Educational Research and Reviews

  • Abbreviation: Educ. Res. Rev.
  • Language: English
  • ISSN: 1990-3839
  • DOI: 10.5897/ERR
  • Start Year: 2006
  • Published Articles: 2014

Full Length Research Paper

Examining e-learning adoption intention among academic staff in higher education institutions: A developing country context

Thomas Tega Tonukari
  • Thomas Tega Tonukari
  • Nobel International Business School, Accra, Ghana.
  • Google Scholar
Hod Anyigba
  • Hod Anyigba
  • Nobel International Business School, Accra, Ghana.
  • Google Scholar


  •  Received: 22 February 2023
  •  Accepted: 02 November 2023
  •  Published: 31 December 2023

References

Ajjan H, Hartshorne R (2008). Investigating faculty decisions to adopt Web 2.0 technologies: Theory and empirical tests. The Internet and Higher Education 11(2):71-80.
Crossref

 

Ajzen I (1991). The theory of planned behaviour. Organizational Behaviour and Human Decision Processes 50(2):179-211.
Crossref

 

Al-Azawei A, Parslow P, Lundqvist K (2016). Barriers and opportunities of e-learning implementation in Iraq: A case of public universities. The International Review of Research in Open and Distributed Learning 17(5).
Crossref

 

Algahtani AF (2011). Evaluating the effectiveness of the e-learning experience in some universities in Saudi Arabia from male students' perceptions. PhD thesis, Durham University, UK.

 

Alhomod S, Shafi MM (2013). Success Factors of E-Learning Projects: A Technical Perspective. Turkish Online Journal of Educational Technology 12(2):247-253.

 

Al-Kuwaiti A (2014). The perception of academic staff towards e-learning dental colleges in Saudi Arabia. International Journal of Medicine 504:510.

 

Ahmadu Bello University (2019). History of Ahmadu Bello University. (Accessed 03 September 2020). Available at:

View

 

Arkorful V, Abaidoo N (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning 12(1):29-42.

 

Ajzen I, Fishbein M (1975). A Bayesian analysis of attribution processes. Psychological bulletin 82(2):261.
Crossref

 

Bagozzi RP (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems 8(4):244-254.
Crossref

 

Baker WE, Al-Gahtani SS, Hubona GS (2007). The effects of gender and age on new technology implementation in a developing country: Testing the theory of planned behaviour (TPB). Information Technology and People 20(4):352-375.
Crossref

 

Bandura A (1977). Self-efficacy: toward a unifying theory of behavioural change. Psychological Review 84(2):191.
Crossref

 

Bandura A (1982). Self-efficacy mechanism in human agency. American Psychologist 37(2):122-147.
Crossref

 

Bandura A, Adams NE, Beyer J (1977). Cognitive processes mediating behavioral change. Journal of Personality and Social Psychology 35(3):125-139.
Crossref

 

Bandura A, Adams NE, Hardy AB (1980). Tests of the generality of self-efficacy theory. Cognitive Therapy and Research 4(1):39-66.
Crossref

 

Barron JM, Gjerde KP (1997). Peer pressure in an agency relationship. Journal of Labor Economics 15(2):234-254.
Crossref

 

Bice H, Tang H (2022). Teachers' beliefs and practices of technology integration at a school for students with dyslexia: A mixed methods study. Education and Information Technologies 27(7):10179-10205.
Crossref

 

Brown CA, Cooney TJ (1982). Research on Teacher Education: A Philosophical Orientation in Some Contemporary Problems in Mathematics Education. Journal of Research and Development in Education, Athens Ga 15(4):13-18.
Crossref

 

Cheon J, Lee S, Crooks SM, Song J (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education 59(3):1054-1064.
Crossref

 

Chin WW (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research 295(2):295-336.

 

Chu TH, Chen YY (2016). With good we become good: Understanding e-learning adoption by theory of planned behaviour and group influences. Computers and Education 92:37-52.
Crossref

 

Cohen J (1988). Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Erlbaum.

 

Davis FD (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly pp. 319-340.
Crossref

 

Davis FD, Bagozzi RP, Warshaw PR (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science 35(8):982-1003.
Crossref

 

de Vries H, Dijkstra M, Kuhlman P (1988). Self-efficacy: the third factor besides attitude and subjective norm as a predictor of behavioural intentions. Health Education Research 3(3):273-282.
Crossref

 

Engelbrecht E (2003). A look at e-learning models: investigating their value for developing an e-learning strategy. Progressio 25(2):38-47.

 

Fang Z (1996). A review of research on teacher beliefs and practices. Educational Research 38(1):47-65.
Crossref

 

Fishbein M, Ajzen I (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

 

Fornell C, Larcker DF (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1):39-50.
Crossref

 

Folorunso O, Ogunseye OS, Sharma SK (2006). An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities. Information Management and Computer Security Journal 14(5):496-505.
Crossref

 

Gatzioufa P, Saprikis V (2022). "A literature review on users' behavioral intention toward chatbots' adoption", Applied Computing and Informatics, Vol. ahead-of-print No. ahead-of-print.
Crossref

 

Groves MM, Zemel PC (2000). Instructional technology adoption in higher education: An action research case study. International Journal of Instructional Media 27(1):57.

