainment, problem-solving, trendiness, and customization. The chatbot categories are discussed in detail. Their positive influence on service quality, constituting the chatbots' functional goal, as well as the potential of chatbots in customer service are pointed out.
Kotsis, Gabriele; Wacha, Thomas; Strauss, Christine
Collaborating with Newcomers – An Empirical Usability Study on Zoom Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization, and Engineering, S. 147–157, Springer, 2022, ISBN: 978-3-031-16537-5, (Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.).
Abstract | Links | BibTeX | Schlagwörter: Group communication, Usability, Web conference tool
@inproceedings{00a2d39c27b14581b750d0a05bd2e4c7,
title = {Collaborating with Newcomers – An Empirical Usability Study on Zoom},
author = {Gabriele Kotsis and Thomas Wacha and Christine Strauss},
editor = {Yuhua Luo},
doi = {https://doi.org/10.1007/978-3-031-16538-2_15},
isbn = {978-3-031-16537-5},
year = {2022},
date = {2022-01-01},
booktitle = {Cooperative Design, Visualization, and Engineering},
pages = {147--157},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {During lock-downs and restrictions due to the COVID-19 pandemic many people and many companies were forced to use online-tools to connect and to communicate with each other while being in home office or in the workplace. Paving the way for collaboration, the initiation-phase is crucial as people from various environments need to valuate mutual dispositions, build up trust, and explore each other’s intentions and capabilities. The online version of such a phase calls for easy-to-use tools that allow even newcomers to concentrate on the true purpose of that phase. On the example of Zoom, which is a cloud-based solution for that need and which is a major player in this vast market, we perform a usability evaluation of the Zoom desktop-client guided by Nielsen’s heuristics. As a result, we propose a redesign of the feature join meeting, which we tested against the original one by inexperienced users to find out which of them better serves the user’s needs.},
note = {Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
keywords = {Group communication, Usability, Web conference tool},
pubstate = {published},
tppubtype = {inproceedings}
}
During lock-downs and restrictions due to the COVID-19 pandemic many people and many companies were forced to use online-tools to connect and to communicate with each other while being in home office or in the workplace. Paving the way for collaboration, the initiation-phase is crucial as people from various environments need to valuate mutual dispositions, build up trust, and explore each other’s intentions and capabilities. The online version of such a phase calls for easy-to-use tools that allow even newcomers to concentrate on the true purpose of that phase. On the example of Zoom, which is a cloud-based solution for that need and which is a major player in this vast market, we perform a usability evaluation of the Zoom desktop-client guided by Nielsen’s heuristics. As a result, we propose a redesign of the feature join meeting, which we tested against the original one by inexperienced users to find out which of them better serves the user’s needs.
Flunger, Rober; Mladenow, Andreas; Strauss, Christine
Game Analytics—Business Impact, Methods and Tools Buchkapitel
In: Studies in Systems, Decision and Control, S. 601–617, Springer Science and Business Media Deutschland GmbH, 2022, (Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.).
Abstract | Links | BibTeX | Schlagwörter: Customer lifetime value, Free to play, Game analytics, Gaming industry
@inbook{f15d6bcbb374493880a09cb4e7dadfa6,
title = {Game Analytics—Business Impact, Methods and Tools},
author = {Rober Flunger and Andreas Mladenow and Christine Strauss},
doi = {10.1007/978-3-030-77916-0_19},
year = {2022},
date = {2022-01-01},
booktitle = {Studies in Systems, Decision and Control},
pages = {601--617},
publisher = {Springer Science and Business Media Deutschland GmbH},
series = {Studies in Systems, Decision and Control},
abstract = {The gaming business has developed into a prosperous digital business segment with exceptional business prospects during recent years and has evolved into a considerable economic sector. Hence, this contribution outlines the relevance and potential of game analytics in the context of gaming business. We identify and discuss crucial aspects of analytical and predictive models for free to play (F2P) business models. Based on a literature review we analyze several business issues where game analytics may provide major benefit. Besides identifying motivations for small and medium sized game developers to use game analytic tools, we furthermore introduce six studies, which discuss churn prediction models in F2P games, as well as four studies on prediction of customers’ lifetime value. Emphasis is laid on methods, metrics and tools in game analytics, such as player churn prediction and customer lifetime value (CLV) prediction, and their functionalities.},
note = {Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.},
keywords = {Customer lifetime value, Free to play, Game analytics, Gaming industry},
pubstate = {published},
tppubtype = {inbook}
}
The gaming business has developed into a prosperous digital business segment with exceptional business prospects during recent years and has evolved into a considerable economic sector. Hence, this contribution outlines the relevance and potential of game analytics in the context of gaming business. We identify and discuss crucial aspects of analytical and predictive models for free to play (F2P) business models. Based on a literature review we analyze several business issues where game analytics may provide major benefit. Besides identifying motivations for small and medium sized game developers to use game analytic tools, we furthermore introduce six studies, which discuss churn prediction models in F2P games, as well as four studies on prediction of customers’ lifetime value. Emphasis is laid on methods, metrics and tools in game analytics, such as player churn prediction and customer lifetime value (CLV) prediction, and their functionalities.
Hasko, Roman; Hasko, Oleksandra; Strauss, Christine; Vyshnevska, Stefania
MEdOps - Medical Education with Emphasis on Robotics Konferenzbeitrag
In: Shakhovska, Nataliia; Chretien, Stephane; Izonin, Ivan; Campos, Jaime (Hrsg.): IDDM 2022 Informatics & Data-Driven Medicine, S. 266–271, RWTH Aachen, 2022, (Publisher Copyright: textcopyright 2022 Copyright for this paper by its authors.; 5th International Conference on Informatics and Data-Driven Medicine, IDDM 2022 ; Conference date: 18-11-2022 Through 20-11-2022).
Abstract | BibTeX | Schlagwörter: E-Learning, IoT, MEdOps, Robotics, ROS, Telepresence, Tripled Learning
@inproceedings{8f7c4ec254c94e65b9f4076d980300df,
title = {MEdOps - Medical Education with Emphasis on Robotics},
author = {Roman Hasko and Oleksandra Hasko and Christine Strauss and Stefania Vyshnevska},
editor = {Nataliia Shakhovska and Stephane Chretien and Ivan Izonin and Jaime Campos},
year = {2022},
date = {2022-01-01},
booktitle = {IDDM 2022 Informatics & Data-Driven Medicine},
volume = {3302},
pages = {266--271},
publisher = {RWTH Aachen},
series = {CEUR Workshop Proceedings},
abstract = {This article considers a modern approach to a qualitatively new education of medical specialties, taking into account the latest advances in computer technology, particularly in the field of robotics. The MEdOps concept represents a synergy of medical education with information technologies that are already successfully used in the fields of computer science. Special attention is paid to the emergence of such a new computer profession as DevOps. This is a universal specialist who ideally possesses a huge number of different technologies and platforms, a direct analogue of a modern highly qualified medical specialist, who must constantly improve his/her qualifications for effective work. One of the main focuses of the proposed approach is also the introduction of advances in robotics i.e. robots with remote human presence or telepresence in the process of education.},
note = {Publisher Copyright: textcopyright 2022 Copyright for this paper by its authors.; 5th International Conference on Informatics and Data-Driven Medicine, IDDM 2022 ; Conference date: 18-11-2022 Through 20-11-2022},
keywords = {E-Learning, IoT, MEdOps, Robotics, ROS, Telepresence, Tripled Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
This article considers a modern approach to a qualitatively new education of medical specialties, taking into account the latest advances in computer technology, particularly in the field of robotics. The MEdOps concept represents a synergy of medical education with information technologies that are already successfully used in the fields of computer science. Special attention is paid to the emergence of such a new computer profession as DevOps. This is a universal specialist who ideally possesses a huge number of different technologies and platforms, a direct analogue of a modern highly qualified medical specialist, who must constantly improve his/her qualifications for effective work. One of the main focuses of the proposed approach is also the introduction of advances in robotics i.e. robots with remote human presence or telepresence in the process of education.
Posch, Lisa; Mladenow, Andreas; Strauss, Christine
Reward-based Crowdfunding: successful signaling from an entrepreneur Artikel
In: CEUR Workshop Proceedings, Bd. 3171, S. 999–1014, 2022, ISSN: 1613-0073, (Publisher Copyright: textcopyright 2022 Copyright for this paper by its authors.; 6th International Conference on Computational Linguistics and Intelligent Systems, COLINS 2022 - Volume I: Main ; Conference date: 12-05-2022 Through 13-05-2022).
Abstract | BibTeX | Schlagwörter: applied intelligent systems, community, crowdfunding systems, crowdsourcing, Quality Signals, reward-based crowdfunding, Signaling
@article{e75a6ba45d014bdc8815cf730adf601e,
title = {Reward-based Crowdfunding: successful signaling from an entrepreneur},
author = {Lisa Posch and Andreas Mladenow and Christine Strauss},
issn = {1613-0073},
year = {2022},
date = {2022-01-01},
journal = {CEUR Workshop Proceedings},
volume = {3171},
pages = {999--1014},
publisher = {RWTH Aachen},
abstract = {This paper examines the impact of signaling in reward-based crowdfunding systems from the project initiators’ perspective. In order to reduce the information gap between the project initiator and the crowd, different signals can be applied in order to increase the project success. The paper identifies opportunities and challenges of reward-based crowdfunding systems. As the major advantages of reward-based crowdfunding factors such as the low costs in terms of communication, search as well as transaction costs, could be identified.},
note = {Publisher Copyright: textcopyright 2022 Copyright for this paper by its authors.; 6th International Conference on Computational Linguistics and Intelligent Systems, COLINS 2022 - Volume I: Main ; Conference date: 12-05-2022 Through 13-05-2022},
keywords = {applied intelligent systems, community, crowdfunding systems, crowdsourcing, Quality Signals, reward-based crowdfunding, Signaling},
pubstate = {published},
tppubtype = {article}
}
This paper examines the impact of signaling in reward-based crowdfunding systems from the project initiators’ perspective. In order to reduce the information gap between the project initiator and the crowd, different signals can be applied in order to increase the project success. The paper identifies opportunities and challenges of reward-based crowdfunding systems. As the major advantages of reward-based crowdfunding factors such as the low costs in terms of communication, search as well as transaction costs, could be identified.
