Zeiss, Roman ORCID: 0000-0002-1366-3095, Hovestadt, Christian ORCID: 0000-0002-6448-4660 and Chasin, Friedrich (2021). Ensembles of Human and Digital Sensors: Faithful Representations Through Hybrid Sensing Systems. In: Proceedings of the 42nd International Conference on Information Systems (ICIS), Austin, TX, USA: Association for Information Systems.

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Abstract

ICIS 2021, Dec. 12-15, Austin, Texas. Digital sensors capture a growing range of real-world phenomena with increasing robustness and precision. However, we observe that the overreliance on digital sensors comes with technical and economic feasibility constraints limiting which aspects of real-world phenomena information systems can represent. Using representation theory as a theoretical lens, we argue that real-world phenomena can be represented more faithfully in IS if digital sensors are complemented by human sensors working in concert as a hybrid sensing system. We use a mixed-method research approach to study the design, operation, and impact of hybrid sensing systems at a German bike sharing provider that relies on such a system to monitor the location and availability of its fleet. Through this research, we aim to bring the origin of data into focus of information systems design and present a sociotechnical solution to the fundamental problem of limited observability of user misbehavior in sharing economy business models.

Item Type: Book Section, Proceedings Item or annotation in a legal commentary
Creators:
CreatorsEmailORCIDORCID Put Code
Zeiss, Romanzeiss@wiso.uni-koeln.deorcid.org/0000-0002-1366-3095UNSPECIFIED
Hovestadt, Christianhovestadt@wiso.uni-koeln.deorcid.org/0000-0002-6448-4660UNSPECIFIED
Chasin, Friedrichfchasin@uni-koeln.deUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-650863
Title of Book: Proceedings of the 42nd International Conference on Information Systems (ICIS)
Date: December 2021
Publisher: Association for Information Systems
Place of Publication: Austin, TX, USA
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Chair for Information Systems and Systems Development
Subjects: Data processing Computer science
Social sciences
Technology (Applied sciences)
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/65086

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