Integration of the Technology Acceptance Model and the Information Systems Success Model in the Analysis of Moodle's Satisfaction and Continuity of Use

Autor/inn/en	Legramante, Douglas; Azevedo, Ana; Azevedo, Jose Manuel
Titel	Integration of the Technology Acceptance Model and the Information Systems Success Model in the Analysis of Moodle's Satisfaction and Continuity of Use
Quelle	In: International Journal of Information and Learning Technology, 40 (2023) 5, S.467-484 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Legramante, Douglas) ORCID (Azevedo, Ana) ORCID (Azevedo, Jose Manuel)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2056-4880
DOI	10.1108/IJILT-12-2022-0231
Schlagwörter	Technology Integration; Undergraduate Students; Learning Management Systems; Student Attitudes; Educational Quality; Usability; Student Satisfaction; Student Behavior; Intention; Electronic Learning; College Faculty; Teacher Attitudes; Foreign Countries; Brazil + Suchen Sie Ihr Suchwort? Schülerverhalten; Quality of education; Bildungsqualität; Student behaviour; Fakultät; Lehrerverhalten; Ausland; Brasilien
Abstract	Purpose: This paper aims to analyse the factors that influence the satisfaction and intention of continuity of use, of teachers and students, regarding using Moodle in undergraduate courses in one Campus at the Federal Institute of Rondônia in Brazil. The starting point was an integration of DeLone and McLean's Information Systems Success Model (ISSM) with Davis' Technology Acceptance Model (TAM). Design/methodology/approach: A quantitative research approach was adopted. After the definition of the hypotheses, data were collected through self-administered questionnaires. The questionnaires were designed to measure the five constructs: Quality of Information (QI), Perceived Ease of Use (PEOU), Perceived Usefulness (PU), User Satisfaction (US) and Behavioural Intention to use (BI) that make up the conceptual model of the study. The data were analysed based on 144 valid questionnaires. The technique of maximum likelihood estimation was adopted in the data analysis through structural equation modelling (SEM). Findings: The results confirmed six of the nine hypothesised relationships. QI positively impacts PEOU and US. PEOU positively impacts PU, which in turn positively impacts US and BI. Similarly, US positively impacts Moodle's BI. It was also evidenced that PU is the strongest predictor of US. Practical implications: These results can help educational institutions, managers, administrators and designers of e-learning systems to develop strategies to increase Moodle's user satisfaction. Originality/value: This study provides insights into the perception of students and teachers regarding the use of Moodle. A model that integrates constructs from two models widely used in research related to e-learning (TAM and ISSM) was used in a developing country context. This is important, given cultural differences and social idiosyncrasies in different contexts, particularly in an educational institution in the Amazonia region in northern Brazil. (As Provided).
Anmerkungen	Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01