Collaborative decision-making in supply chain management: A review and bibliometric analysis. Issue 1 (31st December 2023)

• Record Type: Journal Article
• Authors: Wang, Hao; Long, Ziyang; Chen, Junlin; Guo, Yufan; Wang, Ailan
• Is Part Of: Cogent engineering. Volume 10:Issue 1(2023)
• Publication Date: 2023-12-31
• Subjects: bibliometric analysis -- collaborative decision-making -- review -- supply chain collaboration -- supply chain performance; Engineering -- Periodicals; Technology -- Periodicals; Engineering; Technology; Periodicals; 620
• DOI: 10.1080/23311916.2023.2196823
• Languages: English
• ISSNs: 2331-1916

Abstract

Abstract: Although collaborative decision-making with multiple stakeholders in supply chain has become an important research issue in recent years, current research on the mechanism/process, methods, and performance assessment of collaborative decision-making still lags behind the practical needs in supply chain management. This paper reviews the existing literature in the past decade on collaborative supply chain from the perspective of decision-making in four stages with a causal framework. This paper reveals a general retrospect of the main subjects developed and investigated with related applications of cases, which includes both theoretical assumptions and practical data. The findings indicate that most articles in this field are based on a direct relationship between collaboration and performance improvement but lack of a mechanism between them. Additionally, dynamic collaboration with members in the whole supply chain both horizontally and vertically has not been conducted by previous studies. This paper provides a new conceptual framework and future research directions for further study in supply chain collaboration.