Influencing factors on students' continuance intention to use
Learning Management System (LMS)

D 2019

Influencing factors on students' continuance intention to use Learning Management System (LMS)

ZARERAVASAN, Ahad a A. ASHRAFI

Základní údaje

Originální název

Influencing factors on students' continuance intention to use Learning Management System (LMS)

Autoři

ZARERAVASAN, Ahad (203 Česká republika, domácí) a A. ASHRAFI (840 Spojené státy)

Vydání

NEW YORK, PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2019), od s. 165-169, 5 s. 2019

Nakladatel

ASSOC COMPUTING MACHINERY

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14560/19:00120602

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-1-4503-7188-9

DOI

http://dx.doi.org/10.1145/3357419.3357429

UT WoS

000518414100033

Klíčová slova anglicky

Expectation-confirmation theory (ECT); Learning management system (LMS); Technology acceptance model (TAM)

Změněno: 16. 5. 2022 08:19, Mgr. Pavlína Kurková

Anotace

V originále

In the last decades, universities and higher education institutes have widely employed learning management system (LMS) to monitor and manage online 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 Theory (ECT), and Technology Acceptance Model (TAM). The proposed model was tested using statistical data from 153 students from an online university. To verify the proposed theoretical model, we ran partial least squares (PLS)/structured equation modeling (SEM). The findings of this study revealed that the perceived usefulness is the strongest predictor of students' continuance intention. Surprisingly, our results also indicated that students' attitude toward LMS and their satisfaction level exert no significant influence on continuance intention.

Citovat

ZARERAVASAN, Ahad a A. ASHRAFI. Influencing factors on students' continuance intention to use Learning Management System (LMS). Online. In PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2019). NEW YORK: ASSOC COMPUTING MACHINERY, 2019, s. 165-169. ISBN 978-1-4503-7188-9. Dostupné z: https://dx.doi.org/10.1145/3357419.3357429.

@inproceedings{1648837,
   author = {Zareravasan, Ahad and Ashrafi, A.},
   address = {NEW YORK},
   booktitle = {PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2019)},
   doi = {http://dx.doi.org/10.1145/3357419.3357429},
   keywords = {Expectation-confirmation theory (ECT); Learning management system (LMS); Technology acceptance model (TAM)},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-1-4503-7188-9},
   pages = {165-169},
   publisher = {ASSOC COMPUTING MACHINERY},
   title = {Influencing factors on students' continuance intention to use Learning Management System (LMS)},
   year = {2019}
}

TY  - JOUR
ID  - 1648837
AU  - Zareravasan, Ahad - Ashrafi, A.
PY  - 2019
TI  - Influencing factors on students' continuance intention to use Learning Management System (LMS)
PB  - ASSOC COMPUTING MACHINERY
CY  - NEW YORK
SN  - 9781450371889
KW  - Expectation-confirmation theory (ECT)
KW  - Learning management system (LMS)
KW  - Technology acceptance model (TAM)
N2  - In the last decades, universities and higher education institutes have widely employed learning management system (LMS) to monitor and manage online 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 Theory (ECT), and Technology Acceptance Model (TAM). The proposed model was tested using statistical data from 153 students from an online university. To verify the proposed theoretical model, we ran partial least squares (PLS)/structured equation modeling (SEM). The findings of this study revealed that the perceived usefulness is the strongest predictor of students' continuance intention. Surprisingly, our results also indicated that students' attitude toward LMS and their satisfaction level exert no significant influence on continuance intention.
ER  -

ZARERAVASAN, Ahad a A. ASHRAFI. Influencing factors on students' continuance intention to use Learning Management System (LMS). Online. In \textit{PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND MANAGEMENT (ICICM 2019)}. NEW YORK: ASSOC COMPUTING MACHINERY, 2019, s.~165-169. ISBN~978-1-4503-7188-9. Dostupné z: https://dx.doi.org/10.1145/3357419.3357429.

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