IDEAS home Printed from https://ideas.repec.org/a/vrs/mjsosc/v9y2018i3p201-216n20.html
   My bibliography  Save this article

Investigating The Effect of Behavioral Intention on E-learning Systems Usage: Empirical Study on Tertiary Education Institutions in Ghana

Author

Listed:
  • Budu Kenneth Wilson Adjei
  • Yinping Mu

    (School of Management and Economics, University of Electronic, Science, and Technology of China (UESTC), China)

  • Mireku Kingsford Kissi

    (Information and Software Engineering, University of Electronic, Science, and Technology of China (UESTC), China)

Abstract

The objective of the study aimed at assessing the relationship that exists between antecedents of behavioral intentions, and how they impact on the usage of E-learning systems in tertiary institutions in Ghana. Empirical data for the study was obtained through a survey from 237 respondents made up of; governing council members, school management members, faculty members, ICT department staff and students from five tertiary education institutions in Ghana. The study developed an extended Technology Acceptance Model (TAM) by incorporating an external variable, self-efficacy. The hypothesized model was examined using Partial Least Squares Structural Equation Modelling (PLSSEM) technique using Smart PLS version 12 software. The paper argues that perceived usefulness, perceived ease of use and self-efficacy influenced individual’s behavioral intentions to utilize E-learning systems. However, the findings confirm that, through the mediating role of individuals’ behavioral intention to use, self-efficacy is the most influential factor that affects individual’s behavioral intentions to utilize E-learning systems in Ghana’s tertiary education institutions, relative to perceived usefulness and perceived ease of use. This result implies that self-efficacy is the main behavioral intention factor in determining E-learning system utilization, in Ghana’s tertiary education context. This study satisfies or fills an E-learning utilization literature shortfall by the extension of the Technological Acceptance Model (TAM) to investigate antecedents of behavioral intentions and their impact on E-learning systems usage among tertiary education institutions. Also, the study demonstrates the importance of behavioral intention-to-use as playing a full mediating role between self-efficacy and E-learning system usage.

Suggested Citation

  • Budu Kenneth Wilson Adjei & Yinping Mu & Mireku Kingsford Kissi, 2018. "Investigating The Effect of Behavioral Intention on E-learning Systems Usage: Empirical Study on Tertiary Education Institutions in Ghana," Mediterranean Journal of Social Sciences, Sciendo, vol. 9(3), pages 201-216, May.
  • Handle: RePEc:vrs:mjsosc:v:9:y:2018:i:3:p:201-216:n:20
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/mjss.2018.9.issue-3/mjss-2018-0062/mjss-2018-0062.xml?format=INT
    Download Restriction: no

    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:vrs:mjsosc:v:9:y:2018:i:3:p:201-216:n:20. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla). General contact details of provider: https://www.sciendo.com/services/journals .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.