The DOI matches its Crossref record; 206 of the 206 references it cites were found in a registry or an index.
Are There Neural Gender Differences in Online Trust? An fMRI Study on the Perceived Trustworthiness of eBay Offers1
Abstract
Research provides increasing evidence that women and men differ in their decisions to trust. However, information systems research does not satisfactorily explain why these gender differences exist. One possible reason is that, surprisingly, theoretical concepts often do not address the most obvious factor that influences human behavior: biology. Given the essential role of biological factors—and specifically those of the brain—in decisions to trust, the biological influences should naturally include those related to gender. As trust considerations in economic decision making have become increasingly complex with the expansion of Internet use, understanding the related biological/brain functions and the involvement of gender provides a range of valuable insights. To show empirically that online trust is associated with activity changes in certain brain areas, we used functional magnetic resonance imaging (fMRI). In a laboratory experiment, we captured the brain activity of 10 female and 10 male participants simultaneous to decisions on trustworthiness of eBay offers. We found that most of the brain areas that encode trustworthiness differ between women and men. Moreover, we found that women activated more brain areas than did men. These results confirm the empathizing– systemizing theory, which predicts gender differences in neural information processing modes. In demonstrating that perceived trustworthiness of Internet offers is affected by neurobiology, our study has major implications for both IS research and management. We confirm the value of a category of research heretofore neglected in IS research and practice, and argue that future IS research investigating human behavior should consider the role of biological factors. In practice, biological factors are a significant consideration for management, marketing, and engineering attempts to influence behavior.
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Cited by
Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust
Hoff, K. A., & Bashir, M. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814547570 · Cited by 2,817
Revisiting gender differences: what we know and what lies ahead.
Meyers‐Levy, J., & Loken, B. (2015) · Journal of Consumer Psychology · doi:10.1016/j.jcps.2014.06.003 · Cited by 614
Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research
Sbaffi, L., & Rowley, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7579 · Cited by 537
A meta-analysis of online trust relationships in e-commerce.
Kim, Y., & Peterson, R. A. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.01.001 · Cited by 541
Yen, C., & Chiang, M.-C. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1743362 · Cited by 297
Metadata
- Authors
- Riedl, R., Hubert, M., & Kenning, P.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2010-06-01
- Volume
- 34
- Issue
- 2
- Pages
- 397-428
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1540163242
- Cited by
- 354
- References
- 206
- FWCI
- 11.77
- Type
- journal article
- Language
- en
- Open access
- closed
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