Technology acceptance model: a literature review from 1986 to 2013

Universal Access in the Information Society

Volumn 14, Issue 1, 2015, Pages 81-95

  Marangunić, Nikola ^a   Granić, Andrina ^a  

^a UNIVERSITY OF SPLIT   (Croatia)

Author keywords

Development and extension; Literature review; Modification and application; Technology acceptance model (TAM)

Indexed keywords

CURRENT REFERENCE; DEVELOPMENT AND EXTENSION; LITERATURE REVIEWS; PSYCHOLOGICAL THEORY; SCIENTIFIC PUBLICATIONS; TECHNOLOGY ACCEPTANCE; TECHNOLOGY ACCEPTANCE MODEL; THEORY OF PLANNED BEHAVIOR;

BEHAVIORAL RESEARCH;

EID: 84924220879     PISSN: 16155289     EISSN: 16155297     Source Type: Journal    
DOI: 10.1007/s10209-014-0348-1     Document Type: Article

References (95)

1. Agarwal, R., Prasad, J.: The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decis. Sci. 28(3), 557–582 (1997)
2. Ajzen, I.: From intentions to actions: a theory of planned behavior. In: Kuhl, J., Beckmann, J. (eds.) Action Control: From Cognition to Behavior. Springer, New York (1985)
3. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)
4. Ajzen, I., Fishbein, M.: Understanding Attitudes and Predicting Social Behavior. Prentice Hall, Englewood Cliffs (1980)
5. Amoako-Gyampah, K.: Perceived usefulness, user involvement and behavioral intention: an empirical study of ERP implementation. Comput. Hum. Behav. 23, 1232–1248 (2007)
6. Amoako-Gyampah, K., Salam, A.F.: An extension of the technology acceptance model in an ERP implementation environment. Inf. Manag. 41(6), 731–745 (2004)
7. Arning, K., Ziefle, M.: Understanding age differences in PDA acceptance and performance. Comput. Hum. Behav. 23, 2904–2927 (2007)
8. Barki, H., Hartwick, J.: User participation, conflict, and conflict resolution: the mediation roles of influence. Inf. Syst. Res. 5(4), 422–438 (1994)
9. Brown, S.A., Massey, A.P., Montoya-Weiss, M.M., Burkman, J.R.: Do I really have to? User acceptance of mandated technology. Eur. J. Inf. Syst. 11(4), 283–295 (2002)
10. Burton-Jones, A., Hubona, G.S.: The mediation of external variables in the technology acceptance model. Inf. Manag. 43, 706–717 (2006)
11. Castaneda, J.A., Munoz-Leiva, F., Luque, T.: Web acceptance model (WAM): moderating effects of user experience. Inf. Manag. 44, 384–396 (2007)
12. Chan, S., Lu, M.: Understanding internet banking adoption and use behavior: a Hong Kong perspective. J. Glob. Inf. Manag. 12(3), 21–43 (2004)
13. Charness, N., Boot, W.R.: Aging and information technology use: potential and barriers. Curr. Dir. Psychol. Sci. 18(5), 253–258 (2010)
14. Chau, P.Y.K.: An empirical investigation on factors affecting the acceptance of CASE by systems developers. Inf. Manag. 30, 269–280 (1996)
15. Chau, P.Y.K., Hu, P.: Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manag. 39(4), 297–311 (2002)
16. Cheung, R., Vogel, D.: Predicting user acceptance of collaborative technologies: an extension of the technology acceptance model for e-learning. Comput. Educ. 63, 160–175 (2013)
17. Chiou, W.-C., Lin, C–.C., Perng, C.: A strategic framework for website evaluation based on a review of the literature from 1995–2006. Inf. Manag. 47, 282–290 (2010)
18. Chow, M., Herold, D.K., Choo, T.-M., Chan, K.: Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Comput. Educ. 59, 1136–1144 (2012)
19. Chuttur, M.Y. (2009). Overview of the technology acceptance model: origins, developments and future directions. Sprouts: Working Papers on Information Systems, vol. 9, no. 37, pp. 1–21. Indiana University, USA
20. Davis, F.D. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation. MIT Sloan School of Management, Cambridge, MA
21. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–339 (1989)
