Examining the effects of cognitive style in individuals' technology use decision making

Decision Support Systems

Volumn 45, Issue 2, 2008, Pages 228-241

  Chakraborty, Indranil ^a   Hu, Paul Jen Hwa ^a   Cui, Dai ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

Cognitive style; Individual differences; Technology acceptance; Technology use

Indexed keywords

ADAPTIVE SYSTEMS; DECISION MAKING; INFORMATION TECHNOLOGY; SYSTEMS ENGINEERING;

COGNITIVE STYLES; TECHNOLOGY ACCEPTANCE; TECHNOLOGY USAGE;

COGNITIVE SYSTEMS;

EID: 43249106756     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2007.02.003     Document Type: Article

References (87)

1. Adams D.A., Nelson R.R., and Todd P.A. Perceived usefulness, ease of use and usage of information technology: a replication. MIS Quarterly 16 2 (1992) 227-250
2. Agarwal R., and Prasad J. A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research 9 2 (1998) 204-215
3. Agarwal R., and Prasad J. Are individual differences germane to the acceptance of new information technologies. Decision Sciences 30 2 (1999) 361-391
4. Agor W.H. The Logic of Intuitive Decision Making: a Research-based Approach for Top Management (1986), Quorum Books, New York
5. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50 (1991) 179-211
6. Ajzen I., and Fishbein M. Understanding Attitudes and Predicting Social Behavior (1980), Prentice-Hall, Englewood Cliffs, NJ
7. Alavi M., and Joachimsthaler E.A. Revisiting DSS implementation research: a meta-analysis of the literature and suggestions for researchers. MIS Quarterly 16 1 (1992) 95-116
8. Allinson C.W., and Hayes J. The cognitive style index: a measure of intuition-analysis for organizational research. Journal of Management Studies 33 1 (1996) 119-128
9. Bandura A. Self-efficacy: toward a unifying theory of behavioral change. Psychological Review 84 2 (1977) 191-215
10. Bandura A. Self-efficacy mechanism in human agency. American Psychologies 37 (1982) 122-147
11. Banker R.D., and Kauffman R.J. The evolution of research on information systems: a fiftieth-year survey of the literature in management science. Management Science 50 3 (2004) 281-298
12. Barnard C.J. The Functions of the Executive (1938), Harvard University Press, Cambridge, MA
13. Baron R.M., and Kenny D.A. The moderator-mediator variable in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51 6 (1986) 1173-1182
14. Benbasat I., and Taylor R.N. The impact of cognitive styles on information systems design. MIS Quarterly 2 2 (1978) 43-54
15. Bentler P.M., and Bonett D.G. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88 (1980) 588-606
16. Blau P.M. Exchange and Power in Social Life (1964), John Wiley and Sons, New York
17. Bobic M., Davis E., and Cunningham R. The Kirton adaption-innovation inventory-validity issues, practical questions. Review of Public Personnel Administration (Spring 1999) 18-31
18. Bourgeois III L.J., and Eisenhardt K.M. Strategic decision process in high velocity environments: four cases in the microcomputer industry. Management Science 34 7 (1988) 816-835
19. Browne M.W., and Cudeck R. Alternative ways of assessing model fit. Sociological Methods and Research 21 2 (1992) 230-258
20. Buttner E.H., and Gryskiewicz N. Entrepreneurs' problem-solving styles: an empirical study using the Kirton adaption/innovation theory. Journal of Small Business Management 31 1 (1993) 22-31
21. Chilton M.A., Hardgrave B.C., and Armstrong D. Person-job cognitive style fit for software developers: the effect on strain and performance. Journal of Management Information Systems 22 2 (2005) 193-226
22. Clapp R.G., and deCiantis S.M. Adaption-innovation in large organizations: does cognitive style characterize actual behavior of employees at work? An exploratory study. Psychological Reports 65 (1989) 503-513
23. Compeau D.R., and Higgins C.A. Computer self-efficacy: development of a measure and initial test. MIS Quarterly 19 2 (1995) 189-211
24. Compeau D., Higgins C.A., and Huff S. Social cognitive theory and individual reactions to computing technology: a longitudinal study. MIS Quarterly 23 2 (1999) 145-158
25. Davis F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 3 (1989) 319-339
26. Davis F.D. User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies 38 3 (1993) 475-487
