Collaborative-commerce in supply chains: A review and classification of analytical models

Xu, Xiaoyan, Choi, Tsan-Ming ORCID: 0000-0003-3865-7043, Chung, Sai-Ho and Guo, Shu ORCID: 0000-0002-7513-9184
(2023) Collaborative-commerce in supply chains: A review and classification of analytical models. International Journal of Production Economics, 263. p. 108922.

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In the sharing economy era with the development of Industry 4.0, collaborative-commerce (C-Commerce) is getting increasingly important in supply chain management (SCM). However, there is currently a lack of consolidated view on the topic. This paper aspires to fill this gap by conducting a comprehensive review of analytical modeling SCM studies in C-Commerce, aiming at providing guidance on “what it is”, “what to do”, and “how to do”, collectively called the 2W1H framework, for this topic. Based on a deep systematic survey of the literature, we establish a novel classification framework for SCM C-Commerce in two dimensions, i.e., research domains and supply chain (SC) structure. We examine the critical research issues and analytical models following this classification framework. We specifically include the relevant works which highlight (i) collaborative innovation in product development, (ii) collaborative branding and promotion, and (iii) collaborative planning, forecasting and replenishment (CPFR). Based on our review findings, we uncover the important supply chain operational issues in C-Commerce and highlight key modeling elements. We further present the evolution of the C-Commerce related studies in the SCM literature and propose a future research agenda that can fill the gaps between the current state of research and real-world needs in business operations.

Item Type: Article
Uncontrolled Keywords: Collaborative commerce (C-Commerce), Production economics, Supply chains, Analytical models
Divisions: Faculty of Humanities and Social Sciences > School of Management
Depositing User: Symplectic Admin
Date Deposited: 25 May 2023 10:27
Last Modified: 21 Sep 2023 01:21
DOI: 10.1016/j.ijpe.2023.108922
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