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Knowledge management and organizational learning to improve the organizational performance of mines in Indonesia

Bibliographic Data

ID22188677
AuthorsIsmi Rajiani (0000-0002-4316-0501, Lambung Mangkurat University), Normuslim Normuslim (University of Islamic Studies)
Year2023
Volume7
Issue2
Pages2227
Publication date2023-08-15
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd.v7i2.2227
OpenAlexW4385876349
LanguageEN
Citations received3
References cited12

The mining sector faces a complex dilemma as an economic development agent through social upliftment in places where mining corporations operate. Resource extraction is destructive and non-renewable, making it dirty and unsustainable. To ensure corporate sustainability, this paper examines the effects of knowledge management (KM), organizational learning (OL), and innovation capability (IC) on Indonesian coal mining’s organizational performance (OP). We used factor and path analysis to examine the relationships between the above constructs. After forming a conceptual model, principal component analysis validated the factor structure of a collection of observed variables. Path analysis examined the theories. The hypothesized framework was confirmed, indicating a positive association between constructs. However, due to mining industry peculiarities, IC does not affect organizational performance (OP). This study supports the importance of utilizing people and their relevant skills to improve operational performance. The findings have implications for managers of coal mining enterprises, as they suggest that KM and OL are critical drivers of OP. Managers should focus on creating an environment that facilitates knowledge sharing and learning, as this will help improve their organizations’ performance

Business · Coal · Coal mining · Dilemma · Knowledge management · Knowledge sharing · Organizational learning · Organizational performance · Structural equation modeling · Sustainability · Computer Science · Engineering · Mining Techniques and Economics

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Citations per year1
Citation span2023 - 2024 (2)
Highly citedNo

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