IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v24y2025i4d10.1057_s41272-025-00528-7.html
   My bibliography  Save this article

Indoor vs. outdoor hospitality: enhancing campsite revenue management implementation with MERMCAMP

Author

Listed:
  • Sandra Janković

    (University of Rijeka)

  • Kevin Grande

    (France Research Center in Managerial Intelligence and Innovation (CERIIM))

  • Vedran Zubović

    (University of Rijeka)

Abstract

Revenue Management (RM) maximizes revenue and profitability in industries with perishable goods. This study proposes the MERMCAMP model (Model for Evaluation of Revenue Management in Camping Industry), a framework developed to evaluate RM implementation in outdoor hospitality. The model is based on previous research and was further refined through an expert consensus in a qualitative Delphi survey. A panel of 10 experts participated in several rounds of interviews to identify and evaluate key RM practises for the camping sector. MERMCAMP comprises 119 items categorized under eight key elements: culture, forecasting, segmentation, pricing, distribution channels, competitors, evaluation and digitalization. The model provides a practical and scalable approach for campsite operators to improve pricing, inventory management and business performance.

Suggested Citation

  • Sandra Janković & Kevin Grande & Vedran Zubović, 2025. "Indoor vs. outdoor hospitality: enhancing campsite revenue management implementation with MERMCAMP," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(4), pages 401-415, August.
    • Handle: RePEc:pal:jorapm:v:24:y:2025:i:4:d:10.1057_s41272-025-00528-7
    DOI: 10.1057/s41272-025-00528-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-025-00528-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-025-00528-7?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Michael Murimi & Billy Wadongo & Tom Olielo, 2021. "Determinants of revenue management practices and their impacts on the financial performance of hotels in Kenya: a proposed theoretical framework," Future Business Journal, Springer, vol. 7(1), pages 1-7, December.
    2. P Jones, 1999. "Yield management in UK hotels: a systems analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(11), pages 1111-1119, November.
    3. Ziad Alrawadieh & Zaid Alrawadieh & Gurel Cetin, 2021. "Digital transformation and revenue management: Evidence from the hotel industry," Tourism Economics, , vol. 27(2), pages 328-345, March.
    4. Schwartz, Zvi & Stewart, William & Backlund, Erik A., 2012. "Visitation at capacity-constrained tourism destinations: Exploring revenue management at a national park," Tourism Management, Elsevier, vol. 33(3), pages 500-508.
    5. Aldric Vives & Liudmila Ostrovskaya, 2024. "Exploring the impact of hotel attributes and services on price and revenue: A hedonic pricing model approach with a focus on internal and external segmentation and repeat customers," Tourism Economics, , vol. 30(4), pages 813-843, June.
    6. Weatherford, Larry R. & Kimes, Sheryl E., 2003. "A comparison of forecasting methods for hotel revenue management," International Journal of Forecasting, Elsevier, vol. 19(3), pages 401-415.
    7. Aldric Vives & Marta Jacob & Eugeni Aguiló, 2019. "Online hotel demand model and own-price elasticities: An empirical application in a mature resort destination," Tourism Economics, , vol. 25(5), pages 670-694, August.
    8. Carla Bento & Paulo Almeida & José Luis Jiménez-Caballero, 2022. "The impact of the Web Summit on hotel performance, the case of Lisbon," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(5), pages 564-577, October.
    9. Chen, Ming & Chen, Zhi-Long, 2024. "Stop clicking around and book direct: Impact of best rate guarantee on hotel pricing," European Journal of Operational Research, Elsevier, vol. 313(3), pages 1088-1104.
    10. Naragain Phumchusri & Phoom Ungtrakul, 2020. "Hotel daily demand forecasting for high-frequency and complex seasonality data: a case study in Thailand," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 8-25, February.
    11. Mikulić, Josip & Prebežac, Darko & Šerić, Maja & Krešić, Damir, 2017. "Campsite choice and the camping tourism experience: Investigating decisive campsite attributes using relevance-determinance analysis," Tourism Management, Elsevier, vol. 59(C), pages 226-233.
    12. Bernardo Pereira Bastos, 2023. "Contribution of hotels’ revenue management for supply chain sustainability," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(4), pages 294-305, August.
    13. Katarina Poldrugovac & Sandra Janković & Milena Peršić, 2019. "The significance of competitive pricing and revenue management in the camping industry," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 11(1/2), pages 76-88.
    14. Hugues Seraphin & Stanislav Ivanov, 2020. "Overtourism: a revenue management perspective," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(3), pages 146-150, June.
    15. Park, Joungkoo & Ellis, Gary D. & Kim, Samuel Seongseop & Prideaux, Bruce, 2010. "An investigation of perceptions of social equity and price acceptability judgments for campers in the U.S. national forest," Tourism Management, Elsevier, vol. 31(2), pages 202-212.
    16. Benoît Rottembourg & Jacques Masson, 2017. "When bid price is not enough: Taking better allotment decisions for Camping Revenue Management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(2), pages 115-124, April.
    17. Detlev Remy & Huey Chern Boo & Shirley Tee, 2023. "From traditional to new hotel revenue management metrics: An exploratory study on the potential of NRevPAR and RevPAC," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 29(2), pages 221-233, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ian Yeoman, 2025. "Expanding horizons: revenue management across industries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(4), pages 323-325, August.

