Addressing the consensus on information sharing in CPFR information systems: Insights from manufacturer–retailer dyads

Liangqing Zhang, Hefu Liu, Zhao Cai

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

Abstract

This study investigated the mechanism of improving consensus between one dominant manufacturer and retailers in evaluating retailers’ information sharing in a Collaborative Planning, Forecasting, and Replenishment (CPFR) system. IT capability, goodwill trust, and competence trust were proposed as antecedents of this consensus based on organizational information processing theory (OIPT). A matched questionnaire survey was conducted, generating 253 manufacturer-retailer dyads for analysis. Consensus on information sharing was operationalized by the degree-symmetric model (DSM). The empirical results showed that retailers’ IT capability, goodwill trust, and competence trust in the dominant manufacturer were positively related to the consensus on information sharing. Furthermore, the interaction between retailers’ IT capability and goodwill trust was negatively related to this consensus, whereas the interaction effect of retailers’ IT capability and competence trust was positive.

Original languageEnglish
Pages (from-to)3569-3588
Number of pages20
JournalInternational Journal of Production Research
Volume60
Issue number11
Early online date19 May 2021
DOIs
Publication statusPublished Online - 19 May 2021

Keywords

  • Collaborative Planning, Forecasting, and Replenishment
  • IT capability
  • competence trust
  • consensus on information sharing
  • goodwill trust

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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