IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v62y2009i12p1262-1268.html
   My bibliography  Save this article

A hierarchical model approach for identifying the trait antecedents of general gambling propensity and of four gambling-related genres

Author

Listed:
  • Mowen, John C.
  • Fang, Xiang
  • Scott, Kristin

Abstract

In two studies, we employed a hierarchical model of personality to examine the trait antecedents of gambling. The results revealed that a set of more abstract traits were predictive of a general gambling propensity, including materialism, body resource needs (negative), competitiveness, impulsiveness, sports fanmanship, superstition, and financial conservatism (negative). In Study 2, we controlled for the general gambling propensity and investigated the trait predictors of four gambling-related genres: online, lottery, sports gambling, and marketing sweepstakes/contests. We found that general gambling propensity predicted each genre. In addition, divergent patterns of more basic traits were predictive of the different gambling forms.

Suggested Citation

  • Mowen, John C. & Fang, Xiang & Scott, Kristin, 2009. "A hierarchical model approach for identifying the trait antecedents of general gambling propensity and of four gambling-related genres," Journal of Business Research, Elsevier, vol. 62(12), pages 1262-1268, December.
    • Handle: RePEc:eee:jbrese:v:62:y:2009:i:12:p:1262-1268
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148-2963(09)00003-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Jolley, Bill & Mizerski, Richard & Olaru, Doina, 2006. "How habit and satisfaction affects player retention for online gambling," Journal of Business Research, Elsevier, vol. 59(6), pages 770-777, June.
    2. Roehl, Wesley S., 1999. "Quality of Life Issues in a Casino Destination," Journal of Business Research, Elsevier, vol. 44(3), pages 223-229, March.
    3. Steenkamp, Jan-Benedict E M & Baumgartner, Hans, 1992. "The Role of Optimum Stimulation Level in Exploratory Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 434-448, December.
    4. Marc Le Menestrel, 2001. "A Process Approach to the Utility for Gambling," Theory and Decision, Springer, vol. 50(3), pages 249-262, May.
    5. Mowen, John C. & Park, Sojin & Zablah, Alex, 2007. "Toward a theory of motivation and personality with application to word-of-mouth communications," Journal of Business Research, Elsevier, vol. 60(6), pages 590-596, June.
    6. Bosnjak, Michael & Galesic, Mirta & Tuten, Tracy, 2007. "Personality determinants of online shopping: Explaining online purchase intentions using a hierarchical approach," Journal of Business Research, Elsevier, vol. 60(6), pages 597-605, June.
    7. Conlisk, John, 1993. "The Utility of Gambling," Journal of Risk and Uncertainty, Springer, vol. 6(3), pages 255-275, June.
    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. Ambrose, Scott C. & Matthews, Lucy M. & Rutherford, Brian N., 2018. "Cross-functional teams and social identity theory: A study of sales and operations planning (S&OP)," Journal of Business Research, Elsevier, vol. 92(C), pages 270-278.
    2. Ambrose, Scott C. & Waguespack, Blaise P. & Rutherford, Brian N., 2021. "The negative effects of travel friction among road warrior salespeople," Journal of Air Transport Management, Elsevier, vol. 95(C).
    3. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
    4. June Buchanan & Yun Shen, 2021. "Gambling and marketing: a systematic literature review using HistCite," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2837-2851, June.
    5. Canina, Linda & Carvell, Steven A. & Ma, Qingzhong & Ukhov, Andrey D., 2013. "Business cycle and asset valuation in the gaming industry," Journal of Business Research, Elsevier, vol. 66(9), pages 1689-1695.
    6. Samppa Suoniemi & Lars Meyer-Waarden & Andreas Munzel & Alex Ricardo Zablah & Detmar Straub, 2020. "Big data and firm performance: The roles of market-directed capabilities and business strategy," Post-Print hal-02957479, HAL.

    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. Diecidue, E. & Schmidt, U. & Wakker, P.P., 2000. "A Theory of the Gambling Effect," Discussion Paper 2000-75, Tilburg University, Center for Economic Research.
    2. Martijn J. Burger & Martijn Hendriks & Emma Pleeging & Jan C. Ours, 2020. "The joy of lottery play: evidence from a field experiment," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1235-1256, December.
    3. Brice Corgnet & Roberto Hernán González, 2023. "On The Appeal Of Complexity," Working Papers 2312, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Martin Chegere & Paolo Falco & Marco Nieddiu & Lorenzo Pandolfi & Mattea Stein, 2022. "The Magic of the Game:Experimental Evidence on Sports Betting Behavior," CSEF Working Papers 655, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 15 Nov 2024.
    5. McLeay, Fraser & Olya, Hossein & Liu, Hongfei & Jayawardhena, Chanaka & Dennis, Charles, 2022. "A multi-analytical approach to studying customers motivations to use innovative totally autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Coussement, Kristof & De Bock, Koen W., 2013. "Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning," Journal of Business Research, Elsevier, vol. 66(9), pages 1629-1636.
    7. Humphreys, Brad & Perez, Levi, 2011. "Lottery Participants and Revenues: An International Survey of Economic Research on Lotteries," Working Papers 2011-17, University of Alberta, Department of Economics.
    8. R. Luce & C. Ng & A. Marley & János Aczél, 2008. "Utility of gambling I: entropy modified linear weighted utility," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 36(1), pages 1-33, July.
    9. Can Xu & Andreas Steiner & Jakob de Haan, 2023. "Does Economic Policy Uncertainty Encourage Gambling? Evidence from the Chinese Welfare Lottery Market," CESifo Working Paper Series 10241, CESifo.
    10. Lee, Min-Young & Kim, Youn-Kyung & Fairhurst, Ann, 2009. "Shopping value in online auctions: Their antecedents and outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 75-82.
    11. Kang, Ju-Young M. & Johnson, Kim K.P., 2015. "F-Commerce platform for apparel online social shopping: Testing a Mowen’s 3M model," International Journal of Information Management, Elsevier, vol. 35(6), pages 691-701.
    12. Filiz-Ozbay, Emel & Guryan, Jonathan & Hyndman, Kyle & Kearney, Melissa & Ozbay, Erkut Y., 2015. "Do lottery payments induce savings behavior? Evidence from the lab," Journal of Public Economics, Elsevier, vol. 126(C), pages 1-24.
    13. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    14. Ellen Garbarino & Robert Slonim, 2007. "Preferences and decision errors in the winner’s curse," Journal of Risk and Uncertainty, Springer, vol. 34(3), pages 241-257, June.
    15. Shen Liu & Hongyan Liu, 2021. "Tagging Items Automatically Based on Both Content Information and Browsing Behaviors," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 882-897, July.
    16. Mao, Luke Lunhua & Zhang, James J. & Connaughton, Daniel P., 2015. "Sports gambling as consumption: Evidence from demand for sports lottery," Sport Management Review, Elsevier, vol. 18(3), pages 436-447.
    17. Reynolds, Kate L. & Harris, Lloyd C., 2009. "Dysfunctional Customer Behavior Severity: An Empirical Examination," Journal of Retailing, Elsevier, vol. 85(3), pages 321-335.
    18. Marc Le Menestrel & Luk Van Wassenhove, 2001. "The Domain and Interpretation of Utility Functions: An Exploration," Theory and Decision, Springer, vol. 51(2), pages 329-349, December.
    19. Robin Maximilian Stetzka & Stefan Winter, 2023. "How rational is gambling?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1432-1488, September.
    20. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-837, April.

    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:eee:jbrese:v:62:y:2009:i:12:p:1262-1268. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.