Addressing the consensus on information sharing in CPFR information systems: Insights from manufacturer – retailer dyads
Liangqing Zhang,
Hefu Liu and
Zhao Cai
International Journal of Production Research, 2022, vol. 60, issue 11, 3569-3588
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.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2021.1926569 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:60:y:2022:i:11:p:3569-3588
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20
DOI: 10.1080/00207543.2021.1926569
Access Statistics for this article
International Journal of Production Research is currently edited by Professor A. Dolgui
More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().