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

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.

KEYWORDS:

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

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work described in this paper was supported by the National Natural Science Foundation of China (NSFC: 71801204, 71971202, and 71921001), the National Key R&D Program of China (2018YFB1601401), the Zhejiang Soft Science Programme (2021C35017), and the Ningbo Commonweal Science and Technology Fund (202002N3138).

Notes on contributors

Liangqing Zhang

Liangqing Zhang is a PhD student in Management Science and Engineering at the School of Management, University of Science and Technology of China. His research focuses on supply chain management, information sharing and information system management.

Hefu Liu

Hefu Liu is a Professor at the School of Management, University of Science and Technology of China. He obtained his PhD from the University of Science and Technology of China and City University of Hong Kong. His research interests include information system management, IT value creation, operation management, business model innovation, and omni-channel management. He has published in leading journals such as Journal of Operations Management, Production and Operations Management, and MIS Quarterly.

Zhao Cai

Zhao Cai is an Assistant Professor in Information Systems at Nottingham University Business School China, University of Nottingham Ningbo China. His research interests focus on the intersection among digital supply chain management, platform competition, and sharing economy. Findings from his research have appeared in journals such as MIS Quarterly, International Journal of Operations and Production Management, and Information & Management, among others.