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Author(s): Mridul Gupta, Sai Keerthana Thammi


DOI: 10.52711/2321-5763.2021.00037   

Address: Mridul Gupta, Sai Keerthana Thammi
Bachelor of Business Administration, Symbiosis Centre for Management Studies, Pune Symbiosis International (Deemed) University, Pune, Maharashtra, India.
*Corresponding Author

Published In:   Volume - 12,      Issue - 3,     Year - 2021

Technological developments in the field of education have paved the way for e-learning. Massive Open Online Courses (MOOC) and online certification courses have become widely popular among students especially those in higher education. Today, E-learning platforms have provided the end users the opportunity to pursue online certifications, gain knowledge and skills, and learn from experts in different fields from the comfort of their homes. Students are an important stakeholder in this knowledge transfer process. Therefore, it is important to understand their attitude towards e learning and their expectation from such platforms. This paper attempts to study the concept of Technology Acceptance Model (TAM) in e-learning among undergraduate students in India to understand their perception and behaviour towards e-learning. The main research methods used were: the questionnaire for primary data collection, journals and research articles for secondary data collection. Excel and Statistical Product and Service Solutions (SPSS) were used to process the collected data, test the hypotheses, statistical analysis, analyse the results and achieve research objectives. Microsoft Word was used for textual representation of final results and interpretations. Hypothetical model based on TAM was framed and six research variables were identified for the study: Perceived Usefulness, Capability, Perceived ease-of-use, Intention to Use, Trustworthiness, Actual Use. The research helped to understand the components of TAM, analyse and identify the relation between TAM and E learning, and revealed that undergraduate students in India have positive perception of E-learning.

Cite this article:
Mridul Gupta, Sai Keerthana Thammi. A Study of the Application of Technology Acceptance Model (TAM) to E learning among undergraduate students in India- A Structural Equation Modelling Approach. Asian Journal of Management. 2021; 12(3):243-2. doi: 10.52711/2321-5763.2021.00037

Mridul Gupta, Sai Keerthana Thammi. A Study of the Application of Technology Acceptance Model (TAM) to E learning among undergraduate students in India- A Structural Equation Modelling Approach. Asian Journal of Management. 2021; 12(3):243-2. doi: 10.52711/2321-5763.2021.00037   Available on:

