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.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Funding
Notes on contributors
![](/cms/asset/b65d50a5-ca70-48d8-a2ca-3d8375d5bf12/tprs_a_1926569_ilg0001.gif)
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.
![](/cms/asset/9f1d3751-a6c6-4a8b-be53-68be998359f6/tprs_a_1926569_ilg0002.gif)
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.
![](/cms/asset/055ce554-bafa-4f7f-b804-68a43584ba9f/tprs_a_1926569_ilg0003.gif)
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.