Cited by 2,572Technology Adoption and User BehaviourInformation Systems Theories and ImplementationInnovation Diffusion and Forecasting

The Technology Acceptance Model: Past, Present, and Future

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Lee, Younghwa, Kozar, Kenneth A., Larsen, Kai R.T.·2003·Communications of the Association for Information Systems

Abstract

While the technology acceptance model (TAM), introduced in 1986, continues to be the most widely applied theoretical model in the IS field, few previous efforts examined its accomplishments and limitations. This study traces TAM's history, investigates its findings, and cautiously predicts its future trajectory. One hundred and one articles published by leading IS journals and conferences in the past eighteen years are examined and summarized. An open-ended survey of thirty-two leading IS researchers assisted in critically examining TAM and specifying future directions.

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  1. Adams, D. A., R.R. Nelson, and P.A. Todd (1992) "Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication" MIS Quarterly 16(2), pp. 227-247.
  2. Agarwal, R., and J. Prasad (1999) "Are Individual Differences Germane to The Acceptance of New Information Technologies?" Decision Sciences 30(2), pp. 361-391.
  3. Ajzen, I., and M. Fishbein (1980) Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice Hall.
  4. Atkinson, M., and C. Kydd (1997) "Individual Characteristics Associated with World Wide Web Use: An Empirical Study of Playfulness and Motivation" Data Base 28, pp. 53-62.
  5. Bandura, A. (1977) Social Learning Theory, Englewood Cliffs, NJ: Prentice Hall.
  6. Barki, H., and J. Hartwick (1994) "Measuring User Participation, User Involvement, and User Attitude" MIS Quarterly 18(1), pp. 59-82.
  7. Barki, H. S. Rivard, S., and J. Talbot (1993) "A Keyword Classification Scheme for IS Literature: an Update" MIS Quarterly (17) 2, pp. 209-226.
  8. Bejar, I. (1980) "Biased Assessment of Program Impact Due to Psychometric Artifacts" Psychological Bulletin (87), pp. 513-524.
  9. Bowen, W. (1986) The Puny Payoff from Office Computers Fortune, May 26, 1986, pp. 20-24.
  10. Briggs, R.O., M. Adkins, D. Mittleman, J. Kruse, S. Miller, and J.F. Nunamaker (1999) "A Technology Transition Model Derived From Field Investigation of GSS Use Abroad the U.S.S. CORONADO" Journal of Management Information Systems 15(3), pp. 151-195.
  11. Briggs, R.O., G. D. Vreede, and J.F. Nunamaker (2003) "Collaboration Engineering with ThinkLets to Pursue Sustained Success with Group Support Systems" Journal of Management Information Systems 19(4), pp. 31-64.
  12. Chau, P.Y.K. (1996a) "An Empirical Investigation on Factors Affecting the Acceptance of CASE by Systems Developers" Information and Management 30(6), pp. 269-280.
  13. Chau, P.Y.K. (1996b) "An Empirical Assessment of a Modified Technology Acceptance Model" Journal of Management Information Systems 13(2), pp.185-204.
  14. Chau, P.Y.K. (2001) "Influence of Computer Attitude and Self-efficacy on IT Usage Behavior" Journal of End User Computing 13(1), pp. 26-33.
  15. Chau, P.Y.K., and P.J. Hu (2002) "Investigating Healthcare Professionals' Decisions to Accept Telemedicine Technology: An Empirical Test of Competing Theories" Information and Management 39, pp. 297-311.
  16. Chen, L., M.L. Gillenson, and D.L. Sherrell (2002) "Enticing Online Consumers: An Extended Technology Acceptance Perspective" Information and Management 39, pp. 705-719.
  17. Cheon, M.J., V. Grover, and R. Sabherwal (1993) "The Evolution of Empirical Research in IS Maturity" Information & Management (24) 3, pp.107-119.
  18. Chin, W.W., and P.A. Todd (1995) "On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution" MIS Quarterly 19(2), pp. 237-246.
  19. Chin, W.W., and A. Gopal (1995) "Adoption Intention in GSS Relative Importance of Beliefs" Data Base 26(2&3), pp. 42-63.