Boric, Sandra; Strauss, Christine
In: Kryvinska, Natalia; s, Michal Greguv (Hrsg.): Developments in Information & Knowledge Management for Business Applications, S. 479–504, Springer International Publishing AG, 1., 2022, ISBN: 978-3-030-95812-1, (Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.).
Abstract | Links | BibTeX | Schlagwörter:
@inbook{9ae1c1460d5e4d2c8f72f65744b25bbe,
title = {Systematic Retrieval and Analysis of Heterogenous Online Retail Platform Data to Support Customer Targeting in Gaming Business},
author = {Sandra Boric and Christine Strauss},
editor = {Natalia Kryvinska and Michal Greguv s},
doi = {10.1007/978-3-030-95813-8_19},
isbn = {978-3-030-95812-1},
year = {2022},
date = {2022-01-01},
booktitle = {Developments in Information & Knowledge Management for Business Applications},
pages = {479--504},
publisher = {Springer International Publishing AG},
edition = {1.},
series = {Studies in Systems, Decision and Control},
abstract = {This study demonstrates how heterogenous data can be retrieved from global yet regionally tailored online retail platforms. A systematic data retrieval approach is suggested to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3 × 3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, United States, Japan). A streamlined choice of entries on the chosen online retail platforms is suggested. We determine adequate criteria that allow for data comparisons between different regions. This study’s systematic approach provides first-step solutions to gather, interpret, and manage information derived from online retail platforms to increase its business usage and value. The analysis of rating, pricing, and age rating similarities and differences in various countries is of value to game research and game developer studios. It can provide a basis to develop successful strategies for customer targeting in different regions.},
note = {Publisher Copyright: textcopyright 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
This study demonstrates how heterogenous data can be retrieved from global yet regionally tailored online retail platforms. A systematic data retrieval approach is suggested to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3 × 3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, United States, Japan). A streamlined choice of entries on the chosen online retail platforms is suggested. We determine adequate criteria that allow for data comparisons between different regions. This study’s systematic approach provides first-step solutions to gather, interpret, and manage information derived from online retail platforms to increase its business usage and value. The analysis of rating, pricing, and age rating similarities and differences in various countries is of value to game research and game developer studios. It can provide a basis to develop successful strategies for customer targeting in different regions.
2021
Boric, Sandra; Pöcze, Flora; Strauss, Christine; Webler, Henry
The Paying Customer – Motivational and Demographic Attributes of Freemium Game Players Konferenz
2021, (7th International Scientific-Business Conference on Leadership, Innovation, Management and Economics, LIMEN 2021 ; Conference date: 16-12-2021 Through 16-12-2021).
Abstract | BibTeX | Schlagwörter:
@conference{6a3cb2fa306a45caa0d07ff440b176b2,
title = {The Paying Customer – Motivational and Demographic Attributes of Freemium Game Players},
author = {Sandra Boric and Flora Pöcze and Christine Strauss and Henry Webler},
year = {2021},
date = {2021-12-01},
abstract = {Since only a small percentage of freemium game players contributes the most to revenue and microtransaction volumes of freemium games, the question arises what attributes distinguish this particular subgroup of players. This paper characterizes that group by means of motivational and demographic attributes resulting from an analysis of scientific literature findings. They suggest that rather than the in-game experience (e.g., the feeling of being rewarded and ability to freely play/access flexibility), found common motivational attributes involve environmental (e.g., brand loyalty, socialization, competitiveness) and visual aspects. Regarding demographics, a more differentiated picture is suggested, as the freemium model can be applied to all game genres and the demographic distribution depends on the game genre. An integration of theory from Intercultural Management may support a to-the-point customer profiling of spending gamers and - as a consequence - improve marketing strategies and foster market positions.},
note = {7th International Scientific-Business Conference on Leadership, Innovation, Management and Economics, LIMEN 2021 ; Conference date: 16-12-2021 Through 16-12-2021},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Since only a small percentage of freemium game players contributes the most to revenue and microtransaction volumes of freemium games, the question arises what attributes distinguish this particular subgroup of players. This paper characterizes that group by means of motivational and demographic attributes resulting from an analysis of scientific literature findings. They suggest that rather than the in-game experience (e.g., the feeling of being rewarded and ability to freely play/access flexibility), found common motivational attributes involve environmental (e.g., brand loyalty, socialization, competitiveness) and visual aspects. Regarding demographics, a more differentiated picture is suggested, as the freemium model can be applied to all game genres and the demographic distribution depends on the game genre. An integration of theory from Intercultural Management may support a to-the-point customer profiling of spending gamers and - as a consequence - improve marketing strategies and foster market positions.
Philipp, Robert; Mladenow, Andreas; Strauss, Christine; Voelz, Alexander
Revealing challenges within the application of machine learning services: A Delphi Study Artikel
In: Journal of Data Intelligence, Bd. 2, Nr. 1, S. 1–29, 2021, ISSN: 2577-610X.
Abstract | Links | BibTeX | Schlagwörter:
@article{ff5c381468e0412da355757989b448aa,
title = {Revealing challenges within the application of machine learning services: A Delphi Study},
author = {Robert Philipp and Andreas Mladenow and Christine Strauss and Alexander Voelz},
doi = {10.26421/JDI2.1-1},
issn = {2577-610X},
year = {2021},
date = {2021-03-01},
journal = {Journal of Data Intelligence},
volume = {2},
number = {1},
pages = {1--29},
publisher = {RINTON PRESS, INC},
abstract = {Over the past years, Machine Learning has been applied to an increasing number of problems across numerous industries. However, the steady rise in the application of Machine Learning has not come without challenges since companies often lack the expertise or infrastructure to build their own Machine Learning systems. These challenges led to the emergence of a new paradigm, called Machine Learning as a Service. Scientific literature has mainly analyzed this topic in the context of platform solutions that provide ready-to-use environments for companies. We recently have developed a platform-independent approach and labeled it Machine Learning Services. The aim of the present study is to identify and evaluate challenges and opportunities in the application of Machine Learning Services. To do so, we conducted a Delphi Study with a panel of machine learning experts. The study consisted of three rounds and was structured according to the five steps of the Data Science Lifecycle. A variety of challenges from the areas “Communication”, “Environment”, “Approach”, “Data”, “Retraining, Testing, Monitoring and Updating”, “Model Training and Evaluation” were identified. Subsequently, the challenges revealed by the Delphi Study were compared with previous work on Machine Learning as a Service, which resulted from a structured literature review. The identified areas serve as possible future research fields and give further implications for practice. Alleviating communication issues and assessing the business IT infrastructure prior to the machine learning project are among the key findings of our study.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Over the past years, Machine Learning has been applied to an increasing number of problems across numerous industries. However, the steady rise in the application of Machine Learning has not come without challenges since companies often lack the expertise or infrastructure to build their own Machine Learning systems. These challenges led to the emergence of a new paradigm, called Machine Learning as a Service. Scientific literature has mainly analyzed this topic in the context of platform solutions that provide ready-to-use environments for companies. We recently have developed a platform-independent approach and labeled it Machine Learning Services. The aim of the present study is to identify and evaluate challenges and opportunities in the application of Machine Learning Services. To do so, we conducted a Delphi Study with a panel of machine learning experts. The study consisted of three rounds and was structured according to the five steps of the Data Science Lifecycle. A variety of challenges from the areas “Communication”, “Environment”, “Approach”, “Data”, “Retraining, Testing, Monitoring and Updating”, “Model Training and Evaluation” were identified. Subsequently, the challenges revealed by the Delphi Study were compared with previous work on Machine Learning as a Service, which resulted from a structured literature review. The identified areas serve as possible future research fields and give further implications for practice. Alleviating communication issues and assessing the business IT infrastructure prior to the machine learning project are among the key findings of our study.
Philipp, Robert; Mladenow, Andreas; Strauss, Christine; Völz, Alexander
Revealing Challenges within the Application of Machine Learning Services - A Delphi Study Artikel
In: J. Data Intell., Bd. 2, Nr. 1, S. 1–29, 2021.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/rpjdi/PhilippMSV21,
title = {Revealing Challenges within the Application of Machine Learning Services
- A Delphi Study},
author = {Robert Philipp and Andreas Mladenow and Christine Strauss and Alexander Völz},
url = {https://doi.org/10.26421/JDI2.1-1},
doi = {10.26421/JDI2.1-1},
year = {2021},
date = {2021-01-01},
journal = {J. Data Intell.},
volume = {2},
number = {1},
pages = {1--29},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Strauss, Christine; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part I Konferenzbericht
Springer, Bd. 12923, 2021, ISBN: 978-3-030-86471-2.
Links | BibTeX | Schlagwörter:
@proceedings{DBLP:conf/dexa/2021-1,
title = {Database and Expert Systems Applications - 32nd International Conference,
DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part
I},
editor = {Christine Strauss and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
url = {https://doi.org/10.1007/978-3-030-86472-9},
doi = {10.1007/978-3-030-86472-9},
isbn = {978-3-030-86471-2},
year = {2021},
date = {2021-01-01},
volume = {12923},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Strauss, Christine; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.)
Database and Expert Systems Applications - 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part II Konferenzbericht
Springer, Bd. 12924, 2021, ISBN: 978-3-030-86474-3.
Links | BibTeX | Schlagwörter:
@proceedings{DBLP:conf/dexa/2021-2,
title = {Database and Expert Systems Applications - 32nd International Conference,
DEXA 2021, Virtual Event, September 27-30, 2021, Proceedings, Part
II},
editor = {Christine Strauss and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
url = {https://doi.org/10.1007/978-3-030-86475-0},
doi = {10.1007/978-3-030-86475-0},
isbn = {978-3-030-86474-3},
year = {2021},
date = {2021-01-01},
volume = {12924},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Voelz, Alexander; Mladenow, Andreas; Strauss, Christine
Beacon Technology for Retailers - Tracking Consumer Behavior Inside Brick-and-Mortar-Stores Konferenzbeitrag
In: Strauss, Christine; Kotsis, Gabriele; Tjoa, A Min; Khalil, Ismail (Hrsg.): Database and Expert Systems Applications, S. 380–390, Springer, 2021, ISBN: 978-3-030-86472-9, (Publisher Copyright: textcopyright 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 32nd International Conference on Database and Expert Systems Applications, DEXA 2021 ; Conference date: 27-09-2021 Through 30-09-2021).
