Abstract

Transformation in the manufacturing industry followed by the development of globalization, requiring performance improvements along the supply chain. Supply chain management is one of competitive strategy to enhance the company’s productivity and profitability. Supply chain management maturity models is present to propose the best practices in supply chain management. A basic idea from these models is that increased maturity will improve supply chain performance. This study investigates the relationship between supply chain management maturity and supply chain performance based on the five key supply chain management maturity dimensions consisting of strategy; asset and facility; human resource; information and technology system; and process areas provided in SCOR model derived from previous literature. They were collected by web-survey from relatively manufacturing industry in various company size. The study results may be limited by the size of collected sample. The research framework and hypothesis in this study were tested using Partial Least Square approach. The results specifically highlight the contribution implementation of supply chain management maturity which can improve supply chain operational and supply chain organizational performance. This study provides useful planning information in the manufacturing industry.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages2152-2161
Number of pages10
ISBN (Print)9781792361258
Publication statusPublished - 2021
Event2nd South American Conference on Industrial Engineering and Operations Management, IEOM 2021 - Sao Paulo, Brazil
Duration: 5 Apr 20218 Apr 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference2nd South American Conference on Industrial Engineering and Operations Management, IEOM 2021
Country/TerritoryBrazil
CitySao Paulo
Period5/04/218/04/21

Keywords

  • Oil and Gas Industry
  • Safety Risk Perception
  • Structural Equation Modelling

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