IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0194886.html
   My bibliography  Save this article

Constructing a consumption model of fine dining from the perspective of behavioral economics

Author

Listed:
  • Sheng-Hsun Hsu
  • Cheng-Fu Hsiao
  • Sang-Bing Tsai

Abstract

Numerous factors affect how people choose a fine dining restaurant, including food quality, service quality, food safety, and hedonic value. A conceptual framework for evaluating restaurant selection behavior has not yet been developed. This study surveyed 150 individuals with fine dining experience and proposed the use of mental accounting and axiomatic design to construct a consumer economic behavior model. Linear and logistic regressions were employed to determine model correlations and the probability of each factor affecting behavior. The most crucial factor was food quality, followed by service and dining motivation, particularly regarding family dining. Safe ingredients, high cooking standards, and menu innovation all increased the likelihood of consumers choosing fine dining restaurants.

Suggested Citation

  • Sheng-Hsun Hsu & Cheng-Fu Hsiao & Sang-Bing Tsai, 2018. "Constructing a consumption model of fine dining from the perspective of behavioral economics," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-21, April.
  • Handle: RePEc:plo:pone00:0194886
    DOI: 10.1371/journal.pone.0194886
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0194886
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0194886&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0194886?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
    ---><---

    References listed on IDEAS

    as
    1. Spiggle, Susan, 1994. "Analysis and Interpretation of Qualitative Data in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(3), pages 491-503, December.
    2. Faical Akaichi & Rodolfo M. Nayga & José M. Gil, 2013. "Are Results from Non-hypothetical Choice-based Conjoint Analyses and Non-hypothetical Recoded-ranking Conjoint Analyses Similar?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(4), pages 949-963.
    3. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    4. Drazen Prelec & George Loewenstein, 1998. "The Red and the Black: Mental Accounting of Savings and Debt," Marketing Science, INFORMS, vol. 17(1), pages 4-28.
    5. Henderson, Pamela W. & Peterson, Robert A., 1992. "Mental accounting and categorization," Organizational Behavior and Human Decision Processes, Elsevier, vol. 51(1), pages 92-117, February.
    6. Gourville, John T & Soman, Dilip, 1998. "Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(2), pages 160-174, September.
    7. Oded Netzer & Olivier Toubia & Eric Bradlow & Ely Dahan & Theodoros Evgeniou & Fred Feinberg & Eleanor Feit & Sam Hui & Joseph Johnson & John Liechty & James Orlin & Vithala Rao, 2008. "Beyond conjoint analysis: Advances in preference measurement," Marketing Letters, Springer, vol. 19(3), pages 337-354, December.
    8. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    9. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    10. Carnevalli, José Antonio & Miguel, Paulo Augusto Cauchick & Calarge, Felipe Araújo, 2010. "Axiomatic design application for minimising the difficulties of QFD usage," International Journal of Production Economics, Elsevier, vol. 125(1), pages 1-12, May.
    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. Cheng, Andong & Baskin, Ernest, 2021. "Disproportionate redemption discounting: Mental accounting of discounted credit," Journal of Business Research, Elsevier, vol. 128(C), pages 156-163.
    2. Ina Garnefeld & Andreas Eggert & Markus Husemann-Kopetzky & Eva Böhm, 2019. "Exploring the link between payment schemes and customer fraud: a mental accounting perspective," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 595-616, July.
    3. Qiu, Shangzhi & Wu, Laurie & Yang, Yanjia & Zeng, Guojun, 2022. "Offering the right incentive at the right time: Leveraging customer mental accounting to promote prepaid service," Annals of Tourism Research, Elsevier, vol. 93(C).
    4. Bernadette Kamleitner, 2008. "Coupling: the implicit assumption behind sunk cost effect and related phenomena," Working Papers 22, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    5. Silva, Emmanuel Marques & Moreira, Rafael de Lacerda & Bortolon, Patricia Maria, 2023. "Mental Accounting and decision making: a systematic literature review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    6. Johannes Abeler & Felix Marklein, 2017. "Fungibility, Labels, and Consumption," Journal of the European Economic Association, European Economic Association, vol. 15(1), pages 99-127.
    7. White, Tiffany Barnett & Novak, Thomas P. & Hoffman, Donna L., 2014. "No Strings Attached: When Giving It Away Versus Making Them Pay Reduces Consumer Information Disclosure," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 184-195.
    8. Priya Jha-Dang, 2006. "A Review of Psychological Research on Consumer Promotions and a New Perspective Based on Mental Accounting," Vision, , vol. 10(3), pages 35-43, July.
    9. Haipeng (Allan) Chen & Akshay R. Rao, 2002. "Close Encounters of Two Kinds: False Alarms and Dashed Hopes," Marketing Science, INFORMS, vol. 21(2), pages 178-196, August.
    10. Shafir, Eldar & Thaler, Richard H., 2006. "Invest now, drink later, spend never: On the mental accounting of delayed consumption," Journal of Economic Psychology, Elsevier, vol. 27(5), pages 694-712, October.
    11. Scott B. Jackson & Paul A. Shoemaker & John A. Barrick & F. Greg Burton, 2005. "Taxpayers' Prepayment Positions and Tax Return Preparation Fees," Contemporary Accounting Research, John Wiley & Sons, vol. 22(2), pages 409-447, June.
    12. Antonides, Gerrit & Manon de Groot, I. & Fred van Raaij, W., 2011. "Mental budgeting and the management of household finance," Journal of Economic Psychology, Elsevier, vol. 32(4), pages 546-555, August.
    13. Koch, Alexander K. & Nafziger, Julia, 2016. "Goals and bracketing under mental accounting," Journal of Economic Theory, Elsevier, vol. 162(C), pages 305-351.
    14. Manel Baucells & Woonam Hwang, 2017. "A Model of Mental Accounting and Reference Price Adaptation," Management Science, INFORMS, vol. 63(12), pages 4201-4218, December.
    15. Liu, Hsin-Hsien, 2013. "How promotional frames affect upgrade intentions," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 237-248.
    16. Kirchler, Erich & Hoelzl, Erik & Kamleitner, Bernadette, 2008. "Spending and credit use in the private household," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(2), pages 519-532, April.
    17. Sarofim, Samer & Chatterjee, Promothesh & Rose, Randall, 2020. "When store credit cards hurt retailers: The differential effect of paying credit card dues on consumers' purchasing behavior," Journal of Business Research, Elsevier, vol. 107(C), pages 290-301.
    18. Shi, Haijiao & Chen, Rong & Xu, Xiaobing, 2021. "How reward uncertainty influences subsequent donations: The role of mental accounting," Journal of Business Research, Elsevier, vol. 132(C), pages 383-391.
    19. Khan, Jashim & Belk, Russell W. & Craig-Lees, Margaret, 2015. "Measuring consumer perceptions of payment mode," Journal of Economic Psychology, Elsevier, vol. 47(C), pages 34-49.
    20. Li Chen & A. Gürhan Kök & Jordan D. Tong, 2013. "The Effect of Payment Schemes on Inventory Decisions: The Role of Mental Accounting," Management Science, INFORMS, vol. 59(2), pages 436-451, September.

    More about this item

    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:plo:pone00:0194886. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.