IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v16y2016i4d10.1007_s40558-016-0065-0.html
   My bibliography  Save this article

Restaurant revenue management: apply reservation management?

Author

Listed:
  • Bill J. Gregorash

    (University of Leicester
    Confederation College)

Abstract

Restaurateurs obviously want to turn their tables as empty seats equates to zero revenue, so to achieve the best revenue per available seat hour (RevPASH) they can work hard by scrambling at the door trying to orchestrate people into chairs or should they work smart and let the technology sort out the crowds…or a combination. The latest fad in trendy restaurants is to not take reservations. Many restaurant operators are confident and feel that their product is so good that customer’s will walk-in and wait for a table. The wait may be at the bar, in the lobby, on the sidewalk or even at another restaurant or bar across the street, but they will wait for a table in “the place to dine”. It seems that some restaurateurs of these trendy places cannot be bothered with the services of mobile apps like Open Table who take all the work away from restaurants by allowing customers to “book a table” in three clicks. The issue with these reservation apps is the cost to the restaurateur which is around $1.25 CDN per guest plus a one-time start-up cost for hardware and access. Every reservation system relies on staff to answer telephones and emails and/or manage software to then coordinate the process to ‘reserve’ the actual physical space. Reservation systems can work effectively if the reservation staff work error-free and the customers honor the booking by showing up at the time they requested (or booked), but in reality this is never the case. Restaurant staffs make errors and customers don’t show up. Major complaints from customers arise from errors in booking (phone/email) where the table isn’t available at the time (or even booked) and restaurant management complain (lost revenue)when guests are ‘no-shows’. To curtail the ‘no-shows’, some restaurant’s demand a credit card number with a booking and threaten a cancellation fee charge to those who don’t cancel in time. With this being said a restaurant can get a bad review by customers from the way a reservation is handled before they even taste the food. So the question this research paper attempts to answer is simple; in fine dining (trendy) environments, do customers who have pre-booked reservations spend more than the customers who “walk-in”? Data was collected by observing the ‘average guest check’ spending on revenue statistics on tables of two, three and four at five fine dining restaurants over the course of a 3 week period. The findings show that the mean guest check for guests with reservations was overall higher in all five restaurants with three of the five statistically significant using an independent t test as verification. This finding perhaps demonstrates that restaurant customers who make reservations are more valuable and restaurants that don’t take reservations may need to re-think their policy as this may affect revenue. More research is needed in other major centers to verify this trend in restaurant spending along with a study of the restaurants that do not take reservations. The findings of this research will enable restaurateurs to develop a reservation system that takes advantage of their seating plan to maximize the revenue per chair based on whichever reservation policy they feel comfortable with.

Suggested Citation

  • Bill J. Gregorash, 2016. "Restaurant revenue management: apply reservation management?," Information Technology & Tourism, Springer, vol. 16(4), pages 331-346, December.
  • Handle: RePEc:spr:infott:v:16:y:2016:i:4:d:10.1007_s40558-016-0065-0
    DOI: 10.1007/s40558-016-0065-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-016-0065-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-016-0065-0?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. Alexei Alexandrov & Martin A. Lariviere, 2012. "Are Reservations Recommended?," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 218-230, 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. Mohit Tyagi & Nomesh B. Bolia, 2022. "Approaches for restaurant revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(1), pages 17-35, February.

    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. Shan Wang & Nan Liu & Guohua Wan, 2020. "Managing Appointment-Based Services in the Presence of Walk-in Customers," Management Science, INFORMS, vol. 66(2), pages 667-686, February.
    2. Cuihong Li & Fuqiang Zhang, 2013. "Advance Demand Information, Price Discrimination, and Preorder Strategies," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 57-71, September.
    3. Debjit Roy & Eirini Spiliotopoulou & Jelle de Vries, 2022. "Restaurant analytics: Emerging practice and research opportunities," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3687-3709, October.
    4. Mingzheng Wang & Mengru Ma & Xiaohang Yue & Samar Mukhopadhyay, 2016. "A capacitated firm’s pricing strategies for strategic consumers with different search costs," Annals of Operations Research, Springer, vol. 240(2), pages 731-760, May.
    5. Kuo-Pin Li* & Shieh-Liang Chen & Wen-Hong Chiu & Wen-Cheng Lu, 2019. "Strategies of Reduce Customer’s No-show Probability at Restaurants," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(1), pages 145-152, 01-2019.
    6. Feray Tunçalp & Lerzan Örmeci & Evrim D. Güneş, 2024. "Capacity allocation in a two-channel service system from a social planner’s perspective," Queueing Systems: Theory and Applications, Springer, vol. 108(1), pages 185-213, October.
    7. Tunçalp, Feray & Güneş, Evrim D. & Örmeci, E. Lerzan, 2024. "Modeling strategic walk-in patients in appointment systems: Equilibrium behavior and capacity allocation," European Journal of Operational Research, Elsevier, vol. 313(2), pages 587-601.
    8. Kuthambalayan, Thyagaraj S. & Mehta, Peeyush & Shanker, Kripa, 2015. "Managing product variety with advance selling and capacity restrictions," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 287-296.
    9. Jaelynn Oh & Xuanming Su, 2022. "Optimal Pricing and Overbooking of Reservations," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 928-940, March.
    10. Kostas Bimpikis & Wedad J. Elmaghraby & Ken Moon & Wenchang Zhang, 2020. "Managing Market Thickness in Online Business-to-Business Markets," Management Science, INFORMS, vol. 66(12), pages 5783-5822, December.
    11. Fei Gao & Xuanming Su, 2017. "Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 84-98, February.
    12. Gérard P. Cachon, 2020. "A Research Framework for Business Models: What Is Common Among Fast Fashion, E-Tailing, and Ride Sharing?," Management Science, INFORMS, vol. 66(3), pages 1172-1192, March.
    13. Yu, Yugang & Liu, Jie & Han, Xiaoya & Chen, Can, 2017. "Optimal decisions for sellers considering valuation bias and strategic consumer reactions," European Journal of Operational Research, Elsevier, vol. 259(2), pages 599-613.
    14. Fernando Bernstein & Victor Martínez-de-Albéniz, 2017. "Dynamic Product Rotation in the Presence of Strategic Customers," Management Science, INFORMS, vol. 63(7), pages 2092-2107, July.
    15. Eren B. Çil & Martin A. Lariviere, 2013. "Saving Seats for Strategic Customers," Operations Research, INFORMS, vol. 61(6), pages 1321-1332, December.
    16. Fei Gao & Xuanming Su, 2017. "Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store," Management Science, INFORMS, vol. 63(8), pages 2478-2492, August.
    17. Gérard P. Cachon & Pnina Feldman, 2015. "Price Commitments with Strategic Consumers: Why It Can Be Optimal to Discount More Frequently … Than Optimal," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 399-410, July.
    18. Chang Hwan Lee & Tsan‐Ming Choi & T. C. Edwin Cheng, 2021. "Operations strategies with snobbish and strategic consumers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 327-343, April.
    19. Georgiadis, George & Tang, Christopher S., 2014. "Optimal reservation policies and market segmentation," International Journal of Production Economics, Elsevier, vol. 154(C), pages 81-99.
    20. Mustafa O. Kabul & Ali K. Parlaktürk, 2019. "The Value of Commitments When Selling to Strategic Consumers: A Supply Chain Perspective," Management Science, INFORMS, vol. 65(10), pages 4754-4770, October.

    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:spr:infott:v:16:y:2016:i:4:d:10.1007_s40558-016-0065-0. 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.springer.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.