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The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain

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Listed:
  • Liu, Weihua
  • Yan, Xiaoyu
  • Li, Xiang
  • Wei, Wanying

Abstract

This study investigates a platform’s preferences between agency selling and reselling considering the impact of data-driven marketing (DDM). Four models are built: No-DDM+agency selling, No-DDM+reselling, DDM+agency selling, DDM+reselling. Sales volumes, profits and profit growth rates in different sales modes are compared. Results show that with an increase in DDM efficiency, the platform is more willing to adopt the reselling mode. In addition, without DDM, the sales mode with higher sales volume is not more profitable within a certain market size. DDM can help avoid this phenomenon to a certain extent.

Suggested Citation

  • Liu, Weihua & Yan, Xiaoyu & Li, Xiang & Wei, Wanying, 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
  • Handle: RePEc:eee:transe:v:136:y:2020:i:c:s1366554519312992
    DOI: 10.1016/j.tre.2020.101914
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    References listed on IDEAS

    as
    1. Jiayan Xu & Vernon N. Hsu & Baozhuang Niu, 2018. "The Impacts of Markets and Tax on a Multinational Firm's Procurement Strategy in China," Production and Operations Management, Production and Operations Management Society, vol. 27(2), pages 251-264, February.
    2. Maxime C. Cohen, 2018. "Big Data and Service Operations," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1709-1723, September.
    3. Lin Tian & Asoo J. Vakharia & Yinliang (Ricky) Tan & Yifan Xu, 2018. "Marketplace, Reseller, or Hybrid: Strategic Analysis of an Emerging E‐Commerce Model," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1595-1610, August.
    4. Yuki Inoue, 2019. "Winner-Takes-All or Co-Evolution among Platform Ecosystems: A Look at the Competitive and Symbiotic Actions of Complementors," Sustainability, MDPI, vol. 11(3), pages 1-25, January.
    5. Jin, Yannan & Wang, Sujuan & Hu, Qiying, 2015. "Contract type and decision right of sales promotion in supply chain management with a capital constrained retailer," European Journal of Operational Research, Elsevier, vol. 240(2), pages 415-424.
    6. Gangshu (George) Cai & Yue Dai & Sean X. Zhou, 2012. "Exclusive Channels and Revenue Sharing in a Complementary Goods Market," Marketing Science, INFORMS, vol. 31(1), pages 172-187, January.
    7. S. Chan Choi, 1991. "Price Competition in a Channel Structure with a Common Retailer," Marketing Science, INFORMS, vol. 10(4), pages 271-296.
    8. Vibhanshu Abhishek & Kinshuk Jerath & Z. John Zhang, 2016. "Agency Selling or Reselling? Channel Structures in Electronic Retailing," Management Science, INFORMS, vol. 62(8), pages 2259-2280, August.
    9. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    10. Bin Liu & Gangshu (George) Cai & Andy A. Tsay, 2014. "Advertising in Asymmetric Competing Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 23(11), pages 1845-1858, November.
    11. Yu, Wantao & Chavez, Roberto & Jacobs, Mark A. & Feng, Mengying, 2018. "Data-driven supply chain capabilities and performance: A resource-based view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 371-385.
    12. Barenji, Ali Vatankhah & Wang, W.M. & Li, Zhi & Guerra-Zubiaga, David A., 2019. "Intelligent E-commerce logistics platform using hybrid agent based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 15-31.
    13. Zhang, Jianqiang & Cao, Qingning & He, Xiuli, 2019. "Contract and product quality in platform selling," European Journal of Operational Research, Elsevier, vol. 272(3), pages 928-944.
    14. Lu, Qihui & Shi, Victor & Huang, Jiazhou, 2018. "Who benefit from agency model: A strategic analysis of pricing models in distribution channels of physical books and e-books," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1074-1091.
    15. Choi, Tsan-Ming & He, Yanyan, 2019. "Peer-to-peer collaborative consumption for fashion products in the sharing economy: Platform operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 49-65.
    16. Baojun Jiang & Lin Tian, 2018. "Collaborative Consumption: Strategic and Economic Implications of Product Sharing," Management Science, INFORMS, vol. 64(3), pages 1171-1188, March.
    17. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
    18. Liu, Weihua & Yan, Xiaoyu & Wei, Wanying & Xie, Dong, 2019. "Pricing decisions for service platform with provider’s threshold participating quantity, value-added service and matching ability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 410-432.
    19. Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
    20. Andrei Hagiu & Julian Wright, 2015. "Marketplace or Reseller?," Management Science, INFORMS, vol. 61(1), pages 184-203, January.
    21. Baozhuang Niu & Jiawei Li & Jie Zhang & Hsing Kenneth Cheng & Yinliang (Ricky) Tan, 2019. "Strategic Analysis of Dual Sourcing and Dual Channel with an Unreliable Alternative Supplier," Production and Operations Management, Production and Operations Management Society, vol. 28(3), pages 570-587, March.
    22. Wei, Jie & Lu, Jinghui & Zhao, Jing, 2020. "Interactions of competing manufacturers’ leader-follower relationship and sales format on online platforms," European Journal of Operational Research, Elsevier, vol. 280(2), pages 508-522.
    23. Hai Jiang & Xin Qi & He Sun, 2014. "Choice-Based Recommender Systems: A Unified Approach to Achieving Relevancy and Diversity," Operations Research, INFORMS, vol. 62(5), pages 973-993, October.
    24. Shasha Lu & Li Xiao & Min Ding, 2016. "A Video-Based Automated Recommender (VAR) System for Garments," Marketing Science, INFORMS, vol. 35(3), pages 484-510, May.
    25. Baojun Jiang & Kinshuk Jerath & Kannan Srinivasan, 2011. "Firm Strategies in the "Mid Tail" of Platform-Based Retailing," Marketing Science, INFORMS, vol. 30(5), pages 757-775, September.
    26. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    27. Benny Mantin & Harish Krishnan & Tirtha Dhar, 2014. "The Strategic Role of Third-Party Marketplaces in Retailing," Production and Operations Management, Production and Operations Management Society, vol. 23(11), pages 1937-1949, November.
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