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

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  • 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
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    References listed on IDEAS

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    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).
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    1. Zhao, Tong & Shi, Qiumei & Zhang, Xingnian & Zhang, Tianyi, 2024. "Decoding green food safety information dependency in the digital era: An intelligent validation using SEM-ANN framework," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).

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