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Influential factors of collaborative networks in manufacturing: Validation of a conceptual model

Complex networks; Manufacture; Surveys; Collaborative network; Manufacturing environments; Manufacturing industries; Networked learning; Organizational learning; Organizational support; Sociotechnical systems; Sociotechnical systems theory; Engineering education

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Main Authors: Quik W.H., Wright N., Rashid A., Thiruchelvam S.
Other Authors: 56437668700
Format: Article
Published: Informing Science Institute 2023
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spelling my.uniten.dspace-225442023-05-29T14:01:50Z Influential factors of collaborative networks in manufacturing: Validation of a conceptual model Quik W.H. Wright N. Rashid A. Thiruchelvam S. 56437668700 24333828400 35933064200 55812442400 Complex networks; Manufacture; Surveys; Collaborative network; Manufacturing environments; Manufacturing industries; Networked learning; Organizational learning; Organizational support; Sociotechnical systems; Sociotechnical systems theory; Engineering education The purpose of the study is to identify influential factors in the use of collaborative networks within the context of manufacturing. The study aims to investigate factors that influence employees' learning, and to bridge the gap between theory and praxis in collaborative networks in manufacturing. The study further extends the boundary of a collaborative network beyond enterprises to include suppliers, customers, and external stakeholders. It provides a holistic perspective of collaborative networks within the complexity of the manufacturing environment, based on empirical evidence from a questionnaire survey of 246 respondents from diverse manufacturing industries. Drawing upon the socio-technical systems (STS) theory, the study presents the theoretical context and interpretations through the lens of manufacturing. The results show significant influences of organizational support, promotive interactions, positive interdependence, internalexternal learning, perceived effectiveness, and perceived usefulness on the use of collaborative networks among manufacturing employees. The study offers a basis of empirical validity for measuring collaborative networks in organizational learning and knowledge/information sharing in manufacturing. Final 2023-05-29T06:01:50Z 2023-05-29T06:01:50Z 2015 Article 2-s2.0-84932636067 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84932636067&partnerID=40&md5=c63ed56052721f767059910effb29878 https://irepository.uniten.edu.my/handle/123456789/22544 10 1 19 Informing Science Institute Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Complex networks; Manufacture; Surveys; Collaborative network; Manufacturing environments; Manufacturing industries; Networked learning; Organizational learning; Organizational support; Sociotechnical systems; Sociotechnical systems theory; Engineering education
author2 56437668700
author_facet 56437668700
Quik W.H.
Wright N.
Rashid A.
Thiruchelvam S.
format Article
author Quik W.H.
Wright N.
Rashid A.
Thiruchelvam S.
spellingShingle Quik W.H.
Wright N.
Rashid A.
Thiruchelvam S.
Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
author_sort Quik W.H.
title Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
title_short Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
title_full Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
title_fullStr Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
title_full_unstemmed Influential factors of collaborative networks in manufacturing: Validation of a conceptual model
title_sort influential factors of collaborative networks in manufacturing: validation of a conceptual model
publisher Informing Science Institute
publishDate 2023
_version_ 1806424032445202432
score 13.211869

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