Structural Equation Modeling for Investigating the Factors Affecting the Faculty Members Adoption and Use of E-Learning Platform in Academic Purposes: An Empirical Validation in Higher Educational Context


  • Hitesh Choudhury Research Scholar, Krishna Kanta Handique State Open University, Assam, India
  • Guruprasad Khataniar Ex. Controller of Examination, Krishna Kanta Handique State Open University, Assam, India



Structural Equation, E-learning Platform, Technology Acceptance Model, Perceived Usefulness, Perceived Ease of Use, Attitudes towards using, E-learning Self-efficacy


E-learning Platform is one of the most flexible and important innovations for delivering education in modern educational system. However successful implementation of the E-learning Platform (ELP) depends on the users behavioral intension of adoption. Most of the Higher educational institutions in North-East Indian region is using Information and Communication Technology in teaching and learning process and moving towards the adoption of ELP. In this paper the main focus is to examine the factors affecting the faculty members perception and adoption of E-learning platform in academic purposes. In the theoretical framework of this study Technology Acceptance Model (TAM) is used to analyze the perception and behavioral intension of faculty members adoption and use of E-learning platform in academic purposes. The theoretical framework is proposed that includes the core construct of TAM namely Perceived Usefulness, Perceived Ease of Use, Attitudes towards using together with two external variables namely E-learning Self Efficacy and Job Relevance. The data were collected from 81 full time/part time faculty members of randomly selected University/Colleges in North East Indian region through a self-designed questionnaire comprising 21 items that represent the above mentioned six constructs. The data were used to validate and hypothesized research model. The data analysis was performed through structural equation modeling (SEM) by using the software package SPSS version 16 together with STATA. The study reveals that the adoption and using E-learning platform mainly depends on the behavioral intention and attitude towards using the platform. Perceived usefulness and job relevance are the most strongest and important predictors of behavioral intention and attitude towards using E-learning platform in academic purposes.


D. F. Coskuncay and S. Ozkan, “A model for instructors adoption of learning management system:Emprical validation in higher education context”, The Turkish Online Journal of Educational Technology, Vol. 12, No.2, pp. 13-25, 2003

P. Moses, W.A. Ali, and S. Krauss, “Cause Analysis of Learning Management System : Role of Moderator in Improving Students Performance”, Research and Practice in Technology Enhanced Learning, Vol. 9, No.1, pp. 83-105, 2014

F. D. Davis, “Perceived usefulness, perceived ease of use and user acceptance of Information Technology”, MIS Quarterly: Management Information System. Vol 13, No 3, pp. 319-340, 1989

H. M. Selim, “Critical success factors for e-learning acceptance. Confirmatory factor Models”, Computers and Education, Vol 49, No 2, pp. 396-413, 2007

B. Sumak, M. Hericko, and, M. Pusnik, “Factors affecting acceptance and use of Moodle: An empirical study based on TAM”, Informatica, Vol 35, pp. 91-100, 2011

D. Gefen, and D.W. Straus, “Gender difference in perception and use of E-mail: An Extension to the Technology Acceptance Model”, MIS Quarterly, Vol. 21, No 4, pp. 389-400, 1997

M.S. Featherman, “Extending the Technology Acceptance Model By Inclusion of Perceived Risk”, Seventh American Conferences on Information System (AMCIS), pp. 758-760, 2001

D. Gefen, and E.K. Detmar,“Trust and Technology Acceptance Model in Online Shoppings: An integrated Model”, MIS Quarterly, pp. 51-90, 2003

Y. Lee, J. Lee, and Z. Lee, “Social Influence on Technology Acceptance Behaviour”, ACM SIGMIS database, Vol 37, No. 2,, pp. 60-75, 2006

W. M. Lim, “E-Shopping: An analysis of the Technology Acceptance Model”, Published by Canadian Centre of Science and Education, Vol. 6, No 4, pp. 49-62, 2012

J.K. Lee, and W.K. Lee, “The relationship of the E-learners self-regulatory efficacy and perception of E-learning environment quality”, Computer vin Human Behavior, Vol. 24, No. 5, pp. 32-47, 2011

F.J. Miranda, S. Rubio, A. Chamorro and, S.C. Lourieiro, “Analuzing the use of Social Networks Sites in the Purchasing Decision Process”, E-Commerce Development Implementation and Management, Doi: 10.4018/978-1-4666-9787, 2016

V. Vankatesh, and F.D. Davis, “A Model of the Antecedents of Perceived Ease of Use: Development and Trust”, Decesion Science, pp. 451-481, 1996

R.B. Schafer, and J. L. Tait, “A Guide for Understanding Attitudes and Attitudes Change”, [AMES]: [Cooperative Extension Service, Iowa State University], 1986.

