• Title/Summary/Keyword: gambler's fallacy

Search Result 2, Processing Time 0.015 seconds

Gambler's Fallacy Bias on the Supply Chain (도박사 오류 바이어스가 공급사슬에 미치는 영향에 관한 연구)

  • Moon, Seong-Am;Park, Young-Il;Seok, Sun-Bok
    • Korean System Dynamics Review
    • /
    • v.12 no.4
    • /
    • pp.157-175
    • /
    • 2011
  • The purpose of this paper is to find out the effects of the gambler's fallacy bias on the supply chain. For this study, the simulation was based on a casual structure of the Beer Distribution Game from Sterman(2000)'s Business Dynamics and designed into 2 different models : the first model carries the exact same structure as the reference mentioned above and for the second model, the comparison model is used reflecting gambler's fallacy bias. Each model has 2 different demand patterns. The 4 cases of models was tested with 1,000 different random number seeds. The results for the simulation are following : In the aspect of the inventory and out of stock, the basic model resulted better than the comparison. However, in the bullwhip effect, the comparison model has less than the basic in terms of the level demand pattern. But there was no significant difference in the cycle demand.

  • PDF

Testing a Model to Predict Problem Gambling in Speculative Game Users (사행성 게임 이용자의 문제도박 예측 구조모형)

  • Park, Hyangjin;Kim, Suk-Sun
    • Journal of Korean Academy of Nursing
    • /
    • v.48 no.2
    • /
    • pp.195-207
    • /
    • 2018
  • Purpose: The purpose of the study was to develop and test a model for predicting problem gambling in speculative game users based on Blaszczynski and Nower's pathways model of problem and pathological gambling. Methods: The participants were 262 speculative game users recruited from seven speculative gambling places located in Seoul, Gangwon, and Gyeonggi, Korea. They completed a structured self-report questionnaire comprising measures of problem gambling, negative emotions, attentional impulsivity, motor impulsivity, non-planning impulsivity, gambler's fallacy, and gambling self-efficacy. Structural Equation Modeling was used to test the hypothesized model and to examine the direct and indirect effects on problem gambling in speculative game users using SPSS 22.0 and AMOS 20.0 programs. Results: The hypothetical research model provided a reasonable fit to the data. Negative emotions, motor impulsivity, gambler's fallacy, and gambling self-efficacy had direct effects on problem gambling in speculative game users, while indirect effects were reported for negative emotions, motor impulsivity, and gambler's fallacy. These predictors explained 75.2% problem gambling in speculative game users. Conclusion: The findings suggest that developing intervention programs to reduce negative emotions, motor impulsivity, and gambler's fallacy, and to increase gambling self-efficacy in speculative game users are needed to prevent their problem gambling.