IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v77y2024ics0969698923003971.html
   My bibliography  Save this article

Evidence-based equilibrium analysis of two-sided market in food delivery industry

Author

Listed:
  • Jo, Hanseul
  • Shin, Jungwoo

Abstract

The food delivery service market is growing rapidly, driven by the increasing demand for online platforms. This study focuses on the crucial issue of determining appropriate delivery fees to ensure sustainable development of the delivery service industry. The choice experiment analysis is used to examine the platform-based market structure and determine the pricing principles from the perspectives of individual customers and restaurant owners. The results define appropriate utility-based equilibrium service prices, estimated to be less than 10% of the total expenses, even to be less than 7% for multipoint services. This data-driven analysis provides meaningful implications for both service users and platform companies for comprehensive understanding of the market structure.

Suggested Citation

  • Jo, Hanseul & Shin, Jungwoo, 2024. "Evidence-based equilibrium analysis of two-sided market in food delivery industry," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  • Handle: RePEc:eee:joreco:v:77:y:2024:i:c:s0969698923003971
    DOI: 10.1016/j.jretconser.2023.103646
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698923003971
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2023.103646?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Tsai, Pei-Hsuan & Chen, Chih-Jou & Hsiao, Wei-Hung & Lin, Chin-Tsai, 2023. "Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    4. Pnina Feldman & Andrew E. Frazelle & Robert Swinney, 2023. "Managing Relationships Between Restaurants and Food Delivery Platforms: Conflict, Contracts, and Coordination," Management Science, INFORMS, vol. 69(2), pages 812-823, February.
    5. Yongzhong Wu & Yikuan Lu & Simin Huang, 2022. "Impacts of Delivery Charge on the Possibility of Consumers Using Online Food Delivery," Sustainability, MDPI, vol. 14(3), pages 1-21, February.
    6. Roh, Minjung & Park, Kiwan, 2019. "Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation," International Journal of Information Management, Elsevier, vol. 47(C), pages 262-273.
    7. Liu, Yang & Li, Sen, 2023. "An economic analysis of on-demand food delivery platforms: Impacts of regulations and integration with ride-sourcing platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Bruno Jullien & Alessandro Pavan & Marc Rysman, 2021. "Two-sided markets, pricing, and network effects," Post-Print hal-03828345, HAL.
    10. Byoungsoo Kim, 2019. "Understanding Key Antecedents of Consumer Loyalty toward Sharing-Economy Platforms: The Case of Airbnb," Sustainability, MDPI, vol. 11(19), pages 1-15, September.
    11. Hagiu, Andrei & Hałaburda, Hanna, 2014. "Information and two-sided platform profits," International Journal of Industrial Organization, Elsevier, vol. 34(C), pages 25-35.
    12. Jean‐Charles Rochet & Jean Tirole, 2006. "Two‐sided markets: a progress report," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 645-667, September.
    13. Que, Sisi & Awuah-Offei, Kwame & Weidner, Nathan & Wang, Yumin, 2017. "Discrete choice experiment validation: A resource project case study," Journal of choice modelling, Elsevier, vol. 22(C), pages 39-50.
    14. Qian Chen & Yumeng Wang & Yeming Gong & Shan Liu, 2023. "Ripping off regular consumers? : The antecedents and consequences of consumers’ perceptions of e-commerce platforms’ digital power abuse," Post-Print hal-04339460, HAL.
    15. Choi, Hyunhong & Koo, Yoonmo, 2023. "New technology product introduction strategy with considerations for consumer-targeted policy intervention and new market entrant," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    16. Yifan Dou & D. J. Wu, 2021. "Platform Competition Under Network Effects: Piggybacking and Optimal Subsidization," Information Systems Research, INFORMS, vol. 32(3), pages 820-835, September.
    17. 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).
    18. Verma, Anuj & Chakraborty, Debarun & Verma, Meenakshi, 2023. "Barriers of food delivery applications: A perspective from innovation resistance theory using mixed method," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bruno Jullien & Alessandro Pavan & Marc Rysman, 2021. "Two-sided markets, pricing, and network effects," Post-Print hal-03828345, HAL.
    2. Ortega, David L. & Wang, H. Holly & Wu, Laping & Hong, Soo Jeong, 2015. "Retail channel and consumer demand for food quality in China," China Economic Review, Elsevier, vol. 36(C), pages 359-366.
    3. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    4. Doherty, Edel & Campbell, Danny, 2011. "Demand for improved food safety and quality: a cross-regional comparison," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108791, Agricultural Economics Society.
    5. Abdurrahman B. Aydemir & Erkan Duman, 2021. "Migrant Networks and Destination Choice: Evidence from Moves across Turkish Provinces," Koç University-TUSIAD Economic Research Forum Working Papers 2109, Koc University-TUSIAD Economic Research Forum.
    6. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    7. Kesternich, Iris & Heiss, Florian & McFadden, Daniel & Winter, Joachim, 2013. "Suit the action to the word, the word to the action: Hypothetical choices and real decisions in Medicare Part D," Journal of Health Economics, Elsevier, vol. 32(6), pages 1313-1324.
    8. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    9. Frick, Bernd & Barros, Carlos Pestana & Prinz, Joachim, 2010. "Analysing head coach dismissals in the German "Bundesliga" with a mixed logit approach," European Journal of Operational Research, Elsevier, vol. 200(1), pages 151-159, January.
    10. Meredith Fowlie, 2010. "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement," American Economic Review, American Economic Association, vol. 100(3), pages 837-869, June.
    11. Cho, Woohyun & Windle, Robert J. & Dresner, Martin E., 2017. "The impact of operational exposure and value-of-time on customer choice: Evidence from the airline industry," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 455-471.
    12. Carlos Madeira, 2019. "Adverse selection, loan access and default in the Chilean consumer debt market," Working Papers Central Bank of Chile 838, Central Bank of Chile.
    13. Haoge Chang & Yusuke Narita & Kota Saito, 2022. "Approximating Choice Data by Discrete Choice Models," Papers 2205.01882, arXiv.org, revised Dec 2023.
    14. Dam, Tien Thanh & Ta, Thuy Anh & Mai, Tien, 2022. "Submodularity and local search approaches for maximum capture problems under generalized extreme value models," European Journal of Operational Research, Elsevier, vol. 300(3), pages 953-965.
    15. Bernard Fortin & Nicolas Jacquemet & Bruce Shearer, 2008. "Policy Analysis in Health-Services Market: Accounting for Quality and Quantity," Annals of Economics and Statistics, GENES, issue 91-92, pages 293-319.
    16. Buchmueller, Thomas, 2006. "Price and the health plan choices of retirees," Journal of Health Economics, Elsevier, vol. 25(1), pages 81-101, January.
    17. Villas-Boas, Sofia B & Taylor, Rebecca & Krovetz, Hannah, 2016. "Willingness to Pay for Low Water Footprint Food Choices During Drought," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9vh3x180, Department of Agricultural & Resource Economics, UC Berkeley.
    18. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    19. Partha Deb & Chenghui Li & Pravin K. Trivedi & David M. Zimmer, 2006. "The effect of managed care on use of health care services: results from two contemporaneous household surveys," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 743-760, July.
    20. Yan, Zhen & Zhou, Jie-hong, 2015. "Measuring consumer heterogeneous preferences for pork traits under media reports: choice experiment in sixteen traceability pilot cities, China," 2015 Conference, August 9-14, 2015, Milan, Italy 212609, International Association of Agricultural Economists.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:77:y:2024:i:c:s0969698923003971. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.