This study sought to explore the technological, organizational, and environmental determinants of e-learning adoption in University of Ghana using a multistakeholder approach. Another construct (nature of the course) was added to the traditional constructs of the technology-organization-environment framework. Using survey research, e-learning stakeholders in the University of Ghana responded to the questionnaire. The data were analyzed using factor analysis and multiple regression. The findings indicate some disparities in the adoption factors for the three e-learning stakeholders (students, instructors, and administrators). The article concludes with a discussion of future research directions.
AmirkhanpourM.KaufmannH. R.Garcia GallegoA. (2014) An extensive study of the e-learning practices within Cyprus universities. International Journal of Organizational Analysis22: 317–341.
2.
AndersonC.PlevinM.McKinnonA. (2012) Educating our students about pharmaceutical care for those living with cancer. American Journal of Pharmaceutical Education76. Article 119. doi: 10.5688/ajpe767119.
3.
Baumann-BirkbeckL.KarakshaA.Anoopkumar DukieS.GrantG.DaveyA.NirthananS.OwenS. (2014) Benefits of e-learning in chemotherapy pharmacology education. Currents in Pharmacy Teaching and Learning7: 106–111. Retrieved from http://dx.doi.org/10.1016/j.cptl.2014.09.014.
4.
BhuasiriW.XaymoungkhounO.ZoH.RhoJ. J.CiganekA. P. (2012) Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education58: 843–855.
5.
BSU-University of Ghana (2015) BSU mapping study on the state of e-learning in the university of Ghana, Legon, Accra, Ghana: BSU-University of Ghana.
6.
ChenY.-C. (2014) An empirical examination of factors affecting college students’ proactive stickiness with a web-based English learning environment. Computers in Human Behavior31: 159–171.
7.
ChokriB. (2012) Factors influencing the adoption of the e-learning technology in teaching and learning by students of a University class. European Scientific Journal8: 165–190.
8.
ClarkR.MayerR. (2011) E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning, 3rd ed. San Francisco, CA: Pfeiffer.
9.
CostelloA. B.OsborneJ. W. (2005) Exploratory factor analysis. Practical Assessment Research & Evaluation10. . Available at: http://pareonline.net/getvn.asp?v=10&n=7.
10.
CzerniewiczL.BrownC. (2009) A study of the relationship between institutional policy, organisational culture and e-learning use in four South African universities. Computers & Education53: 121–131.
11.
DavisF. D. (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly13: 319–340.
12.
DeLoneW. H.McLeanE. R. (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems19: 9–30.
13.
DuanY.HeQ.FengW.LiD.FuZ. (2010) A study on e-learning take-up intention from an innovation adoption perspective: A case in China. Computers & Education55: 237–246.
14.
EffahJ. (2012) Mobilizing culture for e-business in developing countries: An actor network theory account. Electronic Journal of Information Systems in Developing Countries52(5): 1–17.
15.
EzeS. C.AwaH. O.OkoyeJ. C.EmechetaB. C.AnazodoR. O. (2013) Determinant factors of information communication technology (ICT) adoption by government owned universities in Nigeria–A qualitative approach. Journal of Enterprise Information Management26: 427–443.
16.
HageJ. (1980) Theories of organizations: Forms, process and transformation, New York, NY: John Wiley & Sons.
17.
HairJ. F.BlackW. C.BabinB. J.AndersonR. E. (2010) Multivariate data analysis, 7th ed. Upper Saddle River, NJ: Prentice Hall.
18.
HassanzadehA.KanaaniF.ElahiS. (2012) A model for measuring e-learning systems success in universities. Expert Systems with Applications39: 10959–10966.
19.
IslamA. N. (2013) Investigating e-learning system usage outcomes in the university context. Computers & Education69: 387–399.
20.
KaplanB.DuchonD. (1988) Combining qualitative and quantitative methods in information systems research: A case study. MIS Quarterly12: 571–586.
