Do arcs of integration differ across industries? Methodology extension and empirical evidence from Thailand

Chee Yew Wong, Wing Yan Wong, Sakun Boon-itt

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper verifies the argument that arcs of integration or supply chain integration (SCI) configurations differ across different industries. It further develops statistical methods to compare ‘balanced’ and ‘unbalanced’ arcs of integrations and determines performance outcomes of different arcs of integration in three Thai industries. Survey data collected from 151 automotive, 82 electronics and 115 food manufacturers in Thailand are examined using cluster analysis, analysis of variance (ANOVA) and novel approaches to statistically differentiate balanced and unbalanced SCI configurations and their performance implications. The analyses conclude the existence of balanced arcs of integration with uniform levels of supplier integration (SI), internal integration (II), and customer integration (CI), as well as unbalanced arcs of integration with an emphasis on CI in the automotive and electronics industries. The food industry has no balanced arc of integration; some food manufacturers emphasize SI and II. These findings confirm differences across industries and add further insights in terms of how arcs of integration with different SCI strengths and emphases could lead to differences in delivery, quality, cost, flexibility, and innovation performance. Based on the data from these Thai industries, the findings from the different industries allow practitioners to benchmark SCI implementation and identify suitable arcs of integration for achieving desirable performance outcomes. In addition to statistically validating the differences amongst the SCI configurations and providing crucial empirical evidence to verify industrial differences, the paper demonstrates the benefit of analysing SCI configurations based on separate industrial samples and provides empirical evidence to drive new theoretical development.
Original languageEnglish
Pages (from-to)223-234
Number of pages12
JournalInternational Journal of Production Economics
Volume183
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Cluster analysis
  • Configuration
  • Supply chain integration
  • Survey research

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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