Internet usage for information provisioning: Theoretical construct development and empirical validation in the clinical decision-making context

IEEE Transactions on Engineering Management

Volumn 53, Issue 1, 2006, Pages 112-129

  Ambrose, Paul J ^a   Rai, Arun ^b   Ramaprasad, Arkalgud ^c  

^a UNIVERSITY OF WISCONSIN WHITEWATER   (United States)

^b GEORGIA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Information processing; Information systems (IS) success; Internet; IS usage; Partial least squares

Indexed keywords

DATA REDUCTION; DECISION MAKING; INTERNET; PRINCIPAL COMPONENT ANALYSIS;

EMPIRICAL VALIDATION; INFORMATION PROVISIONING; INFORMATION SYSTEMS (IS); IS USAGE; PARTIAL LEAST SQUARES; THEORETICAL CONSTRUCT DEVELOPMENT;

DATA PROCESSING;

EID: 31744445352     PISSN: 00189391     EISSN: None     Source Type: Journal    
DOI: 10.1109/TEM.2005.861810     Document Type: Review

References (98)

1. W. H. DeLone and E. R. McLean, "Information systems success: The quest for the dependent variable," Inf. Syst. Res., vol. 3, no. 1, pp. 60-95, 1992.
2. C. E. Shannon and W. Weaver, The Mathematical Theory of Communication. Urbana, IL: Univ. Illinois Press, 1949.
3. R. O. Mason, "Measuring information output: A communications systems approach,", vol. 1, no. 5, pp. 219-234, 1978.
4. A. Rai, S. S. Lang, and R. B. Welker, "Assessing the validity of IS success models: An empirical test and theoretical analysis," Inf. Syst. Res., vol. 13, no. 1, pp. 50-69, 2002.
5. P. B. Seddon, "A respecification and extension of the DeLone and McLean model of IS success," Inf. Syst. Res., vol. 8, no. 3, pp. 240-253, 1997.
6. D. L. Goodhue and R. L. Thompson, "Task-technology fit and individual performance," MIS Quart., vol. 19, no. 2, pp. 213-236, 1995.
7. S. R. Barkin and G. W. Dickson, "An investigation of information system utilization," Inf. Manage., vol. 1, pp. 35-45, 1977.
8. W. J. Doll and G. Torkzadeh, "Developing a multidimensional measure of system-use in an organizational context," Inf. Manage., vol. 33, no. 4, pp. 171-185, 1998.
9. H. C. Lucas and V. K. Spitler, "Technology use and performance: A field study of broker workstations," Dec. Sci., vol. 30, no. 2, p. 291, 1999.
10. A. W. Trice and M. E. Treacy, "Utilization as a dependent variable in MIS research," Data Base, vol. 19, no. 3/4, pp. 33-41, 1988.
11. B. Szajna, "Determining information systems usage: Some issues and examples," Inf. Manage., vol. 25, no. 3, pp. 147-154, 1993.
12. G. C. Moore and I. Benbasat, "Integrating diffusion of innovations and theory of reasoned action models to predict utilization of information technology by end-users," in Diffusion and Adoption of Information Technology, K. Kautz and J. Pries-Heje, Eds. London, U.K.: Chapman and Hall, 1996, pp. 132-146.
13. D. Straub, M. Limayem, and E. Karahanna-Evaristo, "Measuring system usage: Implications for IS theory testing," Manage. Sci., vol. 41, no. 8, pp. 1328-1342, 1995.
14. S. Schwartz and T. Griffin, "Medical thinking: The psychology of medical judgment and decision making," in Contributions to Psychology and Medicine. New York: Springer-Verlag, 1986.
15. T. Griffin, S. Schwartz, and K. Sofronoff, "Implicit processes in medical diagnosis," in Implicit and Explicit Mental Processes, K. Kirsner, C. Speelman, M. Maybery, A. O'Brien-Malone, M. Anderson, and C. Macleod, Eds. Mahwah, NJ: Lawrence Erlbaum, 1998, pp. 329-341.
16. G. B. Chapman and A. S. Elstein, "Cognitive processes and biases in medical decision making," in Decision Making in Healthcare: Theory, Psychology, and Applications, G. B. Chapman and F. A. Sonnenberg, Eds. Cambridge, MA: Cambridge Univ. Press, 2000, pp. 183-210.
17. J. M. Kramer and A. Cath, "Medical resources and the Internet. Making the connection," Archives of Internal Medicine, vol. 156, no. 8, pp. 833-842, 1996.
18. A. Risk and C. Petersen, "Health information on the Internet: Quality issues and international initiatives," J. Amer. Med. Assoc., vol. 287, no. 20, pp. 2713-2715, 2002.