Abstract | Links | BibTeX | Schlagwörter: MIB
@inproceedings{92d6e9e22c4749868d7e8d62cb5c61f7,
title = {Beacon Technology for Retailers - Tracking Consumer Behavior Inside Brick-and-Mortar-Stores},
author = {Alexander Voelz and Andreas Mladenow and Christine Strauss},
editor = {Christine Strauss and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
doi = {10.1007/978-3-030-86472-9_35},
isbn = {978-3-030-86472-9},
year = {2021},
date = {2021-01-01},
booktitle = {Database and Expert Systems Applications},
pages = {380--390},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {For many years, brick-and-mortar retail has been confronted with an ever-growing e-commerce as a strong competing alternative, and challenging customer expectations. As a result, retailers need to increasingly focus on integrating emerging technologies to keep pace with online retailers and improve the customer’s shopping experience. In this context, beacon technology has been credited with the potential to fundamentally transform the retail industry. However, to date, widespread adoption by retailers has failed to materialize. One reason for the failed adoption could be false expectations regarding the applications of the beacon technology in the retailing context. To investigate this assumption in depth, we analyzed relevant literature to identify possible applications that beacon technology enables for brick-and-mortar retailers. We categorized the identified applications into three groups: (i) indoor navigation and localization, (ii) tracking and analyzing customer behavior and (iii) personalized and location-based advertising. Our work aims at revealing these challenges to make the true potential of beacon technology for brick-and-mortar stores transparent.},
note = {Publisher Copyright: textcopyright 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 32nd International Conference on Database and Expert Systems Applications, DEXA 2021 ; Conference date: 27-09-2021 Through 30-09-2021},
keywords = {MIB},
pubstate = {published},
tppubtype = {inproceedings}
}
For many years, brick-and-mortar retail has been confronted with an ever-growing e-commerce as a strong competing alternative, and challenging customer expectations. As a result, retailers need to increasingly focus on integrating emerging technologies to keep pace with online retailers and improve the customer’s shopping experience. In this context, beacon technology has been credited with the potential to fundamentally transform the retail industry. However, to date, widespread adoption by retailers has failed to materialize. One reason for the failed adoption could be false expectations regarding the applications of the beacon technology in the retailing context. To investigate this assumption in depth, we analyzed relevant literature to identify possible applications that beacon technology enables for brick-and-mortar retailers. We categorized the identified applications into three groups: (i) indoor navigation and localization, (ii) tracking and analyzing customer behavior and (iii) personalized and location-based advertising. Our work aims at revealing these challenges to make the true potential of beacon technology for brick-and-mortar stores transparent.
Klein, Marvin; Strauss, Christine; Stummer, Christian
Business Information Through Choice-Based Conjoint Analysis: The Case of Electric Vehicle Home Charging Buchkapitel
In: Kryvinska, Natalia; Poniszewska-Maranda, Aneta (Hrsg.): Developments in Information & Knowledge Management for Business Applications, Bd. 2, S. 357–379, Springer, 2021, ISBN: 978-3-030-76631-3, (Publisher Copyright: textcopyright 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.).
Abstract | Links | BibTeX | Schlagwörter:
@inbook{77870a70b0c04b66a742082f485a2770,
title = {Business Information Through Choice-Based Conjoint Analysis: The Case of Electric Vehicle Home Charging},
author = {Marvin Klein and Christine Strauss and Christian Stummer},
editor = {Natalia Kryvinska and Aneta Poniszewska-Maranda},
doi = {10.1007/978-3-030-76632-0_13},
isbn = {978-3-030-76631-3},
year = {2021},
date = {2021-01-01},
booktitle = {Developments in Information & Knowledge Management for Business Applications},
volume = {2},
pages = {357--379},
publisher = {Springer},
series = {Studies in Systems, Decision and Control},
abstract = {Information and data fuel businesses and markets; thus, provision, generation, and interpretation of information and data are crucial to support managerial decisions. We demonstrate the generation of information through choice-based conjoint analysis using the example of electric vehicle charging. There are several alternatives for electric vehicle charging, with home charging being the main charging point for most of today’s electric and plug-in hybrid electric vehicles. Therefore, a large number of consumers consider home charging as mandatory when buying a car. Before blindly investing in the construction of charging stations close to citizens’ homes, decision makers (e.g., policy makers) need to learn about the impact of possible measures. This paper examines whether performance improvements in alternative vehicles (e.g., in terms of range or charging time) or governmental incentives (e.g., price subsidies) could compensate consumers for not having home charging stations. Findings reveal that, in general, both electric and plug-in hybrid electric vehicles profit from the construction of home charging stations, but its perceived benefit decreases continuously with faster charging times at public charging stations. However, at the present time, when the technological progress of electric vehicles remains low, monetary subsidies for environmentally friendly vehicles appear to mainly support only sales of plug-in hybrid electric vehicles.},
note = {Publisher Copyright: textcopyright 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Information and data fuel businesses and markets; thus, provision, generation, and interpretation of information and data are crucial to support managerial decisions. We demonstrate the generation of information through choice-based conjoint analysis using the example of electric vehicle charging. There are several alternatives for electric vehicle charging, with home charging being the main charging point for most of today’s electric and plug-in hybrid electric vehicles. Therefore, a large number of consumers consider home charging as mandatory when buying a car. Before blindly investing in the construction of charging stations close to citizens’ homes, decision makers (e.g., policy makers) need to learn about the impact of possible measures. This paper examines whether performance improvements in alternative vehicles (e.g., in terms of range or charging time) or governmental incentives (e.g., price subsidies) could compensate consumers for not having home charging stations. Findings reveal that, in general, both electric and plug-in hybrid electric vehicles profit from the construction of home charging stations, but its perceived benefit decreases continuously with faster charging times at public charging stations. However, at the present time, when the technological progress of electric vehicles remains low, monetary subsidies for environmentally friendly vehicles appear to mainly support only sales of plug-in hybrid electric vehicles.
Busse, Valerie; Strauss, Christine
Crowdfunding and Uncertain Decision Problems—Applying Shannon Entropy to Support Entrepreneurs Buchkapitel
In: Kryvinska, Natalia; Poniszewska-Maranda, Aneta (Hrsg.): Developments in Information & Knowledge Management for Business Applications, Bd. 2, S. 289–304, Springer, 2021, ISBN: 978-3-030-76631-3, (Publisher Copyright: textcopyright 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.).
Abstract | Links | BibTeX | Schlagwörter:
@inbook{7611094b5d1643388e0debd64e06d120,
title = {Crowdfunding and Uncertain Decision Problems—Applying Shannon Entropy to Support Entrepreneurs},
author = {Valerie Busse and Christine Strauss},
editor = {Natalia Kryvinska and Aneta Poniszewska-Maranda},
doi = {10.1007/978-3-030-76632-0_10},
isbn = {978-3-030-76631-3},
year = {2021},
date = {2021-01-01},
booktitle = {Developments in Information & Knowledge Management for Business Applications},
volume = {2},
pages = {289--304},
publisher = {Springer},
series = {Studies in Systems, Decision and Control},
abstract = {Crowdfunding has become an interesting and widely accepted alternative to finance start-ups and projects. This paper presents an introductory motivation by making transparent recent developments in crowdfunding; furthermore, it provides insights into the decision-making of the involved crowdfunding actors in their triadic relationship. Based on empirical data collected from five in-depth expert interviews we identified several factors, which influence the behavioral decision process of an entrepreneur when making a choice on a crowdfunding platform for their crowdfunding campaign. On the example of two of those identified factors we formalize the entrepreneur’s decision process using Shannon Entropy and give a numerical example. Results are interpreted and directions for further research are given.},
note = {Publisher Copyright: textcopyright 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Crowdfunding has become an interesting and widely accepted alternative to finance start-ups and projects. This paper presents an introductory motivation by making transparent recent developments in crowdfunding; furthermore, it provides insights into the decision-making of the involved crowdfunding actors in their triadic relationship. Based on empirical data collected from five in-depth expert interviews we identified several factors, which influence the behavioral decision process of an entrepreneur when making a choice on a crowdfunding platform for their crowdfunding campaign. On the example of two of those identified factors we formalize the entrepreneur’s decision process using Shannon Entropy and give a numerical example. Results are interpreted and directions for further research are given.
Boric, Sandra; Strauss, Christine
Exploiting Heterogenous Web Data – A Systematic Approach on the Example of Nintendo Switch Games Konferenzbeitrag
In: iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, S. 69–73, Association for Computing Machinery (ACM), 2021, (Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021).
Abstract | Links | BibTeX | Schlagwörter: Age Rating, Amazon, Game Genre, Germany, Japan, Nintendo, Nintendo Switch, Pricing, Rating score, U.S.A., Video Game Industry
@inproceedings{238e314391924b088e3d77b2ad27c944,
title = {Exploiting Heterogenous Web Data – A Systematic Approach on the Example of Nintendo Switch Games},
author = {Sandra Boric and Christine Strauss},
doi = {10.1145/3487664.3487674},
year = {2021},
date = {2021-01-01},
booktitle = {iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence},
pages = {69--73},
publisher = {Association for Computing Machinery (ACM)},
series = {ACM International Conference Proceeding Series},
abstract = {This paper shows how heterogenous web data can be retrieved from global yet regionally tailored online platforms such as Amazon. A systematic data retrieval approach was applied to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3x3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, U.S.A., Japan). A streamlined choice of Amazon-entries is suggested, and further criteria were set to allow comparisons between different regions. 196 Nintendo Switch games and 15 game genres were analysed. The results show which attributes accumulate the highest numbers of Amazon-ratings and rating scores in which country, and which genres have the highest Amazon- and Nintendo-prices. An uncovering of rating and pricing similarities and differences is of value to game research scholars and game developer studios and aids in a targeted catering to customers in different regions.},
note = {Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021},
keywords = {Age Rating, Amazon, Game Genre, Germany, Japan, Nintendo, Nintendo Switch, Pricing, Rating score, U.S.A., Video Game Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper shows how heterogenous web data can be retrieved from global yet regionally tailored online platforms such as Amazon. A systematic data retrieval approach was applied to obtain data from regional Amazon and Nintendo websites. The data retrieval uses a 3x3 criteria setting: Three attributes (genre, age rating, player-count), three forms of analysis (distribution, reception, price), and three countries (Germany, U.S.A., Japan). A streamlined choice of Amazon-entries is suggested, and further criteria were set to allow comparisons between different regions. 196 Nintendo Switch games and 15 game genres were analysed. The results show which attributes accumulate the highest numbers of Amazon-ratings and rating scores in which country, and which genres have the highest Amazon- and Nintendo-prices. An uncovering of rating and pricing similarities and differences is of value to game research scholars and game developer studios and aids in a targeted catering to customers in different regions.