22. Davis, F.D.: User acceptance of computer technology: system characteristics, user perceptions. Int. J. Man Mach. Stud. 38(3), 475–487 (1993)
23. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)
24. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 11–32 (1992)
25. Davis, F.D., Venkatesh, V.: A critical assessment of potential measurement biases in the technology acceptance model: three experiments. Int. J. Hum Comput Stud. 45(1), 19–45 (1996)
26. Davis, F.D., Venkatesh, V.: Toward preprototype user acceptance testing of new information systems: implications for software project management. IEEE Trans. Eng. Manag. 51(1), 31–46 (2004)
27. Dishaw, M.T., Strong, D.M.: Extending the technology acceptance model with task-technology fit constructs. Inf. Manag. 36, 9–21 (1999)
28. Farahat, T.: Applying the technology acceptance model to online learning in the Egyptian Universities. Procedia Soc. Behav Sci 64, 95–104 (2012)
29. Featherman, M.S., Pavlou, P.A.: Predicting E-services adoption: a perceived risk facets perspective. Int. J. Hum. Comput. Stud. 59(4), 451–474 (2003)
30. Gefen, D.: What makes an ERP implementation relationship worthwhile: linking trust mechanisms and ERP usefulness. J. Manag. Inf. Syst. 21(1), 263–288 (2004)
31. Gefen, D., Karahanna, E., Straub, D.W.: Inexperience and experience with online stores: the importance of TAM and trust. IEEE Trans. Eng. Manag. 50(3), 307–321 (2003)
32. Gefen, D., Straub, D.W.: Gender difference in the perception and use of E-mail: an extension to the technology acceptance model. MIS Q. 21(4), 389–400 (1997)
33. Gong, M., Xu, Y., Yu, Y.: An enhanced technology acceptance model for web-based learning. J. Inf. Syst. Educ. 15(4), 365–374 (2004)
34. Gumussoy, C.A., Calisir, F., Bayram, A.: Understanding the behavioral intention to use ERP systems: an extended technology acceptance model. In: Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, pp. 2024–2030 (2007)
35. Hardgrave, B.C., Davis, F.D., Riemenschneider, C.K.: Investigating determinants of software developers’ intentions to follow methodologies. J. Manag. Inf. Syst. 20(1), 123–151 (2003)
36. Hong, W., Thong, J.Y.L., Wong, W., Tam, K.: Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics. J. Manag. Inf. Syst. 18(3), 97–124 (2002)
37. Horton, R.P., Buck, T., Waterson, P.E., Clegg, C.W.: Explaining intranet use with the technology acceptance model. J Inf. Technol. 16(4), 237–249 (2001)
38. Hrastinski, S., Keller, C.: An examination of research approaches that underlie research on educational technology: a review from 2000 to 2004. J. Educ. Comput. Res. 36(2), 175–190 (2007)
39. Hsiao, C.H., Yang, C.: The intellectual development of the technology acceptance model: a co-citation analysis. Int. J. Inf. Manag. 31, 128–136 (2011)
40. Hu, P.J., Chau, P.Y.K., Sheng, O.R.L., Tam, K.Y.: Examining the technology acceptance model using physician acceptance of telemedicine technology. J. Manag. Inf. Syst. 16(2), 91–112 (1999)
41. Hu, P.J., Lin, C., Chen, H.: User acceptance of intelligence and security informatics technology: a study of COPLINK. J. Am. Soc. Inf. Sci. Technol. 56(3), 235–244 (2005)
42. Huang, E.: The acceptance of women-centric websites. J. Comput. Inf. Syst. 45(4), 75–83 (2005)
43. Huang, J.-H., Lin, Y.-R., Chuang, S.-T.: Elucidating user behavior of mobile learning: a perspective of the extended technology acceptance model. Electron. Libr. 25(5), 585–598 (2007)
44. Huang, L.J., Lu, M.T., Wong, B.K.: The impact of power distance on Email acceptance: evidence from the PRC. J. Comput. Inf. Syst. 44(1), 93–101 (2003)
45. Igbaria, M., Iivari, J., Maragahh, H.: Why do individuals use computer technology? A Finnish case study. Inf. Manag. 29(5), 227–238 (1995)