19. L. Casebeer, N. Bennett, R. Kristofco, A. Carillo, and R. Centor, "Physician Internet medical information seeking and on-line continuing education use patterns," J. Continuing Education in the Health Professions, vol. 22, pp. 33-42, 2002.
20. N. L. Bennett, L. L. Casebeer, R. E. Kristofco, and S. M. Strasser, "Physicians' Internet information-seeking behaviors," J. Continuing Education in the Health Professions, vol. 24, no. 1, pp. 31-38, 2004.
21. M. H. Ashcraft, Human Memory and Cognition, 2nd ed. New York: Harper Collins, 1994.
22. R. L. Daft and R. H. Lengel, "Organizational information requirements, media richness and structural design," Manage. Sci., vol. 32, no. 5, pp. 554-571, 1986.
23. D. Kahneman, Attention and Effort. Englewood Cliffs, NJ: Prentice-Hall, 1973.
24. J. G. March and H. A. Simon, Organizations. New York: Wiley, 1958.
25. M. L. Tushman and D. A. Nadler, "Information processing as an integrating concept in organizational design," Acad. Manage. Rev., vol. 3, no. 3, p. 613, 1978.
26. J. R. Galbraith, Organization Design. Reading, Mass.: Addison-Wesley, 1977.
27. H. M. Schroder, M. J. Driver, and S. Streufert, Human Information Processing; Individuals and Groups Functioning in Complex Social Cituations. New York: Holt Rinehart and Winston, 1967.
28. J. Hartwick and H. Barki, "Explaining the role of user participation in information system use," Manage. Sci., vol. 40, no. 4, pp. 440-465, 1994.
29. F. D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quart., vol. 13, no. 3, pp. 319-339, 1989.
30. V. Venkatesh and F. D. Davis, "A theoretical extension of the technology acceptance model: Four longitudinal field studies," Manage. Sci., vol. 46, no. 2, pp. 186-204, 2000.
31. M. Fan, J. Stallaert, and A. B. Whinston, "Decentralized mechanism design for supply chain organizations using an auction market," Inf. Syst. Res., vol. 14, no. 1, pp. 1-22, 2003.
32. L. Z. Tiedens and S. Linton, "Judgment under emotional certainty and uncertainty: The effects of specific emotions on information processing," J. Pers. Soc. Psychol., vol. 81, no. 6, pp. 973-988, 2001.
33. R. Makadok and J. B. Barney, "Strategic factor market intelligence: An application of information economics to strategy formulation and competitor intelligence," Manage. Sci., vol. 47, no. 12, pp. 1621-1638, 2001.
34. R. T. Keller, "Technology-information processing fit and the performance of R&D project groups: A test of contingency theory," Acad. Manage. J., vol. 37, no. 1, pp. 167-179, 1994.
35. W. R. Garner, Uncertainty and Structure as Psychological Concepts. New York: Wiley, 1962.
36. P. J. Carlson and G. B. Davis, "An investigation of media selection among directors and managers: From 'self' to 'other' orientation," MIS Quart., vol. 22, no. 3, pp. 335-362, 1998.
37. R. L. Daft, R. H. Lengel, and L. K. Trevino, "Message equivocality, media selection, and manager performance: Implications for information systems," MIS Quart., vol. 11, no. 3, pp. 355-366, 1987.
38. K. H. Lim and I. Benbasat, "The effect of multimedia on perceived equivocality and perceived usefulness of information systems," MIS Quart., vol. 24, no. 3, pp. 449-471, 2000.
39. S. S. Kahai and R. B. Cooper, "Exploring the core concepts of media richness theory: The impact of cue multiplicity and feedback immediacy on decision quality," J. Manage. Inf. Syst., vol. 20, no. 1, pp. 263-300, 2003.
40. Y. You and M. Alavi, "Media and group cohesion: Relative influences on social pretense, task participation, and group consensus," MIS Quart., vol. 25, no. 3, pp. 371-390, 2001.
41. A. G. Schick, L. A. Gordon, and S. Haka, "Information overload: A temporal approach," Account. Org. Soc., vol. 15, no. 3, pp. 199-220, 1990.
42. M. I. Posner, "Cumulative development of attentional theory," Amer. Psychologist, vol. 37, no. 2, pp. 168-179, 1982.
43. G. D. Logan, "Cumulative progress in formal theories of attention," Annu. Rev. Psychol., vol. 55, pp. 207-234, 2004.
44. W. C. Howell and S. A. Burnett, "Uncertainty measurement: A cognitive taxonomy," Org. Behav. Hum. Perform., vol. 22, no. 1, pp. 45-68, 1978.
45. C. Bundesen, "A theory of visual attention," Psychol. Rev., vol. 97, pp. 523-547, 1990.
