The Evolution of Technology Acceptance Theories
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Oct 28, 2020
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Abstract
Technology acceptance has become one of the most significant subjects in software engineering field. Many theories and models have been proposed over the years to explain the individuals’ usage behavior towards technologies. This research paper focuses on the evolution of the technology acceptance theories and models by reviewing and comparing them. This study reviews a group of ten technology acceptance theories that were analyzed and arraigned according to their chronological order of evolution. This study reveals that these theories and models are similar in their structure, but different in their explanation for the behavior and usage. It considers that the best theory should be comprehensive and less complexity according to the number of the constructs and moderators represent their structure. This will make the theory more applicable and understandable especially for studying the acceptance behavior for any new technology or information system.
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Artificial intelligence
References
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[10] F. D. Davis, “A Technology Acceptance Model for Empirical Testing New End-User Information System: Theory and Results,” Massachusetts Institute of Technology, 1986.
[11] S. Taylor and P. A. Todd, “Assessing IT Usage: The Role of Prior Experience,” MIS Q., vol. 19, no. 4, pp. 561–570, 1995.
[12] 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.
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[14] 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.
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[17] F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989.
[18] R. L. Thompson, C. A. Higgins, and J. M. Howell, “Personal Computing: Toward a Conceptual Model of Utilization,” MIS Q., vol. 15, no. 1, pp. 125–143, 1991.
[19] G. C. Moore and I. Benbasat, “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Inf. Syst. Res., vol. 2, no. 3, pp. 192 – 222, 1991.
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[23] R. Safeena, H. Date, N. Hundewale, and A. Kammani, “Combination of TAM and TPB in Internet Banking Adoption,” Int. J. Comput. Theory Eng., vol. 5, no. 1, pp. 146–150, 2013.
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[28] E. L. Deci, R. J. Vallerand, L. G. Pelletier, and R. M. Ryan, “Motivation and Education: The Self-Determination Perspective,” Educ. Psychol., vol. 26, no. 3 & 4, pp. 325–346, 1991.
[29] V. Venkatesh and C. Speier, “Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood,” Organ. Behav. Hum. Decis. Process., vol. 79, no. 1, pp. 1–28, 1999.
[30] C. Koo, N. Chung, and K. Nam, “Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives,” Int. J. Inf. Manage., vol. 35, no. 1, pp. 64–79, 2015.
[31] A. Bandura, “Social Cognitive Theory,” in Annals of Child Development, vol. 6, I. R. Vasta, Ed. Greenwich, CT: JAI Press, 1989, pp. 1–60.
[32] D. R. Compeau and C. A. Higgins, “Application of Social Cognitive Theory to Training for Computer Skills,” Inf. Syst. Res., vol. 6, no. 2, pp. 118–143, 1995.
[33] D. R. Compeau, C. A. Higgins, and S. Huff, “Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study,” MIS Q., vol. 23, no. 2, pp. 145–158, 1999.
[34] A. Weeger and H. Gewald, “Examining Social and Cognitive Aspects Determining Physician’s Adoption of Electronic Medical Records,” in Proceedings of the 21st European Conference on Information Systems, 2013, pp. 1–14.
[35] M. Qingfei, J. Shaobo, and Q. Gang, “Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model,” Tsinghua Sci. Technol., vol. 13, no. 3, pp. 257–264, 2008.
[36] B. H. Sheppard, J. Hartwick, and P. R. Warshaw, “The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research,” J. Consum. Res., vol. 15, no. 3, pp. 325–343, 1998.
[37] P. M. Silva and G. A. Dias, “Theories About Technology Acceptance: Why The Users Accept or Reject the Information Technology?,” Brazilian J. Inf. Sci., vol. 1, no. 2, pp. 69–86, 2007.
[38] Y. Truong, “An Evaluation of the Theory of Planned Behaviour in Consumer Acceptance of Online Video and Television Services,” Electron. J. Inf. Syst. Eval., vol. 12, no. 2, pp. 177–186, 2009.
[39] I. Moons and P. De Pelsmacker, “An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison,” Sustainability, vol. 7, no. 5, pp. 6212–6245, 2015.
[40] Y.-Y. Shih and K. Fang, “The Use of a Decomposed Theory of Planned Behavior to Study Internet Banking in Taiwan,” Internet Res., vol. 14, no. 3, pp. 213–223, 2004.
[41] P. Legris, J. Ingham, and P. Collerette, “Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model,” J. Inf. Manag., vol. 40, pp. 191–204, 2003.
