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Exploring the Motives of Citizen Reporting Engagement: Self-Concern and Other-Orientation

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  • Gabriel Abu-Tayeh

    (University of Bern)

  • Oliver Neumann

    (University of Bern)

  • Matthias Stuermer

    (University of Bern)

Abstract

In smart city contexts, voluntary citizen reporting can be a particularly valuable source of information for local authorities. A key question in this regard is what motivates citizens to contribute their data. Drawing on motivation research in social psychology, the paper examines the question of whether self-concern or other-orientation is a stronger driver of citizen reporting engagement. To test their hypotheses, the authors rely on a sample of users from the mobile application “Zurich as good as new” in Switzerland, which enables citizens to report damages in and other issues with the city’s infrastructure. Data was collected from two different sources: motivation was assessed in an online user survey (n = 650), whereas citizen reporting engagement was measured by the number of reports per user from real platform-use data. The analysis was carried out using negative binomial regression. The findings suggest that both self-concern and other-orientation are significant drivers of citizen reporting engagement, although the effect of self-concern appears to be stronger in comparison. As such, this study contributes to a better understanding of what motivates citizens to participate in citizen reporting platforms, which are a cornerstone application in many smart cities.

Suggested Citation

  • Gabriel Abu-Tayeh & Oliver Neumann & Matthias Stuermer, 2018. "Exploring the Motives of Citizen Reporting Engagement: Self-Concern and Other-Orientation," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(3), pages 215-226, June.
    • Handle: RePEc:spr:binfse:v:60:y:2018:i:3:d:10.1007_s12599-018-0530-8
    DOI: 10.1007/s12599-018-0530-8
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    Cited by:

    1. Christof Weinhardt & Simon Kloker & Oliver Hinz & Wil M. P. Aalst, 2020. "Citizen Science in Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 273-277, August.
    2. Andy Hong & Byoungjun Kim & Michael Widener, 2020. "Noise and the city: Leveraging crowdsourced big data to examine the spatio-temporal relationship between urban development and noise annoyance," Environment and Planning B, , vol. 47(7), pages 1201-1218, September.

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