46. D. E. Broadbent, Perception and Communication. New York: Pergamon Press, 1958.
47. J. A. Deutsch and D. Deutsch, "Attention: Some theoretical consideration," Psychol. Rev., vol. 70, no. 1, pp. 80-90, 1963.
48. A. M. Treisman, "Strategies and models of selective attention," Psychol. Rev., vol. 76, no. 3, pp. 282-299, 1969.
49. D. Kahneman and A. M. Treisman, "Changing views of attention and automaticity," in Varieties of Attention, R. Parasuraman and D. R. Davis, Eds. New York: Academic, 1984, pp. 29-61.
50. J. Driver, "A selective review of selective attention research from the past century," British J. Psychol., vol. 92, no. 1, pp. 53-78, 2001.
51. G. D. Logan, "An instance theory of attention and memory," Psychol. Rev., vol. 109, no. 2, pp. 376-400, 2002.
52. C. Bundesen, "A general theory of visual attention," in Psychology at the Turn of the Millennium: Vol. 1. Cognitive, Biological and Health Perspectives, L. Backman and C. von Hofsten, Eds. Hove, U.K.: Psychology Press, 2002, pp. 179-200.
53. E. Bricolo, T. Gianesini, A. Fanini, C. Bundesen, and L. Chelazzi, "Serial attention mechanisms in visual search: A direct behavioral demonstration," J. Cogn. Neurosci., vol. 14, pp. 980-993, 2002.
54. A. M. Treisman, "Contextual cues in selective listening," Quart. J. Exp. Psychol., vol. 12, pp. 242-248, 1960.
55. M. I. Posner, "Orienting of attention," Quart. J. Exp. Psychol., vol. 32, pp. 3-25, 1980.
56. M. Van Alstyne and E. Brynjolfsson, "Wider access and narrower focus: Could the Internet balkanize science?," Sci., vol. 274, no. 5292, pp. 1479-1480, 1996.
57. A. Rai, C. S. Stubbart, and D. Paper, "Do executive information systems reinforce biases?," Account. Manage. Inf. Technol., vol. 4, no. 2, pp. 87-106, 1994.
58. W. H. DeLone and E. R. McLean, "The DeLone and McLean model of information systems success: A ten-year update," J. Manage. Inf. Syst., vol. 19, no. 4, pp. 9-30, 2003.
59. C. B. Jarvis, S. B. Mackenzie, P. M. Podsakoff, D. G. Mick, and W. O. Bearden, "A critical review of construct indicators and measurement model misspecification in marketing and consumer research," J. Consumer Res., vol. 30, no. 2, pp. 199-218, 2003.
60. G. A. Churchill, "A paradigm for developing better measures of marketing constructs," J. Market. Res., vol. 16, pp. 64-73, February 1979.
61. R. F. DeVellis, Scale Development: Theory and Applications. Newbury Park, CA: Sage, 1991.
62. P. E. Spector, Summated Ratings Scales Construction. Newbury Park, CA: Sage, 1992.
63. A. Diamantopoulos and H. M. Winklhofer, "Index construction with formative indicators: An alternative to scale development," J. Market. Res., vol. 38, no. 2, pp. 269-277, 2001.
64. J. C. Nunnally and I. H. Bernstein, Psychometric Theory, 3rd ed. New York: McGraw-Hill, 1994.
65. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward a unified view," MIS Quart., vol. 27, no. 3, pp. 425-478, 2003.
66. A. R. Dennis, B. H. Wixom, and R. J. Vandenberg, "Understanding fit and appropriation effects in group support systems via meta-analysis," MIS Quart., vol. 25, no. 2, pp. 167-193, 2001.
67. F. D. Davis and V. Venkatesh, "Toward preprototype user acceptance testing of new information systems: Implications for software project management," IEEE Trans. Eng. Manage., vol. 51, no. 1, pp. 31-46, 2004.
68. I. Zigurs and B. K. Buckland, "A theory of task/technology fit and group support systems effectiveness," MIS Quart., vol. 22, no. 3, pp. 313-334, 1998.
69. T. H. Davenport, Process Innovation: Reengineering Work Through Information Technology. Boston, MA: Harvard Business School Press, 1993.
70. A. Ramaprasad and A. Rai, "Envisioning management of information," Omega, vol. 24, no. 2, pp. 179-193, 1996.
71. A. A. Penzias, Ideas and Information: Managing in a High-Tech World, 1st ed. New York: Norton, 1989.
72. D. A. Harrison, P. P. J. Mykytyn, and C. K. Riemenschneider, "Executive decisions about adoption of information technology in small business: Theory and empirical tests," Inf. Syst. Res., vol. 8, no. 2, pp. 171-195, 1997.
73. S. Taylor and P. A. Todd, "Understanding information technology usage: A test of competing models," Inf. Syst. Res., vol. 6, no. 2, pp. 144-176, 1995.
