IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i15p9279-d874571.html
   My bibliography  Save this article

A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use

Author

Listed:
  • Samer Ali Al-shami

    (Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, Melaka 76100, Malaysia)

  • Salem Aldahmani

    (Institute of Technology Management and Entrepreneurship, Universiti Teknikal Malaysia Melaka, Melaka 76100, Malaysia)

  • Massila Kamalrudin

    (Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Melaka 76100, Malaysia)

  • Nabil Hasan Al-Kumaim

    (Faculty of Technology Management and Technopreneurship, Universiti Teknikal Malaysia Melaka, Melaka 76100, Malaysia)

  • Abdullah Al Mamun

    (Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia)

  • Mohammed Al-shami

    (Yemen Faculty of Education, Sana’a University, Sana’a 1247, Yemen)

  • Mustafa Musa Jaber

    (Department of Medical Instruments Engineering Techniques, Al-Turath University College, Baghdad 10021, Iraq
    Department of Medical Instruments Engineering Techniques, Alfarahidi University, Baghdad 10021, Iraq)

Abstract

Massive open online courses have been regarded as effective technological innovations that improve educational systems in the era of digitalisation. However, only 10% of the registered students complete their courses. This study aims to examine the motivational and technological factors and contextual features on students’ continuous intention to use. A questionnaire was gathered from 315 of students in the UAE and revealed that social motivational and technological factors driven by the technology acceptance model and technology task fit theory significantly influenced the students’ continuance intention to use. This study also revealed that contextual features including language use and course accreditation are important indicators determining students’ behaviours toward the use. Hence, this study proposed an integrative model to explain ways to improve continuance intention to use. This study contributes to the sustainable use of massive open online courses in developing countries through an integrative model.

Suggested Citation

  • Samer Ali Al-shami & Salem Aldahmani & Massila Kamalrudin & Nabil Hasan Al-Kumaim & Abdullah Al Mamun & Mohammed Al-shami & Mustafa Musa Jaber, 2022. "A Model of Motivational and Technological Factors Influencing Massive Open Online Courses’ Continuous Intention to Use," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9279-:d:874571
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/15/9279/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/15/9279/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liyong Wan & Shoumei Xie & Ai Shu, 2020. "Toward an Understanding of University Students’ Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model," SAGE Open, , vol. 10(3), pages 21582440209, July.
    2. Liao, Chechen & Palvia, Prashant & Chen, Jain-Liang, 2009. "Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)," International Journal of Information Management, Elsevier, vol. 29(4), pages 309-320.
    3. Ann Bourke, 2000. "A Model of the Determinants of International Trade in Higher Education," The Service Industries Journal, Taylor & Francis Journals, vol. 20(1), pages 110-138, January.
    4. Robert M. Fuller & Alan R. Dennis, 2009. "Does Fit Matter? The Impact of Task-Technology Fit and Appropriation on Team Performance in Repeated Tasks," Information Systems Research, INFORMS, vol. 20(1), pages 2-17, March.
    5. Raquel L. Pérez-Nicolás & Carlos Alario-Hoyos & Iria Estévez-Ayres & Pedro Manuel Moreno-Marcos & Pedro J. Muñoz-Merino & Carlos Delgado Kloos, 2021. "Evaluation of an Algorithm for Automatic Grading of Forum Messages in MOOC Discussion Forums," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    6. Sujeet Kumar Sharma, 2019. "Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling," Information Systems Frontiers, Springer, vol. 21(4), pages 815-827, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francisco Liébana-Cabanillas & Nidhi Singh & Zoran Kalinic & Elena Carvajal-Trujillo, 2021. "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments: a multi-analytical approach," Information Technology and Management, Springer, vol. 22(2), pages 133-161, June.
    2. Wu Li & Pengya Ai & Annette Ding, 2023. "More Than Just Numbers: How Engagement Metrics Influence User Intention to Pay for Online Knowledge Products," SAGE Open, , vol. 13(1), pages 21582440221, January.
    3. Abhipsa Pal & Tejaswini Herath & Rahul De’ & H. Raghav Rao, 2021. "Is the Convenience Worth the Risk? An Investigation of Mobile Payment Usage," Information Systems Frontiers, Springer, vol. 23(4), pages 941-961, August.
    4. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    5. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    6. Raed S. Algharabat & Nripendra P. Rana, 0. "Social Commerce in Emerging Markets and its Impact on Online Community Engagement," Information Systems Frontiers, Springer, vol. 0, pages 1-22.
    7. Zhou, Qingji & Lim, Fong Jie & Yu, Han & Xu, Gaoqian & Ren, Xiaoyu & Liu, Dan & Wang, Xiangxin & Mai, Xinda & Xu, Hong, 2021. "A study on factors affecting service quality and loyalty intention in mobile banking," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Soo, Kwok Tong & Elliott, Caroline, 2010. "Does price matter? Overseas students in UK higher education," Economics of Education Review, Elsevier, vol. 29(4), pages 553-565, August.
    9. Thitinan Pholsook & Warit Wipulanusat & Poomporn Thamsatitdej & Sarawut Ramjan & Jirapon Sunkpho & Vatanavongs Ratanavaraha, 2023. "A Three-Stage Hybrid SEM-BN-ANN Approach for Analyzing Airport Service Quality," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    10. Nadire Cavus & Yakubu Bala Mohammed & Mohammed Nasiru Yakubu, 2021. "An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    11. Javid Nafari & Alireza Arab & Sina Ghaffari, 2017. "Through the Looking Glass: Analysis of Factors Influencing Iranian Student’s Study Abroad Motivations and Destination Choice," SAGE Open, , vol. 7(2), pages 21582440177, June.
    12. Hung-pin Shih & Kee-hung Lai & T. C. E. Cheng, 2015. "Examining structural, perceptual, and attitudinal influences on the quality of information sharing in collaborative technology use," Information Systems Frontiers, Springer, vol. 17(2), pages 455-470, April.
    13. Mkombo, Alfred Lameck & Wahua, Lawrence, 2024. "Review of Behavioural Intention to use Mobile Financial Services," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(1), pages 1520-1538, January.
    14. Seung-hye Jung & Joon-ho Kim & Ha-na Cho & Hae-won Lee & Hyun-ju Choi, 2021. "Brand Personality of Korean Dance and Sustainable Behavioral Intention of Global Consumers in Four Countries: Focusing on the Technological Acceptance Model," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    15. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    16. Norbert Koppenhagen & Benjamin Mueller & Alexander Maedche & Ye Li & Stephanie Hiller, 2016. "Designing a supply network artifact for data, process, and people integration," Information Systems and e-Business Management, Springer, vol. 14(3), pages 613-636, August.
    17. Malik Fahim Bashir & Changsheng Xu & Khalid Zaman & Ghulam Akhmat, 2014. "Key Factors Determining the Rationale for Brain Drain: An Irony Never Recovered," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 2(8), pages 308-320, August.
    18. O. Vasiurenko & V. LYASHENKO, 2020. "Wavelet coherence as a tool for retrospective analysis of bank activities," Economy and Forecasting, Valeriy Heyets, issue 2, pages 43-60.
    19. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    20. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9279-:d:874571. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.