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Cited by 442

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

User acceptance of wireless short messaging services: Deconstructing perceived value

Turel, Ofir, Serenko, Alexander, Bontis, Nick·2007·Information & Management

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Citations

Cites

Show all 11 references

Research works printed but not linked: 28

  1. Bagozzi, 1985, Expectancy-value attitude models: an analysis of critical theoretical issues, International Journal of Research Marketing, 2, 43, 10.1016/0167-8116(85)90021-7 · DOI
  2. Baker, 2002, The influence of multiple store environment cues on perceived merchandise value and patronage intentions, Journal of Marketing, 66, 120, 10.1509/jmkg.66.2.120.18470 · DOI · Paper page
  3. Bolton, 1991, A multistage model of consumers’ assessments of service quality and value, Journal of Consumer Research, 17, 375, 10.1086/208564 · DOI · Paper page
  4. Chin, 1998, Issues Opinion on Structural Equation Modeling, MIS Quarterly, 22, vii
  5. Dodds, 1991, Effects of price, brand and store information on buyers’ product evaluation, Journal of Marketing Research, 28, 307, 10.2307/3172866 · DOI · Paper page
  6. Eggert, 2002, Customer perceived value: a substitute for satisfaction business markets?, The Journal of Business & Industrial Marketing, 17, 107, 10.1108/08858620210419754 · DOI · Paper page
  7. Fornell, 1996, The American Customer Satisfaction Index: nature, purpose, and findings, Journal of Marketing, 60, 7, 10.2307/1251898 · doi:10.2307/1251898 · Paper page
  8. Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 39, 10.2307/3151312 · DOI · Paper page
  9. Hackbarth, 2003, Computer playfulness and anxiety: positive and negative mediators of the system experience effect on perceived ease of use, Information & Management, 40, 221, 10.1016/S0378-7206(02)00006-X · DOI · Paper page
  10. Halbrook, 1982, The experiential aspects of consumption: consumption fantasies, feelings and fun, Journal of Consumer Research, 9, 132, 10.1086/208906 · DOI · Paper page
  11. Kettinger, 2005, Zones of tolerance: alternative scales for measuring information systems service quality, MIS Quarterly, 29, 607, 10.2307/25148702 · DOI · Paper page
  12. King, 2006, A meta-analysis of the technology acceptance model, Information and Management, 43, 740, 10.1016/j.im.2006.05.003 · DOI · Paper page
  13. Lapierre, 2000, Customer perceived value in industrial contexts, Journal of Business & Industrial Marketing, 15, 122, 10.1108/08858620010316831 · DOI · Paper page
  14. Legris, 2003, Why do people use information technology? A critical review of the technology acceptance model, Information & Management, 40, 191, 10.1016/S0378-7206(01)00143-4 · DOI · Paper page
  15. Li, 2005, Understanding individual adoption of instant messaging: an empirical investigation, Journal of the Association for Information Systems, 6, 102, 10.17705/1jais.00066 · DOI · Paper page
  16. Lin, 2005, Past progress and future directions in conceptualizing customer perceived value, International Journal of Service Industry Management, 16, 318, 10.1108/09564230510613988 · DOI · Paper page
  17. Mathwick, 2001, Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment, Journal of Retailing, 77, 39, 10.1016/S0022-4359(00)00045-2 · DOI · Paper page
  18. Okazaki, 2006, What do we know about mobile Internet adopters? A cluster analysis, Information & Management, 43, 127, 10.1016/j.im.2005.05.001 · DOI · Paper page
  19. Petrick, 2002, Development of a multi-dimensional scale for measuring the perceived value of a service, Journal of Leisure Research, 34, 119, 10.1080/00222216.2002.11949965 · DOI · Paper page
  20. Schewe, 1978, Marketing information system utilization: an application of self-concept theory, Journal of Business Research, 6, 67, 10.1016/0148-2963(78)90020-6 · DOI
  21. Sweeney, 2001, Consumer perceived value: the development of a multiple item scale, Journal of Retailing, 77, 203, 10.1016/S0022-4359(01)00041-0 · DOI · Paper page
  22. Thomas, 2005, Partial least squares: a critical review and a potential alternative
  23. Toften, 2004, The relationships among quality, cost, value and use of export market information: an empirical study, Journal of International Marketing, 12, 104, 10.1509/jimk.12.2.104.32899 · doi:10.1509/jimk.12.2.104.32899
  24. Turel, 2006, Satisfaction with mobile services in Canada: an empirical investigation, Telecommunications Policy, 30, 314, 10.1016/j.telpol.2005.10.003 · DOI · Paper page
  25. 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
  26. Venkatesh, 2000, Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior, MIS Quarterly, 24, 115, 10.2307/3250981 · DOI · Paper page
  27. Wixom, 2005, A theoretical integration of user satisfaction and technology acceptance, Information Systems Research, 16, 85, 10.1287/isre.1050.0042 · DOI · Paper page
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Metadata

Authors
Turel, O., Serenko, A., & Bontis, N.
Venue
Information & Management
Publisher
Elsevier BV
Published
2007-01
Volume
44
Issue
1
Pages
63-73
ISSN
0378-7206 (ISSN-L)
OpenAlex
W2117971767
Cited by
442
References
11
FWCI
30.70
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: User acceptance of wireless short messaging services: Deconstructing perceived value. https://app.cochat.ai/papers/10.1016/j.im.2006.10.005
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Turel, O., Serenko, A., & Bontis, N. (2007). User acceptance of wireless short messaging services: Deconstructing perceived value. Information & Management. https://doi.org/10.1016/j.im.2006.10.005

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.