Chain member perception of chain performance: The role of relationship quality

Adrienn Molnár, Xavier Gellynck, Robert Weaver

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The purpose of the paper is to measure perceived performance of bilateral relationships in the chain. Therefore, quantitative data were collected from 270 chain members from 3 EU countries in 6 traditional food product categories. First, perceived performance of bilateral relationships was analysed which revealed a generally high perceived contribution of each chain member to its partners' performance. Second, cluster analysis was conducted resulting in 4 clusters: 1) Low performing chains; 2) Low perceived food manufacturer's (FM) performance by supplier (S) and customer (C); 3) High perceived FM performance by S and C; 4) High performing chains. Third, binary logistic regression was used to identify 7 relationship constructs that significantly predict cluster membership: trust, economic satisfaction, social satisfaction, dependency, coercive power, reputation, conflict and integration.

Original languageEnglish (US)
Pages (from-to)27-49
Number of pages23
JournalJournal on Chain and Network Science
Volume10
Issue number1
DOIs
StatePublished - Jan 1 2010

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Computer Science Applications
  • Computer Networks and Communications

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