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

  • Wee Hock Quik
  • , Nevan Wright
  • , Ammar Rashid
  • , Sivadass Thiruchelvam
  • Pentair Flow and Filtration Solutions
  • Auckland Institute of Studies
  • University of Central Punjab
  • Universiti Tenaga Nasional

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalInterdisciplinary Journal of Information, Knowledge, and Management
Volume10
StatePublished - 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Collaborative networked learning
  • Collaborative networks
  • Employees' learning
  • Socio-technical systems theory

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