 

Hair JF, Black WC, Babin BJ, Anderson RE (2014). Multivariate data analysis. 7th Edition. Edinburg: Pearson.

 

Henseler J, Ringle CM, Sarstedt M (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science 43:115-135.
Crossref

 

Henseler J, Hubona G, Ray PA (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management and Data Systems 116(1):2-20.
Crossref

 

Henseler J, Ringle CM, Sinkovics RR (2009). The use of partial least squares path modeling in international marketing. In New Challenges to International Marketing. Emerald Group Publishing Limited.
Crossref

 

Hu LT, Bentler PM (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 6(1):1-55.
Crossref

 

Johnson JB, Reddy P, Chand R, Naiker M (2021). Attitudes and awareness of regional Pacific Island students towards e-learning. International Journal of Educational Technology in Higher Education 18(1):1-20.
Crossref

 

Kandel E, Lazear EP (1992). Peer pressure and partnerships. Journal of Political Economy 100(4):801-817.
Crossref

 

Kanyip BP (2013). Admission Crisis in Nigerian Universities: The challenges youth and parents face in seeking admission. PhD Thesis, Seton Hall University, NJ.

 

King E, Boyatt R (2015). Exploring factors that influence adoption of e?learning within higher education. British Journal of Educational Technology 46(6):1272-1280.
Crossref

 

Kisanga D, Ireson G (2015). Barriers and strategies on the adoption of e-learning in Tanzanian higher learning institutions: Lessons for adopters. International Journal of Education and Development using Information and Communication Technology 11(2):126-137.

 

Lee YC (2006). An empirical investigation into factors influencing the adoption of an e-learning system. Online Information Review 30(5):517-541.
Crossref

 

Liao HL, Lu HP (2008). The role of experience and innovation characteristics in the adoption and continued use of e-learning websites. Computers and Education 51(4):1405-1416.
Crossref

 

Lu J, Yu CS, Liu C (2005). Facilitating conditions, wireless trust and adoption intention. Journal of Computer Information Systems 46(1):17-24.

 

Mani D, Barua A, Whinston A (2010). An empirical analysis of the impact of information capabilities design on business process outsourcing performance. MIS Quarterly 34(1):39-62.
Crossref

 

Marginson S (2016). The worldwide trend to high participation higher education: dynamics of social stratification in inclusive systems. Higher Education 72:413-434.
Crossref

 

Mathieson K (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behaviour. Information Systems Research 2(3):173-191.
Crossref

 

Mtebe JS, Raisamo R (2014). Investigating perceived barriers to the use of open educational resources in higher education in Tanzania. The International Review of Research in Open and Distributed Learning 15(2).
Crossref

 

Ndubisi N (2006). Factors of online learning adoption: A comparative juxtaposition of the theory of planned behaviour and the technology acceptance model. International Journal on E-learning 5(4):571-591.

 

Ndubisi NO (2004). Factors influencing e-learning adoption intention: Examining the determinant structure of the decomposed theory of planned behaviour constructs. In Proceedings of the 27th Annual Conference of HERDSA pp. 252-262.

 

Nwagwu WN (2020). E-learning readiness of universities in Nigeria - what are the opinions of the academic staff of Nigeria's premier university? Education and Information Technologies 25:1343-1370.
Crossref

 

Obi OA, Eze SE, Ogochukwu NW (2020). E-learning: A Trend for Effective TVET Sustainability in Nigeria. Vocational and Technical Education Journal 2(1):195-201.

 

Odegbesan OA, Charles A, Aderonke AO, Adeoba TF (2019). The prospects of adopting e-learning in the Nigerian education system: a case study of Covenant University. In Journal of Physics: Conference Series 1299(1):012058.
Crossref

 

Oluwalola FK, Omotayo AA (2019). Availability and utilization of e-learning facilities for management and business courses in universities in Kwara State, Nigeria. Nigerian Journal of Business Education 6(2):346-357.

 

Omeje HO, Orji CT, Okereke GK (2019). Assessing the extent of e-learning utilization by industrial technical education lecturers for effective teaching and learning in universities. Journal of Engineering and Applied Sciences 14(11):3790-3796.
Crossref

 

Ong AKS, Prasetyo YT, Borja AKFP, Hosillos FA, Perez YFN, Robas KP, Persada SF, Nadlifatin R (2023). Factors affecting revisiting behavior to Taal Volcano during the post recovery 2020 eruption: An extended theory of planned behavior approach. International Journal of Disaster Risk Reduction. P 103552.
Crossref

 

Pajares MF (1992). Teachers' beliefs and educational research: Cleaning up a messy construct. Review of Educational Research 62(3):307-332.
Crossref

 

Park SY (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology and Society 12(3):150-162.

 

Pehkonen E, Pietilä A (2003, February). On relationships between beliefs and knowledge in mathematics education. In Proceedings of the CERME-3 (Bellaria) meeting Pp. 1-8.