[42] M. Y. Chuttur, “Overview of the Technology Acceptance Model: Origins, Developments and Future Directions,” USA, 2009.
[43] P. Surendran, “Technology Acceptance Model: A Survey of Literature,” Int. J. Bus. Soc. Res., vol. 2, no. 4, pp. 175–178, 2012.
[44] C. Chen, “The Exploration on Network Behaviors by Using the Models of Theory of Planned Behaviors (TPB), Technology acceptance Model (TAM) and C-TAM-TPB,” African J. Bus. Manag., vol. 7, no. 30, pp. 2976–2984, 2013.
[45] W. Jen, T. Lu, and P. Liu, “An Integrated Analysis of Technology Acceptance Behaviour Models: Comparison of Three Major Models,” MIS Rev., vol. 15, no. 1, pp. 89–121, 2009.
[46] R. Sharma and R. Mishra, “A Review of Evolution of Theories and Models of Technology Adoption,” Indore Manag. J., vol. 6, no. 2, pp. 17–29, 2014.
[47] G. D. M. N. Samaradiwakara and C. G. Gunawardena, “Comparison of Existing Technology Acceptance Theories and Models to Suggest a Well Improved Theory/Model,” Int. Tech. Sci. J., vol. 1, no. 1, pp. 21–36, 2014.
[48] D. Askarany, J. A. Brierley, and H. Yazdifar, “The Effect of Innovation Characteristics on Activity-based Costing Adoption,” Int. J. Manag. Financ. Account., vol. 4, no. 3, 2012.
[49] M. Abdul Hameed, S. Counsell, and S. Swift, “A Conceptual Model for the Process of IT Innovation Adoption in Organizations,” J. Eng. Technol. Manag., vol. 29, pp. 358–390, 2012.
[50] E. Karahanna, D. W. Straub, and N. L. Chervany, “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs,” MIS Q., vol. 23, no. 2, pp. 183–213, 1999.
[51] T. Oliveira and M. F. Martins, “Literature Review of Information Technology Adoption Models at Firm Level,” Electron. J. Inf. Syst. Eval., vol. 14, no. 1, pp. 110–121, 2011.
[52] E. L. Deci and R. M. Ryan, “Self-Determination Theory: A Macrotheory of Human Motivation, Development, and Health,” Can. Psychol. J., vol. 49, no. 3, pp. 182–185, 2008.
[53] R. M. Ryan and E. L. Deci, “Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being,” Am. Psychol., vol. 55, no. 1, pp. 68–78, 2000.
[54] P. Parijat and S. Bagga, “Victor Vroom’s Expectancy Theory of Motivation – An Evaluation,” Int. Res. J. Bus. Manag., vol. 7, no. 9, 2014.
[55] R. J. Vallerand, L. G. Pelletier, and R. Koestner, “Reflections on Self-Determination Theory,” Can. Psychol. J., vol. 49, no. 3, pp. 257–262, 2008.
[56] M. Gagne and E. L. Deci, “Self-Determination Theory and Work Motivation,” J. Organ. Behav., vol. 26, pp. 331–362, 2005.
[57] M. Conner and P. Norman, Predicting Health Behaviour, 2nd ed. Open University Press, 2005.
[58] C. J. Armitage and M. Conner, “Efficacy of The Theory of Planned Behaviour: A Meta-analytic Review,” Br. J. Soc. Psychol., vol. 40, no. 4, pp. 471–499, 2001.
[2] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Manage. Sci., vol. 35, no. 8, pp. 982–1003, 1989.
[3] M. Fishbein and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, 1975.
[4] H. C. Triandis, “Values, attitudes, and interpersonal behavior,” Nebraska Symp. Motiv., vol. 27, pp. 195–259, 1979.
[5] I. Ajzen and M. Fishbein, Understanding Attitudes and Predicting Social Behavior, 1st ed. Englewood Cliffs, NJ: Pearson, 1980.
[6] E. M. Rogers, Diffusion of Innovations, 3rd ed. The Free Press, 1983.
[7] I. Ajzen, “From Intentions to Actions: A Theory of Planned Behaviour,” in Action Control, J. Kuhl and J. Beckmann, Eds. Springer-Verlag Berlin Heidelberg, 1985, pp. 11–39.
[8] E. L. Deci and R. M. Ryan, Intrinsic Motivation and Self-Determination in Human Behavior, 1st ed. Plenum Press, 1985.
[9] A. Bandura, Social Foundations of Thought and Action: A Social Cognitive Theory, 1st ed. Englewood Cliffs, NJ: Prentice Hall, 1986.
