The DOI matches its Crossref record; 58 of the 60 references it cites were found in a registry or an index.
Technology Adaptation in E-commerce:
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“Since these theories are portrayed as notably comparable, the T-O-E system has not been adjusted because of DOI [37].”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [37]
In the citing paper
“According to [37], the T-O-E framework lack change for different reasons from original development.”
From A Review on TAM and TOE Framework Progression and How These Models Integrate (2021) · cites this paper as [37]
Citations
Cites
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
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334
Firm resources and sustained competitive advantage
Barney, J. B. (2004) · Advances in strategic management · doi:10.1016/s0742-3322(00)17018-4 · Cited by 38,216
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
(1980) · Medical Entomology and Zoology · Cited by 25,810
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
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2074955 · Cited by 14,211
Measuring Service Quality: A Reexamination and Extension
Cronin, J. J., & Taylor, S. A. (1992) · Journal of Marketing · doi:10.1177/002224299205600304 · Cited by 11,433
Power analysis and determination of sample size for covariance structure modeling.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.2.130 · Cited by 10,418
Research works printed but not linked: 14
- Chiger, 1997, List shopping, online, Catalog Age, 14, 95
- Cole, P.E., Cole, W., Dowell, W., Pascual, A.M. and Jackson, D.S. (1998) Virtual shopping: is it better than the real thing? Time, pp. 36–39.
- Dillard, S.J. (1992) PC users intentions to adopt online shopping (computer services, videotex shopping). Doctoral dissertation, The Florida State University.
- Greene, 1997, Whos zoomin who on the web?, Black Enterprise, 28, 40
- Kneider, 1979, Physical planning for the retail store, RIA Cost & Management, 53, 42
- Koloszyc, 1999, Electronic merchants strengthen security policies against network intrusions, Stores, 81, 60
- Machlis, 1999, Online shoppers want on-time delivery, Computerworld, 33, 43
- Nielsen, J. (1998) Seven deadly sins for web design. Technology Review, Sept–Oct. Available at http://www.techreview.com/articles/oct98/nielsen-sidebar.htm.
- Orenstein, 1999, Human touch crucial to internet retailers success, Computerworld, 33, 8
- Ridgon, J.E. (1995) Blaming retailers for webs slow start as a mall. Wall Street Journal, pp. B1, B6.
- Scansaroli, 1997, Interactive retailing: marketing products, Chain Store Age, 73, 9A
- Stahl, 1987, Testing for usability can head off disaster, Computerworld, 21, 83
- Woodside, 1992, Finding out why consumers shop your store and buy your brand: automatic cognitive processing models of primary choice, Journal of Advertising Research, 32, 59, 10.1080/00218499.1992.12466863 · DOI
- Yorgey, 2000, Reaching the world by web, Target Marketing, 23, 42
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Su, C.-H. (2018) · Sustainability · doi:10.3390/su10103363 · Cited by 37
Metadata
- Authors
- Chen, L.-D., & Tan, J.
- Affiliations
- Creighton University (US)
- ORCID
- Tan, Justin
- Venue
- European Management Journal
- Publisher
- Elsevier BV
- Published
- 2004-02
- Volume
- 22
- Issue
- 1
- Pages
- 74-86
- ISSN
- 0263-2373 (ISSN-L)
- OpenAlex
- W3124698642
- Cited by
- 306
- References
- 60
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 17 · 2023: 23 · 2022: 14 · 2021: 21 · 2020: 12 · 2019: 15 · 2018: 17 · 2017: 8 · 2016: 14 · 2015: 17 · 2014: 17 · 2013: 18 · 2012: 25
- FWCI
- 18.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Management Journal (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- e-commerce, virtual stores, technology acceptance, diffusion of innovations, e-commerce strategy, perceived trust, perceived service quality, information richness, product offerings
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