27. Davis F.D., Bagozzi R.P., and Warshaw P.R. User acceptance of computer technology: a comparison of two theoretical models. Management Science 35 (1989) 982-1002
28. Davis F.D., Bagozzi R.P., and Warshaw P.R. Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology 22 14 (1992) 1111-1132
29. Dickson G.W., DeSanctis G., and McBride D.J. Understanding the effectiveness of computer graphics for decision support: a cumulative experimental approach. Communications of the ACM 29 (1986) 40-47
30. Fishbein M., and Ajzen I. Belief, Attitude, Intention and Behavior: an Introduction to Theory and Research (1975), Addison-Wesley, Reading, MA
31. Fulk J., Steinfield C.W., Schmitz J., and Power J.G. A social information processing model of media use in organizations. Communications Research 14 (1987) 529-552
32. Green G.I., and Hughes C.T. Effects of decision support systems training and cognitive style on decision process attributes. Journal of Management Information Systems 3 2 (1986) 83-94
33. Hair J.F., Anderson R.E., Tatham R.L., and Black W.C. Multivariate Data Analysis (1998), Prentice Hall, Upper Saddle River, NJ
34. Harrison A.W., and Rainer Jr. R.K. The influence of individual differences on skill in end-user computing. Journal of Management Information Systems 9 1 (1992) 93-111
35. Hartwick J., and Barki H. Explaining the role of user participation in information system use. Management Science 40 (1994) 440-465
36. Havelka D. Predicting software self-efficacy among business students: a preliminary assessment. Journal of Information Systems Education 14 2 (2003) 145-152
37. Huber G.P. Cognitive style as a basis for MIS and DSS design: much ado about nothing?. Management Science 29 5 (1983) 567-579
38. Igbaria M. End-user computing effectiveness: a structural equation model. Omega 18 6 (1990) 637-652
39. James L.R., Mulaik S.A., and Brett J.M. Causal Analysis: Assumptions, Models, and Data (1982), Sage Publications, Beverly Hills, CA
40. Joshi K., and Kuhn K. Gender differences in IS career choice: examine the role of attitudes and social norms in selecting IS profession. Proceedings of the 2001 ACM SIGCPR Conference on Computer Personnel Research, San Diego, CA (2001) 121-124
41. Jung C.G. Psychological Types, or the Psychology of Individuation (1946), Harcourt Brace, New York
42. Kelman H.C. Compliance, identification, and internalization: three processes of attitude change. Journal of Conflict Resolution 2 (1958) 51-60
43. Kiesler C.A., and Kiesler S.B. Conformity (1969), Addison-Wesley, Reading, MA
44. Kirton M.J. Adaptors and innovators: a description and a measure. Journal of Applied Psychology 61 (1976) 622-629
45. Kirton M.J. Manual for Kirton Adaption-Innovation Inventory (1977), National Foundation for Educational Research, London
46. Kirton M.J. Adaptors and innovators: the way people approach problems. Planned Innovation 3 (1980) 51-54
47. Kirton M.J. Adaptors and innovators: why new initiatives get blocked. Long Range Planning 17 (1984) 137-143
48. Hellriegel and Slocum, Eds., Companion to Organizational Behavior, West Publishing.
49. In: Richards M.D. (Ed). Readings in Management (1986), South-Western Publishing Co.
50. Lee A. Electronic mail as a medium for rich communication: an empirical investigation using hermeneutic interpretation. MIS Quarterly 18 2 (1994) 143-157
51. Lee Y., Kozar K.A., and Larsen K.R.T. The technology acceptance model: past, present, and future. Communications of the AIS 12 (2003) 752-780
52. Leonard N.H., Scholl R.W., and Kowalski K.B. Information processing style and decision making. Journal of Organizational Behavior 20 3 (1999) 407-420
53. Lewis W., Agarwal R., and Sambamurthy V. Sources of influence on beliefs about information technology use: an empirical study of knowledge workers. MIS Quarterly 27 4 (2003) 657-678
54. Lucas H.C. Why Information Systems Fail (1975), Columbia University Press, New York
55. Majchrzak A., and Cotton J. A longitudinal study of adjustment to technological change: from mass to computer-automated batch production. Journal of Occupational Psychology 61 (1988) 43-66
56. Marakas G.M., Yi M.Y., and Johnson R.D. The multilevel and multifaceted character of computer self-efficacy: toward clarification on the construct and an integrative framework for research. Information Systems Research 9 2 (1998) 126-163