Kotsis, Gabriele; Paschinger, Alexander; Strauss, Christine
Gamification and Application Features for Collaborative Environments Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization, and Engineering. 18th International Conference, CDVE 2021 Virtual Event, October 24–27, 2021, Proceedings, S. 1–12, Springer, 2021, ISBN: 978-3-030-88206-8, (Publisher Copyright: textcopyright 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 18th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2021 ; Conference date: 24-10-2021 Through 27-10-2021).
Abstract | Links | BibTeX | Schlagwörter: Collaboration, Gamification, Player types, Team interaction, Team management, Teamwork
@inproceedings{0fe353b59dee4ac6b50e96a5ffe8d942,
title = {Gamification and Application Features for Collaborative Environments},
author = {Gabriele Kotsis and Alexander Paschinger and Christine Strauss},
editor = {Yuhua Luo},
doi = {10.1007/978-3-030-88207-5_1},
isbn = {978-3-030-88206-8},
year = {2021},
date = {2021-01-01},
booktitle = {Cooperative Design, Visualization, and Engineering. 18th International Conference, CDVE 2021 Virtual Event, October 24–27, 2021, Proceedings},
pages = {1--12},
publisher = {Springer},
edition = {1.},
series = {Lecture Notes in Computer Science},
abstract = {Gamification has been adopted for various environments by applying design elements typically used within games onto a non-gaming context. In this paper we introduce a detailed concept for collaborative, team-oriented work that utilizes positive effects of gamification from a practical perspective. The integration of selected gamification features enhances functionality and usability of tools and collaborative applications. From detailed concept and implemented prototype, we demonstrate selected features, where gamification has been implemented to support interaction among team-members and improve overall team-productivity within collaborative, communicative and cooperating environments.},
note = {Publisher Copyright: textcopyright 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 18th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2021 ; Conference date: 24-10-2021 Through 27-10-2021},
keywords = {Collaboration, Gamification, Player types, Team interaction, Team management, Teamwork},
pubstate = {published},
tppubtype = {inproceedings}
}
Gamification has been adopted for various environments by applying design elements typically used within games onto a non-gaming context. In this paper we introduce a detailed concept for collaborative, team-oriented work that utilizes positive effects of gamification from a practical perspective. The integration of selected gamification features enhances functionality and usability of tools and collaborative applications. From detailed concept and implemented prototype, we demonstrate selected features, where gamification has been implemented to support interaction among team-members and improve overall team-productivity within collaborative, communicative and cooperating environments.
Kholodylo, Marta; Strauss, Christine
How Can Digital Games Recommender Systems Improve for Their Content Creators Konferenzbeitrag
In: Pardede, Eric; Indrawan-Santiago, Maria (Hrsg.): iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, S. 34–39, Association for Computing Machinery (ACM), 2021, (Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021).
Abstract | Links | BibTeX | Schlagwörter: Digital games, Electronic games, Electronic recommender systems, Independent game developers, Video games
@inproceedings{04132e73a24c414487f3f6751b9d4f81,
title = {How Can Digital Games Recommender Systems Improve for Their Content Creators},
author = {Marta Kholodylo and Christine Strauss},
editor = {Eric Pardede and Maria Indrawan-Santiago},
doi = {10.1145/3487664.3487670},
year = {2021},
date = {2021-01-01},
booktitle = {iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence},
pages = {34--39},
publisher = {Association for Computing Machinery (ACM)},
series = {ACM International Conference Proceeding Series},
abstract = {Electronic recommender systems serve as a vital component in digital distribution channels in the video games industry. They have allowed the small independent game developers to reach out to their customers directly, bypassing the publishing companies, and help to decrease the game production costs. However, as they are a relatively new tool, they do not meet all the needs of their content creators yet. This paper aims at analysing the electronic recommender systems from the independent developers’ point of view. It is based on a qualitative study, which consists of semi-structured expert interviews with game developers from various countries. The results of this study could be useful to intermediaries such as electronic recommender systems operators, who aim to improve their services for the content creators, as well as the independent game developers, who are looking to improve their business models.},
note = {Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021},
keywords = {Digital games, Electronic games, Electronic recommender systems, Independent game developers, Video games},
pubstate = {published},
tppubtype = {inproceedings}
}
Electronic recommender systems serve as a vital component in digital distribution channels in the video games industry. They have allowed the small independent game developers to reach out to their customers directly, bypassing the publishing companies, and help to decrease the game production costs. However, as they are a relatively new tool, they do not meet all the needs of their content creators yet. This paper aims at analysing the electronic recommender systems from the independent developers’ point of view. It is based on a qualitative study, which consists of semi-structured expert interviews with game developers from various countries. The results of this study could be useful to intermediaries such as electronic recommender systems operators, who aim to improve their services for the content creators, as well as the independent game developers, who are looking to improve their business models.
Hafner, Patrick; Voelz, Alexander; Strauss, Christine
Smart Retailing Technologies to counter current Retail Challenges - An Assessment of Impacts Konferenzbeitrag
In: Pardede, Eric; Indrawan-Santiago, Maria; Haghighi, Pari Delir; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, S. 586–595, ACM, 2021, (Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021).
Abstract | Links | BibTeX | Schlagwörter: Brick-and-Mortar Stores, Impact Assessment, In-Store Technologies, Smart Retail Technologies, Smart Retailing
@inproceedings{6990957bfb934c04820ee30cfd65d5d3,
title = {Smart Retailing Technologies to counter current Retail Challenges - An Assessment of Impacts},
author = {Patrick Hafner and Alexander Voelz and Christine Strauss},
editor = {Eric Pardede and Maria Indrawan-Santiago and Pari Delir Haghighi and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
doi = {10.1145/3487664.3487808},
year = {2021},
date = {2021-01-01},
booktitle = {iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence},
pages = {586--595},
publisher = {ACM},
series = {Information Integration and Web-based Applications & Services : Proceedings of the ... International Conference on Information Integration and Web-based Applications & Services},
abstract = {Smart Retailing (SR) is discussed in the current literature as a possible answer of brick-and-mortar stores to the challenges created by the rise of e-commerce. This study aims to assess the current state of research in SR and evaluate its potential to confront the challenges that have arisen in the industry. First, based on a literature review of key journals in the field, a classification of relevant SR technologies was conducted. As a result, the three categories: (i) service-oriented, (ii) business process-oriented, and (iii) hybrid SR technologies, were created and discussed in detail. Second, fundamental benefits and challenges associated with the implementation of SR at the point-of-sale (PoS) are derived and discussed. Third, a comparison of specific areas of impact for implementing the individual technologies was carried out. Overall, this work has taken further steps to provide more insights into the potential of SR in future retail scenarios, regarding the challenges faced by brick-and-mortar retail.},
note = {Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021},
keywords = {Brick-and-Mortar Stores, Impact Assessment, In-Store Technologies, Smart Retail Technologies, Smart Retailing},
pubstate = {published},
tppubtype = {inproceedings}
}
Smart Retailing (SR) is discussed in the current literature as a possible answer of brick-and-mortar stores to the challenges created by the rise of e-commerce. This study aims to assess the current state of research in SR and evaluate its potential to confront the challenges that have arisen in the industry. First, based on a literature review of key journals in the field, a classification of relevant SR technologies was conducted. As a result, the three categories: (i) service-oriented, (ii) business process-oriented, and (iii) hybrid SR technologies, were created and discussed in detail. Second, fundamental benefits and challenges associated with the implementation of SR at the point-of-sale (PoS) are derived and discussed. Third, a comparison of specific areas of impact for implementing the individual technologies was carried out. Overall, this work has taken further steps to provide more insights into the potential of SR in future retail scenarios, regarding the challenges faced by brick-and-mortar retail.
Neudoerfer, Felix; Mladenow, Andreas; Strauss, Christine
Urban Crowd-Logistics - Monetary compensation and willingness to work as occasional driver Artikel
In: Procedia Computer Science, Bd. 184, S. 508–515, 2021, ISSN: 1877-0509, (Publisher Copyright: textcopyright 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops ; Conference date: 23-03-2021 Through 26-03-2021).
Abstract | Links | BibTeX | Schlagwörter: Crowd-Logistics, Crowdshipping, crowdsourcing, Urban logistics
@article{d4294c796b6f48dca91c3d5bbb69c816,
title = {Urban Crowd-Logistics - Monetary compensation and willingness to work as occasional driver},
author = {Felix Neudoerfer and Andreas Mladenow and Christine Strauss},
doi = {10.1016/j.procs.2021.03.064},
issn = {1877-0509},
year = {2021},
date = {2021-01-01},
journal = {Procedia Computer Science},
volume = {184},
pages = {508--515},
publisher = {Elsevier},
abstract = {Online sales of goods and services are constantly increasing, which imposes a significant challenge on logistics networks worldwide. Enabled by recent technological developments and crowdsourcing concepts, novel ways of delivering goods have emerged lately. To provide insights into the motivations of crowdsourcees and their willingness to work as occasional drivers, as well as into the requirements a crowdshipping company shall fulfil, we performed a survey with 100 respondents. Methodologically we applied a contingent valuation, which identifies elements the crowdsourcing business model shall provide to make it a sustainable one. (C) 2021 The Authors. Published by Elsevier B.V.},
note = {Publisher Copyright: textcopyright 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 12th International Conference on Ambient Systems, Networks and Technologies, ANT 2021 / 4th International Conference on Emerging Data and Industry 4.0, EDI40 2021 / Affiliated Workshops ; Conference date: 23-03-2021 Through 26-03-2021},
keywords = {Crowd-Logistics, Crowdshipping, crowdsourcing, Urban logistics},
pubstate = {published},
tppubtype = {article}
}
Online sales of goods and services are constantly increasing, which imposes a significant challenge on logistics networks worldwide. Enabled by recent technological developments and crowdsourcing concepts, novel ways of delivering goods have emerged lately. To provide insights into the motivations of crowdsourcees and their willingness to work as occasional drivers, as well as into the requirements a crowdshipping company shall fulfil, we performed a survey with 100 respondents. Methodologically we applied a contingent valuation, which identifies elements the crowdsourcing business model shall provide to make it a sustainable one. (C) 2021 The Authors. Published by Elsevier B.V.
