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Author:

Yang, Zaoli (Yang, Zaoli.) | Shang, Wen-Long (Shang, Wen-Long.) | Miao, Lin (Miao, Lin.) | Gupta, Shivam (Gupta, Shivam.) | Wang, Zhengli (Wang, Zhengli.)

Indexed by:

SSCI EI Scopus SCIE

Abstract:

Data resources, a fundamental component in the digital economy, play a vital role for businesses aiming to establish a lasting competitive edge. A company's data resources can uniquely influence the decisions surrounding products and services within the supply chain. The integrated dual -channel supply chain (DCSC) involves direct online channels utilized by manufacturing service providers alongside offline channels, such as physical retail stores, managed by sales service integrators. The DCSC is capable of performing second -stage data mining services in accordance with the sold products and customer services after the product sales are completed. Subsequently, data resource mining can be achieved through a cross -channel approach. As such, considering the exploration of cross -channel data resources, this study strives to formulate a structure for a dualchannel closed -loop supply chain. Furthermore, utilizing concepts from the Stackelberg and Nash equilibrium game theories, it delves into the analysis of pricing decisions and profit allocation. This examination encompasses distinct closed -loop supply chain configurations, viewed through the lenses of both centralized and decentralized decision -making approaches. In addition, the effects of cross -channel data mining and channel consumption preferences on supply chain decisions are analyzed, and the analysis is conducted in combination with numerical examples. As evidenced by the findings in this investigation, cross -channel data resource mining, consumer channel preference, and the data mining value conversion rate can prominently affect the formulation of pricing strategies and the distribution of profits in closed -loop supply chains. The potential value of data resources can lead to the generation of "external incentives" following the strategy of data resource mining. Furthermore, the data resource mining strategy is promising in stimulating the growth of the product and service markets. Finally, the overall profit of the supply chain is increased with the increase in the efficiency of data resource conversion. Enhancements in the efficacy of data resource conversion correspondingly lead to heightened overall profits within the supply chain.

Keyword:

Dual-channel supply chain Data resource mining Pricing decisions Centralized and decentralized decision-making

Author Community:

  • [ 1 ] [Yang, Zaoli]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Shang, Wen-Long]Beijing Univ Technol, Fac Urban Studies, Sch Urban Transport, Beijing 100124, Peoples R China
  • [ 3 ] [Shang, Wen-Long]Imperial Coll London, Ctr Transport Studies, London SW7 2AZ, England
  • [ 4 ] [Miao, Lin]Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China
  • [ 5 ] [Gupta, Shivam]NEOMA Business Sch, Dept Informat Syst Supply Chain Management & Decis, F-51100 Reims, France
  • [ 6 ] [Wang, Zhengli]Nanjing Univ, Sch Management & Engn, Nanjing 210093, Peoples R China

Reprint Author's Address:

  • [Shang, Wen-Long]Beijing Univ Technol, Fac Urban Studies, Sch Urban Transport, Beijing 100124, Peoples R China;;[Shang, Wen-Long]Imperial Coll London, Ctr Transport Studies, London SW7 2AZ, England;;

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Source :

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

ISSN: 0305-0483

Year: 2024

Volume: 126

6 . 9 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 14

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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