A Study of the impact of individual differences on online shopping

International Journal of e-Business Research

Volumn 6, Issue 1, 2010, Pages 52-67

  Wang, Jianfeng ^a   Gu, Linwu ^a   Aiken, Milam ^b  

^a INDIANA UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF MISSISSIPPI   (United States)

Author keywords

E business; E commerce strategy; Individual differences; Online shopping; Perceived risk; Perceived usefulness

Indexed keywords

EID: 73949090484     PISSN: 15481131     EISSN: 1548114X     Source Type: Journal    
DOI: 10.4018/jebr.2010100904     Document Type: Article

References (38)

1. Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694. doi:10.2307/3250951
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
3. Alavi, M., & Joachimsthalter, E. (1992). Revisiting DSS implementation research: A meta-analysis of the literature and suggestions for researchers. MIS Quarterly, 16(1), 95-116. doi:10.2307/249703
4. Baron, R., & Kenny, D. (1986). The moderatormediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. doi:10.1037/0022- 3514.51.6.1173
5. Bauer, R. (1967). Consumer behavior as risk taking. In D. Cox, Risk taking and information handling in consumer behavior. Cambridge, MA: Harvard University Press.
6. Chang, J., Torkzadeh, G., & Dhillon, G. (2004). Reexamining the measurement models of success for Internet commerce. Information & Management, 41, 577-584. doi:10.1016/S0378-7206(03)00091-0
7. Chang, M., Cheung, W., & Lai, V. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42(4), 543-559. doi:10.1016/S0378-7206(04)00051-5
8. Compeau, D., & Higgins. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2), 189-211. doi:10.2307/249688
9. Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 318-339. doi:10.2307/249008
10. den Poel, D., & Leunis, J. (1999). Consumer acceptance of the Internet as a channel of distribution. Journal of Business Research, 45(3), 249-256. doi:10.1016/S0148-2963(97)00236-1
11. der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: Contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48. doi:10.1057/palgrave.ejis.3000445 (Pubitemid 36420429)
12. Devaraj, S., Fan, M., & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research, 13(3), 316-333. doi:10.1287/ isre.13.3.316.77
13. Featherman, M., & Pavlou, P. (2003). Predicting eservices adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. doi:10.1016/S1071-5819(03)00111- 3
14. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
15. Hoffman, D., Novak, T., & Chatterjee, P. (1995). Commercial scenarios for the Web: Opportunities and challenges. Journal of Computer-Mediated Communication, 1(3).
16. Hoffman, D., Novak, T., & Peralita, M. (1999). Building consumer trust online. Communications of the ACM, 42(4), 80-85. doi:10.1145/299157.299175
17. Hu, P., Chau, P., Sheng, O., & Tam, K. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.
18. Hubona, G., & Blanton, J. (1996). Evaluating system design features. International Journal of Human- Computer Studies, 44(1), 93-118. doi:10.1006/ ijhc.1996.0005
19. Internet World Stats. (2009). Internet world stats:Usage and population statistics. Retrieved January 24, 2009, from http://www.internetworldstats.com/ stats.htm
20. Jarvenpaa, S., & Todd, P. (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59-88.
21. Jarvenpaa, S., & Tractinsky, N. (1999). Consumer trust in an Internet store: A cross-cultural validation. Journal of Computer-Mediated Communication, 5(2), 1-35.
22. Jarvenpaa, S., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1-2), 45-71. doi:10.1023/A:1019104520776
23. Karahanna, E., Ahuja, M., Srite, M., & Galvin, J. (2002). Individual differences and relative advantage: The case of GSS. Decision Support Systems, 32(4), 327-341. doi:10.1016/S0167-9236(01)00124-5 (Pubitemid 34154795)
24. Kimery, K., & McCord, M. (2002). Third party assurances: Mapping the road to trust in e-retailing. Journal of Information Technology Theory and Application, 4(2), 63-81.
25. Kuk, G. (2004). Effectiveness of vendor-managed inventory in the electronics industry: Determinants and outcomes. Information & Management, 41(5), 645-654. doi:10.1016/j.im.2003.08.002
26. Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282. doi:10.1016/S0167-9236(00)00076-2 (Pubitemid 30929713)
27. Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. doi:10.1016/ S0378-7206(01)00143-4
28. Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from Internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics, 30(4), 421-432. doi:10.1109/3468.852436 (Pubitemid 30903459)
29. Nielson Company. (2009). Global online shopping report, February 2008. Retrieved January 24, 2009 from http://www.nielsen.com/solutions/ GlobalOnlineShoppingReportFeb08.pdf
30. Parasuraman, S., & Igbaria, M. (1990). An examination of gender differences in the determinants of computer anxiety and attitudes toward microcomputers among managers. International Journal of Man-Machine Studies, 32(3), 327-340. doi:10.1016/ S0020-7373(08)80006-5
31. Pitknow, J., & Kehoe, C. (1996). Emerging trends in the WWW user population. Communications of the ACM, 39(6), 106-108. doi:10.1145/228503.228525
32. Salkin, S. (1999). Fear of buying. Logistics Management and Distribution Report, 8(5), 101-104.
33. Shang, R., Chen, Y., & Shen, L. (2005). Extrinsic versus intrinsic motivations for consumers to shop online. Information & Management, 42(3), 401-413. doi:10.1016/j.im.2004.01.009
34. Shih, H. (2004). An empirical study on predictinguser acceptance of e-shopping on the Web. Information & Management, 41(3), 351-368. doi:10.1016/ S0378-7206(03)00079-X
35. Tan, M., & Teo, T. (2000). Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems, 1(1).
36. Torkzadeh, G., & Dhillon, G. (2002). Measuring factors that influence the success of Internet commerce. Information Systems Research, 13(2), 187-204. doi:10.1287/isre.13.2.187.87
37. U.S. Census Bureau. (2009). Service sector statistics quarterly retail e-commerce sales. Retrieved January 24, 2009, from http://www.census.gov/mrts/ www/ecomm.html
38. Vijayasarathy, L. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management, 41(6), 747-762. doi:10.1016/j. im.2003.08.011