  20. Chismar, W.G., and S.W. Patton (2003) "Does the Extended Technology Acceptance Model Apply to Physicians" Proceedings of the 36 th Hawaii International Conference on System Sciences (HICSS).
  21. Claver, E., R. GonzaÂlez, and J. Llopis (2000) "An Analysis of Research in Information Systems (1981-1997)" Information & Management (37) 4, pp.181-195.
  22. Cook, T.D. (1991) "Meta-analysis: Its Potential for Causal Description and Causal Explanation within Program Evaluation" in G. Albrecht, H-U. Otto, S. Karstedt-Henke, and K. Bollert (eds.), (1991) Social Prevention and the Social Sciences Theoretical Controversies, Research Problems and Evaluation Strategies. New York, NY: Walter de Gruyter.
  23. Corner, M., and C. J. Armitage (1998) "Extending the Theory of Planned Behavior: A Review and Avenues for Further Research" Journal of Applied Social Psychology 28(15), pp.1429-1464.
  24. Davis, F.D. (1986) "Technology Acceptance Model for Empirically Testing New End-user Information Systems Theory and Results" Unpublished Doctoral Dissertation, MIT.
  25. Davis, F.D. (1993) "User Acceptance of Information Technology System Characteristics, User Perceptions and Behavioral Impacts" International Journal of Man-Machine Studies 38(3), pp. 475-487.
  26. Davis, F.D., R.P. Bagozzi, and P.R. Warshaw (1989) "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models" Management Science 35(8), pp.982-1003.
  27. Davis, F.D., and V. Venkatesh (1996) "A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments" International Journal of Human- Computer Studies 45(1), pp.19-45.
  28. Dennis, A., and R. Gallupe (1993) "A History of Group Support Systems: Empirical Research Lessons Learned and Future Directions" in Jessup, L.M. and J. S. Valacich (eds.), Group Support Systems New Perspectives New York, NY: Macmillan, pp. 59-77.
  29. Dillon, A., and M.G. Morris (1996) "User Acceptance of Information Technology Theories and Models" Annual Review of Information Science and Technology 31, pp. 3-32.
  30. Dishaw, M.T., and D.M. Strong (1999) "Extending the Technology Acceptance Model with Task- technology Fit Constructs" Information and Management 36(1), pp. 9-21.
  31. Doll, W.J., and M.U. Ahmed (1983) "Managing User Expectations" Journal of Systems Management 34(6), pp. 6-11.
  32. Doll, W.J., A. Hendrickson, and X. Deng (1998) "Using Davis's Perceived Usefulness and Ease- of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis" Decision Sciences 29(4), pp. 839-869.
  33. Feldman, J.M., and J. Lynch (1988) "Self-generated Validity and Other Effects of Measurement on Belief, Attitude, Intention and Behavior" Journal of Applied Psychology 73(3), pp. 421- 435.
  34. Featherman,M., and M. Fuller (2003) "Applying TAM to E-services Adoption: the Moderating Role of Perceived Risk" Proceedings of the 36 th Hawaii International Conference on System Sciences.
  35. Fenech, T. (1998) "Using Perceived Ease of Use and Perceived Usefulness to Predict Acceptance of the World Wide Web" Computer Networks and ISDN Systems 30, pp.629-630.
  36. Franz, C.R., and D. Robey (1986) "Organizational Context, User Involvement, and The Usefulness of Information Systems" Decision Sciences (17) 3, pp. 329-356.
  37. Gefen, D. (2000) "It Is Not Enough to Be Responsive: The Role of Cooperative Intentions in MRP II Adoption" Data Base 31(2), pp.65-79.
  38. Gefen, D., and M. Keil (1998) "The Impact of Developer Responsiveness on Perceptions of Usefulness and Ease of Use: An Extension of the Technology Acceptance Model" Data Base 29(2), pp.35-49.
  39. Gefen, D., and D.W. Straub (1997) "Gender Difference in the Perception and Use of E-mail: An Extension to the Technology Acceptance Model" MIS Quarterly 21(4), pp.389-400.