46. Jackson, C.M., Chow, S., Leitch, R.A.: Toward an understanding of the behavioral intention to use an information system. Decis. Sci. 28(2), 357–389 (1997)
47. Karahanna, E., Straub, D.W., Chervany, N.L.: Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q. 23(2), 183–213 (1999)
48. King, W.R., He, J.: A meta-analysis of the technology acceptance model. Inf. Manag. 43, 740–755 (2006)
49. Lee, D.Y., Lehto, M.R.: User acceptance of YouTube for procedural learning: an extension of the technology acceptance model. Comput. Educ. 61, 193–208 (2013)
50. Lee, S., Kim, B.: Factors affecting the usage of intranet: a confirmatory study. Comput. Hum. Behav. 25(1), 191–201 (2009)
51. Lee, W., Xiong, L., Hu, C.: The effect of Facebook users’ arousal and valence on intention to go to the festival: applying an extension of the technology acceptance model. Int. J. Hosp. Manag. 31, 819–827 (2012)
52. Lee, Y., Kozar, K.A., Larsen, K.R.T.: The technology acceptance model: past, present, and future. Commun. Assoc. Inf. Syst. 12(50), 752–780 (2003)
53. Legris, P., Ingham, J., Collerette, P.: Why do people use information technology? A critical review of the technology acceptance model. Inf. Manag. 40, 191–204 (2003)
54. Liaw, S.S., Huang, H.M.: An investigation of user attitudes toward search engines as an information retrieval tool. Comput. Hum. Behav. 19(6), 751–765 (2003)
55. Lin, F., Wu, J.: An empirical study of end-user computing acceptance factors in small and medium enterprises in Taiwan: analyzed by structural equation modelling. J. Comput. Inf. Syst. 44(3), 98–108 (2004)
56. Lu, J., Yu, C.-S., Liu, C., Yao, J.E.: Technology acceptance model for wireless internet. Internet Res. 13(3), 206–223 (2003)
57. Lucas, H.C., Spitler, V.K.: Technology use and performance: a field study of broker workstations. Decis. Sci. 30(2), 291–311 (1999)
58. Mathieson, K.: Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Inf. Syst. Res. 2(3), 173–191 (1991)
59. Mathieson, K., Peacock, E., Chinn, W.C.: Extending the technology acceptance model: the influence of perceived user resources. Data Base Adv. Inf. Syst. 32(3), 86–112 (2001)
60. Melas, C.D., Zampetakis, L.A., Dimopoulou, A., Moustakis, V.: Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model. J. Biomed. Inform. 44, 553–564 (2011)
61. Moon, J.W., Kim, Y.G.: Extending the TAM for a World-Wide-Web context. Inf. Manag. 38(4), 217–230 (2001)
62. Nasri, W., Charfeddine, L.: Factors affecting the adoption of Internet banking in Tunisia: an integration theory of acceptance model and theory of planned behavior. J. High Technol. Manag. Res. 23, 1–14 (2012)
63. Oh, S., Ang, J., Kim, B.: Adoption of broadband internet in Korea: the role of experience in building attitudes. J. Inf. Technol. 18(4), 267–280 (2003)
64. Padilla-Meléndez, A., Aguila-Obra, A., Garrido-Moreno, A.: Perceived playfulness, gender differences and technology acceptance model in a blended learning scenario. Comput. Educ. 63, 306–317 (2013)
65. Pai, F.-Y., Huang, K.-I.: Applying the technology acceptance model to the introduction of healthcare information systems. Technol. Forecast. Soc. Chang. 78, 650–660 (2011)
66. Park, N., Lee, K.M., Cheong, P.H.: University instructors’ acceptance of electronic courseware: an application of the technology acceptance model. J. Comput. Mediat. Commun. 13, 163–186 (2008)
67. Pavlou, P.A.: Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int. J. Electron. Commer. 7(3), 101–134 (2003)
68. Plouffe, C.R., Hulland, J.S., Vandenbosch, M.: Research report: richness versus parsimony in modeling technology adoption decisions-understanding merchant adoption of a smart card based payment system. Inf. Syst. Res. 12(2), 208–222 (2001)
