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“This Could Be The Day I Die”: Unpacking Interpersonal and Systems Trust in a Local Sharing Economy Community

Fedosov, Anton; Zavolokina, Liudmila; Krumhard, Sina; Huang, Elaine May (2023). “This Could Be The Day I Die”: Unpacking Interpersonal and Systems Trust in a Local Sharing Economy Community. In: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany, 23 April 2023 - 28 April 2023. ACM, 1-7.

Abstract

The rapid development of the “sharing economy” enables the effective and efficient coordination, acquisition, distribution, and sharing of many kinds of different resources. Beyond the well-known sharing economy services such as Airbnb and Uber, an increasing number of local sharing initiatives have established online platforms and services to facilitate access to the shared resources within their local communities. With the automation and complexity of digital tools and platforms, and the specific challenges of online sharing communities, users’ trust and reliance become increasingly critical for successful use and adoption. In our qualitative study in collaboration with two industry partners (a local sharing community and a large infrastructure provider in Switzerland), we unpack various perspectives of interpersonal trust in the community and the systems trust of the supporting technologies. On this basis, we elicited a set of design opportunities for future platforms in the context of sharing economy.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
08 Research Priority Programs > Digital Society Initiative
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:28 April 2023
Deposited On:08 May 2023 11:49
Last Modified:20 Jun 2024 09:32
Publisher:ACM
ISBN:9781450394222
OA Status:Closed
Free access at:Official URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1145/3544549.3585744
Official URL:https://dl.acm.org/doi/fullHtml/10.1145/3544549.3585744
Other Identification Number:merlin-id:23633
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