R.C. King, and M.L. Gribbins, “Internet Technology Adoption an Organizational event : An Exploratory Study Across Industries”, System Science. HICSS. Proceddings of 35th Annual Hawaii International Conference. pp. 2683-2692, 2002

M. Wu, H. Chou, Y. Weng, and Y. Huang, “TAM2-based study of Website User Behavior – Using Web 2.0 Website as an Example”, Wseas Transactions on Business and Economics, Vol. 4, No. 8, pp. 133-151, 2011

V. Venkatesh, and F.D. Davis, “A Theoretical Extension of the Technology Acceptance Model”, Four Longitudinal Field Studies, Management Science, Vol. 46, No.2, pp. 186 – 204, 2000

Bandura, “Self-efficacy. In V.S Ramachaudran”, Encyclopedia of human behavior, Vol. 4, pp. 71-81, 1994

N. Fathema, D. Shannon, and M. Ross, “Expanding The Technology Acceptance Model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) In Higher Education Institutions”, MERLOT Journal of Online Learning and Teaching, Vol. 11, No. 2, pp. 210 – 2015, 2015

J.W. Lee and S. Medlinger, “Perceived Self-Efficiacy and Its Effect on Online Learning Acceptance and Students Satisfication”, Journal ofService Science and Management , pp. 243 – 252, 2011

S.Y. Park, “An analysis of the technology acceptance model in understanding university students behavioral intention to use E-learning”, Educational Technology & Science, Vol. 12, No. 3, pp. 150 – 162, 2009

D. K. Maduku, “Behavioral intention towards mobile banking usage by South Africa retail banking clients”, Investment Management anf financial innovations, Vol. 11, No. 3, pp. 58-72, 2014

S. Taylor, and P. A. Tood, “Understanding Information Technology Usage: A test of competing models”, Information System Research, Vol. 6, No. 2, pp. 144-176, 1995

C. Fornell, and D. F. Larcker, “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50, 1981

N. Schmitt, “Uses and abuses of Coefficient alpha”, Psychological Assessment, Vol. 8, pp.-350-353, 1996

L.T. Hu, and P.M. Bentler, “Cutoff Criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives”, Structural Equation Modeling, Vol. 6, No. 1, pp. 1-55, 1999

G.R. Hancock, and R.O. Mueller, “Structural Equation Modeling: A second course. Charlotte, NC” Information age publishing, Vol. 2, pp. 439-492, 2006

[28] O. Micholas, A. Azeta, I. Chiazor, and N. Omoregbe, “Predecting the adoption of E-learning Management System: A case of selected private universitiesin Nigeria”, Turkish Online Journal of Distance Education , Vol. 18, No. 2, pp. 106-121, 2017

M. Masrom, “Technology Acceptance Model and E-learning”, 12th International conference on education, Sultan HassanalBolkiah institute of education, 2007.

Adwan, and J. Somedly, “Exploring students acceptance of E-learning using Technology Acceptance Model in Jordanian Universities”, International Journal of Education and Development using Information and Communication Technology, Vol. 9, No. 2, pp. 4-18, 2013

N. Fathema, D. Shannon, and M. Ross, “Extending the technology acceptance model (TAM) to examine faculty use of LMS in Higher education institution”, MERLOT Journal of online learning and teaching, Vol. 11, No. 2, pp. 210-132, 2015

S. Alharbi, and S. Drew, “Using the technology acceptance model in understanding academics behavioural intention to use LMS”, International Journal of Advanced Computer Science and Application, Vol. 5, No. 1, pp. 143-155, 2014 .




How to Cite

Choudhury, H., & Khataniar, G. (2018). Structural Equation Modeling for Investigating the Factors Affecting the Faculty Members Adoption and Use of E-Learning Platform in Academic Purposes: An Empirical Validation in Higher Educational Context. Asian Journal of Computer Science and Technology, 7(2), 21–29.