Nguyen, Hai Son; Mladenow, Andreas; Strauss, Christine; Auer-Srnka, Katharina
Voice Commerce: Anthropomorphism Using Voice Assistants Konferenzbeitrag
In: Pardede, Eric; Indrawan-Santiago, Maria; Haghighi, Pari Delir; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, S. 434–442, ACM, 2021, (Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021).
Abstract | Links | BibTeX | Schlagwörter:
@inproceedings{6d79a05bee4c428988536f47f0d842d2,
title = {Voice Commerce: Anthropomorphism Using Voice Assistants},
author = {Hai Son Nguyen and Andreas Mladenow and Christine Strauss and Katharina Auer-Srnka},
editor = {Eric Pardede and Maria Indrawan-Santiago and Pari Delir Haghighi and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
doi = {10.1145/3487664.3487724},
year = {2021},
date = {2021-01-01},
booktitle = {iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence},
pages = {434--442},
publisher = {ACM},
series = {Information Integration and Web-based Applications & Services : Proceedings of the ... International Conference on Information Integration and Web-based Applications & Services},
abstract = {Voice assistants comprehend and use complex natural language and have become more pervasive in people's homes. Many effects of these technologies on consumer behaviour and their implications for manufacturers and businesses are still unexplored in literature. This paper aims to understand the impact of anthropomorphism on consumer attitudes and behavioural intentions. More specifically, the paper intends to investigate 1) whether and 2) how anthropomorphism in voice assistants influences the manner consumers evaluate products and establish purchase intentions when shopping with voice assistants. Hence, the paper concludes that anthropomorphism plays a notable role in changing the consumer's attitude and behavioural intentions. However, its impact could be easily manipulated by other technical constraints such as interaction fluency, intent classification, lack of visual display etc. Multiple interpretation attempts are presented and possible implications for manufacturers and e-retailers discussed.},
note = {Publisher Copyright: textcopyright 2021 ACM. Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 ; Conference date: 29-11-2021 Through 01-12-2021},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Voice assistants comprehend and use complex natural language and have become more pervasive in people's homes. Many effects of these technologies on consumer behaviour and their implications for manufacturers and businesses are still unexplored in literature. This paper aims to understand the impact of anthropomorphism on consumer attitudes and behavioural intentions. More specifically, the paper intends to investigate 1) whether and 2) how anthropomorphism in voice assistants influences the manner consumers evaluate products and establish purchase intentions when shopping with voice assistants. Hence, the paper concludes that anthropomorphism plays a notable role in changing the consumer's attitude and behavioural intentions. However, its impact could be easily manipulated by other technical constraints such as interaction fluency, intent classification, lack of visual display etc. Multiple interpretation attempts are presented and possible implications for manufacturers and e-retailers discussed.
2020
Philipp, Robert; Mladenow, Andreas; Strauss, Christine; Voelz, Alexander
Machine Learning as a Service: Challenges in Research and Applications Konferenzbeitrag
In: Indrawan-Santiago, Maria; Pardede, Eric; Salvadori, Ivan Luiz; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): Proceedings of the 22nd International Conference on Information Integration and Web-based Applications& Services (iiWAS2020), S. 396–406, ACM, 2020, (Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020).
Abstract | Links | BibTeX | Schlagwörter: Machine Learning, Machine Learning as a Service, Machine Learning Platform, Machine Learning Services, MLaaS
@inproceedings{24937dd44de3487eb2fb49f3ffd79982,
title = {Machine Learning as a Service: Challenges in Research and Applications},
author = {Robert Philipp and Andreas Mladenow and Christine Strauss and Alexander Voelz},
editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
doi = {10.1145/3428757.3429152},
year = {2020},
date = {2020-11-30},
booktitle = {Proceedings of the 22nd International Conference on Information Integration and Web-based Applications& Services (iiWAS2020)},
pages = {396--406},
publisher = {ACM},
series = {ACM International Conference Proceeding Series (ICPS)},
abstract = {This study aims to evaluate the current state of research with regards to Machine Learning as a Service (MLaaS) and to identify challenges and research fields of this novel topic. First, a literature review on a basket of eight leading journals was performed. We motivate this study by identifying a lack of studies in the field of MLaaS. The structured literature review was further extended to established scientific databases relevant in this field. We found 30 contributions on MLaaS. As a result of the analysis we grouped them into four key concepts: Platform, Applications; Performance Enhancements and Challenges. Three of the derived concepts are discussed in detail to identify future research areas and to reveal challenges in research as well as in applications.},
note = {Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020},
keywords = {Machine Learning, Machine Learning as a Service, Machine Learning Platform, Machine Learning Services, MLaaS},
pubstate = {published},
tppubtype = {inproceedings}
}
This study aims to evaluate the current state of research with regards to Machine Learning as a Service (MLaaS) and to identify challenges and research fields of this novel topic. First, a literature review on a basket of eight leading journals was performed. We motivate this study by identifying a lack of studies in the field of MLaaS. The structured literature review was further extended to established scientific databases relevant in this field. We found 30 contributions on MLaaS. As a result of the analysis we grouped them into four key concepts: Platform, Applications; Performance Enhancements and Challenges. Three of the derived concepts are discussed in detail to identify future research areas and to reveal challenges in research as well as in applications.
Reiting, Philip; Mladenow, Andreas; Strauss, Christine; Kotsis, Gabriele
Mobile payment: Classic approaches to promote consumer adoption Artikel
In: ACM International Conference Proceedings Series, S. 84–93, 2020, (Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 18th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2020, in conjunction with the 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020).
Abstract | Links | BibTeX | Schlagwörter: consumer adoption, mobile payment, mobile transactions, TAM, technology acceptance model, technology adoption
@article{b1b3dac211664acaaf99bf510bc1dfa2,
title = {Mobile payment: Classic approaches to promote consumer adoption},
author = {Philip Reiting and Andreas Mladenow and Christine Strauss and Gabriele Kotsis},
doi = {10.1145/3428690.3429182},
year = {2020},
date = {2020-11-30},
journal = {ACM International Conference Proceedings Series},
pages = {84--93},
publisher = {ACM},
abstract = {The development and diffusion of smartphones has led to many new trends, among them a new payment solution in the form of mobile payment. This paper places its focus on factors influencing consumer adoption of mobile payment. The basis for this is often the technology acceptance model and unified theory of acceptance and use of technology. Several factors including perceived ease of use, perceived usefulness, performance expectancy and social influence were found to influence primary adoption while a compelling user experience, usability and enjoyment were found to be a main driver of long-term usage.},
note = {Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 18th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2020, in conjunction with the 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020},
keywords = {consumer adoption, mobile payment, mobile transactions, TAM, technology acceptance model, technology adoption},
pubstate = {published},
tppubtype = {article}
}
The development and diffusion of smartphones has led to many new trends, among them a new payment solution in the form of mobile payment. This paper places its focus on factors influencing consumer adoption of mobile payment. The basis for this is often the technology acceptance model and unified theory of acceptance and use of technology. Several factors including perceived ease of use, perceived usefulness, performance expectancy and social influence were found to influence primary adoption while a compelling user experience, usability and enjoyment were found to be a main driver of long-term usage.
Raff, Andreas; Mladenow, Andreas; Strauss, Christine
Music Discovery as Differentiation Strategy for Streaming Providers Konferenzbeitrag
In: Indrawan-Santiago, Maria; Pardede, Eric; Salvadori, Ivan Luiz; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): iiWAS2020 - The 22nd International Conference on Information Integration and Web-based Applications & Services, S. 476–480, ACM, 2020, ISBN: 978-1-4503-8924-2, (Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020).
Abstract | Links | BibTeX | Schlagwörter: Music Discovery, Music Streaming, Streaming Provider, User Behaviour
@inproceedings{62577447c04444f084077723519cedcd,
title = {Music Discovery as Differentiation Strategy for Streaming Providers},
author = {Andreas Raff and Andreas Mladenow and Christine Strauss},
editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
doi = {10.1145/3428757.3429151},
isbn = {978-1-4503-8924-2},
year = {2020},
date = {2020-11-30},
booktitle = {iiWAS2020 - The 22nd International Conference on Information Integration and Web-based Applications & Services},
pages = {476--480},
publisher = {ACM},
series = {ACM International Conference Proceeding Series (ICPS)},
abstract = {Music discovery presents itself in an instant and in a multitude of possible ways. When comparing the user personas of streaming services in the dimension of music discovery, two main differentiation criteria become apparent, namely the degree of intention and the control one wants to exert when discovering new music. Against this background, this paper proposes a framework which categorises the possible ways of music discovery in a streaming provider with the help of those two criteria into active, semi-active, semi-passive and passive ways in order to analyse them separately, outline success factors and current research.},
note = {Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 22nd International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2020 ; Conference date: 30-11-2020 Through 02-12-2020},
keywords = {Music Discovery, Music Streaming, Streaming Provider, User Behaviour},
pubstate = {published},
tppubtype = {inproceedings}
}
Music discovery presents itself in an instant and in a multitude of possible ways. When comparing the user personas of streaming services in the dimension of music discovery, two main differentiation criteria become apparent, namely the degree of intention and the control one wants to exert when discovering new music. Against this background, this paper proposes a framework which categorises the possible ways of music discovery in a streaming provider with the help of those two criteria into active, semi-active, semi-passive and passive ways in order to analyse them separately, outline success factors and current research.
Poecze, Flora; Strauss, Christine
Social Capital on Social Media — Concepts, Measurement Techniques and Trends in Operationalization Artikel
In: Information, Bd. 11, Nr. 11, S. 1–16, 2020, ISSN: 2078-2489, (Funding Information: Open Access Funding by the University of Vienna. Publisher Copyright: textcopyright 2020 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.).
