IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v14y2022i1p1-17.html
   My bibliography  Save this article

A Hybrid Integration of PLS-SEM, AHP, and FAHP Methods to Evaluate the Factors That Influence the Use of an LMS

Author

Listed:
  • Evgjeni Xhafaj

    (Polytechnic University of Tirana, Albania)

  • Daniela Halidini Qendraj

    (University Alexander Moisiu Durres, Albania)

  • Alban Xhafaj

    (INTRUM ITALY, S.p.A, Rome, Italy)

  • Neime Gjikaj

    (University Alexander Moisiu Durres, Albania)

Abstract

The development of learning management systems (LMS) has an integral role to the promotion of new alternatives in relation to improve teaching and learning for universities. This study proposes the determination of the constructs that influence learning management system adoption and use. The conceptual framework has been developed on the basis of the expansion of technology acceptance model 3 (TAM3) including the constructs perceived usefulness (PU), perceived ease of use (PEOU), subjective norm (SN), behavioral intention (BI), use behavior (UB). The paper deals with the integration of the three approaches partial least square-structural equation model (PLS-SEM), analytic hierarchic process (AHP), and fuzzy analytic hierarchy process (FAHP). PLS-SEM has determined the reliability, the validity of the constructs, and tested the model's hypotheses. These results have been integrated into the AHP and FAHP methods to evaluate the importance of the constructs. These results will be especially useful to enhance the higher education policies.

Suggested Citation

  • Evgjeni Xhafaj & Daniela Halidini Qendraj & Alban Xhafaj & Neime Gjikaj, 2022. "A Hybrid Integration of PLS-SEM, AHP, and FAHP Methods to Evaluate the Factors That Influence the Use of an LMS," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 14(1), pages 1-17, January.
  • Handle: RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.286697
    Download Restriction: no
    ---><---

    More about this item

    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:igg:jdsst0:v:14:y:2022:i:1:p:1-17. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.