Determinants of academic e-learning systems acceptance

Stanisław Wrycza , Michał Kuciapski

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.
Author Stanisław Wrycza (FM / DBI)
Stanisław Wrycza,,
- Department of Business Informatics
, Michał Kuciapski (FM / DBI)
Michał Kuciapski,,
- Department of Business Informatics
Pages68-85
Publication size in sheets0.85
Book Wrycza Stanisław, Maślankowski Jacek (eds.): Information systems: research, development, applications, education: 11th SIGSAND/PLAIS EuroSymposium 2018, Gdansk, Poland, September 20, 2018: proceedings, Lecture Notes in Business Information Processing, no. 333, 2018, Springer, ISBN 978-3-030-00059-2, [978-3-030-00060-8], 215 p., DOI:10.1007/978-3-030-00060-8
Keywords in Englishinformation systems, e-learning, UTAUT technology acceptance, higher education, faculty
ASJC Classification1802 Information Systems and Management; 2611 Modelling and Simulation; 1710 Information Systems; 1403 Business and International Management; 2207 Control and Systems Engineering; 1404 Management Information Systems
DOIDOI:10.1007/978-3-030-00060-8_6
URL https://rd.springer.com/content/pdf/10.1007%2F978-3-030-00060-8_6.pdf
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 28-01-2020, ChapterFromConference
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.534
Citation count*2 (2020-03-20)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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