An In-depth Study on the Theories of Technology Adoption- A Review of Literature
DOI:
https://doi.org/10.61841/vanx5692Keywords:
DOI, TAM, UTUAT, UTUAT2Abstract
With time and due to diverse factors the organization needs to be dynamic. Only those organizations could survive in the competitive markets which have different strategies towards survival and tends to change as per the environment. The primary goal of the organization must be adoption of upgraded technology which they need for their business organizational growth and development.This paper aims at providing information about the theories and models related to the technology adoption.This paper deals with the secondary data and does not include any of the statistical data but only methods in a diagrammatic way. Each theory and method is designed and developed by different authors and each method/ theory has a different viewpoint and factor that contributes towards the understanding of the individual behaviour. It has been found that all the theories have been widely used and empirically have been proved by different authors.
Downloads
References
1. Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information and Management. https://doi.org/10.1016/j.im.2007.09.002
2. Alawadhi, S., & Morris, A. (2008). The use of the UTAUT model in the adoption of e-government services in Kuwait. In Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2008.452
3. Arenas-Gaitán, J., Peral-Peral, B., & Ramón-Jerónimo, M. A. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking and Commerce.
4. Bagozzi, R. (2018). The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift. Journal of the Association for Information Systems. https://doi.org/10.17705/1jais.00122
5. Cain, M., & Mittman, R. (2002). Diffusion of Innovation in Health Care. California HealthCare Foundation.
6. Canonsburg, T. D. (2011). ANSYS Meshing User ’ s Guide. Renewable and Sustainable Energy Reviews.
7. Cavanaugh, T. (2001). The Need for Assistive Technology in Educational Technology The Need for Assistive Technology in Educational Technology. Educational Technology Review, 10(1), 27–31.
8. Chen, S. C. (2012). To use or not to use: understanding the factors affecting continuance intention of mobile banking. International Journal of Mobile Communications, 10(5), 490. https://doi.org/10.1504/ijmc.2012.048883
9. Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly. https://doi.org/10.2307/2393553
10. Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. (2003). International Journal of Electronic Commerce. https://doi.org/10.1080/10864415.2003.11044275
11. Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J., Thornton, K., & Sweetser, K. D. (2010). Adoption of social media for public relations by nonprofit organizations. Public Relations Review. https://doi.org/10.1016/j.pubrev.2009.10.003
12. Damanpour, F., & Gopalakrishnan, S. (1998). Theories of organizational structure and innovation adoption: The role of environmental change. Journal of Engineering and Technology Management - JET-
M. https://doi.org/10.1016/S0923-4748(97)00029-5
13. DeJong, S. M. (2013). The Future of Technology in Health Care. In Blogs and Tweets, Texting and Friending (pp. 151–163). https://doi.org/10.1016/b978-0-12-408128-4.00012-6
14. Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task-technology fit constructs. Information and Management. https://doi.org/10.1016/S0378-7206(98)00101-3
15. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human Computer Studies. https://doi.org/10.1016/S1071- 5819(03)00111-3
16. Fichman, R. G. (2004). Real options and IT platform adoption: Implications for theory and practice. Information Systems Research. https://doi.org/10.1287/isre.1040.0021
17. Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2009.03.024
18. Gua, J. C., Leeb, S. C., & Suhc, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.
19. Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2008.06.016
20. Holden, R. J., & Karsh, B.-T. (2009). Methodological Review The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43, 159–172. https://doi.org/10.1016/j.jbi.2009.07.002
21. Hong, I. B. (2019). Understanding and Predicting Behavioral Intention to Adopt Mobile Banking. Journal of Global Information Management, 27(3), 182–202. https://doi.org/10.4018/jgim.2019070110
22. Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2014.04.006
23. Hu, P. J., Chau, P. Y. K., Liu Sheng, O. R., & Tam, K. Y. (1999). Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems. https://doi.org/10.1080/07421222.1999.11518247
24. Jackson, C. M., Chow, S., & Leitch, R. A. (2007). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences, 28(2), 357–389. https://doi.org/10.1111/j.1540- 5915.1997.tb01315.x
25. Kim, H. W., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet: An empirical investigation. Decision Support Systems. https://doi.org/10.1016/j.dss.2005.05.009
26. Kluber, M. (2017). Information technology. In Equity Markets in Transition: The Value Chain, Price Discovery, Regulation, and Beyond. https://doi.org/10.1007/978-3-319-45848-9_7
27. Lai, P. (2017). THE LITERATURE REVIEW OF TECHNOLOGY ADOPTION MODELS AND
THEORIES FOR THE NOVELTY TECHNOLOGY. Journal of Information Systems and Technology Management. https://doi.org/10.4301/s1807-17752017000100002
28. Lee, Y., Kozar, K. A., Larsen, K. R. T., Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The Technology Acceptance Model: Past, Present, and Future The Technology Acceptance Model: Past, Present, and Future THE TECHNOLOGY ACCEPTANCE MODEL: PAST, PRESENT, AND FUTURE.
