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The Role of Dysfunctional Myths in a Decision-Making Process under Bounded Rationality: A Complex Dynamical Systems Perspective

机译:功能障碍神话在有限理性下的决策过程中的作用:复杂动力系统的视角

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The present study examines the factors influencing a decision-making process, with specific focus on the role of dysfunctional myths (DM). DM are thoughts or beliefs that are rather irrational, however influential to people's decisions. In this paper a decision-making process regarding the career choice of university students majoring in natural sciences and education (N=496) is examined by analyzing survey data taken via Career Decision Making Difficulties Questionnaire (CDDQ). The difficulty of making the choice and the certainty about one's decision were the state variables, while the independent variables were factors related to the lack of information or knowledge needed, which actually reflect a bounded rationality. Cusp catastrophe analysis, based on both least squares and maximum likelihood procedures, showed that the nonlinear models predicting the two state variables were superior to linear alternatives. Factors related to lack of knowledge about the steps involved in the process of career decision-making, lack of information about the various occupations, lack of information about self and lack of motivation acted as asymmetry, while dysfunctional myths acted as bifurcation factor for both state variables. The catastrophe model, grounded in empirical data, revealed a unique role for DM and a better interpretation within the context of complexity and the notion of bounded rationality. The analysis opens the nonlinear dynamical systems (NDS) perspective in studying decision-making processes. Theoretical and practical implications are discussed.
机译:本研究检查了影响决策过程的因素,特别着重于功能障碍神话(DM)的作用。 DM是相当不合理的思想或信念,但是会影响人们的决策。本文通过分析通过职业决策困难问卷(CDDQ)获得的调查数据,研究了自然科学和教育专业(N = 496)关于大学生职业选择的决策过程。做出选择的困难和决定的确定性是状态变量,而自变量是与缺乏所需信息或知识有关的因素,实际上反映了有限的理性。基于最小二乘和最大似然程序的尖点突变分析表明,预测两个状态变量的非线性模型优于线性替代方案。与以下因素有关的因素不对称:不了解职业决策过程中涉及的步骤,缺乏有关各种职业的信息,缺乏有关自我的信息以及缺乏动机,而功能失调的神话则成为两种状态的分歧因素。变量。基于经验数据的巨灾模型揭示了DM的独特作用,并在复杂性和有限理性的概念下更好地解释了DM。该分析为研究决策过程打开了非线性动力学系统(NDS)的视野。讨论了理论和实践意义。

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