Publications
2017
Ernst, Christoph; Mladenow, Andreas; Strauss, Christine
Collaboration and crowdsourcing in emergency management Artikel
In: International Journal of Pervasive Computing and Communications, Bd. 13, Nr. 2, S. 176–193, 2017, ISSN: 1742-7371, (DOI: 10.1108/IJPCC-03-2017-0026).
Abstract | Links | BibTeX | Schlagwörter: Collaboration, crowdsourcing, Disaster response, Emergency management, GEOGRAPHIC INFORMATION, Social network, Weak ties
@article{55a9ffd8471c43f09c07db4c0de43046,
title = {Collaboration and crowdsourcing in emergency management},
author = {Christoph Ernst and Andreas Mladenow and Christine Strauss},
doi = {10.1108/IJPCC-03-2017-0026},
issn = {1742-7371},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Pervasive Computing and Communications},
volume = {13},
number = {2},
pages = {176--193},
abstract = {PurposeEmergency managers face coordinative challenges that require a high degree of mobility, flexibility and the ability to interpret heterogeneous, location-dependent information of various sources and quality. Recent information and communication technology-driven developments like crowdsourcing or social networks have opened up new organizational possibilities for emergency managers. To make quick but solid decisions, and improve the coordination of activities performed by crowdsourcees during disaster response, the authors suggest the use of collaborative features from crowdsourcing and inherent availability of resources from social network effects. In this paper, the idea of considering collaboration and crowdsourcing as drivers for flexibility in the design of business processes in the context of emergency management is prepared, the meaning of location-dependent tasks for volunteers is investigated, and the added value of social network effects is substantiated.Design/methodology/approachThis paper is part of an ongoing research project in the field of crowdsourcing. It represents conceptual work that builds on relevant literature.FindingsIn terms of emergency management, the paper sheds light on what emergency managers may consider when coordinating activities performed by volunteers and how they may benefit from social network effects. Furthermore, it is shown how they can exploit information using collaboration-based and tournament-like crowdsourcing, how they can benefit from invoking additional resources using weak ties from social networks, and how visualization of information may support decision-making.Practical implicationsExemplary applications to exploit crowdsourcing and social network effects to support improvisation and to respond flexibly in disaster response are given.Originality/valueThis paper suggests novel collaborative approaches to support emergency managers in their decision-making. Based on social network analysis, the value of weak ties is elaborated, and based on a taxonomy from crowdsourcing, distinct collaborative alternatives are developed and proposed for application in emergency management.},
note = {DOI: 10.1108/IJPCC-03-2017-0026},
keywords = {Collaboration, crowdsourcing, Disaster response, Emergency management, GEOGRAPHIC INFORMATION, Social network, Weak ties},
pubstate = {published},
tppubtype = {article}
}
2016
Ernst, Christoph; Mladenow, Andreas; Strauss, Christine
Location-based Crowdsourcing in Disaster Response Konferenzbeitrag
In: Abdulrazak, Bessam; Pardede, Eric; Steinbauer, Matthias; Khalil, Ismail; Anderst-Kotsis, Gabriele (Hrsg.): 14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 - Proceedings, S. 28–34, Association for Computing Machinery (ACM), 2016, ISBN: 978-1-4503-4806-5, (14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 ; Conference date: 28-11-2016 Through 30-11-2016).
Abstract | Links | BibTeX | Schlagwörter: crowdsourcing, Disaster response, Emergency management, Location-based services, mobile applications, Mobile interaction, Social crowd
@inproceedings{63bc89138ea14893b063e2a631f1d06a,
title = {Location-based Crowdsourcing in Disaster Response},
author = {Christoph Ernst and Andreas Mladenow and Christine Strauss},
editor = {Bessam Abdulrazak and Eric Pardede and Matthias Steinbauer and Ismail Khalil and Gabriele Anderst-Kotsis},
doi = {10.1145/3007120.3011076},
isbn = {978-1-4503-4806-5},
year = {2016},
date = {2016-11-28},
booktitle = {14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 - Proceedings},
volume = {Part F126323},
pages = {28--34},
publisher = {Association for Computing Machinery (ACM)},
abstract = {This paper discusses approaches to identify location-dependent information for emergency managers, in order to make quick but solid decisions, and improve the coordination of activities performed by crowdsourcees during disaster response. In this regard, the idea of considering location as a driver for flexibility in the design of business processes is prepared, and the meaning of location-dependent tasks for volunteers is investigated. In terms of emergency management, the paper sheds light on what may have to be considered by emergency managers when coordinating activities performed by volunteers, followed by an illustration of how they can be aware of location-based information using crowdsourcing, as well as how visualization of this information can support decision-making.},
note = {14th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2016 ; Conference date: 28-11-2016 Through 30-11-2016},
keywords = {crowdsourcing, Disaster response, Emergency management, Location-based services, mobile applications, Mobile interaction, Social crowd},
pubstate = {published},
tppubtype = {inproceedings}
}