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

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

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.

Analytical models, Collaborative commerce (C-Commerce), Production economics, Supply chains
0925-5273
Xu, Xiaoyan
98b815b6-5ac4-42cf-8429-da5cb889ab8c
Choi, Tsan Ming
594d42c1-0264-4e78-afc3-aa6076284cf4
Chung, Sai Ho
70dcb405-2750-4d44-a6b8-49b4c9a6d523
Guo, Shu
fe9603df-1215-4465-853b-1a5f61adb523
Xu, Xiaoyan
98b815b6-5ac4-42cf-8429-da5cb889ab8c
Choi, Tsan Ming
594d42c1-0264-4e78-afc3-aa6076284cf4
Chung, Sai Ho
70dcb405-2750-4d44-a6b8-49b4c9a6d523
Guo, Shu
fe9603df-1215-4465-853b-1a5f61adb523

Xu, Xiaoyan, Choi, Tsan Ming, Chung, Sai Ho and Guo, Shu (2023) Collaborative-commerce in supply chains: a review and classification of analytical models. International Journal of Production Economics, 263, [108922]. (doi:10.1016/j.ijpe.2023.108922).

Record type: Review

Abstract

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.

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Accepted/In Press date: 17 May 2023
e-pub ahead of print date: 19 May 2023
Published date: 6 June 2023
Additional Information: Funding Information: This paper is a part of the first author's doctoral dissertation research, under the advice of the three co-authors. Xiaoyan Xu’s research was fully supported by The Hong Kong Polytechnic University under the account code RK38. Tsan-Ming Choi is the corresponding author.
Keywords: Analytical models, Collaborative commerce (C-Commerce), Production economics, Supply chains

Identifiers

Local EPrints ID: 487234
URI: http://eprints.soton.ac.uk/id/eprint/487234
ISSN: 0925-5273
PURE UUID: e9ecea70-a777-4d7b-9649-c5851ffe15c2
ORCID for Xiaoyan Xu: ORCID iD orcid.org/0000-0003-4565-5986

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Date deposited: 16 Feb 2024 13:37
Last modified: 12 Oct 2024 03:01

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Contributors

Author: Xiaoyan Xu ORCID iD
Author: Tsan Ming Choi
Author: Sai Ho Chung
Author: Shu Guo

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