 

Rabin E, Kalman YM, Kalz M (2020). The cathedral's ivory tower and the open education bazaar-catalyzing innovation in the higher education sector. Open Learning: The Journal of Open, Distance and e-Learning 35(1):82-99.
Crossref

 

Rakhyoot WAA (2017). Institutional and individual barriers of e-learning adoption in higher education in Oman: academics' perspectives. PhD Thesis, University of Strathclyde, UK.

 

Renda dos Santos LM, Okazaki S (2016). Planned e-learning adoption and occupational socialisation in Brazilian higher education. Studies in Higher Education 41(11):1974-1994.
Crossref

 

Richardson V, Anders P, Tidwell D, Lloyd C (1991). The relationship between teachers' beliefs and practices in reading comprehension instruction. American Educational Research Journal 28(3):559-586.
Crossref

 

Rogers EM (1983). Diffusion of innovations. The Free Press.

 

Rokeach M (1972). Beliefs, attitudes and values: A theory of organization and change. Jossey-Bass.

 

Sadaf A, Newby TJ, Ertmer PA (2012). Exploring factors that predict pre-service teachers' intentions to use Web 2.0 technologies using decomposed theory of planned behaviour. Journal of Research on Technology in Education 45(2):171-196.
Crossref

 

Sanga C, Magesa MM, Chingonikaya E, Kayunze KA (2013). Can e-learning promote participation of female students in STEM disciplines in higher learning institutions of Tanzania? International Journal of Education and Development using ICT 9(3).

 

Sheppard BH, Hartwick J, Warshaw PR (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research 15(3):325-343.
Crossref

 

Shih YY, Fang K (2004). The use of a decomposed theory of planned behaviour to study Internet banking in Taiwan. Internet Research 14(3):213-223.
Crossref

 

Sife A, Lwoga E, Sanga C (2007). New technologies for teaching and learning: Challenges for higher learning institutions in developing countries. International Journal of Education and Development using ICT 3(2):57-67.

 

Smith LKC, Fowler SA (1984). Positive peer pressure: The effects of peer monitoring on children's disruptive behaviour. Journal of Applied Behaviour Analysis 17(2):213-227.
Crossref

 

Stipek DJ, Givvin KB, Salmon JM (2001). Teachers' beliefs and practices related to mathematics instruction. Teaching and Teacher Education 17(2):213-226.
Crossref

 

Tandon U, Mittal A, Bhandari H, Bansal K (2022). E-learning adoption by undergraduate architecture students: Facilitators and inhibitors. Engineering, Construction and Architectural Management 29(10):4287-4312.
Crossref

 

Taylor S, Todd P (1995a). Decomposition and crossover effects in the theory of planned behaviour: A study of consumer adoption intentions. International Journal of Research in Marketing 12(2):137-155.
Crossref

 

Taylor S, Todd P (1995b). Understanding information technology usage: A test of competing models. Information Systems Research 6(2):144-176.
Crossref

 

Teo T (2009). The impact of subjective norm and facilitating conditions on pre-service teachers' attitude toward computer use: A structural equation modeling of an extended technology acceptance model. Journal of Educational Computing Research 40(1):89-109.
Crossref

 

Teo T (2010). Examining the influence of subjective norm and facilitating conditions on the intention to use technology among pre-service teachers: A structural equation modeling of an extended technology acceptance model. Asia Pacific Education Review 11(2):253-262.
Crossref

 

Teo T, Lee CB, Chai CS (2008). Understanding pre-service teachers' computer attitudes: Applying and extending the Technology Acceptance Model. Journal of Computer Assisted Learning 24(2):128-143.
Crossref

 

Theodorou A, Hatzithomas L, Fotiadis T, Diamantidis A, Gasteratos A (2023). The impact of the COVID-19 pandemic on online consumer behavior: Applying the theory of planned behavior. Sustainability 15(3):2545.
Crossref

 

University of Lagos (n.d.). About us. (Accessed 03 September 2020). Available at:

View

 

Unwin T, Kleessen B, Hollow D (2010). Digital learning management systems in Africa: myths and realities. Open Learning: The Journal of Open, Distance and E-Learning 25(1):5-23.
Crossref

 

Urbach N, Ahlemann F (2010). Structural equation modelling in information systems research using partial least squares. Journal of Information Technology Theory and Application 11(2):5-40.

 

Venkatesh V, Davis FD (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences 27(3):451-481.
Crossref

 

Venkatesh V, Morris MG, Davis GB, Davis FD (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly pp. 425-478.
Crossref

 

Warshaw PR, Davis FD (1985). Disentangling behavioural intention and behavioural expectation. Journal of Experimental Social Psychology 21(3):213-228.
Crossref

 

Williams JB, Goldberg M (2005). The evolution of e-learning, balance, fidelity, mobility: Maintaining the momentum? 725-728. Proceedings of the 22nd ASCILITE Conference Brisbane, 4-7 December 2005. Queensland University of Technology, Department of Teaching and Learning Support Services.

 

Yakubu MN, Dasuki SI (2019). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria: A structural equation modelling approach. Information Development 35(3):1-11.
Crossref

 

Yuen AH, Ma WW (2008). Exploring teachers' acceptance of e?learning technology. Asia?Pacific Journal of Teacher Education 36(3):229-243.
Crossref