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Inclusive and Sustainable Supply Chain Strategies in Live E-Commerce: The Role of Influencer Marketing and Spillover Effects

Author

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  • Xiaodong Zhu

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Ruiting Deng

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

Live e-commerce has proliferated as a new business model in recent years. Live-streaming channel selection strategies and behavioral decisions are critical considerations for retailers to enhance business performance by increasing engagement and profitability. This study introduces the spillover effect between influencer and self-live-streaming channels, offering new theoretical insights into sustainable supply chain management from multichannel retailing, game theory, and spillover effects for channel selection and pricing, optimizing dual-channel tactics for inclusive marketing, and challenging pricing and channel effectiveness beliefs. Hence, inclusive and sustainable business practices in live e-commerce have been examined, focusing on dual-digital-channel strategies involving influencer marketing and self-live-streaming. This paper investigates three digital supply chain structures for sustainability, which are based on influencer characteristics: the single digital channel ( S ) , the dual-digital-channel structure without spillover effect ( D N ), and the dual-digital-channel structure with spillover effect ( D S ). This study employs Stackelberg game models to analyze behavioral, pricing, and channel preferences, and it also extends the model to offline channels. This study finds that (a) influencer effort affects influencer live-streaming pricing, which may not always be cheaper than self-streaming digital channels; (b) commission rates significantly impact influencer pricing strategies, leading retailers to use skimming and penetration pricing strategies when commission rates are low and high; and (c) retailers may develop influencer live-streaming channels if the cross-price coefficient is medium and low but prefer it when the coefficient and spillover impact are large. By analyzing how these digital channels contribute to societal sustainability through reduced environmental impact and enhanced social inclusion, this research highlights key marketing decisions that optimize business performance and social responsibility in the digital economy. It offers live e-commerce managers strategic channel selection, pricing, and sustainability advice and recommendations for future empirical validation to enhance practical applicability.

Suggested Citation

  • Xiaodong Zhu & Ruiting Deng, 2024. "Inclusive and Sustainable Supply Chain Strategies in Live E-Commerce: The Role of Influencer Marketing and Spillover Effects," Sustainability, MDPI, vol. 16(24), pages 1-35, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10985-:d:1543976
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    References listed on IDEAS

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    1. Lee, Michael T. & Theokary, Carol, 2021. "The superstar social media influencer: Exploiting linguistic style and emotional contagion over content?," Journal of Business Research, Elsevier, vol. 132(C), pages 860-871.
    2. Campbell, Colin & Farrell, Justine Rapp, 2020. "More than meets the eye: The functional components underlying influencer marketing," Business Horizons, Elsevier, vol. 63(4), pages 469-479.
    3. Kim, Do Yuon & Kim, Hye-Young, 2021. "Influencer advertising on social media: The multiple inference model on influencer-product congruence and sponsorship disclosure," Journal of Business Research, Elsevier, vol. 130(C), pages 405-415.
    4. Wang, Wei & Li, Gang & Cheng, T.C.E., 2016. "Channel selection in a supply chain with a multi-channel retailer: The role of channel operating costs," International Journal of Production Economics, Elsevier, vol. 173(C), pages 54-65.
    5. Sun, Libo & Jiao, Xiaoting & Guo, Xiaolong & Yu, Yugang, 2022. "Pricing policies in dual distribution channels: The reference effect of official prices," European Journal of Operational Research, Elsevier, vol. 296(1), pages 146-157.
    6. Jin Xu & Xiaohan Zhou & Jianghua Zhang & Daniel Zhuoyu Long, 2021. "The optimal channel structure with retail costs in a dual-channel supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(1), pages 47-75, January.
    7. 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.
    8. Lin, Hsin-Chen & Bruning, Patrick F. & Swarna, Hepsi, 2018. "Using online opinion leaders to promote the hedonic and utilitarian value of products and services," Business Horizons, Elsevier, vol. 61(3), pages 431-442.
    9. Matsui, Kenji, 2017. "When should a manufacturer set its direct price and wholesale price in dual-channel supply chains?," European Journal of Operational Research, Elsevier, vol. 258(2), pages 501-511.
    10. Ran Pan & Juan Feng & Zhenling Zhao, 2022. "Fly with the wings of live‐stream selling—Channel strategies with/without switching demand," Production and Operations Management, Production and Operations Management Society, vol. 31(9), pages 3387-3399, September.
    11. Pun, Hubert & Chen, Jing & Li, Wei, 2020. "Channel strategy for manufacturers in the presence of service freeriders," European Journal of Operational Research, Elsevier, vol. 287(2), pages 460-479.
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