Collaborative-commerce in supply chains: A review and classification of analytical models
Year: 2023
Type: article
Abstract: n 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 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 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.
Authors: Xiaoyan Xu, Tsan-Ming Choi, Sai-Ho Chung, Shu Guo
Institutions: Hong Kong Polytechnic University, University of Liverpool
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
Funder: Hong Kong Polytechnic University
OpenAlex ID: W4377101129
