J 2022

Exploring factors influencing students’ continuance intention to use the learning management system (LMS): a multi-perspective framework

ASHRAFI, Amir, Ahad ZARERAVASAN, Sogol RABIEE SAVOJI a Masoumeh AMANI

Základní údaje

Originální název

Exploring factors influencing students’ continuance intention to use the learning management system (LMS): a multi-perspective framework

Autoři

ASHRAFI, Amir (364 Írán), Ahad ZARERAVASAN (364 Írán, garant, domácí), Sogol RABIEE SAVOJI (364 Írán) a Masoumeh AMANI (364 Írán)

Vydání

Interactive Learning Environments, Swets & Zeitlinger Pub. 2022, 1049-4820

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50204 Business and management

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 5.400

Kód RIV

RIV/00216224:14560/22:00129882

Organizační jednotka

Ekonomicko-správní fakulta

UT WoS

000517745700001

EID Scopus

2-s2.0-85080135450

Klíčová slova anglicky

Expectation-confirmation model (ECM); learning management system (LMS); partial least squares (PLS); perceived enjoyment; subjective norm; technology acceptance model (TAM)

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 24. 3. 2024 10:20, Mgr. Pavlína Kurková

Anotace

V originále

In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors influencing students’ continuance intention to use LMS. The present study is an effort towards this research direction by proposing an integrated model of expectation-conformation model (ECM), technology acceptance model (TAM), social influence (subjective norm), and perceived enjoyment (hedonic value). The proposed model is tested using statistical data from 153 university students from Mehralborz University (MAU), Tehran, Iran. To verify the proposed theoretical model, we ran partial least squares (PLS)/ structured equation modeling (SEM). The findings of this study reveal that the perceived usefulness is the strongest predictor of students’ continuance intention. Surprisingly, our results also indicate that students’ attitudes toward LMS and their satisfaction level exert no significant influence on continuance intention. The implications of this study and its limitations are also discussed.

Návaznosti

EF16_027/0008360, projekt VaV
Název: Postdoc@MUNI

Přiložené soubory

Exploring_factors_influencing_students_final.pdf
Požádat o autorskou verzi souboru