The DOI matches its Crossref record; 84 of the 89 references it cites were found in a registry or an index.
Why different trust relationships matter for information systems users
Open accessAbstract
Technology acceptance research has shown that trust is an important factor fostering use of information systems (IS). As a result, numerous IS researchers have studied factors that build trust in I...
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“As a result of the plurality of perspectives on this concept, there is no commonly accepted definition of trust (Lansing and Sunyaev 2016;Söllner et al. 2016) but rather a need for contextualized trust conceptualizations (Jarvenpaa et al. 2004).”
From Trustworthy artificial intelligence (2021) · cites this paper as Söllner et al. 2016
Citations
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785
Handbook of Industrial and Organizational Psychology.
Hammer, T. H., Anderson, J. F., Gurdon, M. A., Jick, T. D., Petit, A., Stern, R. N., Schwartz, H., Vardi, Y., & Dunnette, M. D. (1977) · Administrative Science Quarterly · doi:10.2307/2391755 · Cited by 11,947
Research in Organizational Behavior.
Grimes, A. J., Cummings, L. L., & Staw, B. M. (1986) · Administrative Science Quarterly · doi:10.2307/2392975 · Cited by 11,303
An integrative model of organizational trust
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995) · The Academy of Management Review · doi:10.2307/258792 · Cited by 10,736
Information Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Not So Different After All: A Cross-Discipline View Of Trust
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998) · Academy of Management Review · doi:10.5465/amr.1998.926617 · Cited by 10,274
Flagged first, then by citations
5 of the 89 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- 10.2307/4132332 · DOI · Paper page
- Gordon ME, 1986, The Academy of Management Review, 11, 191
- 10.1518/hfes.46.1.50.30392 · DOI · Paper page
- 10.1093/sf/63.4.967 · DOI · Paper page
- Mayer RC, 1995, Academy of Management Review, 20, 709, 10.5465/amr.1995.9508080335 · DOI · Paper page
- McKnight DH, 2011, ACM Transaction on Management Information Systems, 12, 12
Cited by
Sorted by citations
Trust in AI and Its Role in the Acceptance of AI Technologies
Choung, H., David, P., & Ross, A. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2050543 · Cited by 963
“As trust is considered to be another significant predictor for the adoption of new technologies (Söllner et al., 2016), previous studies have investigated the connections between”
BackgroundInfluentialHawlitschek, F., Notheisen, B., & Teubner, T. (2018) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2018.03.005 · Cited by 768
Trustworthy artificial intelligence
Thiebes, S., Lins, S., & Sunyaev, A. (2021) · Electronic Markets · doi:10.1007/s12525-020-00441-4 · Cited by 595
Modelling and testing consumer trust dimensions in e-commerce.
Oliveira, T., Alhinho, M., Rita, P., & Dhillon, G. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.050 · Cited by 464
Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective
Dhagarra, D., Goswami, M., & Kumar, G. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104164 · Cited by 517
Metadata
- Authors
- Söllner, M., Hoffmann, A., & Leimeister, J. M.
- Affiliations
- University of Kassel (DE)
- Corresponding author
- Söllner, Matthias
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2016-05
- Volume
- 25
- Issue
- 3
- Pages
- 274-287
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2257140431
- Cited by
- 223
- References
- 89
- Citations by year
- 2026: 44 · 2025: 36 · 2024: 27 · 2023: 21 · 2022: 24 · 2021: 19 · 2020: 28 · 2019: 10 · 2018: 4 · 2017: 6 · 2016: 4
- FWCI
- 9.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Information Systems (publishedVersion, cc-by)
- Alexandria (UniSG) (University of St.Gallen) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
- Kobra (Universitätsbibliothek Kassel) (cc-by)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Keywords
- trust relationships, information system users, technology acceptance, trust in information systems, user trust
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