IT-enabled sustainable development in electric scooter sharing platforms: focusing on the privacy concerns for traceable information

Lin Li, Kyung Young Lee, Younghoon Chang, Sung-Byung Yang and Philip Park

Information Technology for Development, 2021, vol. 27, issue 4, 736-759

Abstract: Electric scooter (e-scooter) sharing services have redefined the concept of urban transportation and development for cities around the world. These services, however, have raised concerns regarding information privacy in the wake of allegations that they are used by corporations and even government bodies to collect information. We introduce a new dimension of privacy concerns (i.e., privacy concerns for traceable information: PCTI) and utilize the antecedent-privacy concern-outcome (APCO) macro model to propose a research model for the relationships among privacy experiences and awareness, usage and geographical regularities, PCTI, and information privacy protective responses (IPPR). Our analysis suggests that privacy experiences and privacy awareness remain as salient antecedents and that geographical regularity should be included as a new antecedent for PCTI. This study contributes to the literature on information privacy in the sharing economy and provides implications for both stakeholders of e-scooter platforms and policymakers for urban transportation and IT-enabled development.

Date: 2021
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DOI: 10.1080/02681102.2021.1882366

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