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EuroSymposium on Systems Analysis and Design

SIGSAND/PLAIS 2018: Information Systems: Research, Development, Applications, Education pp 68–85Cite as

Determinants of Academic E-Learning Systems Acceptance

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 333))

Abstract

From the beginning of the e-learning technology era, many concerns have been raised regarding the use of e-learning systems in everyday academic didactics. Thus, a number of relevant studies have been conducted in the field of e-learning acceptance, mostly with the help of the Unified Theory of Acceptance and Use of Technology (UTAUT). This study investigates factors which influence the acceptance of academic e-learning technologies with the use of the modified UTAUT model. The basic UTAUT model was extended by new factors under examination: system interactivity (SIN) and the area of scientific expertise (ASE). In the survey, a total number of 242 academic teachers were asked to fill out the UTAUT-formatted questionnaire to determine their intention to use e-learning. Therefore, the paper contributes to technology acceptance theory, applied in e-learning, by extending the UTAUT model with two new variables—ASE and SIN—and by verifying the model validating their usefulness. Study results are also valuable for practitioners, such as e-learning systems designers and developers. Factors such as performance expectancy, system interactivity, and area of scientific expertise were crucial for e-learning system development, to ensure that such an information system is widely accepted by end users such as faculty.

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Authors and Affiliations

  1. Department of Business Informatics, University of Gdansk, Jana Bażyńskiego 8, 80-309, Gdańsk, Poland

    Stanislaw Wrycza & Michal Kuciapski

Authors
  1. Stanislaw Wrycza
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  2. Michal Kuciapski
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Correspondence to Michal Kuciapski .

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Editors and Affiliations

  1. Department of Business Informatics, University of Gdansk, Gdansk, Poland

    Stanisław Wrycza

  2. Department of Business Informatics, University of Gdansk, Gdansk, Poland

    Jacek Maślankowski

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Wrycza, S., Kuciapski, M. (2018). Determinants of Academic E-Learning Systems Acceptance. In: Wrycza, S., Maślankowski, J. (eds) Information Systems: Research, Development, Applications, Education. SIGSAND/PLAIS 2018. Lecture Notes in Business Information Processing, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-00060-8_6

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  • DOI: https://doi.org/10.1007/978-3-030-00060-8_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00059-2

  • Online ISBN: 978-3-030-00060-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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