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Cited by 389

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type

Wu, Kewen, Zhao, Yuxiang, Zhu, Qinghua, Tan, Xiaojie, Zheng, Hua·2011·International Journal of Information Management

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Crossref · 10.1016/j.ijinfomgt.2011.03.004

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Citations

Cites

Show all 16 references

Research works printed but not linked: 36

  1. Allen, 2003, Vertical trust/mistrust during information strategy formation, International Journal of Information Management, 23, 223, 10.1016/S0268-4012(03)00026-4 · DOI
  2. Bakker, 2006, Is trust really social capital? Knowledge sharing in product development projects, The Learning Organization: An International Journal, 13, 594, 10.1108/09696470610705479 · DOI · Paper page
  3. Bart, 2005, Are the drivers and role of online trust the same for all web sites and consumers? A large scale exploratory empirical study, Journal of Marketing, 69, 133, 10.1509/jmkg.2005.69.4.133 · DOI · Paper page
  4. Brown, 2002, Do I really have to? User acceptance of mandated technology, European Journal of Information Systems, 11, 283, 10.1057/palgrave.ejis.3000438 · DOI · Paper page
  5. Burnett, 1986, An appraisal of the use of student subjects in marketing research, Journal of Business Research, 14, 329, 10.1016/0148-2963(86)90024-X · DOI
  6. Cohen, 1988, Vol. 2
  7. Evil, 2003, On trust in the internet: Belief cues from domain suffixes and seals of approval, Human Factors and Ergonomics Society Annual Meeting Proceedings, 47, 1346, 10.1177/154193120304701106 · doi:10.1177/154193120304701106
  8. Gächter, 2004, Trust, voluntary cooperation, and socio-economic background: Survey and experimental evidence, Journal of Economic Behavior & Organization, 55, 505, 10.1016/j.jebo.2003.11.006 · DOI · Paper page
  9. Gefen, 2000, e-Commerce: The role of familiarity and trust, Omega, 28, 725, 10.1016/S0305-0483(00)00021-9 · DOI · Paper page
  10. Gefen, 2004, What makes an ERP implementation relationship worthwhile: Linking trust mechanisms and ERP usefulness, Journal of Management Information Systems, 21, 263, 10.1080/07421222.2004.11045792 · DOI · Paper page
  11. Gefen, 2000, The relative importance of perceived ease of use in is adoption: A study of e-commerce adoption, Journal of the Association for Information Systems, 1, 1, 10.17705/1jais.00008 · DOI · Paper page
  12. Gefen, 2003, Managing user trust in B2c e-services, e-Service Journal, 2, 7, 10.2979/esj.2003.2.2.7 · DOI · Paper page
  13. Glaeser, 2000, Measuring trust, The Quarterly Journal of Economics, 115, 811, 10.1162/003355300554926 · DOI · Paper page
  14. Hong, 2008, Understanding the behavior of mobile data services consumers, Information Systems Frontiers, 10, 431, 10.1007/s10796-008-9096-1 · DOI · Paper page
  15. Hsu, 2008, Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation, Information & Management, 45, 65, 10.1016/j.im.2007.11.001 · DOI · Paper page
  16. Igbaria, 1995, The effects of self-efficacy on computer usage, Omega, 23, 587, 10.1016/0305-0483(95)00035-6 · DOI · Paper page
  17. Igbaria, 1995, Why do individuals use computer technology?, A Finnish Case Study Information & Management, 29, 227
  18. King, 2006, A meta-analysis of the technology acceptance model, Information & Management, 43, 740, 10.1016/j.im.2006.05.003 · DOI · Paper page
  19. Kraiger, 1985, On learning from the past: A meta-analytic fable, Personnel Psychology, 38, 799, 10.1111/j.1744-6570.1985.tb00566.x · DOI
  20. Lean, 2009, Factors influencing intention to use e-government services among citizens in Malaysia, International Journal of Information Management, 29, 458, 10.1016/j.ijinfomgt.2009.03.012 · DOI · Paper page
  21. Levitt, 2007, What do laboratory experiments measuring social preferences reveal about the real world?, Journal of Economic Perspectives, 21, 153, 10.1257/jep.21.2.153 · DOI · Paper page
  22. Liao, 2006, The roles of habit and web site quality in e-commerce, International Journal of Information Management, 26, 469, 10.1016/j.ijinfomgt.2006.09.001 · DOI · Paper page
  23. Lin, 2000, Towards an understanding of the behavioural intention to use a web site, International Journal of Information Management, 20, 197, 10.1016/S0268-4012(00)00005-0 · DOI · Paper page
  24. McKnight, 1998, Initial trust formation in new organizational relationships, The Academy of Management Review, 23, 473, 10.2307/259290 · DOI · Paper page
  25. Nakagawa, 2007, Effect size confidence interval and statistical significance: A practical guide for biologists, Biological Reviews, 82, 591, 10.1111/j.1469-185X.2007.00027.x · DOI · Paper page
  26. Nysveen, 2005, Intentions to use mobile services: Antecedents and cross-service comparisons, Journal of the Academy of Marketing Science, 33, 330, 10.1177/0092070305276149 · DOI · Paper page
  27. Schepers, 2007, A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects, Information & Management, 44, 90, 10.1016/j.im.2006.10.007 · DOI · Paper page
  28. Suh, 2002, Effect of trust on customer acceptance of internet banking, Electronic Commerce Research and Applications, 1, 247, 10.1016/S1567-4223(02)00017-0 · DOI · Paper page
  29. Tan, 2001, Toward a generic model of trust for electronic commerce, International Journal of Electronic Commerce, 5, 61
  30. Venkatesh, 2000, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46, 186, 10.1287/mnsc.46.2.186.11926 · DOI · Paper page
  31. Wachter, 2000, It takes a village: Virtual communities in support of education, International Journal of Information Management, 20, 473, 10.1016/S0268-4012(00)00039-6 · DOI
  32. Wu, 2005, An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study, International Journal of Human–Computer Studies, 62, 784, 10.1016/j.ijhcs.2005.03.003 · DOI · Paper page
  33. Wu, 2009, A meta-analysis of the role of environment-based voluntariness in information technology acceptance, MIS Quarterly, 33, 419, 10.2307/20650298 · DOI · Paper page
  34. Wu, 2007, The effects of trust and enjoyment on intention to play online games, Journal of Electronic Commerce Research, 8, 128
  35. Yoo, 2001, Developing a scale to measure the perceived quality of an internet shopping site (sitequal), Quarterly Journal of Electronic Commerce, 2, 31
  36. Yousafzai, 2007, Technology acceptance: A meta-analysis of the TAM: Part 1, Journal of Modelling in Management, 2, 251, 10.1108/17465660710834453 · DOI · Paper page

Cited by

Metadata

Authors
Wu, K., Zhao, Y., Zhu, Q., Tan, X., & Zheng, H.
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2011-12
Volume
31
Issue
6
Pages
572-581
ISSN
0268-4012 (ISSN-L)
OpenAlex
W2069610731
Cited by
389
References
16
FWCI
6.76
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.