Abstract | Links | BibTeX | Schlagwörter: measurement, operationalization, scoping review, social capital, social media
@article{ecbaa143162742f8992d080671f3bef4,
title = {Social Capital on Social Media — Concepts, Measurement Techniques and Trends in Operationalization},
author = {Flora Poecze and Christine Strauss},
doi = {10.3390/info11110515},
issn = {2078-2489},
year = {2020},
date = {2020-11-04},
journal = {Information},
volume = {11},
number = {11},
pages = {1--16},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
abstract = {The introduction of the Web 2.0 era and the associated emergence of social media platforms opened an interdisciplinary research domain, wherein a growing number of studies are focusing on the interrelationship of social media usage and perceived individual social capital. The primary aim of the present study is to introduce the existing measurement techniques of social capital in this domain, explore trends, and offer promising directions and implications for future research. Applying the method of a scoping review, a set of 80 systematically identified scientific publications were analyzed, categorized, grouped and discussed. Focus was placed on the employed viewpoints and measurement techniques necessary to tap into the possible consistencies and/or heterogeneity in this domain in terms of operationalization. The results reveal that multiple views and measurement techniques are present in this research area, which might raise a challenge in future synthesis approaches, especially in the case of future meta-analytical contributions.},
note = {Funding Information: Open Access Funding by the University of Vienna. Publisher Copyright: textcopyright 2020 by the authors. Licensee MDPI, Basel, Switzerland. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.},
keywords = {measurement, operationalization, scoping review, social capital, social media},
pubstate = {published},
tppubtype = {article}
}
The introduction of the Web 2.0 era and the associated emergence of social media platforms opened an interdisciplinary research domain, wherein a growing number of studies are focusing on the interrelationship of social media usage and perceived individual social capital. The primary aim of the present study is to introduce the existing measurement techniques of social capital in this domain, explore trends, and offer promising directions and implications for future research. Applying the method of a scoping review, a set of 80 systematically identified scientific publications were analyzed, categorized, grouped and discussed. Focus was placed on the employed viewpoints and measurement techniques necessary to tap into the possible consistencies and/or heterogeneity in this domain in terms of operationalization. The results reveal that multiple views and measurement techniques are present in this research area, which might raise a challenge in future synthesis approaches, especially in the case of future meta-analytical contributions.
Schleef, Melina; Steinlechner, Jasper; Stummer, Christian; Strauss, Christine
Cooperation Between Performance and Innovation Engine: An Exploratory Study of Digital Innovation Labs in Family Business Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization, and Engineering, S. 249–259, Springer, 2020, ISBN: 978-3-030-60815-6, (Publisher Copyright: textcopyright 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 ; Conference date: 25-10-2020 Through 28-10-2020).
Abstract | Links | BibTeX | Schlagwörter: Cooperation between performance and innovation engine, Cooperative organization, Digital innovation labs, Explorative case study, MIB
@inproceedings{e8899506808542368529e9d2065de96e,
title = {Cooperation Between Performance and Innovation Engine: An Exploratory Study of Digital Innovation Labs in Family Business},
author = {Melina Schleef and Jasper Steinlechner and Christian Stummer and Christine Strauss},
editor = {Yuhua Luo},
doi = {10.1007/978-3-030-60816-3_28},
isbn = {978-3-030-60815-6},
year = {2020},
date = {2020-10-16},
booktitle = {Cooperative Design, Visualization, and Engineering},
volume = {12341},
pages = {249--259},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {Digital innovation laboratories (DILs) constitute a promising approach to supporting a firm’s digital transformation. Whereas the firm’s existent departments, which form the so-called performance engine, can keep focusing on daily operations, the DIL representing the innovation engine executes digital innovation tasks. Cooperation between the performance engine and the innovation engine—including, but not limited to, the continuous exchange of information—is critical for the success of such an organizational setting. As research in this specific field of cooperative organization is still scarce, we employed an explorative case-study approach based on interviews with managers from DILs in family firms. Family business was chosen because it plays a prominent role in the German economy and it shall identify its own best practice in facing the digital future. We investigated on drivers, challenges, and organizational issues for establishing and operating such DILs. The findings provide valuable insights for practitioners in family business and may serve as a starting point for further research to examine differences between DILs in family and non-family business.},
note = {Publisher Copyright: textcopyright 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 ; Conference date: 25-10-2020 Through 28-10-2020},
keywords = {Cooperation between performance and innovation engine, Cooperative organization, Digital innovation labs, Explorative case study, MIB},
pubstate = {published},
tppubtype = {inproceedings}
}
Digital innovation laboratories (DILs) constitute a promising approach to supporting a firm’s digital transformation. Whereas the firm’s existent departments, which form the so-called performance engine, can keep focusing on daily operations, the DIL representing the innovation engine executes digital innovation tasks. Cooperation between the performance engine and the innovation engine—including, but not limited to, the continuous exchange of information—is critical for the success of such an organizational setting. As research in this specific field of cooperative organization is still scarce, we employed an explorative case-study approach based on interviews with managers from DILs in family firms. Family business was chosen because it plays a prominent role in the German economy and it shall identify its own best practice in facing the digital future. We investigated on drivers, challenges, and organizational issues for establishing and operating such DILs. The findings provide valuable insights for practitioners in family business and may serve as a starting point for further research to examine differences between DILs in family and non-family business.
Kryvinska, Natalia; Kaczor, Sebastian; Strauss, Christine
In: Applied Sciences, Bd. 10, Nr. 8, 2020, ISSN: 2076-3417, (Publisher Copyright: textcopyright 2020 by the authors.).
Abstract | Links | BibTeX | Schlagwörter: BUSINESS MODEL INNOVATION, DESERVITIZATION, enterprise, IMPACT, OF-THE-ART, OPERATIONS, PRODUCT FIRMS, product-service-systems, service science, SERVICE-DOMINANT-LOGIC, servitization, SYSTEMS, TECHNOLOGIES, TRANSFORMATION, value co-creation
@article{34350ddd5b1e4a6aa7814da4ba14b2eb,
title = {Enterprises’ Servitization in the First Decade: Retrospective Analysis of Back-End and Front-End Challenges},
author = {Natalia Kryvinska and Sebastian Kaczor and Christine Strauss},
doi = {10.3390/app10082957},
issn = {2076-3417},
year = {2020},
date = {2020-04-24},
journal = {Applied Sciences},
volume = {10},
number = {8},
publisher = {MDPI AG},
abstract = {The concept of servitization provides major benefits both for the performing company and for the profiting customer. Thus, during the last years many companies were heading for this well-proven direction tempted by expectations, but have been possibly even not aware of some inherent challenges. Since there are some issues even threatening the existence of companies, and some other rather easy to overcome, it is by all means necessary to consider and deal with this matter. Hence, this paper provides an insight into pitfalls in servitization named “service paradox” and addresses corresponding managerial issues. To operationalize the challenges of servitization, this paper suggests a separationamong internal back-end challenges and customer-facing front-end issues, which represents the applied framework for their examination. Besides, the matter of appropriate pricing and the inherent shift of risks towards suppliers are discussed. Finally, the last part concludes the analysis outputs and gives suggestions for the future strategies in the enterprise servitization.},
note = {Publisher Copyright: textcopyright 2020 by the authors.},
keywords = {BUSINESS MODEL INNOVATION, DESERVITIZATION, enterprise, IMPACT, OF-THE-ART, OPERATIONS, PRODUCT FIRMS, product-service-systems, service science, SERVICE-DOMINANT-LOGIC, servitization, SYSTEMS, TECHNOLOGIES, TRANSFORMATION, value co-creation},
pubstate = {published},
tppubtype = {article}
}
The concept of servitization provides major benefits both for the performing company and for the profiting customer. Thus, during the last years many companies were heading for this well-proven direction tempted by expectations, but have been possibly even not aware of some inherent challenges. Since there are some issues even threatening the existence of companies, and some other rather easy to overcome, it is by all means necessary to consider and deal with this matter. Hence, this paper provides an insight into pitfalls in servitization named “service paradox” and addresses corresponding managerial issues. To operationalize the challenges of servitization, this paper suggests a separationamong internal back-end challenges and customer-facing front-end issues, which represents the applied framework for their examination. Besides, the matter of appropriate pricing and the inherent shift of risks towards suppliers are discussed. Finally, the last part concludes the analysis outputs and gives suggestions for the future strategies in the enterprise servitization.
Bauer, Christine; Schmid, Katharina Sophie; Strauss, Christine
An Open Model for Researching the Role of Culture in Online Self-Disclosure Konferenzbeitrag
In: 51st Hawaii International Conference on System Sciences (HICSS 2018), S. 216–225, Curran Associates, 2020, (10 pages, 1 figure, 51st Hawaii International Conference on System Sciences (HICSS 2018), Waikoloa, Big Island, HI, USA; nominated for best paper award; null ; Conference date: 02-01-2018 Through 06-01-2018).
Abstract | Links | BibTeX | Schlagwörter: Computer Science - Computers and Society, Computer Science - Human-Computer Interaction
@inproceedings{888282da608d475aa6c296f4d10f5fee,
title = {An Open Model for Researching the Role of Culture in Online Self-Disclosure},
author = {Christine Bauer and Katharina Sophie Schmid and Christine Strauss},
url = {http://hiccs.hawaii.edu},
doi = {10.24251/HICSS.2018.460},
year = {2020},
date = {2020-03-19},
booktitle = {51st Hawaii International Conference on System Sciences (HICSS 2018)},
volume = {1},
pages = {216--225},
publisher = {Curran Associates},
series = {Proceedings of the Annual Hawaii International Conference on System Sciences},
abstract = {The analysis of consumers' personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantly -- this is particularly true for information provided on social network services. Still, people manage the privacy level they want to maintain by disclosing by disclosing PI accordingly. In addition, studies have shown that consumers' online self-disclosure(OSD) differs across cultures. Therefore, intelligent systems should consider cultural issues when collecting, processing, storing or protecting data from consumers. However, existing studies typically rely on a comparison of two cultures, providing valuable insights but not drawing a comprehensive picture. We introduce an open research model for cultural OSD research, based on the privacy calculus theory. Our open research model incorporates six cultural dimensions, six predictors, and 24 structured propositions. It represents a comprehensive approach that provides a basis to explain possible cultural OSD phenomena in a systematic way.},
note = {10 pages, 1 figure, 51st Hawaii International Conference on System Sciences (HICSS 2018), Waikoloa, Big Island, HI, USA; nominated for best paper award; null ; Conference date: 02-01-2018 Through 06-01-2018},
keywords = {Computer Science - Computers and Society, Computer Science - Human-Computer Interaction},
pubstate = {published},
tppubtype = {inproceedings}
}
The analysis of consumers' personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantly -- this is particularly true for information provided on social network services. Still, people manage the privacy level they want to maintain by disclosing by disclosing PI accordingly. In addition, studies have shown that consumers' online self-disclosure(OSD) differs across cultures. Therefore, intelligent systems should consider cultural issues when collecting, processing, storing or protecting data from consumers. However, existing studies typically rely on a comparison of two cultures, providing valuable insights but not drawing a comprehensive picture. We introduce an open research model for cultural OSD research, based on the privacy calculus theory. Our open research model incorporates six cultural dimensions, six predictors, and 24 structured propositions. It represents a comprehensive approach that provides a basis to explain possible cultural OSD phenomena in a systematic way.