  40. Gefen, D., and D.W. Straub (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.
  41. Gopal, A., S.M. Miranda, B. P. Robichaux, and R. P. Bostrom (1997) "Leveraging Diversity with Information Technology: Gender, Attitude, and Intervening Influences in The Use of Group Support Systems" Small Group Research 28(1), pp. 29-71.
  42. Gould, J.D., S.J. Boies, and C. Lewis (1991) "Making Usable, Useful, Productivity-enhancing Computer Applications" Communications of the ACM 34(1), pp.74-85.
  43. Heijden, H. (2003) "Factors Influencing the Usage of Websites: The Case of a Generic Portal in The Netherlands" Information and Management 40, pp.541-549
  44. Hendrickson, A.R., and M.R. Collins (1996) "An Assessment of Structure and Causation of IS Usage" Data Base 27(2), pp.61-67.
  45. Hendrickson, A.R., and P.D. Latta (1996) "An Evaluation of the Reliability and Validity of Davis's Perceived Usefulness and Perceived Ease of Use Instrument" Journal of Computer Information Systems 36(3), pp.77-82.
  46. Hendrickson, A.R., P.D. Massey, and T.P. Cronan (1993) "On the Test-retest Reliability of Perceived Usefulness and Perceived Ease of Use Scales" MIS Quarterly 17(2), pp.227-230.
  47. Hong, W. J.Y.L. Thong, W. M. Wang, and K.Y. Tam (2001) "Determinants of User Acceptance of Digital Libraries: An Empirical Examination of Individual Differences and System Characteristics" Journal of Management Information Systems 18(3), pp.97-124
  48. Hubona, G.S., and P. H. Cheney (1994) "System Effectiveness of Knowledge-Based Technology: The Relationship of User Performance and Attitudinal Measures" Proceedings of the Twenty- seventh Annual Hawaii International Conference on System Sciences (HICSS-27), pp. 532- 541.
  49. Hwang, M.I., and B.J.P. Wu (1990) "The Effectiveness of Computer Graphics for Decision Support: A Meta-analytical Integration of Research Findings" The Data Base for Advanced in Information Systems (21), pp. 11-20.
  50. Igbaria, M., T. Guimaraes, and G.B. Davis (1995a) "Testing the Determinants of Microcomputer Usage Via a Structural Equation Model" Journal of Management Information Systems 11(4), pp. 87-114
  51. Igbaria, M., and J. Iivari (1995) "The Effects of Self-efficacy on Computer Usage" Omega 23(6), pp.587-605.
  52. Igbaria, M., J. Iivari, and H. Maragahh (1995b) "Why do Individuals Use Computer Technology? A Finnish Case Study" Information & Management 29(5), pp. 227-238.
  53. Igbaria, M., S. Parasuraman, and J.J. Baroudi (1996) "A Motivational Model of Microcomputer Usage" Journal of Management Information Systems 13(1), pp.127-143
  54. Igbaria, M., N. Zinatelli, P. Cragg, and A.L.M. Cavaye (1997)" Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model" MIS Quarterly 21(3), pp.279-305.
  55. Jackson, C.M., S. Chow, and R.A. Leitch (1997) "Toward an Understanding of the Behavioral Intention to Use an Information System" Decision Sciences 28(2), pp.357-389.
  56. Jarvenpaa, S. L., G.W. Dickson, and G. DeSanctis (1985) "Methodological Issues in Experimental IS Research Experiences and Recommendations" MIS Quarterly 9(2), pp.141- 156.
  57. Karahanna, E., D.W. Straub, and N.L. Chervany (1999a) "Information Technology Adoption across Time: A Cross-sectional Comparison of Pre-adoption and Post-adoption Beliefs" MIS Quarterly 23(2), pp.183-213.
  58. Karahanna, E., and D.W. Straub (1999b) "The Psychological Origins of Perceived Usefulness and Ease-of-use" Information and Management 35(4), pp.237-250.
  59. Karahanna, E., and M. Limayem (2000) "E-mail and V-mail usage: Generalizing across Technologies" Journal of Organizational Computing and Electronic Commerce 10(1), pp.49- 66.