69. Saadé, R.G., Kira, D.: The emotional state of technology acceptance. Issues Inf. Sci. Inf. Technol. 3, 529–539 (2006)
70. Schepers, J., Wetzels, M.: A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Inf. Manag. 44, 90–103 (2007)
71. Serenko, A.: A model of user adoption of interface agents for email notification. Interact. Comput. 20, 461–472 (2008)
72. Sharp, J.H.: Development, extension, and application: a review of the technology acceptance model. Inf. Syst. Educ. J. 5(9), 1–11 (2007)
73. Shih, H.: Extended technology acceptance model of internet utilization behavior. Inf. Manag. 41(6), 719–729 (2004)
74. Son, H., Park, Y., Kim, C., Chou, J.-S.: Toward an understanding of construction professionals’ acceptance of mobile computing devices in South Korea: an extension of the technology acceptance model. Autom. Constr. 28, 82–90 (2012)
75. Straub, D., Keil, M., Brenner, W.: Testing the technology acceptance model across cultures: a three country study. Inf. Manag. 33(1), 1–11 (1997)
76. Sun, H., Zhang, P.: The role of moderating factors in user technology acceptance. Int. J. Hum Comput Stud. 64, 53–78 (2006)
77. Szajna, B.: Empirical evaluation of the revised technology acceptance model. Manag. Sci. 42(1), 85–92 (1996)
78. Tao, Y.-H., Cheng, C.-J., Sun, S.-Y.: What influences college students to continue using business simulation games? The Taiwan experience. Comput. Educ. 53, 929–939 (2009)
79. Taylor, S., Todd, P.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995)
80. Turner, M., Kitchenham, B., Brereton, P., Charters, S., Budgen, D.: Does the technology acceptance model predict actual use? A systematic literature review. Inf. Softw. Technol. 52, 463–479 (2010)
81. Van der Heijden, H.: User acceptance of hedonic information systems. MIS Q. 28(4), 695–704 (2004)
82. Venkatesh, V.: Creation of favorable user perceptions exploring the role of intrinsic motivation. MIS Q. 23(2), 239–260 (1999)
83. Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)
84. Venkatesh, V., Davis, F.D.: A model of antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)
85. Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)
86. Venkatesh, V., 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 Q. 24(1), 115–139 (2000)
87. Venkatesh, V., Morris, M., Davis, G., Davis, F.: User acceptance of information technology: towards a unified view. MIS Q. 27(3), 479–501 (2003)
88. Wagner, N., Hassanein, K., Head, M.: Computer use by older adults: a multi-disciplinary review. Comput. Hum. Behav. 26, 870–882 (2010)
89. Webster, J., Watson, R.T.: Analyzing the past to prepare for the future: writing a literature review. MIS Q. 26(2), xiii–xxiii (2002)
90. Wixom, B.H., Todd, P.A.: A theoretical integration of user satisfaction and technology acceptance. Inf. Syst. Res. 16(1), 85–102 (2005)
91. Wu, C.-S., Cheng, F–.F., Yen, D.C., Huang, Y.-W.: User acceptance of wireless technology in organizations: a comparison of alternative models. Comput. Stand. Interfaces 33, 50–58 (2011)
92. Wu, K., Zhao, Y., Zhu, Q., Tan, X., Zheng, H.: A meta-analysis of the impact of trust on technology acceptance model: investigation of moderating influence of subject and context type. Int. J. Inf. Manag. 31(6), 572–581 (2011)
93. Yi, M.Y., Hwang, Y.: Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. Int. J. Hum. Comput. Stud. 59(4), 431–449 (2004)
94. Yu, C.-S., Liu, C., Yao, J.E.: Technology acceptance model for wireless Internet. Internet Res 13(3), 206–222 (2003)
95. Zhang, S., Zhao, J., Tan, W.: Extending TAM for online learning systems: an intrinsic motivation perspective. Tsinghua Sci. Technol. 13(3), 312–317 (2008)