1.    Ahmad, S., Bhatti, S. H., and Hwang, Y. (2019, August 29). E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model. Information Development, 36(4), 503-519.
2.    Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. Action Control, 11-39.
3.    Ajzen, I. (1991, December). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), pg 179-211.
4.    Ajzen, I. (2012a). Attitudes and persuasion. (K. Deaux, and M. Snyder, Eds.) The Oxford Handbook of Personality and Social Psychology (1st edn), 367-393.
5.    Ajzen, I. (2012b). The theory of planned behavior. (P. A. Lange, A. Kruglanski, and E. T. Higgins, Eds.) Handbook of theories of social psychology, 1, 438-459.
6.    Ajzen, I., and Fishbein, M. (1980). Understanding attitudes and predicting social behavior. New Jersey: Prentice-Hall.
7.    Ajzen, I., and Fishbein, M. (2005). The influence of attitudes on behavior. (D. Albarracín, B. Johnson, and M. P. Zanna, Eds.) The handbook of attitudes, 173-221.
8.    Ajzen, I., and Fishbein, M. A. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research (Vol. 27).
9.    Allen, I. E., and Seaman, J. (2006). Making the Grade: Online Education in the United States. USA: Sloan Consortium (Sloan-C).
10.    Bhattacharya, I., and Sharma, K. (2007, August). India in the knowledge economy - An electronic paradigm. International Journal of Educational Management, 21(6), 543-568.
11.    Bonk, C. J., Wisher, R. A., and Lee, J.-Y. (2004). Moderating Learner-Centered E-Learning: Problems and Solutions, Benefits and Implications. USA.
12.    Campbell, D. T., and Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
13.    Chowdhury, D. (2019). Role of E-Learning on Education: A Review of Literature. Asian Journal of Management, 10(3), 273-278.
14.    Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
15.    Cronbach, L. J., and Meehl, P. (1955). Construct Validity in Psychological Tests. Psychological Bulletin, 52(4), 281-302.
16.    Davis, F. D. (1989, September). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
17.    Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989, August). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.
18.    Dongsong Zhang, L. Z. (2006). Instructional video in e-learning: Assessing the impact of. Information and Management, 43, 15-27.
19.    Emma L. Bird, J. P. (2018, September). Predicting walking and cycling behaviour change using an extended Theory of Planned Behaviour. Journal of Transport and Health, 10, 11-27.
20.    Fishbein, M. (1980). A theory of reasoned action: some applications and implications. Nebraska Symposium on Motivation, 27, 65-116.
21.    Fornell, C., and Larcker, D. F. (1981, f). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
22.    Fraser, R., Johnson, K., Hebert, J., Ajzen, I., Copeland, J., Brown, P., et al. (2010). Understanding employers’ hiring intentions in relation to qualified workers with disabilities: Preliminary findings. Journal of Occupational Rehabilitation, 20, 420-426.
23.    Gefen, D., Karahanna, E., and Straub, D. W. (2003, August). Inexperience and Experience with Online Stores: The Importance of TAM and Trust. IEEE Transactions on Engineering Management, 50(3), 307-321.
24.    Gupta, N. (2020). The Effect of Technology Acceptance on Online Customers’ Repurchase Intention. Asian Journal of Management, 11(3), 343-348.
25.    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (1998). Multivariate data analysis (5th edition). 5(3).
26.    Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2006). Mutivariate Data Analysis (Vol. 6). Pearson Prentice Hall.
27.    Hughes, M. A., Price, R. L., and Marrs, D. W. (1986). Linking theory construction and theory testing: Models with multiple indicators of latent variables. The Academy of Management Review, 11(1), 128-144.
28.    Institute of Medicine (US). (2002). Committee on Communication for Behavior Change in the 21st Century: Improving the Health of Diverse Populations. In Speaking of Health: Assessing Health Communication Strategies for Diverse Populations. Washington (DC): National Academies Press (US).
29.    Japutra, A., Loureiro, S. M., Molinillo, S., and Ekinci, Y. (2019, April). Travellers' mindsets and theory of planned behaviour. Tourism Management Perspectives, 30, 193-196.
30.    Jayaswal, P. (2019). Critical Success Factors Affecting E-learning Quality for Management Students in Delhi-NCR. Research Journal of Humanities and Social Sciences, 10(2), 346-350.
31.    Kataria, Y. S., Krishna, H. G., Tyagi, V. K., and Vashishat, T. (2019). Consumer Buying behavior of Organic food Products in India Through the Lens of Planned Behavior Theory. Research Journal of Humanities and Social Sciences, 10(1), 60-67.
32.    Koufaris, M. (2002, June). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2),
33.    Kumar, M. V. (2018). Teacher as online facilitator in a Face book group for Knowledge acquisition. Research Journal of Humanities and Social Sciences, 9(1), 245-247.
34.    Lee, J., Cerreto, F. A., and Lee, J. (2010, January). Theory of Planned Behavior and Teachers' Decisions Regarding Use of Educational Technology. Educational Technology and Society, 13(1), 152-164.
35.    Lee, Y., Kozar, K. A., and and Larsen, K. R. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12(50), 752-780.
36.    Mehra, V., and Omidian, F. (2012, January). Development an instrument to measure university students' attitude towards e-learning. Turkish Online Journal of Distance Education, 13(1), 34-51.
37.    Pfeffer, J. (1984, December). Organizations and Organization Theory. Administrative Science Quarterly, 29(4), 640-643.
38.    Pillai, S. V., Mathew, L. S., Daniel, A., and A. V. (2020). Technology enabled online learning in a Digital age. Asian Journal of Management, 11(3), 266-274.
39.    Radner, R., and Rothschild, M. (1975). On the allocation of effort. Journal of Economic Theory, 10(3), 358-376.
40.    Rogers, E. (1995). Diffusion of Innovations.
41.    Roy, N., and Jain, Y. (2014). Education through ICT Technology: Need of an hour. Asian Journal of Management, 5(2), 246-259.
42.    Schein, E. H. (1980). Organizational psychology. Foundations of modern psychology series (copyright 1965).
43.    Sharma, R. L. (2017). The Study of Customer Behaviour and Its Impact on Customer Satisfaction, Loyalty and Service Quality Perception in E-Banking Services in Jammu Division. Asian Journal of Management, 8(2), 241-245.
44.    Stockley, D. (2003). E-learning Definition and Explanation. Retrieved November 2020, from derekstockley:
45.    Straub, D., and Karahanna, E. (1995, August). Measuring System Usage: Implications for IS Theory Testing. Management Science, 41(8), 1328-1342.
46.    Trafimow, D. (2009, August). The Theory of Reasoned Action. Theory and Psychology, 19, 501-518.
47.    Uma R, and V. Selvam. (2017). Consumer’s Attitude towards Organic Food Products buying Decision in Vellore City: Structural Equation Modeling – Using Partial Least Square (SEM-PLS) approach. Research Journal of Pharmacy and Technology, 10(12), 4333-4338.
48.    Vaidehi R, and Girija T. (2017). Factors Influencing Diffusion and Continuance of Massive Open Online Course (MOOC). Asian Journal of Management, 8(3), 731-733.
49.    Venkatesh, V., and Davis, F. D. (1996, September). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27(3), 451-481.
50.    Venkatesh, V., and Davis, F. D. (2000, February 2). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
51.    Vroom, V. (1964). Work and motivation. 331.
52.    Wixom, B. H., and Todd, P. A. (2005, March 1). A Theoretical Integration of User Satisfaction and Technology Acceptance. Informations Systems Research, 16(1).
53.    Wu, K., Zhao, Y., Zhu, Q., Tan, X., and Zheng, H. (2011, December). A meta-analysis of the impact of trust on technology acceptance model: Investigation of moderating influence of subject and context type. International Journal of Information Management, 31(6), 572-581.
54.    Yakasai, A., and Jusoh, W. (2015, November). Testing the Theory of Planned Behavior in Determining Intention to use Digital Coupon among University Students. Procedia Economics and Finance, 31, 186-193.

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