  60. Keil, M., P.M., Beranek, and B.R. Konsynski (1995) "Usefulness and Ease of Use: Field Study Evidence Regarding Task Considerations" Decision Support Systems 13(1), pp.75-91.
  61. Koufaris, M. (2002) "Applying the Technology Acceptance Model and Flow Theory to Online Customer Behavior" Information Systems Research 13(2), pp.205-223.
  62. Kwon, H.S., and L. Chidambaram (2000) "A Test of the Technology Acceptance Model-The Case of Cellular Telephone Adoption" Proceedings of the 33 rd Hawaii International Conference on System Sciences.
  63. Kwon, T.H., and R. W. Zmud (1987) "Unifying the Fragmented Models of Information Systems Implementation" in Boland, R.J. and R.A. Hirschheim (eds.), Critical Issues in Information Systems Research, New York, NY: John Wiley and Sons.
  64. Lederer, A.L., D.J. Maupin, M.P. Sena, and Y. Zhuang (2000) "The Technology Acceptance Model and the World Wide Web" Decision Support Systems 29(3), pp.269-282.
  65. Lee, A.S. (1991) "Integrating Positivist and Interpretive Approaches to Organizational Research" Organization Science (2) 4, pp. 342-365.
  66. Lee, D., J. Park, and J. Ahn (2001) "On the Explanation of Factors Affecting E-commerce Adoption" Proceedings of the 22 nd International Conference on Information Systems, pp.109- 120.
  67. Lee, Y., Lee, J., and Lee, Z. (2001) "The Effect of Self-identity and Social-identify on Technology Acceptance" Proceedings of the International Conference on Information Systems (ICIS).
  68. Legris, P., J. Ingham, and P. Collerette (2003) "Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model" Information & Management (40), pp.191-204.
  69. Liao, Z., and R. Landry (2000) "An Empirical Study on Organizational Acceptance of New Information Systems in a Commercial Bank Environment" Proceedings of the 33 rd Hawaii International Conference on System Sciences.
  70. Lou, H., W. Luo, and D. Strong (2000) "Perceived Critical Mass Effect on Groupware Acceptance" European Journal of Information Systems 9(2), pp.91-103.
  71. Lu, H., and H. Gustafson (1994) "An Empirical Study of Perceived Usefulness and Perceived Ease of Use on Computerized Support System Use over Time" International Journal of Information Management 14(5), pp.317-329.
  72. Lu, H., H. Yu, and S.S.K. Lu (2001) "The Effects of Cognitive Style and Model Type on DSS Acceptance: An Empirical Study" European Journal of Operational Research 13(1), pp.649- 663.
  73. Lucas, H.C., and V.K. Spitler (1999) "Technology Use and Performance: A Field Study of Broker Workstations" Decision Sciences 30(2), pp.291-311.
  74. Lucas, H.C., and V.K. Spitler (2000) "Implementation in a World of Workstations and Networks" Information and Management 38(2), pp.119-128.
  75. The Technology Acceptance Model: Past, Present, and Future by Y. Lee, K.A. Kozar, and K.R.T. Larsen Mahmood, M.A., L. Hall, L., and D. L. Swanberg (2001) "Factors Affecting Information Technology Usage: A Meta-analysis of The Empirical Literature" Journal of Organizational Computing and Electronic Commerce, 11(2), pp.107-130.
  76. Malhotra, Y., and D.F. Galletta (1999) "Extending the Technology Acceptance Model to Account for Social Influence Theoretical Bases and Empirical Validation" Proceedings of the 32 nd Hawaii International Conference on System Sciences.
  77. Markus, M., and N. Bjorn-Anderson (1987) "Power Over Users: Its Exercise by System Professionals" Communications of the ACM 30 (6), pp. 498-505.
  78. Martins,L.L, and F.W. Kellermanns (2001) "User Acceptance of a Web-based Information System in a Non-voluntary Context" Proceedings of the 22 nd International Conference on Information Systems, pp. 607-612.
  79. Mathieson, K. (1991) "Predicting User Intentions Comparing the Technology Acceptance Model with the Theory of Planned Behavior" Information Systems Research 2(3), pp.173-191.
