Social influence on knowledge worker's adoption of innovative information technology

Journal of Computer Information Systems

Volumn 50, Issue 1, 2009, Pages 25-36

  Yang, Hee Dong ^a   Moon, Yun Ji ^a   Rowley, Chris ^b  

^a Ewha Womans University   (South Korea)

^b CITY UNIVERSITY   (United Kingdom)

Author keywords

It; Knowledge workers; Social influence; Subjective norm; Users

Indexed keywords

IT; KNOWLEDGE WORKERS; SOCIAL INFLUENCE; SUBJECTIVE NORM; USERS;

ECONOMIC AND SOCIAL EFFECTS; KNOWLEDGE MANAGEMENT;

INFORMATION TECHNOLOGY;

EID: 73349142305     PISSN: 08874417     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (70)

1. Agrawal, R., & Prasad, J. 1997. The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Science, 28, 557- 582. (Pubitemid 128000880)
2. Ajzen, I. 1985. From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckman (Eds.), Action control: From cognition to behavior (pp.11-39). New York: Springer- Verlag.
3. Amar, A.D. 2002. Managing knowledge workers. New York: Quorum.
4. Amit, R., & Schoemaker, P.J.H. 1993. Strategic assets and organizational rent. Strategic Management Journal, 14, 33- 46.
5. Anderson, P., & Tushman, M. 1990. Technological discontinuities and dominant designs: A cyclical model of technological change. Administrative Science Quarterly, 35,604-634.
6. Bandura, A. 1986. Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
7. Barclay, D., Higgins, C, & Thomson, R. 1995. The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2, 2, 285-309.
8. Brass, D.J. 1984. Being in the right place: A structural analysis of individual influence in an organization. Administrative Science Quarterly, 29,518-539.
9. Business Wire. Feb 2001. Working council of CIOs.
10. Carmines, E.G., & Zeller, R.A. 1979. Reliability and validity assessment. Sage university paper series on quantitative applications in the social sciences, California: Sage, Beverley Hills.
11. Carte, T, & Russell, C. 2003. In pursuit of moderation: Nine common errors and their solutions. MIS Quarterly, 27,3,479- 501.
12. Charan, R. 2001. Conquering a culture of indecision. Harvard Business Review, 74-82.
13. Chau, P.Y.K. 1996. An empirical assessment of a modified technology acceptance model. Journal of Management Information Systems, 13,2,185-204.
14. Chau, P.Y.K., & Hu, P.J-H. 2002. Investigating healthcare professional's decision to accept telemedicine technology: An empirical test of competing theories. Information & Management, 39,4,297-311.
15. Cheung, W., Chang, M.K., & Lai, V.S. 2000. Prediction of Internet and world wide web usage at work: A test of and extended Triandis model. Decision Support Systems, 30, 83-100.
16. Chin, W.W. 1998. Issues and opinion on structural equation modeling. MIS Quarterly, vii-xvi.
17. Cohen, W., & Levinthal, D. 1990. Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35,128-152.
18. Davis, F.D., Bagozzi, R., & Warshaw, P.R. 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 8, 982-1003.
19. Davis, G.B. 2002. Anytime/anyplace computing and the future of knowledge work. Communications of the ACM , 45, 12, 67-73.
20. Drucker, P.F. 1997. The future that has already happened. Harvard Business Review, 75,5, 20-24.
21. Elkjaer, B. 2000. Learning and getting to know: the case of knowledge worker. Human Resource Development International, 3, 3,343-359.
22. Etillie, J.E. 1983. A note on the relationship between managerial change sector firms. R&D Management, 13,231-244.
23. Evers, H-D., & Menkhoff, T. 2004. Expert knowledge and the role of consultants in an emerging knowledge-based economy. Human Systems Management, 23,123-135.
24. Farhoomand, A.F., & Drury, D.H. 2000. Managerial information overload. Communication of ACM, 45,10,127-131.
25. Fiedler, F. 1967. A theory of leadership effectiveness, New York: McGraw-Hill.
26. Fishbein, M., & Ajzen, I. 1975. Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
27. Fisher, R.J., & Price, L.L. 1992. An investigation into the social context of early adoption behavior. Journal of Consumer Research, 19,3,477-486.
28. Flood, PC, Turner, T., Ramamoorthy, N., & Pearson, J. 2001. Causes and consequences of psychological contracts among knowledge workers in the high technology and financial services industries. International Journal of Human Resource Management, 12, 7,1152-1165.
29. Fornell, C, & Lacker, D. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18,921-950.
30. Fulk, J. 1993. Social construction of communication technology. Academy of Management Journal, 36,5,921-950.
31. Fulk, J., Steinfield, J.S., & Power, G. 1987. A social information processing model of media in organizations. Communication Research, 14,529-552.
32. Gefen, D., & Straub, D.W. 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, 8,1-28.
33. Hall, R. 1992. The strategic analysis of intangible resources. Strategic Management Review, 13,135-144.
34. Harris, R.W. 1992. Attitudes toward end-user computing: A structural equation model. Behavior & Information Technology, 18, 2,109-125.
