IDEAS home Printed from https://ideas.repec.org/a/ibn/hesjnl/v11y2021i3p1.html
   My bibliography  Save this article

What Determines Student Satisfaction in an E-learning Environment? A Comprehensive Literature Review of Key Success Factors

Author

Listed:
  • Phillip C. James

Abstract

COVID-19 has significantly changed the teaching-learning process and it may indeed be a permanent change. Schools, colleges and universities have had to switch to remote/e-learning in an attempt to continue their operations during the pandemic. Institutions have struggled to identify the key success factors necessary for effective e-learning. While there have been some studies that have identified a few key factors, there has not been a comprehensive review of the key success factors for effective e-learning. This paper fills that gap by presenting a detailed examination of the critical success factors required for effective e-learning. The results show that success in e-learning is a complex combination of key factors such as institutional/administrative support, systems configuration and technical design, the level of computer skills among learners, learners’ interpersonal behavior, e-learning readiness, learner motivation, computer anxiety, self-efficacy, instructors’ characteristics, environmental factors and the demand it imposes on learners of varying age and cognitive maturity.

Suggested Citation

  • Phillip C. James, 2021. "What Determines Student Satisfaction in an E-learning Environment? A Comprehensive Literature Review of Key Success Factors," Higher Education Studies, Canadian Center of Science and Education, vol. 11(3), pages 1-1, August.
  • Handle: RePEc:ibn:hesjnl:v:11:y:2021:i:3:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/hes/article/download/0/0/45244/47988
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/hes/article/view/0/45244
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    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. Dalal Bamufleh & Amani Saud Alshamari & Asrar Saud Alsobhi & Hanan Hisham Ezzi & Waad Sultan Alruhaili, 2021. "Exploring Public Attitudes toward E-Government Health Applications Used During the COVID-19 Pandemic: Evidence from Saudi Arabia," Computer and Information Science, Canadian Center of Science and Education, vol. 14(3), pages 1-1, August.
    2. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    3. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    4. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    5. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    6. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    7. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    8. Aixia Li & A. Y. M. Atiquil Islam & Xiaoqing Gu, 2021. "Factors Engaging College Students in Online Learning: An Investigation of Learning Stickiness," SAGE Open, , vol. 11(4), pages 21582440211, November.
    9. Dehghani, Milad & William Kennedy, Ryan & Mashatan, Atefeh & Rese, Alexandra & Karavidas, Dionysios, 2022. "High interest, low adoption. A mixed-method investigation into the factors influencing organisational adoption of blockchain technology," Journal of Business Research, Elsevier, vol. 149(C), pages 393-411.
    10. Gelderman, Maarten, 1997. "Task difficulty, task variability and satisfaction with management support systems: consequences and solutions ˜," Serie Research Memoranda 0053, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    11. Elvis C. Foster, 2016. "Towards Measuring the Impact of Management Support Systems on Contemporary Management," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 2(4), pages 389-404, October.
    12. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    13. repec:thr:techub:1009:y:2020:i:1:p:397-404 is not listed on IDEAS
    14. Morteza Ghobakhloo & Masood Fathi, 2019. "Modeling the Success of Application-Based Mobile Banking," Economies, MDPI, vol. 7(4), pages 1-21, November.
    15. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    16. Wasfi Al-Rawabdah & Adel A. Salloum & Serene Zakaria Tarawneh, 2021. "The Moderating Role Of Factors That Influence User Adoption Of Mobile Health Applications: Evidence From Jordan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 15(1), pages 1-18.
    17. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams & Vishanth Weerakkody, 2015. "Investigating success of an e-government initiative: Validation of an integrated IS success model," Information Systems Frontiers, Springer, vol. 17(1), pages 127-142, February.
    18. Nawal Abdalla Adam, 2016. "An Empirical Investigation of the Impact of Technological Factors on Computer ¨C Based Information Systems (CBIS) Usage by Managers in Banking Sector in Sudan," Journal of Social Science Studies, Macrothink Institute, vol. 3(1), pages 12-22, January.
    19. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    20. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    21. Barbara H. Wixom & Peter A. Todd, 2005. "A Theoretical Integration of User Satisfaction and Technology Acceptance," Information Systems Research, INFORMS, vol. 16(1), pages 85-102, March.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:hesjnl:v:11:y:2021:i:3:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.