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

Adrienn Molnár, Xavier Gellynck, Robert Weaver

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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
Issue number1
StatePublished - Jan 1 2010

All Science Journal Classification (ASJC) codes

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


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