Communications of the Association for Information Systems, 12(50), 752–780.
29. Liu, M., Kostiwa, Marchewka, J. T., Liu, C., & Kostiwa, K. (2007). An application of the UTAUT model for understanding student perceptions using course management software. Nuclear Instruments & Methods in Physics Research.
30. Lucas, H. C. (2008). Information Technology for Management Information Technology for Management. Text, 14(2–4), 415–438. https://doi.org/10.1017/CBO9781107415324.004
31. Luna, P. (2017). Technology. In History of Oxford University Press: Volume IV 1970 to 2004. https://doi.org/10.1093/acprof:oso/9780199574797.003.0007
32. Ma, Q., & Liu, L. (2011). The Technology Acceptance Model. Journal of Organizational and End User Computing. https://doi.org/10.4018/joeuc.2004010104
33. Masrom, M. (2007). The technology acceptance model and E-Learning. Decision Support Systems,.
34. Min, Q., Ji, S., & Qu, G. (2008). Mobile Commerce User Acceptance Study in China: A Revised UTAUT Model. Tsinghua Science and Technology. https://doi.org/10.1016/S1007-0214(08)70042-7
35. Mintrom, M. (1997). Policy Entrepreneurs and the Diffusion of Innovation. American Journal of Political Science. https://doi.org/10.2307/2111674
36. Oechslein, O., Fleischmann, M., & Hess, T. (2014). An application of UTAUT2 on social recommender systems: Incorporating social information for performance expectancy. In Proceedings of the Annual
Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2014.409
37. Oliveira, T., & Martins, M. F. (2011). Literature Review of Information Technology Adoption Models at Firm Level. Electronic Journal Information Systems Evaluation.
38. Orlikowski, W. J. (2000). Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations. Organization Science. https://doi.org/10.1287/orsc.11.4.404.14600
39. Orlikowski, W. J. (2008). The Duality of Technology: Rethinking the Concept of Technology in Organizations. Organization Science. https://doi.org/10.1287/orsc.3.3.398
40. Oshlyansky, L., Cairns, P., & Thimbleby, H. (2007). Validating the Unified Theory of Acceptance and Use of Technology (UTAUT) tool cross-culturally. Volume 2 Proceedings of the 21st BCS HCI Group Conference.
41. Pearl, R. M. (1997). Health care--past, present, and future. Annals of Plastic Surgery, 38(2), 191–192. https://doi.org/10.1097/00000637-199702000-00018
42. Priyanka, S. (2012). Technology acceptance model: A survey of literature. International Journal of Business and Social Research (IJBSR). https://doi.org/10.1016/j.biortech.2015.06.132
43. R.J., H., & B.-T., K. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159–172. https://doi.org/10.1016/j.jbi.2009.07.002
44. Rashed, A., & Santos, H. (2014). Determinants of Behavioral Intention to Mobile Banking in Arab Culture. In Banking, Finance, and Accounting (pp. 1253–1262). https://doi.org/10.4018/978-1-4666- 6268-1.ch067
45. Rogers, E. (2003). Diffusion of Innovation, 5th ed.,. Visual Cognition. https://doi.org/10.1080/13506285.2017.1297339
46. Safdari, R., Saeedi, M. G., Valinejadi, A., Bouraghi, H., & Shahnavazi, H. (2017). Technology Acceptance Model in health care centers of Iran. International Journal of Computer Science and Network Security (IJCSNS), 17(1), 42.
47. Sahin, I., & Rogers, F. (2006). Detailed Review of Rogers’ Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers’ Theory. Turkish Online Journal of Educational Technology.
