Predictors of PGSI: A Study of Pakistan Stock Exchange

Document Type: Research Paper

Authors

1 Department of Statistics, COMSATS Institute of IT, Lahore, Pakistan

2 Department of Management Studies, University of Sargodha, Lahore, Pakistan

Abstract

This study used PGSI to measure the motives of online stock exchange gamblers according to their responses about their online gambling. The main aim of the current study is to holistically explore the impact of motivational factors that motivate more usage of online gambling in Pakistan and behavioral factors that investigate the level of implementation of responsible gambling practices on PGSI in Pakistan’s online stock exchange gamblers. We collected data through questionnaires and for analysis we used SEM, multiple regression and multinomial logistic regression. Results indicated that motivational factors that significantly impact PGSI are excitement, financial motivation, escape and relaxation and in terms of responsible gambling practices, game design and transparent terms and conditions are the key elements of behavioral factors while self-exclusion and self-help (SE and SH) are not considered as significant factors.

Keywords

Main Subjects


Article Title [Persian]

پیش بینیهای شاخص شدت مشکل قمار: مطالعه بورس اوراق بهادار پاکستان

Authors [Persian]

  • محمد نورالامین 1
  • صدف نورعین 2
1 گروه آمار، موسسه فن آوری اطلاعات کومساتس، لاهور،پاکستان
2 گروه مطالعات مدیریت، دانشگاه سارگودها، لاهور، پاکستان
Abstract [Persian]

این مطالعه برای سنجش انگیزههای قماربازان بورس آنلاین، از شاخص شدت مشکل قمار، به واکنشهای آنها در مورد قمار آنلاین استفاده می کند. هدف اصلی مطالعه حاضر، بررسی تاثیر عوامل انگیزشی است که باعث افزایش استفاده از قمار آنلاین در پاکستان و عوامل رفتاری میشود و میزان اجرای شیوههای قمار مسالمتآمیز با شاخص شدت مشکل قمار را در قماربازان بورس آنلاین در پاکستان بررسی میکند. دادهها با استفاده از پرسشنامه جمعآوری شد و برای تجزیه و تحلیل از SEM، رگرسیون چندگانه و رگرسیون لجستیک چندجملهای استفاده شد. نتایج نشان داد که عوامل انگیزشی که به طور قابل توجهی در شاخص شدت مشکل قمار تاثیر میگذارد، شامل هیجان، انگیزه مالی، فرار و آرامش است و در شرایط مشروط به قمار، شرایط و شفافیت طراحی بازی، عناصر کلیدی عوامل رفتاری است، در حالی که خودمختاری و خودباوری (SE و SH) به عنوان عواملی تاثیرگذار محسوب نمیشود.

Keywords [Persian]

  • تجزیه و تحلیل عوامل
  • رگرسیون
  • قمار
Abdi, T. A. (2014). Gambling: Cultural factors, motivations and impacts on quality of life. Journal of Addictive Behaviours, Therapy & Rehabilatation, 3(4), 1-4.
Alm, L. (1998). Linear correlation and regression. In G. Miler, & M. Whicker (Eds.), Hand-book of Research Methods in Public Administration. Taylor and Francis.
Baker, F., & Kim, S. (1971). Item response theory parameter estimation techniques (2nd ed.). New York: Marcel Dekker.
Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487-499.
Blaszczynski, A., Steel, Z., & McConaghy, N. (1997). Impulsivity in pathological gambling: the antisocial impulsivist. Addiction, 92(1), 75-87 .
Boyce, C. J., Wood, A. M., & Powdthavee, N. (2013). Is personality fixed? Personality changes as much as “variable” economic factors and more strongly predicts changes to life satisfaction. Social Indicators Research, 111(1), 287-305.
Callan, M., Ellard, J., Shead, N., & Hodgins, D. (2008). Gambling as a Search for Justice: Examining the role of personal relative deprivation in gambling urges and gambling behaviour. Personality and Social Psychology bulletin, 34(11), 1514-1529.
Clarke, D. (2004). Impulsiveness, locus of control, motivation and problem gambling. Journal of Gambling Studies, 20(4), 319-345.
Clarke, D., & Rossen, F. (2000). Adolescent gambling and problem gambling: A New Zealand study. New Zealand Journal of Psychology, 29(1), 10-16.
Field, A. (2009). Discovering statistics using spss 3rd edition. (SAGE, Ed.) California: Thousand Oaks, California: SAGE.
Griffiths, M. D. (2009). Problem gambling in Europe: An overview. Report prepared for Apex Communications.
Gujarati, D. (2003). Basic econometrics (4th ed.). New Delhi: Tata McGraw-Hill.
Habil, S. A. (2012). Reviewing two types of addiction − pathological gambling and substance use. Indian Journal of Psychological Medicine, 34(1) , 5.
Hooper, D. C. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53-60.
Hair Jr, J. F., Barry, J., & Kr, B. (2017). Covariance-Based Structural Equation Modeling in the Journal of Advertising: Review and Recommendations. Journal of Advertising, 46(1), 163-177.
Jassinove, J. (1996). Pathological gambling :The neglected epidemic behaviour therapist . Journal of Gambling Studies, 19, 102-104.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Mulkeen, J., Abdou, H., & Parke, J. (2016). A three stage analysis of motivational and behavioural factors in UK internet gambling. Personality and Individual Differences, 107, 114-125.
Myrseth, H., & Notelaers, G. (2016). Is the gambling motives questionnaire really three-dimensional? a proposition of a four-dimensional Gambling Motives Questionnaire – Revised. Addictive Behaviors, 65, 68-73.
Potenza, M., Fiellin, D., Heninger, G., Rounsavila, B., & Mazure, C. (2002). An addictive behaviour with heatlh and primary care implication. Journal of General Internal Medicine, 17(9), 721-732.
Reeve, J. (2009). Understanding motivation and emotion (6th ed.). Hoboken, NJ: John Wiley & Sons.
Reith, G. (2012). Beyond addiction or compulsion: The continuing role of environment in the case of pathological gambling. Addiction, 107(10), 1736-1737.
Rick, A. (1998). Pro-Gambling interests outspend opponents in Missouri Campaign. The Kansas City Star.
Sekaran, U. (2003). Research methods for business: A skill-building approach (4th ed.). New York: John Wiley & Sons.
Shook, L., Ketchen, J., Hult, G., & Kacmar, K. (2004). an assessment of the use of structural equation modelling in strategic management research. Strategic Management Journal.
Smith, D., Battersby, M., Harvey, P., Pols, R., Baigent, M., & Oakes, J. (2011). The in fl uence of depression and other co-occurring conditions on treatment out- comes for problem gamblers: A cohort study. The Medical Journal of Australia, 195(3), 56-59.
Terry, D., Gallois, C., & Mccamish, M. (1977). Self efficiency expectancies and theory of reseaned action. International Series In Experimental Social Psychology.
Wittek, C., Finserås, T., Pallesen, S., Mentzoni, R., Hanss, D., Griffiths, M., et al. (2016). Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health and Addiction, 14(5), 672-686.