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Implications of on-time delivery service with compensation for an online food delivery platform and a restaurant

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  • Du, Zhong
  • Fan, Zhi-Ping
  • Chen, Zhongwei

Abstract

To reduce the negative impact of delivery delay on consumers’ willingness to pay in the online food delivery market, several online food delivery platforms have launched on-time delivery (OTD) services with compensation, in which the platforms will compensate consumers with certain fees when the delivery delay occurs. Therefore, the impact of this new practice on the profitability of platforms and restaurants needs to be understood. This study investigates the strategic decisions on whether an online food delivery platform launches the OTD service with compensation and whether a restaurant offers the service to consumers. The results show that the proportion of the service fee to the food expense (i.e., the service fee proportion), the fee that the platform compensates a consumer (i.e., the compensation fee) and the probability of delivery delay are the key factors affecting the decisions of the platform and the restaurant. Specifically, when the service fee proportion is low, it is beneficial for the platform to launch the OTD service with compensation and for the restaurant to offer the service if the compensation fee and the probability of delivery delay are not concurrently high. When the service fee proportion is high, the platform should launch the service if the compensation fee and the probability of delivery delay are moderate. When the service fee proportion is high, the restaurant does not benefit from offering the service.

Suggested Citation

  • Du, Zhong & Fan, Zhi-Ping & Chen, Zhongwei, 2023. "Implications of on-time delivery service with compensation for an online food delivery platform and a restaurant," International Journal of Production Economics, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:proeco:v:262:y:2023:i:c:s0925527323001287
    DOI: 10.1016/j.ijpe.2023.108896
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    References listed on IDEAS

    as
    1. He, Bo & Gan, Xianghua & Yuan, Kaifu, 2019. "Entry of online presale of fresh produce: A competitive analysis," European Journal of Operational Research, Elsevier, vol. 272(1), pages 339-351.
    2. (Catherine) Zhang, Jie & Savage, Scott J. & Chen, Yongmin, 2015. "Consumer uncertainty and price discrimination through online coupons: An empirical study of restaurants in Shanghai," Information Economics and Policy, Elsevier, vol. 33(C), pages 43-55.
    3. Zhang, Zhe & Song, Huaming & Gu, Xiaoyu & Shi, Victor & Zhu, Jing, 2021. "How to compete with a supply chain partner: Retailer's store brand vs. manufacturer's encroachment," Omega, Elsevier, vol. 103(C).
    4. Tiaojun Xiao & Xiangtong Qi, 2016. "A two-stage supply chain with demand sensitive to price, delivery time, and reliability of delivery," Annals of Operations Research, Springer, vol. 241(1), pages 475-496, June.
    5. Chen, Xu & Luo, Zheng & Wang, Xiaojun, 2019. "Compete or cooperate: Intensity, dynamics, and optimal strategies," Omega, Elsevier, vol. 86(C), pages 76-86.
    6. Du, Zhong & Fan, Zhi-Ping & Sun, Fenghao, 2023. "O2O dual-channel sales: Choices of pricing policy and delivery mode for a restaurant," International Journal of Production Economics, Elsevier, vol. 257(C).
    7. Ziv Carmon & J. George Shanthikumar & Tali F. Carmon, 1995. "A Psychological Perspective on Service Segmentation Models: The Significance of Accounting for Consumers' Perceptions of Waiting and Service," Management Science, INFORMS, vol. 41(11), pages 1806-1815, November.
    8. Tong, Tingting & Dai, Hongyan & Xiao, Qin & Yan, Nina, 2020. "Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market," International Journal of Production Economics, Elsevier, vol. 219(C), pages 375-385.
    9. Xiabing Zheng & Xiaolong Guo, 2016. "E-retailing of restaurant services: pricing strategies in a competing online environment," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(11), pages 1408-1418, November.
    10. Manlu Chen & Ming Hu & Jianfu Wang, 2022. "Food Delivery Service and Restaurant: Friend or Foe?," Management Science, INFORMS, vol. 68(9), pages 6539-6551, September.
    11. Ding, Yi & Gao, Xing & Huang, Chao & Shu, Jia & Yang, Donghui, 2018. "Service competition in an online duopoly market," Omega, Elsevier, vol. 77(C), pages 58-72.
    12. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    13. Zhiying Tao & Qinglong Gou & Juzhi Zhang, 2020. "A local seller's app channel strategy concerning delivery," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 220-255, January.
    14. Ray, Saibal & Jewkes, E. M., 2004. "Customer lead time management when both demand and price are lead time sensitive," European Journal of Operational Research, Elsevier, vol. 153(3), pages 769-781, March.
    15. Tamer Boyaci & Saibal Ray, 2003. "Product Differentiation and Capacity Cost Interaction in Time and Price Sensitive Markets," Manufacturing & Service Operations Management, INFORMS, vol. 5(1), pages 18-36, May.
    16. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    17. Lin, Xiaogang & Sun, Cuiying & Cao, Bin & Zhou, Yong-Wu & Chen, Chuanying, 2021. "Should ride-sharing platforms cooperate with car-rental companies? Implications for consumer surplus and driver surplus," Omega, Elsevier, vol. 102(C).
    18. Guan, Zili & Zhang, Xumei & Zhou, Maosen & Dan, Yiran, 2020. "Demand information sharing in competing supply chains with manufacturer-provided service," International Journal of Production Economics, Elsevier, vol. 220(C).
    19. Lin, Jiaxin & Zhang, Juliang & Cheng, T.C.E., 2020. "Optimal pricing and return policy and the value of freight insurance for a retailer facing heterogeneous consumers with uncertain product values," International Journal of Production Economics, Elsevier, vol. 229(C).
    20. Jingmei Xu & Li Hu & Xiaolong Guo & Xia Yan, 2020. "Online cooperation mechanism: game analysis between a restaurant and a third-party website," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 61-73, February.
    21. Marlin W. Ulmer & Barrett W. Thomas & Ann Melissa Campbell & Nicholas Woyak, 2021. "The Restaurant Meal Delivery Problem: Dynamic Pickup and Delivery with Deadlines and Random Ready Times," Transportation Science, INFORMS, vol. 55(1), pages 75-100, 1-2.
    22. Liu, Weijun & Florkowski, Wojciech J., 2018. "Online Meal delivery services: Perception of service quality and delivery speed among Chinese consumers," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266866, Southern Agricultural Economics Association.
    23. Xu, Xiaoping & Zhang, Mian & He, Ping, 2020. "Coordination of a supply chain with online platform considering delivery time decision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    24. He, Zhou & Han, Guanghua & Cheng, T.C.E. & Fan, Bo & Dong, Jichang, 2019. "Evolutionary food quality and location strategies for restaurants in competitive online-to-offline food ordering and delivery markets: An agent-based approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 61-72.
    25. Eric T. Anderson, 2002. "Sharing the Wealth: When Should Firms Treat Customers as Partners?," Management Science, INFORMS, vol. 48(8), pages 955-971, August.
    26. Zhang, Peng & He, Yong & Zhao, Xuan, 2019. "“Preorder-online, pickup-in-store” strategy for a dual-channel retailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 27-47.
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