  80. Montazemi, A.R., D.A. Cameron, and K.M. Gupta (1996) "An Empirical Study of Factors Affecting Software Package Selection" Journal of Management Information Systems 13(1), pp.89-105.
  81. Moon, J., and Y. Kim (2001) "Extending the TAM for a World-Wide-Web Context" Information and Management 38(4), pp.217-230.
  82. Orne, M.T. (1979) "On the Social Psychology of The Psychological Experiment" in Mowday, R. T. and R.M. Steers (eds.), Research in Organizations Issues and Controversies, Santa Monica, CA.: Goodyear Publishing Company, Inc.
  83. Plouffe,C.R., J.S. Hulland, and M. Vandenbosch (2001) "Richness versus Parsimony in Modeling Technology Adoption Decisions-Understanding Merchant Adoption of a Smart Card-based Payment Systems" Information Systems Research 12(2), pp.208-222.
  84. Premkumar, G., and M. Potter (1995) "Adoption of Computer Aided Software Engineering (CASE) Technology: An Innovation Adoption Perspective" Data Base 26 (2&3), pp. 105-124.
  85. Rawstorne, P., R. Jayasuriya, and P. Caputi (2000) "Issues in Predicting and Explaining Usage Behaviors with the Technology Acceptance Model and the Theory of Planned Behavior: When Usage is Mandatory" Proceedings of the 21 st International Conference on Information Systems, pp. 35-44.
  86. Ridings, C.M., and D. Gefen (2000) "Applying TAM to a Parallel Systems Conversation Strategy" Journal of Information Technology Theory and Application 2(2).
  87. Riemenschneider,C.K., D.A. Harrision, and P.P. Mykytyn (2003) "Understanding IT Adoption Decisions in Small Business: Integrating Current Theories" Information and Management 40, pp.269-285.
  88. Roberston, D.S. (1989) "Social Determinants of Information System Use" Journal of Management Information Systems 5(4), pp. 55-71.
  89. Rogers, E.M. (1983) Diffusion of Innovations New York, NY: The Free Press.
  90. Sambamurthy, V., and W.W. Chin (1994) "The Effects of Group Attitudes toward Alternative GDSS Designs on the Decision-making Performance of Computer-Supported Groups" Decision Sciences 25(2), pp. 215-241.
  91. Segars, A.H., and V. Grover (1993) "Re-examining Perceived Ease of Use and Usefulness: A Confirmatory Factor Analysis" MIS Quarterly 17(4), pp.517-525.
  92. Sheppard, B.H., J. Hartwick, and P. R. Warshaw (1988) "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research" Journal of Consumer Research 15(3), pp. 325-343.
  93. Straub, D.W. (1989) "Validating Instruments in MIS Research" MIS Quarterly (13)2, pp.147-166.
  94. Straub, D.W. (1994) "The Effect of Culture on IT Diffusion E-mail and FAX in Japan and the U.S." Information Systems Research 5(1), pp.23-47.
  95. The Technology Acceptance Model: Past, Present, and Future by Y. Lee, K.A. Kozar, and K.R.T. Larsen Straub, D.W., M. Keil, and W. Brenner (1997) "Testing the Technology Acceptance Model across Cultures: A Three Country Study" Information & Management 33(1), pp.1-11.
  96. Straub, D., M. Limayem, and E. Karahanna (1995) "Measuring System Usage Implications for IS Theory Testing" Management Science 41(8), pp.1328-1342.
  97. Subramanian, G.H. (1994) "A Replication of Perceived Usefulness and Perceived Ease of Use Measurement" Decision Sciences 25(5/6), pp.863-874.
  98. Suomi, R. (1993) "On the Nationality Balance of Authors and References in Selected MIS Journals" Information & Management 24(6), pp. 339-347.
  99. Sussman,S.W., and W.S. Siegal (2003) "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption" Information Systems Research 14(1), pp. 47-65.
  100. Szajna, B. (1994) "Software Evaluation and Choice Predictive Validation of the Technology Acceptance Instrument" MIS Quarterly 18(3), pp.319-324.