74. R. Agarwal and J. Prasad, "A conceptual and operational definition of personal innovativeness in the domain of information technology," Inf. Syst. Res., vol. 9, no. 2, pp. 204-215, 1998.
75. C. R. Plouffe, J. S. Hulland, and M. Vandenbosch, "Research report: Richness versus parsimony in modeling technology adoption decisions - understanding merchant adoption of a smart card-based payment system," Inf. Syst. Res., vol. 12, no. 2, pp. 208-222, 2001.
76. E. Karahanna, D. W. Straub, and N. L. Chervany, "Information technology adoption across time: A cross-sectional comparison of preadoption and post-adoption beliefs," MIS Quart., vol. 23, no. 2, pp. 183-213, 1999.
77. V. Sethi and W. R. King, "Construct measurement in information systems research: An illustration in strategic systems," Dec. Sci., vol. 22, no. 3, pp. 455-472, 1991.
78. A. H. Segars, "Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research," Omega, vol. 25, no. 1, pp. 107-121, 1997.
79. J. F. Hair, R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis, 5th ed. Upper Saddle River, NJ: Prentice-Hall, 1998.
80. B. M. Byrne, Structural Equation Modeling with EQS and EQS/WINDOWS. Basic Concepts, Applications, and Programming. Thousand Oaks, CA: Sage, 1994.
81. D. Gefen, D. Straub, and M.-C. Boudreau, "Structural equation modeling and regression: Guidelines for research practice," in Commun. AIS, vol. 4, 2000, pp. 1-77.
82. C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," J. Market. Res., vol. 18, no. 1, pp. 39-50, 1981.
83. J. C. Anderson and D. W. Gerbing, "Structural equation modeling in practice: A review and recommended two-step approach," Psychol. Bull., vol. 103, no. 3, pp. 411-423, 1988.
84. R. P. Bagozzi, Y. Yi, and L. W. Phillips, "Assessing construct validity in organizational research," Admin. Sci. Quart., vol. 36, no. 3, pp. 421-458, 1991.
85. W. W. Rozeboom, "Sensitivity of a linear composite of predictor items to differential item weighting," Psychometrika, vol. 44, no. 3, pp. 289-296, 1979.
86. K. A. Bollen, Structural Equations With Latent Variables. New York: Wiley, 1989.
87. W. W. Chin, B. L. Marcolin, and P. R. Newsted, "A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and voice mail emotion/adoption study," in Proc. Int. Conf. Inf. Syst., Cleveland, OH, 1996, pp. 21-41.
88. W. W. Chin, "The partial least square approach to structural equation modeling," in Modern Methods for Business Research, G. A. Marcoulides, Ed. Mahwah, NJ: Lawrence Erlbaum, 1998, pp. 150-170.
89. S. Devaraj and R. Kohli, "Performance impacts of information technology: Is actual usage the missing link?," Manage. Sci., vol. 49, no. 3, pp. 273-289, 2003.
90. V. Venkatesh and M. G. Morris, "Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior," MIS Quart., vol. 24, no. 1, pp. 115-139, 2000.
91. M. G. Morris and V. Venkatesh, "Age differences in technology adoption decisions: Implications for a changing work force," Pers. Psychol., vol. 53, no. 2, pp. 375-403, 2000.
92. R. C. MacCallum and M. W. Browne, "The use of causal indicators in covariance structure models: Some practical issues," Psychol. Bull., vol. 114, no. 3, pp. 533-41, 1993.
93. R. P. Bagozzi, "The role of measurement in theory construction and hypothesis testing: Toward a holistic model," in A Second Generation of Multivariate Analysis, C. Fornel, Ed. New York: Praeger, 1982, vol. 1, pp. 5-23.
94. R. P. Bagozzi and C. Fornell, "Theoretical concepts, measurements, and meaning," in A Second Generation of Multivariate Analysis, C. Fornel, Ed. New York: Praeger, 1982, vol. 1, pp. 24-38.
95. K. Bollen and R. Lennox, "Conventional wisdom on measurement," Psychol. Bull., vol. 110, no. 2, pp. 304-314, 1991.
96. K. A. Bollen, "Multiple indicators: Internal consistency or no necessary relationship?," Quality and Quantity, vol. 18, pp. 377-385, 1984.
97. B. G. Tabachnick and L. S. Fidell, Using Multivariate Statistics, 3rd ed. New York: Harper Collins, 1996.
98. A. N. Oppenheim, Questionnaire Design and Attitude Measurement. New York: Basic Books, 1966.