IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v76y2024ics0969698923002904.html
   My bibliography  Save this article

The transformation mechanism of fitness clubs: Pricing of joint fitness courses by online platforms and well-known coaches

Author

Listed:
  • Zhang, Hui
  • Sun, Qi

Abstract

As a consequence of the lockdown and quarantine measures during the COVID-19 pandemic, consumers engaged in home fitness by purchasing fitness courses online. Therefore, after the pandemic, the platform model has become a trend for transformation among fitness clubs to resist risks of uncertainty and expand the market for course sales. The cooperation between well-known coaches and online fitness platforms to achieve optimal pricing has gained attention in the process of transformation of fitness clubs from offline to online platforms. The platform model of fitness clubs can help online fitness platforms expand the dissemination of well-known coaches' courses and enhance the spillover effect of course popularity. We construct pricing decision models for both clubs and coaches by characterizing the consumer utility function of well-known coaches and online fitness platforms, the demand function for fitness courses in the market, and the revenue functions for clubs and coaches. We use the Shanghai Zhongtian Fitness Club in China as a case study to analyze pricing decision solutions and perform numerical experiments and sensitivity analyses on online course sales data obtained during the lockdown periods. The study found that the optimal prices for well-known coaches' courses and online fitness platforms increase with market size, indicating their ability to increase fitness course prices among potential consumers. Further, the profit level increases with market size, indicating that market expansion brings in more potential consumers and the profits gained by well-known coaches’ courses and online fitness platforms from potential consumers exceed the profits lost due to price increases; this results in an overall increase in profit level. We further conclude that online fitness platforms can use the platform pricing model of fitness clubs to transform and upgrade.