[10] F. D. Davis, “A Technology Acceptance Model for Empirical Testing New End-User Information System: Theory and Results,” Massachusetts Institute of Technology, 1986.
[11] S. Taylor and P. A. Todd, “Assessing IT Usage: The Role of Prior Experience,” MIS Q., vol. 19, no. 4, pp. 561–570, 1995.
[12] 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.
[13] V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Q., vol. 27, no. 3, pp. 425–478, 2003.
[14] 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.
[15] I. Ajzen, “Theory of Planned Behaviour,” Theory of Planned Behaviour, 2006. [Online]. Available: http://www.people.umass.edu/aizen/tpb.diag.html. [Accessed: 29-Nov-2015].
[16] I. Ajzen, “The Theory of Planned Behavior,” Organ. Behav. Hum. Decis. Process., vol. 50, no. 2, pp. 179–211, 1991.
[17] F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989.
[18] R. L. Thompson, C. A. Higgins, and J. M. Howell, “Personal Computing: Toward a Conceptual Model of Utilization,” MIS Q., vol. 15, no. 1, pp. 125–143, 1991.
[19] G. C. Moore and I. Benbasat, “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Inf. Syst. Res., vol. 2, no. 3, pp. 192 – 222, 1991.
[20] F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,” J. Appl. Soc. Psychol., vol. 22, no. 14, pp. 1111–1132, 1992.
[21] D. R. Compeau and C. A. Higgins, “Computer Self-Efficacy: Development of a Measure and Initial Test,” MIS Q., vol. 19, no. 2, pp. 189–211, 1995.
[22] S. Taylor and P. A. Todd, “Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions,” Int. J. Res. Mark., vol. 12, no. 2, pp. 137–155, 1995.
[23] R. Safeena, H. Date, N. Hundewale, and A. Kammani, “Combination of TAM and TPB in Internet Banking Adoption,” Int. J. Comput. Theory Eng., vol. 5, no. 1, pp. 146–150, 2013.
[24] L. G. Tornatzky and K. J. Klein, “Innovation Characteristics and Innovation Adoption-Implementation: A Meta-Analysis of Findings,” IEEE Trans. Eng. Manag. EM, vol. 29, no. 1, pp. 28–45, 1982.
[25] E. M. Rogers, Diffusion of Innovations, 5th ed. New York: Free Press, 2003.
[26] R. G. Fichman, “Information Technology Diffusion: A Review of Empirical Research,” in ICIS ’92 Proceedings of the thirteenth international conference on Information systems, 1992, no. June.
[27] E. P. Udeh, “Exploring User Acceptance of Free Wireless Fidelity Public Hot Spots: An Empirical Study,” An Interdiscip. J. Humans ICT Environ., vol. 4, no. 2, pp. 144–168, 2008.
[28] E. L. Deci, R. J. Vallerand, L. G. Pelletier, and R. M. Ryan, “Motivation and Education: The Self-Determination Perspective,” Educ. Psychol., vol. 26, no. 3 & 4, pp. 325–346, 1991.
[29] V. Venkatesh and C. Speier, “Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood,” Organ. Behav. Hum. Decis. Process., vol. 79, no. 1, pp. 1–28, 1999.
[30] C. Koo, N. Chung, and K. Nam, “Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives,” Int. J. Inf. Manage., vol. 35, no. 1, pp. 64–79, 2015.
[31] A. Bandura, “Social Cognitive Theory,” in Annals of Child Development, vol. 6, I. R. Vasta, Ed. Greenwich, CT: JAI Press, 1989, pp. 1–60.
[32] D. R. Compeau and C. A. Higgins, “Application of Social Cognitive Theory to Training for Computer Skills,” Inf. Syst. Res., vol. 6, no. 2, pp. 118–143, 1995.
[33] D. R. Compeau, C. A. Higgins, and S. Huff, “Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study,” MIS Q., vol. 23, no. 2, pp. 145–158, 1999.
[34] A. Weeger and H. Gewald, “Examining Social and Cognitive Aspects Determining Physician’s Adoption of Electronic Medical Records,” in Proceedings of the 21st European Conference on Information Systems, 2013, pp. 1–14.
[35] M. Qingfei, J. Shaobo, and Q. Gang, “Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model,” Tsinghua Sci. Technol., vol. 13, no. 3, pp. 257–264, 2008.
[36] B. H. Sheppard, J. Hartwick, and P. R. Warshaw, “The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research,” J. Consum. Res., vol. 15, no. 3, pp. 325–343, 1998.
