The adoption of Web 2.0 services: An empirical investigation

Technological Forecasting and Social Change

Volumn 78, Issue 4, 2011, Pages 547-558

  Corrocher, Nicoletta ^a  

^a BOCCONI UNIVERSITY   (Italy)

Author keywords

Diffusion of innovations; Web 2.0 services

Indexed keywords

DIFFUSION OF INNOVATIONS; EASE OF USE; EMPIRICAL ANALYSIS; EMPIRICAL INVESTIGATION; INDIVIDUAL CHARACTERISTICS; SOCIAL BOOKMARKING; SOCIAL INFLUENCE; SOCIAL NETWORKING; TECHNOLOGICAL FEATURE; TECHNOLOGY ACCEPTANCE MODEL; THEORETICAL FRAMEWORK; VIDEO SHARING; WEB 2.0;

DIFFUSION; INNOVATION;

WEB SERVICES;

EMPIRICAL ANALYSIS; INNOVATION; INTERNET; TECHNOLOGY ADOPTION; TECHNOLOGY DIFFUSION; THEORETICAL STUDY;

EID: 79952700925     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2010.10.006     Document Type: Article

References (42)

1. Rogers E.M. Diffusion of innovations 2003, The Free Press, New York.
2. Davis F.D. Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Q. 1989, 13(3):319-339.
3. Antonelli C. Diffusion as a process of creative adoption. J. Technological Transf. 2006, 31:211-226.
4. Goldfarb A., Prince J. Internet adoption and usage patterns are different: implications for digital divide. Inf. Econ. Policy 2008, 20(1):2-15.
5. Roehrich G. Consumer innovativeness: concepts and measurements. J. Bus. Res. 2004, 57:671-677.
6. Clark R.A., Goldsmith R.E. Interpersonal influence and consumer innovativeness. Int. J. Consum. Stud. 2006, 30(1):34-43.
7. D'Ambra J., Rice R.E. Emerging factors in user evaluation of the World Wide Web. Inf. Manage. 2001, 38(6):373-384.
8. Van der Heijden H. Factors influencing the usage of websites: the case of a generic portal in The Netherlands. Inf. Manage. 2003, 40:541-549.
9. Heckman J. Sample selection bias as a specification error. Econometrica 1979, 47:153-161.
10. Bettman J.R., Park C.W. Effects of prior knowledge and experience and phase of the choice process on consumer decision processes: a protocol analysis. J. Consum. Res. 1980, 7(3):234-248.
11. Goldsmith R.E., Flynn L.R. Identifying innovators in consumer product markets. Eur. J. Mark. 1992, 26(12):42-55.
12. Venkatesh V., Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 2000, 46(2):186-204.
13. Kerstetter D., Cho M.H. Prior knowledge, credibility and information search. Ann. Tourism Res. 2004, 31(4):961-985.
14. Abrahamson E. Managerial fads and fashions: the diffusion and rejection of innovations. Acad. Manage. Rev. 1991, 16:586-612.
15. Bikhchandani S., Hirshleifer D., Welch I. A theory of fads fashion, custom, and cultural change as informational cascades. J. Polit. Econ. 1992, 100(5):992-1026.
16. Rip A. Introduction of new technology: making use of recent insights from sociology and economics of technology. Technol. Anal. Strateg. Manage. 1995, 7(4):417-431.
17. Attewell P. Technology diffusion and organizational learning: the case of business computing. Organ. Sci. 1992, 3(1):1-19.
18. Mitchell V., Davies F., Moutinho L., Vassos V. Using neural networks to understand service risk in the holiday product. J. Bus. Res. 1999, 46(2):167-180.
19. Fichman R.G., Kemerer C.F. The illusory diffusion of innovation: an examination of assimilation gaps. Inf. Syst. Res. 1999, 10(3):255-275.
20. Cooper R.B., Zmud R.W. Information technology implementation research: a technology diffusion approach. Manage. Sci. 1990, 36(2):123-139.
21. Church J., Gandal N. Platform competitions in telecommunications. The Handbook of Telecommunications Economics Volume 2 2004, North Holland, Amsterdam. M. Cave, S. Majumbar, I. Vogelsgang (Eds.).
22. Liker J.K., Fleischer M., Arnsdorf D. Fulfilling the promises of CAD. Sloan Manage. Rev. 1992, 33(3):74-86.
23. Oh S., Ahn J., Kim B. Adoption of broadband Internet in Korea: the role of experience in building attitudes. J. Inf. Technol. 2003, 18:267-280.
24. Ostlund L.E. Perceived innovation attributes as predictors of innovativeness. J. Consum. Res. 1974, 1(2):23-29.
25. Hirunyawipada T., Paswan A.K. Consumer innovativeness and perceived risk: implications for high technology product adoption. J. Consum. Mark. 2006, 23(4):182-198.
26. Jacoby J., Kaplan L. The components of perceived risk. Advances in consumer research, 3 1972, Association for Consumer Research, Chicago. M. Venkatesan (Ed.).
27. Dholakia U.M. A motivational process model of product involvement and consumer risk perception. Eur. J. Mark. 2001, 35(11/12):1340-1360.
28. Ajzen I., Fishbein M. Belief, attitude, intentions and behavior: an introduction to theory and research 1975, Addison-Wesley, Boston.
29. Geffen D., Straub D.W. The relative importance of perceived ease of use in IS adoption: a study of e-commerce adoption. J. Assoc. Inf. Syst. 2000, 1(8):1-30.
30. Davis F.D., Bagozzi R.P., Warshaw P.R. Extrinsic and intrinsic motivations to use computers in the workplace. J. Appl. Soc. Psychol. 1992, 22(14):1111-1132.
31. Teo T.S.H., Lim V.K.G., Lai R.Y.C. Intrinsic and extrinsic motivation in Internet usage Omega. Int. J. Manage. Sci. 1999, 27:25-37.
32. Bass F. A new product growth model for consumer durables. Manage. Sci. 1969, 15:215-227.
33. Abrahamson E., Rosenkopf L. Social network effects on the extent of innovation diffusion: a computer simulation. Organ. Sci. 1997, 8(3):289-309.
34. Farrell J., Saloner G. Standardization compatibility and innovation, Rand. J. Econ. 1985, 16:70-83.
35. Katz M.L., Shapiro C. Network externalities competition and compatibility. Am. Econ. Rev. 1985, 75:424-440.
36. Katz M.L., Shapiro C. System competition and network effects. J. Econ. Perspect. 1994, 8:93-115.
37. Wang Y., Wang Y., Yang Y. Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting Soc. Change 2010, 77(5):803-815.
38. Malhotra Y., Galletta D.F. Extending the technology acceptance model to account for social influence. Theoretical Basis and Empirical Validation, Proceedings of the 32nd Hawaii International Conference of System Sciences 1999.
39. Wu J., Wang S. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf. Manage. 2005, 42:719-729.
40. Lederer A.L., Maupin D.J., Sena M.P., Zhuang Y. The technology acceptance model and the World Wide Web. Decis. Support Syst. 2000, 29:269-282.
41. King W.R., He J. A meta-analysis of the technology acceptance model. Inf. Manage. 2006, 43:740-755.
42. Schepers J., Wetzels M. A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Inf. Manage. 2007, 44:90-103.