Industrial Service Flexibility and Regional Network Collaboration in Industrial Clusters

Authors

  • Pham Thi Minh Ly Ton Duc Thang University
  • Wen-Hsiang Lai Feng Chia University, Taiwan

DOI:

https://doi.org/10.23055/ijietap.2020.27.2.2465

Keywords:

Industry Service Flexibility (ISF), Regional Network Collaboration (RNC), Taiwan Machinery Industry (TMI), Industrial cluster

Abstract

Industry clusters link firms in specific industries in a geographical area and comprise vertical and horizontal business supply chain partners. Industrial service flexibility (ISF) is strongly related to goal-driven innovation within clusters in a regional network. The regional network collaboration (RNC) facilitates commerce and service relationships by coordinating production and merchandise flows. This study reviews relevant academic literature and divides the dimensions of ISF efficiency into “internal ISF” and “external ISF”. This study further explores the influential factors of RNC as dimensions of “geography”, “resource” and “network”. This study finds that the “distance proximity” and “company scale” are not significant to the efficiency of internal and external ISFs. “Talent resource” and “information network” provide significant linkages to the efficiency of internal and external ISFs. Finally, in order to improve the efficiency of ISF, “network information” is important to the internal ISF, and “network interaction” is an indispensable element in external ISF.

Author Biographies

Pham Thi Minh Ly, Ton Duc Thang University

Dr. Pham Thi Minh Ly is a Professor in the Department of Business Administration at Ton Duc Thang University, Vietnam.

Wen-Hsiang Lai, Feng Chia University, Taiwan

Dr. Wen-Hsiang Lai is a Professor in the Graduate Institute of Management of Technology at Feng Chia University, Taiwan. His academic research mainly focuses on the areas of R&D management, such as the fields of technology transfer, R&D alliance, optimization of knowledge accumulation and engineering outsourcing, university-industry collaboration, and R&D performance evaluation. His research often adapts quantitative methods, such as the optimization calculation, fuzzy analytic hierarchy process (fuzzy AHP), fuzzy multiple criteria decision-making (fuzzy MCDM), and some other statistical methods to analyze research data collected from questionnaires and interviews.

Published

2020-06-10

How to Cite

Ly, P. T. M., & Lai, W.-H. (2020). Industrial Service Flexibility and Regional Network Collaboration in Industrial Clusters. International Journal of Industrial Engineering: Theory, Applications and Practice, 27(2). https://doi.org/10.23055/ijietap.2020.27.2.2465

Issue

Section

Service Engineering (Healthcare, etc.)