Abstract
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 language | English |
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| Title of host publication | PACIS 2022 Proceedings |
| Number of pages | 17 |
| Place of Publication | Atlanta, GA |
| Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
| Publication date | 2022 |
| Article number | 217 |
| Publication status | Published - 2022 |
| Event | The 26th Pacific Asia Conference on Information Systems. PACIS 2022 - Virtual, WWW Duration: 5 Jul 2022 → 9 Jul 2022 Conference number: 26 https://pacis2022.aisconferences.org/ |
Conference
| Conference | The 26th Pacific Asia Conference on Information Systems. PACIS 2022 |
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| Number | 26 |
| Location | Virtual |
| Country/Territory | WWW |
| Period | 05/07/2022 → 09/07/2022 |
| Internet address |
Keywords
- Technology acceptance model
- Perceived privacy risks
- Gender
- Mobile urban sensing