48. Selvan, N. T., Arasu, B. S., & Sivagnanasundaram, M. (2011). Behavioral Intention Towards Mobile Banking in India. International Journal of E-Services and Mobile Applications, 3(4), 37–56. https://doi.org/10.4018/jesma.2011100103
49. Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2013). Extending UTAUT2 To Explore Consumer Adoption Of Mobile Payments. UK Academy for Information Systems Conference Proceedings.
50. Souchkov, V. (2012). Technology Roadmapping. In The Power of Design: Product Innovation in Sustainable Energy Technologies. https://doi.org/10.1002/9781118361177.ch2
51. Straub, E. T. (2009). Understanding Technology Adoption: Theory and Future Directions for Informal Learning. Review of Educational Research. https://doi.org/10.3102/0034654308325896
52. Troy Thomas, University of Guyana, G., Lenandlar Singh, University of Guyana, G., Kemuel Gaffar, University of Guyana, G., Thomas, T., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. … Journal of Education and ….
53. Venkatesh, Viswanath, James Y. L. Thong, X. X. (2012). C ONSUMER A CCEPTANCE AND U SE OF I NFORMATION T ECHNOLOGY : E XTENDING THE U NIFIED T HEORY. MIS Quarterly.
54. Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly. https://doi.org/10.2307/30036540
55. Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly. https://doi.org/10.2307/41410412
56. Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: U.S. vs. China. Journal of Global Information Technology Management. https://doi.org/10.1080/1097198X.2010.10856507
57. Viswanath, V., & Hillol, B. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
58. Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): A literature review. Journal of Enterprise Information Management. https://doi.org/10.1108/JEIM-09-2014-0088
59. Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research. https://doi.org/10.1287/isre.1050.0042
60. Zhou, T. (2011). The impact of privacy concern on user adoption of location-based services. Industrial Management and Data Systems. https://doi.org/10.1108/02635571111115146
61. Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2010.01.013
62. TANG, ML. "PREDICTING CONSUMER INTENTIONS TO QUICK RESPONSE CODE ADOPTION:
EVIDENCE FROM TAIWAN."International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) 4.6 (2014): 65-74
63. Chu, Li-Chuan, and Che-Pin Liang. "CONSUMER PERCEPTION AND BEHAVIORAL INTENTION
OF CONVENIENCE STORE’S POINT COLLECTING." International Journal of Business and General Management (IJBGM) 7.3 (2018): 45-52
64. Rao, Karanam Nagaraja, and Femina Syed. "Building Customer-Centric organizations-An evolving role of HR." International Journal of Business and General Management (IJBGM) 9.1 (2020): 1–6.
65. VANATHI, S., and SD SIVAKUMAR. "A STUDY ON RURAL AND URBAN CONSUMER BUYING BEHAVIOUR TOWARDS FOOD PRODUCTS OF FARMER PRODUCER ORGANIZATIONS."
International Journal of Agricultural Science and Research (IJASR) 9.4 (2019): 53-60
66. MUTHUKRISHNAN, S. "CONSUMER BUYING BEHAVIOUR AND EFFECT OF ADVERTISEMENT MEDIAS ON TEXTILE PRODUCTS-A STUDY." International Journal of
Business Management & Research (IJBMR) 7.5 (2017): 1-10
67. AHMED, AYESHA SULTANA, D. RATNA KUMARI, and T. NEERAJA. PURCHASE BEHAVIOUR OF WOMEN CONSUMERS, TOWARDS ENERGY EFFICIENT HOUSEHOLD PRODUCTS.
International Journal of Economics, Commerce and Research (IJECR) 7.5 (2017): 7-12.
68. Ghosh, M. U. N. M. U. N., and A. R. I. N. D. A. M. Ghosh. "Consumer buying behaviour in relation to consumption of tea–a study of Pune city." International Journal of Sales & Marketing Management Research and Development (IJSMMRD) g 3.2 (2013): 47-54.
69. Goyal, Aparna, Vipul Kumar, and Sanjeev Bansal. "IMPACT OF THE PACKAGING ON CONSUMER BUYING BEHAVIOUR." International Journal of Agricultural & Bio-Chemical Science (IASET: IJABS)
7.2 (2018): 1-14
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