Poecze, Flora; Strauss, Christine
Social Capital on Social Media - Concepts, Measurement Techniques and Trends in Operationalization Artikel
In: Inf., Bd. 11, Nr. 11, S. 515, 2020.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/information/PoeczeS20,
title = {Social Capital on Social Media - Concepts, Measurement Techniques
and Trends in Operationalization},
author = {Flora Poecze and Christine Strauss},
url = {https://doi.org/10.3390/info11110515},
doi = {10.3390/info11110515},
year = {2020},
date = {2020-01-01},
journal = {Inf.},
volume = {11},
number = {11},
pages = {515},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Schleef, Melina; Steinlechner, Jasper; Strauss, Christine; Stummer, Christian
Cooperation Between Performance and Innovation Engine: An Exploratory Study of Digital Innovation Labs in Family Business Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization, and Engineering - 17th International Conference, CDVE 2020, Bangkok, Thailand, October 25-28, 2020, Proceedings, S. 249–259, Springer, 2020.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/cdve/SchleefSSS20,
title = {Cooperation Between Performance and Innovation Engine: An Exploratory
Study of Digital Innovation Labs in Family Business},
author = {Melina Schleef and Jasper Steinlechner and Christine Strauss and Christian Stummer},
editor = {Yuhua Luo},
url = {https://doi.org/10.1007/978-3-030-60816-3_28},
doi = {10.1007/978-3-030-60816-3_28},
year = {2020},
date = {2020-01-01},
booktitle = {Cooperative Design, Visualization, and Engineering - 17th International
Conference, CDVE 2020, Bangkok, Thailand, October 25-28, 2020, Proceedings},
volume = {12341},
pages = {249--259},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Kuzmina, Elena; Klochko, Oksana; Savina, Nataliia; Yaremko, Svetlana; Akselrod, Roman; Strauss, Christine
Risk Analysis of the Company's Activities by Means of Simulation Konferenzbeitrag
In: Pickl, Stefan Wolfgang; Lytvynenko, Volodymyr; Zharikova, Maryna; Sherstjuk, Volodymyr (Hrsg.): Proceedings of the 1st International Workshop on Computational & Information Technologies for Risk-Informed Systems (CITRisk 2020) co-located with XX International scientific and technical conference on Information Technologies in Education and Management (cyrcharCYRIIcyrcharCYRTcyrcharCYREcyrcharCYRM 2020), Kherson, Ukraine, October 15-16, 2020, S. 162–174, CEUR-WS.org, 2020.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/citrisk/KuzminaKSYAS20,
title = {Risk Analysis of the Company's Activities by Means of Simulation},
author = {Elena Kuzmina and Oksana Klochko and Nataliia Savina and Svetlana Yaremko and Roman Akselrod and Christine Strauss},
editor = {Stefan Wolfgang Pickl and Volodymyr Lytvynenko and Maryna Zharikova and Volodymyr Sherstjuk},
url = {http://ceur-ws.org/Vol-2805/paper12.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 1st International Workshop on Computational &
Information Technologies for Risk-Informed Systems (CITRisk 2020)
co-located with XX International scientific and technical conference
on Information Technologies in Education and Management (cyrcharCYRIIcyrcharCYRTcyrcharCYREcyrcharCYRM
2020), Kherson, Ukraine, October 15-16, 2020},
volume = {2805},
pages = {162--174},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Philipp, Robert; Mladenow, Andreas; Strauss, Christine; Völz, Alexander
Machine Learning as a Service: Challenges in Research and Applications Konferenzbeitrag
In: Indrawan-Santiago, Maria; Pardede, Eric; Salvadori, Ivan Luiz; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30 - December 2, 2020, S. 396–406, ACM, 2020.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/iiwas/PhilippMSV20,
title = {Machine Learning as a Service: Challenges in Research and Applications},
author = {Robert Philipp and Andreas Mladenow and Christine Strauss and Alexander Völz},
editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
url = {https://doi.org/10.1145/3428757.3429152},
doi = {10.1145/3428757.3429152},
year = {2020},
date = {2020-01-01},
booktitle = {iiWAS '20: The 22nd International Conference on Information Integration
and Web-based Applications & Services, Virtual Event / Chiang Mai,
Thailand, November 30 - December 2, 2020},
pages = {396--406},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Raff, Andreas; Mladenow, Andreas; Strauss, Christine
Music Discovery as Differentiation Strategy for Streaming Providers Konferenzbeitrag
In: Indrawan-Santiago, Maria; Pardede, Eric; Salvadori, Ivan Luiz; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30 - December 2, 2020, S. 476–480, ACM, 2020.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/iiwas/RaffMS20,
title = {Music Discovery as Differentiation Strategy for Streaming Providers},
author = {Andreas Raff and Andreas Mladenow and Christine Strauss},
editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
url = {https://doi.org/10.1145/3428757.3429151},
doi = {10.1145/3428757.3429151},
year = {2020},
date = {2020-01-01},
booktitle = {iiWAS '20: The 22nd International Conference on Information Integration
and Web-based Applications & Services, Virtual Event / Chiang Mai,
Thailand, November 30 - December 2, 2020},
pages = {476--480},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Reiting, Philip; Mladenow, Andreas; Strauss, Christine; Kotsis, Gabriele
Mobile payment: classic approaches to promote consumer adoption Konferenzbeitrag
In: Haghighi, Pari Delir; Salvadori, Ivan; Steinbauer, Matthias; Khalil, Ismail; Kotsis, Gabriele (Hrsg.): MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30 - December 2, 2020, S. 84–93, ACM, 2020.
Links | BibTeX | Schlagwörter:
@inproceedings{DBLP:conf/momm/ReitingMSK20,
title = {Mobile payment: classic approaches to promote consumer adoption},
author = {Philip Reiting and Andreas Mladenow and Christine Strauss and Gabriele Kotsis},
editor = {Pari Delir Haghighi and Ivan Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
url = {https://doi.org/10.1145/3428690.3429182},
doi = {10.1145/3428690.3429182},
year = {2020},
date = {2020-01-01},
booktitle = {MoMM '20: The 18th International Conference on Advances in Mobile
Computing and Multimedia, Chiang Mai, Thailand, November 30 - December
2, 2020},
pages = {84--93},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Bauer, Christine; Schmid, Katharina Sophie; Strauss, Christine
An Open Model for Researching the Role of Culture in Online Self-Disclosure Artikel
In: CoRR, Bd. abs/2003.08942, 2020.
Links | BibTeX | Schlagwörter:
@article{DBLP:journals/corr/abs-2003-08942,
title = {An Open Model for Researching the Role of Culture in Online Self-Disclosure},
author = {Christine Bauer and Katharina Sophie Schmid and Christine Strauss},
url = {https://arxiv.org/abs/2003.08942},
year = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2003.08942},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lego, Tomas; Mladenow, Andreas; Strauss, Christine
Assessment of eCall’s Effects on the Economy and Automotive Industry Buchkapitel
In: Kryvinska, N.; s, M. Greguv (Hrsg.): Data-Centric Business and Applications, Bd. 30, S. 409–431, Springer, 2020, ISBN: 978-3-030-19068-2, (Publisher Copyright: textcopyright Springer Nature Switzerland AG 2020.).
Abstract | Links | BibTeX | Schlagwörter:
@inbook{cbbda1d5cc2f47a9a80623cce20fd277,
title = {Assessment of eCall’s Effects on the Economy and Automotive Industry},
author = {Tomas Lego and Andreas Mladenow and Christine Strauss},
editor = {N. Kryvinska and M. Greguv s},
doi = {10.1007/978-3-030-19069-9_16},
isbn = {978-3-030-19068-2},
year = {2020},
date = {2020-01-01},
booktitle = {Data-Centric Business and Applications},
volume = {30},
pages = {409--431},
publisher = {Springer},
series = {Lecture Notes on Data Engineering and Communications Technologies},
abstract = {eCall is a Pan European automatic emergency call system for cars. All new types of vehicles used within the European Union must be equipped with hardware enabling the operation of eCall. Despite being targeted by many researchers and official authorities, there remain many questions regarding the effects of this technology. Building on the expected monetary and non-monetary benefits of eCall, as well as other projections about the system’s capabilities, in this study, we used the Delphi method to address unanswered issues and to examine the logic behind earlier projections of eCall’s effects on both the automotive industry and the economy. In addition to presenting our findings from three bilingual rounds of the Delphi method with 16 experts from the automotive industry, we also assess the public perception of this technology and its future development. Lastly, we present the opinions of experts regarding eCall’s potential to ensure annual monetary benefits of €20 billion, or more based on the prices of cars augmented by the implementation of eCall and its future link with autonomous cars.},
note = {Publisher Copyright: textcopyright Springer Nature Switzerland AG 2020.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
eCall is a Pan European automatic emergency call system for cars. All new types of vehicles used within the European Union must be equipped with hardware enabling the operation of eCall. Despite being targeted by many researchers and official authorities, there remain many questions regarding the effects of this technology. Building on the expected monetary and non-monetary benefits of eCall, as well as other projections about the system’s capabilities, in this study, we used the Delphi method to address unanswered issues and to examine the logic behind earlier projections of eCall’s effects on both the automotive industry and the economy. In addition to presenting our findings from three bilingual rounds of the Delphi method with 16 experts from the automotive industry, we also assess the public perception of this technology and its future development. Lastly, we present the opinions of experts regarding eCall’s potential to ensure annual monetary benefits of €20 billion, or more based on the prices of cars augmented by the implementation of eCall and its future link with autonomous cars.
Busse, Valerie; Strauss, Christine; Gregus, Michal
Cooperative Decision Making in Crowdfunding – Applying Theory of Behavior and Exemplary Empirical Validation Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization, and Engineering, S. 93–103, Springer International Publishing AG, 2020, ISBN: 978-3-030-60815-6, (17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 ; Conference date: 25-10-2020 Through 28-10-2020).
