IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i11p3038-d235287.html
   My bibliography  Save this article

In-Flight Casinos, Is It Really a Nonsensical Idea? An Exploratory Approach Using Different Choice Experiments

Author

Listed:
  • Jinsoo Hwang

    (The College of Hospitality and Tourism Management, Sejong University, 98 Gunja-dong, Gwanjin-gu, Seoul 143-747, Korea)

  • Seong Ok Lyu

    (School of Global Sport Studies, Korea University, 2511 Sejong-ro, Sejong 30019, Korea)

  • Sun-Bai Cho

    (The Department of Hotel Management, Cheongju University, Cheongju, Chungcheongbuk-do 28503, Korea)

Abstract

Most airlines make various efforts to enhance their customers’ levels of in-flight satisfaction while offering alternative services and entertainment. As an innovative service item, some international airlines plan in-flight casino facilities to relieve their customers’ boredom and fatigue emanating from tedious long flights. Using a study sample of casino visitors in Korea, we intend to better understand how potential airline passengers show their willingness to pay for the hypothetical in-flight casino services. We also employ multiple choice experimental techniques to examine preference heterogeneity embedded in the sampled population. Based on study results, several management strategies are discussed for offering tailored in-flight entertainment services to targeted market segments.

Suggested Citation

  • Jinsoo Hwang & Seong Ok Lyu & Sun-Bai Cho, 2019. "In-Flight Casinos, Is It Really a Nonsensical Idea? An Exploratory Approach Using Different Choice Experiments," Sustainability, MDPI, vol. 11(11), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3038-:d:235287
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/11/3038/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/11/3038/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Seungjin Shin & Hong-Seung Roh & Sung Ho Hur, 2019. "Characteristics Analysis of Freight Mode Choice Model According to the Introduction of a New Freight Transport System," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    2. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    3. Heesup Han & Taeyeon Eom & Hyunah Chung & Soyeun Lee & Hyungseo Bobby Ryu & Wansoo Kim, 2019. "Passenger Repurchase Behaviours in the Green Cruise Line Context: Exploring the Role of Quality, Image, and Physical Environment," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    4. Thi Yen Pham & Gi-Tae Yeo, 2019. "Evaluation of Transshipment Container Terminals’ Service Quality in Vietnam: From the Shipping Companies’ Perspective," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    5. Miklós Pakurár & Hossam Haddad & János Nagy & József Popp & Judit Oláh, 2019. "The Service Quality Dimensions that Affect Customer Satisfaction in the Jordanian Banking Sector," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    6. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    7. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    9. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    10. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    11. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    12. A. Colin Cameron & Pravin K. Trivedi, 2010. "Microeconometrics Using Stata, Revised Edition," Stata Press books, StataCorp LP, number musr, March.
    13. Lee, Kuen-Chang & Tsai, Wen-Hsien & Yang, Chih-Hao & Lin, Ya-Zhi, 2018. "An MCDM approach for selecting green aviation fleet program management strategies under multi-resource limitations," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 76-85.
    14. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    15. Birol, Ekin & Karousakis, Katia & Koundouri, Phoebe, 2006. "Using a choice experiment to account for preference heterogeneity in wetland attributes: The case of Cheimaditida wetland in Greece," Ecological Economics, Elsevier, vol. 60(1), pages 145-156, November.
    16. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    17. Jeff Bennett & Russell Blamey (ed.), 2001. "The Choice Modelling Approach to Environmental Valuation," Books, Edward Elgar Publishing, number 2028.
    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. Beenish Tariq & Sadaf Taimoor & Hammad Najam & Rob Law & Waseem Hassan & Heesup Han, 2020. "Generating Marketing Outcomes through Internet of Things (IoT) Technologies," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    2. Heesup Han & Amr Al-Ansi & Hyeon-Cheol Kim, 2019. "Perceived Inconveniences and Muslim Travelers’ Loyalty to Non-Muslim Destinations," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    3. Heesup Han & Soyeun Lee & Amr Al-Ansi & Hyeon-Cheol Kim & Hyungseo Bobby Ryu & Jinkyung Jenny Kim & Wansoo Kim, 2019. "Convention Tourism and Sustainability: Exploring Influencing Factors on Delegate Green Behavior That Reduce Environmental Impacts," Sustainability, MDPI, vol. 11(14), pages 1-14, July.
    4. Carroll, James & Brazil, William & Howard, Michael & Denny, Eleanor, 2022. "Imperfect emissions information during flight choices and the role of CO2 labelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