21.
KlementM.DostálJ. (2014) Students and e-learning: A longitudinal research study into university students’ opinions on e-learning. Procedia—Social and Behavioral Sciences128: 175–180.
22.
LeeB.-C.YoonJ.-O.LeeI. (2009) Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education53: 1320–1329.
23.
LeeO.-K.WangM.LimK. H.PengZ. (2009) Knowledge management systems diffusion in Chinese enterprises: A multistage approach using the TOE framework. Journal of Global Information Management17: 70–84.
24.
LegrisP.InghamJ.ColleretteP. (2003) Why do people use information technology? A critical review of the technology acceptance model. Information & Management40: 191–204.
25.
LiawS.-S.HuangH.-M. (2013) Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education60: 14–24.
26.
MotaghianH.HassanzadehA.MoghadamD. K. (2013) Factors affecting university instructors’ adoption of web-based learning systems: Case study of Iran. Computers & Education61: 158–167.
27.
NamisikoP.MunialoC.NyongesaS. (2014) Towards an optimization framework for e-learning in developing countries: A case of private universities in Kenya. Journal of Computer Science and Information Technology2: 131–148.
28.
NkhomaZ.DangD. (2013) Contributing factors of cloud computing adoption: Technology-organisation environment framework approach. International Journal of Information Systems and Engineering1: 38–49.
29.
NohN. M.IsaP. M.SamahS. A.IsaM. A. (2012) Establishing an organisational e-learning culture to motivate lecturers to engage in e-learning in UiTM. Procedia—Social and Behavioral Sciences67: 436–443.
30.
OliveiraT.MartinsM. F. (2011) Literature review of information technology adoption models at firm level. The Electronic Journal Information Systems Evaluation Volume14: 110–121.
31.
Palacios-MarquésD.Cortés-GraoR.CarralC. L. (2013) Outstanding knowledge competences and web 2.0 practices for developing successful e-learning project management. International Journal of Project Management31: 14–21.
32.
PanM.JangW. (2008) Determinants of the adoption of enterprise resource planning within the technology organization-environment framework: Taiwan’s communications industry. Journal of Computer Information Systems48: 94–102.
33.
PersicoD.MancaS.PozziF. (2014) Adapting the technology acceptance model to evaluate the innovative potential of e-learning systems. Computers in Human Behavior30: 614–622.
34.
PorterM.MillarV. (1985) How information gives you competitive advantage. Harvard Business Review63: 149–160.
35.
RaoufJ. B.NaserI. S.JassimB. K. (2012) Determinants of e-learning implementation success in the Iraqi MoHE. Engineering and Technology Journal30: 659–671.
36.
SharmaK.PanditP.PanditP. (2011) Critical success factors in crafting strategic architecture for e learning at HP University. International Journal of Educational Management25: 423–452.
37.
ŠolcM.LegemzaJ.SütőováA. (2012) Experiences with utilizing e-learning in education process in university environment. Procedia—Social and Behavioral Sciences46: 5201–5205.
38.
TagoeM. (2012) Students’ perceptions on incorporating e-learning into teaching and learning at the University of Ghana. International Journal of Education and Development Using Information and Communication Technology8: 91–103.
39.
TornatzkyL.FleischerM. (1990) The processes of technological innovation, Lexington, MA: Lexington Books.
40.
University of Ghana (2014) Handbook: University of Ghana general information, Accra, Ghana: University of Ghana.
41.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425–478.
42.
WuY. L.TaoY.YangP.-C. (2008) Using UTAT to explore the behaviour of 3G mobile communication users. Journal of Statistics & Management Systems11: 919–949.
43.
YeouM. (2016) An investigation of students’ acceptance of moodle in a blended learning setting using technology acceptance model. Journal of Educational Technology Systems44: 300–318.
44.
ZikmundW. G. (2003) Business research methods, Mason, OH: Thomson and South-Western.