Abstract | Links | BibTeX | Schlagwörter: Behavior, Cooperation, Crowdfunding, Theory of reasoned action
@inproceedings{6db03d8fd57d4d8ba01bcb1d27a776ec,
title = {Cooperative Decision Making in Crowdfunding – Applying Theory of Behavior and Exemplary Empirical Validation},
author = {Valerie Busse and Christine Strauss and Michal Gregus},
editor = {Yuhua Luo},
doi = {10.1007/978-3-030-60816-3_11},
isbn = {978-3-030-60815-6},
year = {2020},
date = {2020-01-01},
booktitle = {Cooperative Design, Visualization, and Engineering},
pages = {93--103},
publisher = {Springer International Publishing AG},
series = {Lecture Notes in Computer Science},
abstract = {Cooperative issues gained attention with fast growing digitalization and social networks. Especially, research in advanced cooperative funding, i.e. crowdfunding, is rapidly increasing. Hence, this paper addresses behavioral issues in the highly complex decision-making processes from the viewpoint of various actors in crowdfunding. It provides a detailed overview of major behavioral models by focusing on (i) the theory or reasoned action, (ii) its application and (iii) its exemplary empirical validation. The empirical study examines the crowdfunding process by targeting 416 entrepreneurs and by analyzing their behavior towards Kickstarter.com and Indiegogo.com.},
note = {17th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2020 ; Conference date: 25-10-2020 Through 28-10-2020},
keywords = {Behavior, Cooperation, Crowdfunding, Theory of reasoned action},
pubstate = {published},
tppubtype = {inproceedings}
}
Cooperative issues gained attention with fast growing digitalization and social networks. Especially, research in advanced cooperative funding, i.e. crowdfunding, is rapidly increasing. Hence, this paper addresses behavioral issues in the highly complex decision-making processes from the viewpoint of various actors in crowdfunding. It provides a detailed overview of major behavioral models by focusing on (i) the theory or reasoned action, (ii) its application and (iii) its exemplary empirical validation. The empirical study examines the crowdfunding process by targeting 416 entrepreneurs and by analyzing their behavior towards Kickstarter.com and Indiegogo.com.
Reiting, Philip; Mladenow, Andreas; Strauss, Christine; Kotsis, Gabriele
Drivers and influencing factors in mobile payment acceptance Artikel
In: ACM International Conference Proceedings Series, Bd. F166737, S. 1–5, 2020, (Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 10th Euro-American Conference on Telematics and Information Systems, EATIS 2020 ; Conference date: 25-11-2020 Through 27-11-2020).
Abstract | Links | BibTeX | Schlagwörter: BANKING, CUSTOMER SATISFACTION, EXPLORING CONSUMER ADOPTION, INFORMATION-TECHNOLOGY, INTENTION, m-payment, mobile applications, mobile computing, mobile payment, PERSONAL INNOVATIVENESS, RETENTION, RISK, SERVICES, USER ACCEPTANCE
@article{4b7ddf21ec66495cb3d8a0030a65ebed,
title = {Drivers and influencing factors in mobile payment acceptance},
author = {Philip Reiting and Andreas Mladenow and Christine Strauss and Gabriele Kotsis},
doi = {10.1145/3401895.3402073},
year = {2020},
date = {2020-01-01},
journal = {ACM International Conference Proceedings Series},
volume = {F166737},
pages = {1--5},
publisher = {ACM},
abstract = {The development and diffusion of smartphones has paved the way for several trends, among them an alternative payment solution in the form of mobile payment. Mobile payment is part of the overarching concept of mobile transactions, and experiences varied acceptance and adoption. This paper analyzes drivers and factors determining consumers' acceptance and adoption of mobile payment. For this reason, we examine the contribution of the two basic approaches, i.e. the "technology acceptance model"and the "unified theory of acceptance and use of technology"in the context of mobile payment. Based on empirical evidence, we identified several factors, which were found to have impact on primary adoption; a compelling user experience turned out to be the main driver of long-term usage.},
note = {Publisher Copyright: textcopyright 2020 ACM. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 10th Euro-American Conference on Telematics and Information Systems, EATIS 2020 ; Conference date: 25-11-2020 Through 27-11-2020},
keywords = {BANKING, CUSTOMER SATISFACTION, EXPLORING CONSUMER ADOPTION, INFORMATION-TECHNOLOGY, INTENTION, m-payment, mobile applications, mobile computing, mobile payment, PERSONAL INNOVATIVENESS, RETENTION, RISK, SERVICES, USER ACCEPTANCE},
pubstate = {published},
tppubtype = {article}
}
The development and diffusion of smartphones has paved the way for several trends, among them an alternative payment solution in the form of mobile payment. Mobile payment is part of the overarching concept of mobile transactions, and experiences varied acceptance and adoption. This paper analyzes drivers and factors determining consumers' acceptance and adoption of mobile payment. For this reason, we examine the contribution of the two basic approaches, i.e. the "technology acceptance model"and the "unified theory of acceptance and use of technology"in the context of mobile payment. Based on empirical evidence, we identified several factors, which were found to have impact on primary adoption; a compelling user experience turned out to be the main driver of long-term usage.
Schweder, Verena; Mladenow, Andreas; Strauss, Christine
From risks to opportunities: Real estate equity crowdfunding Konferenzbeitrag
In: Hartmann, S.; Küng, J.; Kotsis, G.; Tjoa, A. M.; Khalil, I. (Hrsg.): Database and Expert Systems Applications. DEXA 2020, S. 444–454, Springer, 2020, ISBN: 978-3-030-59002-4, (31st International Conference on Database and Expert Systems Applications, DEXA 2020 ; Conference date: 14-09-2020 Through 17-09-2020).
Abstract | Links | BibTeX | Schlagwörter: Equity crowdfunding, Information systems, Real estate, Social web, SUCCESS FACTORS, User interface
@inproceedings{1c26804cc62c499ebd72d8fced77d664,
title = {From risks to opportunities: Real estate equity crowdfunding},
author = {Verena Schweder and Andreas Mladenow and Christine Strauss},
editor = {S. Hartmann and J. Küng and G. Kotsis and A. M. Tjoa and I. Khalil},
doi = {10.1007/978-3-030-59003-1_30},
isbn = {978-3-030-59002-4},
year = {2020},
date = {2020-01-01},
booktitle = {Database and Expert Systems Applications. DEXA 2020},
pages = {444--454},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {Real Estate Equity Crowdfunding (REECF) enables small investments on big real estate projects through the funding by an online crowd. As there is only limited research on this novel type of financial instrument for the real estate sector, this paper investigates risks and opportunities of REECF in order to establish and improve the understanding of REECF, in particular to identify potential risks and potential opportunities that come along with an engagement in such projects. Based on traditional offline risks of capital investments, three categories of both potential risks and opportunities have been identified: market risks and opportunities, execution risks and opportunities, and agency risks and opportunities. We adopt a holistic approach, as we identified, collected and consolidated existing risks and opportunities in REECF. As a result, we introduce an up-to-date framework on real estate equity crowdfunding.},
note = {31st International Conference on Database and Expert Systems Applications, DEXA 2020 ; Conference date: 14-09-2020 Through 17-09-2020},
keywords = {Equity crowdfunding, Information systems, Real estate, Social web, SUCCESS FACTORS, User interface},
pubstate = {published},
tppubtype = {inproceedings}
}
Real Estate Equity Crowdfunding (REECF) enables small investments on big real estate projects through the funding by an online crowd. As there is only limited research on this novel type of financial instrument for the real estate sector, this paper investigates risks and opportunities of REECF in order to establish and improve the understanding of REECF, in particular to identify potential risks and potential opportunities that come along with an engagement in such projects. Based on traditional offline risks of capital investments, three categories of both potential risks and opportunities have been identified: market risks and opportunities, execution risks and opportunities, and agency risks and opportunities. We adopt a holistic approach, as we identified, collected and consolidated existing risks and opportunities in REECF. As a result, we introduce an up-to-date framework on real estate equity crowdfunding.
Kholodylo, Marta; Strauss, Christine
Independent Game Developers and Their Expectations Towards Recommender Systems Artikel
In: Journal of Data Intelligence, Bd. 1, Nr. 3, S. 301–318, 2020, ISSN: 2577-610X.
Abstract | Links | BibTeX | Schlagwörter: Digital games, Electronic recommender systems, Independent game developers, Video games
@article{15540bfcab34437a81e18a6464f2b499,
title = {Independent Game Developers and Their Expectations Towards Recommender Systems},
author = {Marta Kholodylo and Christine Strauss},
doi = {10.26421/JDI1.3-1},
issn = {2577-610X},
year = {2020},
date = {2020-01-01},
journal = {Journal of Data Intelligence},
volume = {1},
number = {3},
pages = {301--318},
publisher = {RINTON PRESS, INC},
abstract = {Electronic recommender systems and digital distribution as such have transformed many industries. Digital games is one of those industries where the transformation is particularly evident, as more and more games are appearing on the market, and most of the titles are published by independent game developers. Due to electronic recommender systems developers can now self-publish their content without the mediation of third parties and additional costs for their services. This change has significantly decreased the costs of game production, distribution, and marketing, allowing more studios to engage in releasing their games on their own. However, it is unclear how the developers themselves perceive the effect of electronic recommender systems of their business models. This paper presents a qualitative study on the impact of electronic recommender systems in context of independent game development. Based on semi-structured expert interviews with active game developers who have been engaged in promoting their games through electronic recommender systems, our study provides insights on how independent game developers perceive those systems as part of their value chain and their business model. The results of the study concern to (i) independent game developers to establish, adapt, review, or improve their business model, and (ii) providers and developers of electronic recommender systems as indication of needs and requirements as well as expectations of their potential content creators.},
keywords = {Digital games, Electronic recommender systems, Independent game developers, Video games},
pubstate = {published},
tppubtype = {article}
}
Electronic recommender systems and digital distribution as such have transformed many industries. Digital games is one of those industries where the transformation is particularly evident, as more and more games are appearing on the market, and most of the titles are published by independent game developers. Due to electronic recommender systems developers can now self-publish their content without the mediation of third parties and additional costs for their services. This change has significantly decreased the costs of game production, distribution, and marketing, allowing more studios to engage in releasing their games on their own. However, it is unclear how the developers themselves perceive the effect of electronic recommender systems of their business models. This paper presents a qualitative study on the impact of electronic recommender systems in context of independent game development. Based on semi-structured expert interviews with active game developers who have been engaged in promoting their games through electronic recommender systems, our study provides insights on how independent game developers perceive those systems as part of their value chain and their business model. The results of the study concern to (i) independent game developers to establish, adapt, review, or improve their business model, and (ii) providers and developers of electronic recommender systems as indication of needs and requirements as well as expectations of their potential content creators.