    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. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    2. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    3. Junyi Shen & Tatsuyoshi Saijo, 2007. "Does energy efficiency label alter consumers f purchase decision? A latent class approach on Shanghai data," OSIPP Discussion Paper 07E005, Osaka School of International Public Policy, Osaka University.
    4. Eric Ruto & Guy Garrod & Riccardo Scarpa, 2008. "Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 89-98, January.
    5. Junyi Shen & Yusuke Sakata & Yoshizo Hashimoto, 2006. "A Comparison between Latent Class Model and Mixed Logit Model for Transport Mode Choice: Evidences from Two Datasets of Japan," Discussion Papers in Economics and Business 06-05, Osaka University, Graduate School of Economics.
    6. Andy S. Choi & Kelly S. Fielding, 2016. "Cultural Attitudes as WTP Determinants: A Revised Cultural Worldview Scale," Sustainability, MDPI, vol. 8(6), pages 1-18, June.
    7. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    8. Seong Ok Lyu, 2021. "Applying discrete choice models to understand sport tourists’ heterogeneous preferences for Winter Olympic travel products," Tourism Economics, , vol. 27(3), pages 482-499, May.
    9. Kosenius, Anna-Kaisa, 2010. "Heterogeneous preferences for water quality attributes: The Case of eutrophication in the Gulf of Finland, the Baltic Sea," Ecological Economics, Elsevier, vol. 69(3), pages 528-538, January.
    10. de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    11. Junui Shen & Kazuhito Ogawa & Hiromasa Takahashi, 2014. "Examining the Tradeoff Between Fixed Pay and Performance-Related Pay: A Choice Experiment Approach," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 6(2), pages 119-131, December.
    12. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    13. J Blasch & B van der Kroon & P van Beukering & R Munster & S Fabiani & P Nino & S Vanino, 2022. "Farmer preferences for adopting precision farming technologies: a case study from Italy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 33-81.
    14. Sarfo, Yaw & Musshoff, Oliver & Weber, Ron & Danne, Michael, 2021. "Farmers’ Willingness to Pay for Digital Credit: Evidence from a Discrete Choice Experiment in Madagascar," 2021 Conference, August 17-31, 2021, Virtual 315029, International Association of Agricultural Economists.
    15. Yang, Chih-Wen & Sung, Yen-Ching, 2010. "Constructing a mixed-logit model with market positioning to analyze the effects of new mode introduction," Journal of Transport Geography, Elsevier, vol. 18(1), pages 175-182.
    16. Junyi Shen, 2009. "Latent class model or mixed logit model? A comparison by transport mode choice data," Applied Economics, Taylor & Francis Journals, vol. 41(22), pages 2915-2924.
    17. Anastassiadis, Friederike & Mußhoff, Oliver, 2013. "Evaluating the role of financial flexibility in farmers' investment decisions using latent class analysis," 87th Annual Conference, April 8-10, 2013, Warwick University, Coventry, UK 158707, Agricultural Economics Society.
    18. Kim, Dohee & Park, Byung-Jin (Robert), 2017. "The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment," Tourism Management, Elsevier, vol. 63(C), pages 439-451.
    19. Helen Scarborough & Jeff Bennett, 2012. "Cost–Benefit Analysis and Distributional Preferences," Books, Edward Elgar Publishing, number 14376.
    20. Balogh, Péter & Török, Áron & Czine, Péter & Horváth, Péter, 2020. "A fogyasztói magatartás elemzése feltételes választási modellekkel - a mangalicakolbász példáján [Analysing consumer behaviour with conditional choice models, with Mangalica sausage as an example]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(5), pages 474-494.

    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:gam:jsusta:v:11:y:2019:i:11:p:3038-:d:235287. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.