IS Design, Development and Project Management
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Paper Number
2258
Paper Type
short
Description
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.
Recommended Citation
Zeiss, Roman; Hovestadt, Christian; and Chasin, Friedrich, "Ensembles of Human and Digital Sensors: Faithful Representations Through Hybrid Sensing Systems" (2021). ICIS 2021 Proceedings. 11.
https://aisel.aisnet.org/icis2021/is_design/is_design/11
Ensembles of Human and Digital Sensors: Faithful Representations Through Hybrid Sensing Systems
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.
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