Suggested Citation

  • Zhang, Hui & Sun, Qi, 2024. "The transformation mechanism of fitness clubs: Pricing of joint fitness courses by online platforms and well-known coaches," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:joreco:v:76:y:2024:i:c:s0969698923002904
    DOI: 10.1016/j.jretconser.2023.103539
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698923002904
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2023.103539?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. Duan, Yongrui & Liu, Tonghui & Mao, Zhixin, 2022. "How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    2. Jena, Sarat Kumar & Meena, Purushottam, 2022. "Shopping in the omnichannel supply chain under price competition and product return," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    3. Hussain, Ali & Abid, Muhammad Farrukh & Shamim, Amjad & Ting, Ding Hooi & Toha, Md Abu, 2023. "Videogames-as-a-service: How does in-game value co-creation enhance premium gaming co-creation experience for players?," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    4. Marc Lim, Weng, 2023. "Transformative marketing in the new normal: A novel practice-scholarly integrative review of business-to-business marketing mix challenges, opportunities, and solutions," Journal of Business Research, Elsevier, vol. 160(C).
    5. Zhong, Yuanguang & Yang, Tong & Cao, Bin & Cheng, T.C.E., 2022. "On-demand ride-hailing platforms in competition with the taxi industry: Pricing strategies and government supervision," International Journal of Production Economics, Elsevier, vol. 243(C).
    6. Sun, Yanhong & Sheng, Yiyun & Yan, Shuai & Zhang, Wei, 2023. "Pricing strategies in reward-based crowdfunding: Whether to introduce price guarantee?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    7. Ji-Hyoung Chin & Chanwook Do & Minjung Kim, 2022. "How to Increase Sport Facility Users’ Intention to Use AI Fitness Services: Based on the Technology Adoption Model," IJERPH, MDPI, vol. 19(21), pages 1-12, November.
    8. Ba, Luyao & Xie, Yangyang & Ma, Lijun, 2023. "Finite-horizon joint inventory-pricing optimization with non-concave demand and lost sales," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    9. Matsuoka, Kohsuke, 2022. "Effects of revenue management on perceived value, customer satisfaction, and customer loyalty," Journal of Business Research, Elsevier, vol. 148(C), pages 131-148.
    10. Zheng Liu & Hangxin Guo & Yuanjun Zhao & Bin Hu & Xiaodong Ji & Lingling Lang & Lihua Shi, 2022. "Optimal pricing decision of composite service offered by network providers in E-commerce environment," Electronic Commerce Research, Springer, vol. 22(1), pages 177-193, March.
    11. Kim, Minseong, 2022. "How can I Be as attractive as a Fitness YouTuber in the era of COVID-19? The impact of digital attributes on flow experience, satisfaction, and behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 64(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. Zhao, Ying & Guan, Zhi-min & Zhang, Jun, 2023. "Return freight strategies and selling formats in e-commerce supply chain: The perspective of consumer fairness concerns and online shopping returns," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Dey, Bikash Koli & Sarkar, Mitali & Chaudhuri, Kripasindhu & Sarkar, Biswajit, 2023. "Do you think that the home delivery is good for retailing?," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Zhang, Yue & Hu, Xiaojian & Yao, Gang & Xu, Liangcheng, 2024. "Coupon promotion and inventory strategies of a supplier considering an e-commerce platform's omnichannel coupons," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Hota, Soumya Kanti & Sarkar, Biswajit & Ghosh, Santanu Kumar & Cheikhrouhou, Naoufel & Treviño-Garza, Gerardo, 2024. "What should be the best retail strategy to deal with an unequal shipment from an unreliable manufacturer?," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    5. Liu, Chih-Hsing & Dong, Tse-Ping & Vu, Ho Tran, 2023. "Transformed virtual concepts into reality: Linkage the viewpoint of entrepreneurial passion, technology adoption propensity and advantage to usage intention," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    6. Wang, Tao & Guo, Jia & Zhang, Wei & Wang, Kai & Qu, Xiaobo, 2024. "On the planning of zone-based electric on-demand minibus," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    7. Hu, Xinru & Zhou, Shuiyin & Luo, Xiaomeng & Li, Jianbin & Zhang, Chi, 2024. "Optimal pricing strategy of an on-demand platform with cross-regional passengers," Omega, Elsevier, vol. 122(C).
    8. Rathore, Bhawana & Sengupta, Pooja & Biswas, Baidyanath & Kumar, Ajay, 2024. "Predicting the price of taxicabs using Artificial Intelligence: A hybrid approach based on clustering and ordinal regression models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    9. Bai, Jiaru & Tang, Christopher S., 2022. "Can two competing on-demand service platforms be profitable?," International Journal of Production Economics, Elsevier, vol. 250(C).
    10. Ana Carla Magalhães Nascimento & Nathália de Kassia Galdino Oliveira & Verônica de Menezes Nascimento Nagata & Reimison Moreira Fernandes & Vitor William Batista Martins, 2023. "Validation of Challenges for the Development of the Marketing Plan for Startups Considering the Post-COVID-19 Reality: An Exploratory Analysis of the Brazilian Context Using Lawshe’s Method," FinTech, MDPI, vol. 2(3), pages 1-12, August.
    11. He, Peng & He, Yong & Zhou, Li, 2023. "Channel strategies for dual-channel firms to counter strategic consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    12. Lu, Hsiao-Han & Chen, Ching-Fu & Tai, Yi-Wen, 2024. "Exploring the roles of vlogger characteristics and video attributes on followers’ value perceptions and behavioral intention," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    13. Sohani, Sahar & Barman, Tuli & Sarkar, Biswajit & Gunasekaran, Angappa & Pareek, Sarla, 2024. "Retail management policy through firefly algorithm under uncertainty using Dempster-Shafer theory for production firm," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    14. Sharma, Wamika & Lim, Weng Marc & Kumar, Satish & Verma, Aastha & Kumra, Rajeev, 2024. "Game on! A state-of-the-art overview of doing business with gamification," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    15. Davoudi, Zahra & Seifbarghy, Mehdi & Sarkar, Mitali & Sarkar, Biswajit, 2023. "Effect of bargaining on pricing and retailing under a green supply chain management," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    16. Zhao, Meng & Li, Bin & Ren, Jiali & Hao, Zhihua, 2023. "Competition equilibrium of ride-sourcing platforms and optimal government subsidies considering customers’ green preference under peak carbon dioxide emissions," International Journal of Production Economics, Elsevier, vol. 255(C).
    17. Jihye Kim & Minseong Kim, 2022. "Rise of Social Media Influencers as a New Marketing Channel: Focusing on the Roles of Psychological Well-Being and Perceived Social Responsibility among Consumers," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
    18. Zhou, Shasha & Tu, Le, 2022. "The effect of social dynamics in online review voting behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    19. Park, Jeongeun & Yang, Donguk & Kim, Ha Young, 2023. "Text mining-based four-step framework for smart speaker product improvement and sales planning," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    20. Wong, R.C.P. & Szeto, W.Y., 2022. "The effects of peak hour and congested area taxi surcharges on customers’ travel decisions: Empirical evidence and policy implications," Transport Policy, Elsevier, vol. 121(C), pages 78-89.

    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:76:y:2024:i:c:s0969698923002904. 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.