57. Markus M.L. Toward a 'Critical Mass' theory of interactive media. In: Fulk J., and Steinfield W. (Eds). Organizations and Communication Technology (1990), Newbury Park, CA, Sage 491-511
58. Mathieson K. Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information Systems Research 2 (1991) 173-191
59. Morris M.G., and Venkatesh V. Age differences in technology adoption decisions: implications for a changing workforce. Personnel Psychology 53 2 (2000) 375-403
60. Myers I.B., and McCaulley M.H. A Guide to the Development and Use of the Myers-Briggs Type Indicator (1985), Consulting Psychologists Press, Palo Alto, CA
61. Netemeyer R.G., Johnston M.W., and Burton S. Analysis of role conflict and ambiguity in structured equations framework. Journal of Applied Psychology 75 (1990) 148-157
62. Ngwenyama O.J., and Lee A.S. Communication richness in electronic mail: critical social theory and the contextuality of meaning. MIS Quarterly 21 2 (1997) 145-168
63. Nunnally J.C., and Bernstein I.H. Psychometric Theory. 3d ed. (1994), McGraw-Hill, New York
64. Pfeffer J. Power in Organizations (1981), Pitman, Marshfield, MA
65. Pfeffer J. Organizations and Organization Theory (1982), Ballinger Publishing Co., Cambridge, MA
66. Poole M.S., and DeSanctis G. Understanding the use of group decisions support systems: the theory of adaptive structuration. In: Fulk J., and Steinfield C. (Eds). Organizations and Communication Technology (1990), Newbury Park, CA, Sage 173-191
67. Rajagopalan N., Rasheed A.M.A., and Datta D.K. Strategic decision processes: critical review and future directions. Journal of Management 19 2 (1993) 349-384
68. Rogers E.M. Diffusion of Innovations. 4th ed. (1995), The Free Press, New York
69. Schweiger D.M. Measuring managers' minds: a critical reply to Robey and Taggart. Academy of Management Review 8 (1983) 143-151
70. Skinner E.A. Perceived Control, Motivation, and Coping (1995), Thousand Oaks, CA, Sage
71. Snitkin S.R., and King W.R. Determinants of the effectiveness of personal decision support systems. Information and Management 10 2 (1986) 83-89
72. Sperry R.W. Lateral specialization in cerebral function in the surgically separated hemispheres. In: Schoonover R.A. (Ed). The Psychophysiology of Thinking (1973), Academic Press, New York 209-299
73. Stevens J. Applied Multivariate Statistics for the Social Sciences (1986), Lawrence Erlbaum Associates, Hillsdale, NJ
74. Straub D., Limayem M., and Karahanna-Evaristo E. Measuring system usage: implications for IS theory testing. Management Science 41 8 (1995) 1328-1342
75. Szajna B. Software evaluation and choice: predictive validation of the technology acceptance instrument. MIS Quarterly 18 (1994) 319-324
76. Szajna B. Empirical evaluation of the revised technology acceptance model. Management Science 42 (1996) 85-92
77. Taylor S., and Todd P.A. Assessing IT usage: the role of prior experience. MIS Quarterly 19 4 (1995) 561-570
78. Taylor S., and Todd P.A. Understanding information technology usage: a test of competing models. Information Systems Research 6 (1995) 144-176
79. Tolbert P.S., and Moen P. Men's and women's definitions of 'good' jobs: similarities and differences by age and across time. Work and Occupations 25 (1998) 168-194
80. Venkatesh V. Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11 4 (2000) 342-365
81. Venkatesh V., and Davis F.D. A model of the antecedents of perceived ease of use: development and test. Decision Sciences 27 3 (1996) 451-481
82. Venkatesh V., and Davis F.D. A theoretical extension of the technology acceptance model: four longitudinal studies. Management Science 46 2 (2000) 186-204
83. Venkatesh V., and Morris M.G. 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 1 (2000) 115-139
84. Venkatesh V., Morris M.G., Davis G.B., and Davis F.D. User acceptance of information technology: toward a unified view. MIS Quarterly 27 3 (2003) 425-478
85. Webster J., and Martocchio J.J. Microcomputer playfulness: development of a measure with workplace implications. MIS Quarterly 16 2 (1992) 201-266
86. Zinkhan G.M., Joachimsthaler E.A., and Kinnear T.C. Individual differences and marketing decision support system usage and satisfaction. Journal of Marketing Research 24 2 (1987) 208-214
87. Zmud R.W. Individual differences and MIS success: a review of the empirical literature. Management Science 25 10 (1979) 966-979