  101. Teo, T.S.H., V.K.G. Lim, and R.Y.C. Lai(1999) "Intrinsic and Extrinsic Motivation in Internet Usage" Omega 27, pp.25-37.
  102. Thompson, R.L., C.A. Higgins, and J.M. Howell(1991) "Personal Computing Toward a Conceptual Model of Utilization" MIS Quarterly 15(1), pp.125-143.
  103. Trice, A.W., and M. E. Treacy (1986) "Utilization as a Dependent Variable in MIS Research" in the Proceedings of the 7th International Conference on Information Systems (ICIS), pp. 227- 239.
  104. Venkatesh, V. (1999) "Creation of Favorable User Perceptions Exploring the Role of Intrinsic Motivation" MIS Quarterly 23(2), pp.239-260.
  105. Venkatesh, V., and S. Brown (2001) "A Longitudinal Investigation of Personal Computers in Homes: Adoption Determinants and Emerging Challenges" MIS Quarterly 25(1), pp.71-102.
  106. Venkatesh, V., and F.D. Davis (1994) "Modeling the Determinants of Perceived Ease of Use" Proceedings of the 15 th International Conference on Information Systems, pp. 213-227.
  107. Venkatesh, V., and F.D. Davis (1996) "A Model of the Antecedents of Perceived Ease of Use Development and Test" Decision Sciences 27(3), pp.451-481.
  108. Venkatesh, V., and F.D. Davis (2000) "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies" Management Science 46(2), pp. 186-204.
  109. Venkatesh, V., and M.G. Morris (2000) "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), pp.115-139.
  110. Venkatesh, V., and C. Speier (1999) "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood" Organizational Behavior and Human Decision Processes 79(1), pp.1-28.
  111. Venkatesh, V., and C. Speier (2000) "Creating an Effective Training Environment for Enhancing Telework" International Journal of Human Computer Studies 52(6), pp. 991-1005.
  112. Vreede, G.D., N. Jones., and R.J. Mgaya (1999) "Exploring the Application and Acceptance of Group Support Systems in Africa" Journal of Management Information Systems 15(3), pp.197-234.
  113. The Technology Acceptance Model: Past, Present, and Future by Y. Lee, K.A. Kozar, and K.R.T. Larsen Davis, F.D. 1993 User acceptance of information technology system characteristics, user perceptions and behavioral impacts Int'l Journal of Man- Machine Studies 38(3) 475-487
  114. Davis, F.D., V. Venkatesh 1996 A critical assessment of potential measurement biases in the technology acceptance model: three experiments Int'l Journal of Human-Computer Studies 45(1) 19-45
  115. Legris,P., J. Ingham, P. Collerette 2003 Why do people use information technology? A critical review of the technology acceptance model I&M (40) 191-204
  116. Lou, H., W. Luo, D. Strong 2000 Perceived critical mass effect on groupware acceptance European Journal of Information Systems 9(2) 91-103
  117. Lu, H., H. Gustafson 1994 An empirical study of perceived usefulness and perceived ease of use on computerized support system use over time Int'l Journal of Information Management 14(5) 317-329
  118. Lu, H., H. Yu, S.S.K. Lu 2001 The effects of cognitive style and model type on DSS acceptance: An empirical study European Journal of Operational Research 13(1) 649-663

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Authors
Lee, Y., Kozar, K. A., & Larsen, K. R. T.
Affiliations
University of Leeds (GB)
Venue
Communications of the Association for Information Systems
Published
2003
Volume
12
ISSN
1529-3181 (ISSN-L)
OpenAlex
W1543266722
Cited by
2,572
References
22
Citations by year
2026: 62 · 2025: 129 · 2024: 144 · 2023: 189 · 2022: 191 · 2021: 231 · 2020: 171 · 2019: 119 · 2018: 119 · 2017: 99 · 2016: 110 · 2015: 136 · 2014: 124 · 2013: 146 · 2012: 130
FWCI
34.27
Type
journal article
Language
en
Open access
Locations
  • Communications of the Association for Information Systems (publishedVersion)
  • Journal of the Association for Information Systems (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
Keywords
technology acceptance model, information systems research, technology adoption

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