Factors Influencing Behavioural Intention to Use MOOCs

• Autorzy: Bilal Khalid , Marcin Lis , Wornchanok Chaiyasoonthorn , Singha Chaveesuk
• Języki publikacji: EN

Abstrakty

EN

This analysis aimed to investigate the factors influencing the behavioural intention to use Massive Open Online Courses (MOOCs) in Thailand and Pakistan. The study was geared towards exploring the MOOCs, a relatively new technology platform allowing the spread of education and learning in various areas and fields and surpassing traditional online courses. The study adopted the UTAUT model with additional two variables of perceived autonomy and absorptive capacity. A quantitative method was applied using primary data collected from a sample of 490 and 513 respondents from Thailand and Pakistan, respectively. The sample size was composed of students in institutions of higher learning who were aware of MOOCs or intended to use them in their studies. The analysis was conducted using the Confirmatory Factor Analysis (CFA) and multi-group structural equation modelling (SEM). The study found that four variables (social influence, absorptive capacity, facilitating conditions and perceived autonomy) significantly influence the student intention to use MOOCs in Thailand and Pakistan. However, two variables (performance expectancy and effort expectancy) did not influence the student intention to use MOOCs in Thailand and Pakistan. The results indicated that the findings between the two countries were invariant. This study extended the model by Venkatesh et al. (2003), including two additional variables, the perceived autonomy and absorptive capacity. The study indicated various aspects related to the response of students using MOOCs. This study is especially beneficial during the COVID-19 pandemic for determining factors that officials of higher institutions of learning should consider when implementing MOOCs and associated online learning programs to deliver quality education to students. (original abstract)

Słowa kluczowe

EN

Technology; High-tech; Education; Online courses; IT education

PL

Technologia; Nowe technologie; Edukacja; Kursy online; Edukacja informatyczna

• Czasopismo: Engineering Management in Production and Services
• Rocznik: 2021
• Numer: nr 2
• Strony: 83--95