[37] P. M. Silva and G. A. Dias, “Theories About Technology Acceptance: Why The Users Accept or Reject the Information Technology?,” Brazilian J. Inf. Sci., vol. 1, no. 2, pp. 69–86, 2007.
[38] Y. Truong, “An Evaluation of the Theory of Planned Behaviour in Consumer Acceptance of Online Video and Television Services,” Electron. J. Inf. Syst. Eval., vol. 12, no. 2, pp. 177–186, 2009.
[39] I. Moons and P. De Pelsmacker, “An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison,” Sustainability, vol. 7, no. 5, pp. 6212–6245, 2015.
[40] Y.-Y. Shih and K. Fang, “The Use of a Decomposed Theory of Planned Behavior to Study Internet Banking in Taiwan,” Internet Res., vol. 14, no. 3, pp. 213–223, 2004.
[41] P. Legris, J. Ingham, and P. Collerette, “Why Do People Use Information Technology? A Critical Review of the Technology Acceptance Model,” J. Inf. Manag., vol. 40, pp. 191–204, 2003.
[42] M. Y. Chuttur, “Overview of the Technology Acceptance Model: Origins, Developments and Future Directions,” USA, 2009.
[43] P. Surendran, “Technology Acceptance Model: A Survey of Literature,” Int. J. Bus. Soc. Res., vol. 2, no. 4, pp. 175–178, 2012.
[44] C. Chen, “The Exploration on Network Behaviors by Using the Models of Theory of Planned Behaviors (TPB), Technology acceptance Model (TAM) and C-TAM-TPB,” African J. Bus. Manag., vol. 7, no. 30, pp. 2976–2984, 2013.
[45] W. Jen, T. Lu, and P. Liu, “An Integrated Analysis of Technology Acceptance Behaviour Models: Comparison of Three Major Models,” MIS Rev., vol. 15, no. 1, pp. 89–121, 2009.
[46] R. Sharma and R. Mishra, “A Review of Evolution of Theories and Models of Technology Adoption,” Indore Manag. J., vol. 6, no. 2, pp. 17–29, 2014.
[47] G. D. M. N. Samaradiwakara and C. G. Gunawardena, “Comparison of Existing Technology Acceptance Theories and Models to Suggest a Well Improved Theory/Model,” Int. Tech. Sci. J., vol. 1, no. 1, pp. 21–36, 2014.
[48] D. Askarany, J. A. Brierley, and H. Yazdifar, “The Effect of Innovation Characteristics on Activity-based Costing Adoption,” Int. J. Manag. Financ. Account., vol. 4, no. 3, 2012.
[49] M. Abdul Hameed, S. Counsell, and S. Swift, “A Conceptual Model for the Process of IT Innovation Adoption in Organizations,” J. Eng. Technol. Manag., vol. 29, pp. 358–390, 2012.
[50] E. Karahanna, D. W. Straub, and N. L. Chervany, “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs,” MIS Q., vol. 23, no. 2, pp. 183–213, 1999.
[51] T. Oliveira and M. F. Martins, “Literature Review of Information Technology Adoption Models at Firm Level,” Electron. J. Inf. Syst. Eval., vol. 14, no. 1, pp. 110–121, 2011.
[52] E. L. Deci and R. M. Ryan, “Self-Determination Theory: A Macrotheory of Human Motivation, Development, and Health,” Can. Psychol. J., vol. 49, no. 3, pp. 182–185, 2008.
[53] R. M. Ryan and E. L. Deci, “Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being,” Am. Psychol., vol. 55, no. 1, pp. 68–78, 2000.
[54] P. Parijat and S. Bagga, “Victor Vroom’s Expectancy Theory of Motivation – An Evaluation,” Int. Res. J. Bus. Manag., vol. 7, no. 9, 2014.
[55] R. J. Vallerand, L. G. Pelletier, and R. Koestner, “Reflections on Self-Determination Theory,” Can. Psychol. J., vol. 49, no. 3, pp. 257–262, 2008.
[56] M. Gagne and E. L. Deci, “Self-Determination Theory and Work Motivation,” J. Organ. Behav., vol. 26, pp. 331–362, 2005.
[57] M. Conner and P. Norman, Predicting Health Behaviour, 2nd ed. Open University Press, 2005.
[58] C. J. Armitage and M. Conner, “Efficacy of The Theory of Planned Behaviour: A Meta-analytic Review,” Br. J. Soc. Psychol., vol. 40, no. 4, pp. 471–499, 2001.