35. Jarvis, C.B., Mackenzie, S.B., & Podsakoff, P.M. 2003. A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30, September, 199-218.
36. Johnson, G.S., & Levenburg, N.M. 1994. The work team is not the college professor. Journal of Education for Business, 69, 5, 303-307.
37. Keil, M., Tan, B.C.Y., Wei, K.K., & Saarinen, T. 2000. A crosscultural study on escalation of commitment behavior in software projects. MIS Quarterly, 24, 2, 299-325.
38. Lawrence, P., & Lorsch, J. 1967. Organizations an environments, Boston: Harvard University Press.
39. Lucas, H.Jr. 1981. Implementation: The key to successful information systems. New York: Columbia Press.
40. Lucas, H.Jr., & Spiller, V.K. 1999. Technology use and performance: A field study of broker workstations. Decision Science, 30,2, 291-311.
41. Markus, M.L. 1990. Toward a "critical mass" theory of interactive media. In J. Fulk, & C. Steinfield (Eds.), Organizations and communication technology (pp. 194-218). Newbury Park, CA: Sage.
42. Mathieson, K. 1991. Predicting user intentions: Comparing the technology of planned behavior. Information Systems Research, 2, 3,173-191.
43. McFarlan, F.W., McKenny, J.L., & Pyburn, P. 1983. Information archipelago-plotting a course. Harvard Business Review, 61, 145-156.
44. Moore, G.C., & Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2, 3, 192-222.
45. Nonaka, I., Toyama, R., & Konno, N. 2000. SECI, ba and leadership: A unified model of dynamic knowledge creation. Long Range Planning, 33,5-34.
46. Pease, P. 1988. Factors influencing the actual use of video conferencing by managers for organizational communication. Unpulished Ph.D dissertation, University of Southern California.
47. Pradip, K.R., & Sahu, S. 1989. The measurement and evaluation of white-collar productivity. Journal of Operations & Production Management, 9,4,28-48.
48. Prahalad, C.K., & Hamel, G. 1990. The core competence of the corporation. Harvard Business Review, 79-91.
49. Pfeffer, J. 1982. Organizations and organization theory. Marshfield, MA: Pitman.
50. Ribière, V.M., & Sitar, A.S. 2003. Critical role of leadership in nurturing a knowledge-supporting culture. Knowledge Management Research and Practice, 1,1, 39-48.
51. Rice, R.E., & Aydin, C. 1991. Attitudes toward new organizational technology: Network proximity as a mechanism for social information processing. Administrative Science Quarterly, 35, 219-244.
52. Rice, R.E., & Shook, D. 1990. Relationships of job categories and organizational levels to use of communication channels, including electronic mail: A meta-analysis and extension. Journal of Management Studies, 27,195-229.
53. Rivis, A., & Sheeran, P. 2003. Descriptive norms as an additional predictor in the theory of planned behavior: A meta-analysis. Current Psychology, 22,3,218-233.
54. rd edition), New York: Free Pass, Macmillan publishing.
55. Sahraoui, S. 2001. Harnessing knowledge workers' participation for IT planning effectiveness. Behavior & Information Technology, 20,1,69-77.
56. Salancik, G.R., & Pfeffer, J. 1978. A social information processing approach to job attitudes and task design. Administrative Science Quarterly, 23,224-252.
57. Schilling, M. 2005. Strategic management of technological innovation. Boston: McGraw-Hill.
58. Shaw, J.B. 1980. An information-processing approach to the study of job design. Academy of Management Review, 5,41-48.
59. Smith A.D., & Rupp, W.T. 2004. Knowledge workers' perceptions of performance ratings. Journal of Workplace Learning, 16,3, 146-166.
60. Svenning, L. 1982. Predispositions toward a telecommunication innovation. Unpulished Ph.D dissertation, University of Southern California.
61. Sviokla, J.J. 1996. Knowledge workers and radically new technology. Sloan Management Review, 37,4,25-40.
62. Tarn, Y.M., Maret, K., & Stephen, J.F. 2002. Organizational & occupational commitment: Knowledge workers in large corporations. Journal of Management Studies, 39, 6, 775-801.
63. Taylor, S., & Todd, P.A. 1995. Understanding information technology usage: A test of competing models. Information Systems Research, 42,1, 85-92.
64. Thompson, J.D. 1967. Organizations and actions, New York: McGraw-Hill.
65. Thompson, R.L., Higgins, C.A., & Howell, J.M. 1991. Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 125-143.
66. Utterback, J.M., & Abemathy, W.J. 1975. A dynamic model of process and product innovation. Omega, the International Journal of Management Science, 3, 639-656.
67. Venkatesh, V., & Davis, F.D. 2000. A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 24, 2,451-481.
68. Warshaw, PR. 1980. A new model for predicting behavioral intentions: An alternative to Fishbein. Journal of Marketing Research, 17,2,153-172
69. Woodward, J. 1958. Management and technology, London: HMSO.
70. Yoo, Y, & Alavi, M. 2001. Media and group cohesion: Relative influences on social presence, task, participation, and group consensus. MIS Quarterly, 25, 3, 371-390.