Artikel
Reinforcing learning organization by self-directed learning through massive open online courses: a lesson learned from Covid-19 pandemic
The process of learning in companies or adult learning continues to develop and change. It is necessary to make learning to be more relevant, accessible, and supporting work performance. On the other hand, there are a number of factors contributing to the implementation of impactful learning, learning organization, or self-directed learning. This study aims to analyse the relation between learning organization, motivation, self-management, MOOC self-monitoring, and self-monitoring as moderation of motivation and self-management toward retail/commercial industry employees who have accessed course or MOOC course in Indonesia at least once. This study was distributed via online to 273 retail employees in Indonesia for 4 months since December 2021 until March 2022. SEM PLS method is utilized during data processing stage. The result of this study supports four hypotheses proposed herein. Learning organization influences motivation in the self-directed learning of MOOC course. Motivation also influences self-management toward the MOOC teachers and so does motivation to self-monitoring toward MOOC learners, meanwhile self-monitoring mediates motivation with self-management. Motivation, self-monitoring, and self-management are key factors that describe self-directed learning highlighted in this study.
- Sprache
-
Englisch
- Erschienen in
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Journal: Cogent Business & Management ; ISSN: 2331-1975 ; Volume: 10 ; Year: 2023 ; Issue: 2 ; Pages: 1-21
- Klassifikation
-
Management
- Thema
-
Learning organization
motivation
self-directed learning
self-management
self-monitoring
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ferdianto, Samuel
Anindita, Rina
- Ereignis
-
Veröffentlichung
- (wer)
-
Taylor & Francis
- (wo)
-
Abingdon
- (wann)
-
2023
- DOI
-
doi:10.1080/23311975.2023.2213968
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Ferdianto, Samuel
- Anindita, Rina
- Taylor & Francis
Entstanden
- 2023
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