Twórcy

autor

Bilal Khalid

• KMITL Business School, Thailand

autor

Marcin Lis

• WSB University, Poland

autor

Wornchanok Chaiyasoonthorn

• KMITL Business School, Thailand

autor

Singha Chaveesuk

• KMITL Business School, Thailand

Bibliografia

• Adamopoulos, P. (2013). What makes a great MOOC? An interdisciplinary analysis of student retention in online courses. ICIS 2013 PROCEEDINGS, 1-21.
• Ahadiat, A., & Dacko-Pikiewicz, Z. (2020). Effects of Ethical Leadership and Employee Commitment on Employees' Work Passion. Polish Journal of Management Studies, 21(2), 24-35. doi: 10.17512/pjms.2020.21.2.02
• Alaeddin, O., Altounjy, R., Zainudin, Z., & Kamarudin, F. (2018). From Physical to Digital: Investigating Consumer Behaviour of Switching to Mobile Wallet. Polish Journal of Management Studies, 17(2), 18-30. doi: 10.17512/pjms.2018.17.2.02
• Alkhunaizan, A.M., & Love, S. (2012). What drives mobile commerce? An empirical evaluation of the revised UTAUT model. International Journal of Management and Marketing Academy, 2(1), 82-99.
• Almatari, A.Y., Iahad, N.A., & Balaid, A.S. (2013). Factors Influencing Students' Intention to Use M-learning. Journal of Information Systems Research and Innovation, 1-8. Retrieved from https://seminar.utmspace.edu.my/Jisri/download/Vol5/Pub1_Factors_to_Use_Mobile_learning.pdf
• Alraja, M.N. (2016). The Effect of Social Influence and Facilitating Conditions on e-Government Acceptance from the Individual Employees' Perspective. Polish Journal of Management Studies, 14(2), 18-27. doi: 10.17512/pjms.2016.14.2.02
• Baj-Rogowska, A. (2020). AutoCAD: examination of factors influencing user adoption. Engineering Management in Production and Services, 12(1), 45-56. doi: 10.2478/emj-2020-0004
• Belanger, Y., & Thornton, J. (2013, February). Bioelectricity: A Quantitative Approach (No. 1). Duke University. Retrieved from https://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/6216/Duke_Bioelectricity_MOOC_Fall2012.pdf?sequence=1&isAllowed=y
• Blackmon, S.J., & Major, C.H. (2017). Wherefore Art Thou MOOC: Defining Massive Open Online Courses. Online Learning, 21(4), 195-221. doi: 10.24059/olj. v21i4.1272
• Browne, M.W., & Cudeck, R. (1992). Alternative Ways of Assessing Model Fit. Sociological Methods & Research, 21(2), 230-258. doi: 10.1177/0049124192021002005
• Cinque, M. (2017). MOOCS AND SOFT SKILLS: A COMPARISON OF DIFFERENT COURSES ON CREATIVITY. Journal of E-Learning and Knowledge Society, 13(3), 83-96. doi: 10.20368/1971-8829/1386
• Drake, J.R., O'Hara, M., & Seeman, E. (2015). Five Principles for MOOC Design: With a Case Study. Journal of Information Technology Education: Innovations in Practice, 14, 125-143. Retrieved from http://www.jite.org/documents/Vol14/JITEv14IIPp125-143Drake0888.pdf
• Ejdys, J. (2021). Factors Affecting the Adoption of e-Learning at University Level. WSEAS Transactions on Business and Economics, 18, 313-323. Retrieved from https://www.wseas.org/multimedia/journals/economics/2021/a645107-011(2021).pdf
• Fianu, E., Blewett, C., Ampong, G., & Ofori, K. (2018). Factors Affecting MOOC Usage by Students in Selected Ghanaian Universities. Education Sciences, 8(2), 70. doi: 10.3390/educsci8020070
• Flavin, M. (2017). Disruptive Technology Enhanced Learning: The Use and Misuse of Digital Technologies in Higher Education (Digital Education and Learning) (1st ed. 2017 ed.). Palgrave Macmillan.
• Formánek, I. (2015). Knowledge Management as an Important Part of Strategic Management. Forum Scientiae Oeconomia, 3(3), 45-50. Retrieved from http://ojs.wsb.edu.pl/index.php/fso/article/view/253/197
• Garcia Mendoza, G.A., Jung, I., & Kobayashi, S. (2017). A Review of Empirical Studies on MOOC Adoption: Applying the Unified Theory of Acceptance and Use of Technology. International Journal for Educational Media and Technology, 11(1), 15-24. Retrieved from https://jaems.jp/contents/icomej/vol11/02_Mendoza.pdf
• Gupta, A., & Dogra, N. (2017). Tourist adoption of mapping apps: a UTAUT2 perspective of smart travellers. Tourism and Hospitality Management, 23(2), 145-161. doi: 10.20867/thm.23.2.6
• Hair, J.F., Ringle, C.M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-152. doi: 10.2753/mtp1069-6679190202
• Hew, K.F., & Cheung, W.S. (2014). Students' and instructors' use of massive open online courses (MOOCs): Motivations and challenges. Educational Research Review, 12, 45-58. doi: 10.1016/j.edurev.2014.05.001
• Hu, L., & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi: 10.1080/10705519909540118
• Jeng, D.J.F., & Tzeng, G.H. (2012). Social influence on the use of Clinical Decision Support Systems: Revisiting the Unified Theory of Acceptance and Use of Technology by the fuzzy DEMATEL technique. Computers & Industrial Engineering, 62(3), 819-828. doi: 10.1016/j.cie.2011.12.016
• Kay, J., Reimann, P., Diebold, E., & Kummerfeld, B. (2013). MOOCs: So Many Learners, So Much Potential . . . IEEE Intelligent Systems, 28(3), 70-77. doi: 10.1109/mis.2013.66
• Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural intentions to use desktop video conferencing in a distance course: integration of autonomy to the UTAUT model. Journal of Computing in Higher Education, 25(2), 93-121. doi: 10.1007/s12528-013-9069-3
• Liu, L., Miguel Cruz, A., Rios Rincon, A., Buttar, V., Ranson, Q., & Goertzen, D. (2014). What factors determine therapists' acceptance of new technologies for rehabilitation - a study using the Unified Theory of Acceptance and Use of Technology (UTAUT). Disability and Rehabilitation, 37(5), 447-455. doi: 10.3109/09638288.2014.923529
• McGuire, R. (2014). The best MOOC provider: A review of Coursera, Udacity, and edX. Skilledup. Retrieved from http://www.skilledup.com/blog/the-best-mooc-provider-a-review-of-coursera-udacity-and-edx/
• Philbin, S.P., & Kennedy, D. (2020). Exploring the need for a new paradigm in engineering management and the decision-making process in technology-based organ-isations. Engineering Management in Production and Services, 12(4), 7-21. doi: 10.2478/emj-2020-0024
• Sam, M.F.M., & Baharin, S.N.F. (2018). The Factors Which Influencing Users' Behavioral Intention Towards Using Online Booking System for Car Service at Car Service Centre in Malacca. COJ Electronics & Communications, 1(4), 1-7. doi: 10.31031/COJEC.2018.01.000517
• Seeman, E., Drake, J.R., & Mayasami, R. (2013). The economics of emerging markets: Exploring the transformation of developing economies into developed nation status. Grant proposal for University of North Carolina General Administration's Emerging Markets MOOC RFP.
• Schumacker, R.E., Lomax, R.G., & Schumacker, R. (2015). A Beginner's Guide to Structural Equation Modeling: Fourth Edition (4th ed.). Routledge.
• Scuotto, V., Del Giudice, M., & Carayannis, E.G. (2016). The effect of social networking sites and absorptive capacity on SMES' innovation performance. The Journal of Technology Transfer, 42(2), 409-424. doi: 10.1007/s10961-016-9517-0
• Shah, D. (2020, November 30). By The Numbers: MOOCs in 2019 - Class Central. The Report by Class Central. Retrieved from https://www.classcentral.com/report/mooc-stats-2019/
• Sierens, E., Vansteenkiste, M., Goossens, L., Soenens, B., & Dochy, F. (2009). The synergistic relationship of perceived autonomy support and structure in the prediction of self-regulated learning. British Journal of Educational Psychology, 79(1), 57-68. doi: 10.1348/000709908x304398
• Stuss, M.M., Szczepańska-Woszczyna, K., & Makieła, Z.J. (2019). Competences of Graduates of Higher Education Business Studies in Labor Market I (Results of Pilot Cross-Border Research Project in Poland and Slovakia). Sustainability, 11(18), 4988. doi: 10.3390/su11184988
• Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. doi: 10.2307/30036540
• Wang, H.Y., & Wang, S.H. (2010). User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences. Social Behavior and Personality: An International Journal, 38(3), 415-426. doi: 10.2224/sbp.2010.38.3.415
• Welsh, D.H.B., & Dragusin, M. (2013). The New Generation of Massive Open Online Course (MOOCS) and Entrepreneurship Education. Small Business Institute® Journal, 9(1), 51-65. Retrieved from https://libres.uncg.edu/ir/uncg/f/D_Welsh_New_2013.pdf

Identyfikatory

DOI

https://doi.org/10.2478/emj-2021-0014