TY - GEN
T1 - Linking privacy concerns for traceable information and information privacy protective responses on electric scooter sharing platforms
AU - Li, Lin
AU - Lee, Kyung Young
AU - Chang, Younghoon
AU - Yang, Sung Byung
N1 - Funding Information:
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2017S1A5B8059804).
Publisher Copyright:
© 2020 IEEE Computer Society. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Electric scooter (e-scooter) sharing platforms have taken over multiple cities across the globe. Yet, behind the craze, information privacy issue has been added to the list of concerns in this revolution of e-scooter sharing, as major companies and even governments' regulatory bodies are alleged to collect and use traceable information generated by users' routes without proper notice. We therefore attempt to conceptualize a new dimension of privacy concern (i.e., privacy concerns for traceable information: PCTI) in the context of e-scooter sharing platforms. In an attempt to understand users' rising actions in protecting their privacy, we further examine the relationships among some antecedents, PCTI, and information privacy protective responses, drawing on the APCO macro model. Our research findings are expected to contribute to the body of knowledge on information privacy in the sharing economy context, and provide some practical implications to both users and industry members of e-scooter sharing services.
AB - Electric scooter (e-scooter) sharing platforms have taken over multiple cities across the globe. Yet, behind the craze, information privacy issue has been added to the list of concerns in this revolution of e-scooter sharing, as major companies and even governments' regulatory bodies are alleged to collect and use traceable information generated by users' routes without proper notice. We therefore attempt to conceptualize a new dimension of privacy concern (i.e., privacy concerns for traceable information: PCTI) in the context of e-scooter sharing platforms. In an attempt to understand users' rising actions in protecting their privacy, we further examine the relationships among some antecedents, PCTI, and information privacy protective responses, drawing on the APCO macro model. Our research findings are expected to contribute to the body of knowledge on information privacy in the sharing economy context, and provide some practical implications to both users and industry members of e-scooter sharing services.
UR - http://www.scopus.com/inward/record.url?scp=85108158179&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85108158179
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 851
EP - 857
BT - Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020
Y2 - 7 January 2020 through 10 January 2020
ER -