Publications
2014
Bauer, Christine; Mladenow, Andreas; Strauss, Christine
Fostering collaboration by location-based crowdsourcing Konferenzbeitrag
In: Luo, Yuhua (Hrsg.): Cooperative Design, Visualization and Engineering, S. 88–95, Springer International Publishing AG, 2014, ISBN: 978-3-319-10830-8.
Abstract | Links | BibTeX | Schlagwörter: BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology
@inproceedings{ab86b6ecf19e41fea8da7dce9e97fd19,
title = {Fostering collaboration by location-based crowdsourcing},
author = {Christine Bauer and Andreas Mladenow and Christine Strauss},
editor = {Yuhua Luo},
doi = {10.1007/978-3-319-10831-5_13},
isbn = {978-3-319-10830-8},
year = {2014},
date = {2014-01-01},
booktitle = {Cooperative Design, Visualization and Engineering},
volume = {Cham},
pages = {88--95},
publisher = {Springer International Publishing AG},
series = {Lecture Notes in Computer Science},
abstract = {Crowdsourcing is a recently developed method that relies on variousalternatives of collaboration to solve problems efficiently. Crowdsourcing is arecent development to solve a variety of problems efficiently, and whichimplies various alternatives of collaboration. However, as novel technologiesare able to exploit location-sensing capabilities of mobile devices, locationbasedcrowdsourcing (LBCS) developed as a new concept. This paper suggestsa typology for LBCS as a means for fostering collaboration with the crowdthrough three types of LBCS: confirmation-based, digital good-based, andphysical-based. Each type is underpinned with exemplary applications.Furthermore, opportunities and challenges are analysed; and future trends inLBCS are discussed.},
keywords = {BWL, CMI, Collaboration, Collaborative Crowdsourcing, LBCS, Location-based Crowdsourcing, Location-dependency, Mobile crowdsourcing applications, Social communities, Time-dependency, Typology},
pubstate = {published},
tppubtype = {inproceedings}
}
Mladenow, Andreas; Bauer, Christine; Strauss, Christine
In: Global Journal of Flexible Systems Management, Bd. 15, Nr. 1, S. 77–86, 2014, ISSN: 0972-2696.
Abstract | Links | BibTeX | Schlagwörter: BWL, CMI, Co-creation, Collaboration, crowdsourcing, INNOVATION, New product development, Online community, Open innovation, Social communities, Social CRM, Social crowd
@article{8cf6e5f8c52d4b0b9b49bb23865edca6,
title = {Social Crowd Integration in New Product Development: Crowdsourcing Communities Nourish the Open Innovation Paradigm},
author = {Andreas Mladenow and Christine Bauer and Christine Strauss},
doi = {10.1007/s40171-013-0053-6},
issn = {0972-2696},
year = {2014},
date = {2014-01-01},
journal = {Global Journal of Flexible Systems Management},
volume = {15},
number = {1},
pages = {77--86},
abstract = {The core of the open innovation paradigm is based on the principle of collecting ideas from external sources into the organization, and bringing those adapted,transformed and enriched ideas to the market. However, under the constant pressure of being innovative, companies have to try harder to tap their customers’ knowledge and abilities. Crowdsourcing communities provide an arena for a vast amount of consumers to actively participate in innovation processes. However, as this kind of external participation in innovation processes is still in its infancy, organizations need guidance and analytic support to reveal the potential of the open innovation paradigm. Therefore,this paper analyses new product development using social crowd integration concepts and—as a result—points to further promising directions and subtopics to perform future research in this area.},
keywords = {BWL, CMI, Co-creation, Collaboration, crowdsourcing, INNOVATION, New product development, Online community, Open innovation, Social communities, Social CRM, Social crowd},
pubstate = {published},
tppubtype = {article}
}