Gender and Perceived Privacy Risks in Technology Acceptance: Insights from a Mobile Urban Sensing Survey

Jennifer Kendziorra, Till J. Winkler

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Gender has increasingly been considered as moderating variable in studies of technology acceptance, while the results have been inconsistent. We seek to contribute a piece to this puzzle by testing in the context of an urban sensing app a technology acceptance model that includes perceived privacy risks as an antecedent and gender as a moderator. Based on survey data from 210 participants (100 men and 110 women) and using partial least squares multigroup analysis techniques, we find that the strongest determinant of usage intentions is perceived ease of use for men and perceived usefulness for women. In addition, perceived privacy risks are a barrier only for women, while perceived privacy risks also strengthen the influence of ease of use on usage intentions for women. We argue that these results are due to the context of the urban sensing technology and its specific purpose, and derive implications for research and practice.
Original languageEnglish
Title of host publicationPACIS 2022 Proceedings
Number of pages17
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2022
Article number217
Publication statusPublished - 2022
EventThe 26th Pacific Asia Conference on Information Systems. PACIS 2022 - Virtual, WWW
Duration: 5 Jul 20229 Jul 2022
Conference number: 26


ConferenceThe 26th Pacific Asia Conference on Information Systems. PACIS 2022
Internet address


  • Technology acceptance model
  • Perceived privacy risks
  • Gender
  • Mobile urban sensing

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