    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. Naragain Phumchusri & Poonnawit Suwatanapongched, 2023. "Forecasting hotel daily room demand with transformed data using time series methods," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(1), pages 44-56, February.
    2. Apostolos Ampountolas, 2025. "Addressing complex seasonal patterns in hotel forecasting: a comparative study," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(2), pages 143-152, April.
    3. Meng-Ying Wang & Li-Chen Chou, 2024. "Evaluating information asymmetry effects on hotel pricing: a comparative analysis before and during the COVID-19 pandemic in the Taiwan’s market," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. Rice, William L. & Park, So Young & Pan, Bing & Newman, Peter, 2019. "Forecasting campground demand in US national parks," Annals of Tourism Research, Elsevier, vol. 75(C), pages 424-438.
    5. Natalie Haynes & David Egan, 2024. "Transient price setting in the era of automated systems: the ‘hands-on’ hotel general manager lives on!," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(1), pages 28-38, February.
    6. Leask, Anna, 2016. "Visitor attraction management: A critical review of research 2009–2014," Tourism Management, Elsevier, vol. 57(C), pages 334-361.
    7. Ruiyi Zhao & Ling Li, 2024. "Does digitalization always benefit cultural, sports, and tourism enterprises quality? Unveiling the inverted U-shaped relationship from a resource and capability perspective," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    8. Antonio Farías & Christian A. Cancino, 2021. "Digital Transformation in the Chilean Lodging Sector: Opportunities for Sustainable Businesses," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    9. Doris Chenguang Wu & Shiteng Zhong & Richard T R Qiu & Ji Wu, 2022. "Are customer reviews just reviews? Hotel forecasting using sentiment analysis," Tourism Economics, , vol. 28(3), pages 795-816, May.
    10. Hanyuan Zhang & Jiangping Lu, 2022. "Forecasting hotel room demand amid COVID-19," Tourism Economics, , vol. 28(1), pages 200-221, February.
    11. Binru Zhang & Yulian Pu & Yuanyuan Wang & Jueyou Li, 2019. "Forecasting Hotel Accommodation Demand Based on LSTM Model Incorporating Internet Search Index," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    12. Guizzardi, Andrea & Pons, Flavio Maria Emanuele & Angelini, Giovanni & Ranieri, Ercolino, 2021. "Big data from dynamic pricing: A smart approach to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1049-1060.
    13. Du, Siyuan & Guo, Chunxiang & Jin, Maozhu, 2016. "Agent-based simulation on tourists’ congestion control during peak travel period using Logit model," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 187-194.
    14. Zvi Schwartz & Mehmet Altin & Manisha Singal, 2017. "Performance measures for strategic revenue management: RevPAR versus GOPPAR," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(4), pages 357-375, August.
    15. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    16. Viteri Mejía, César & Brandt, Sylvia, 2015. "Managing tourism in the Galapagos Islands through price incentives: A choice experiment approach," Ecological Economics, Elsevier, vol. 117(C), pages 1-11.
    17. Dong Zhang & Chong Wu, 2023. "What online review features really matter? An explainable deep learning approach for hotel demand forecasting," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(9), pages 1100-1117, September.
    18. Monteiro, Albertina Paula & Vale, Joana & Leite, Eduardo & Lis, Marcin, 2024. "Linking quality of accounting information system and financial reporting to non-financial performance: The role women managers," International Journal of Accounting Information Systems, Elsevier, vol. 54(C).
    19. Nantachai Kantanantha & Jiaranai Awichanirost, 2022. "Analyzing and forecasting online tour bookings using Google Analytics metrics," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 354-365, June.
    20. Miguel Angel Ropero, 2019. "Pricing Policies in a Market With Asymmetric Information and Non-Bayesian Firms," Annals of Economics and Finance, Society for AEF, vol. 20(2), pages 541-563, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:pal:jorapm:v:24:y:2025:i:4:d:10.1057_s41272-025-00528-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.