行为决策:调和行为经济学和决策系统

J. Chai
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引用次数: 0

摘要

决策包括排序、分类和选择三个主要任务,是伴随人类发展而来的。排序和分类是信息系统、计算机科学和商业分析领域中已经得到很好研究的两个DM基本任务。决策系统是该分支的典型领域。另一个分支是经济学中正式研究过的选择。本文调和了决策系统和经济学的实质。因此,一个新的领域——行为决策(BDM)被提出并崭露头角。我们从历史的角度回顾了从新古典经济学到行为经济学的重大转变。我们将经济学和心理学原理纳入决策系统研究。行为经济学和实验经济学主张有限理性和公平,挑战了新古典经济学所假定的绝对理性和自利。BDM可能是连接新古典主义方面和行为方面的最佳方向,这将为信息管理和系统社区带来新的见解。在结合行为和心理学原理后,展示了从人到系统(机器)过渡的全貌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioral Decision Makings: Reconciling Behavioral Economics and Decision Systems
Decision-making (DM) contains three main tasks: ranking, classification, and choice, which accompanies with the development of human being. Ranking and classification are two fundamental DM tasks that have been well studied in fields of information systems, computer sciences, and business analytics. Decision systems are the typical field for this branch. Another branch is choice that has been formally studied in economics. This paper reconciles the substances of decision systems and economics. As a result, a new field, behavioral decision making (BDM), is put forward and outstanding. We review noteworthy transitions from neoclassical economics to behavioral economics in a historical perspective. We examine the principles of economic and psychology into decision systems researches. Behavioral and experimental economics advocate bounded rationality and fairness, which challenge absolute rationality and self-interest assumed by neoclassical economics. BDM could be the best direction of bridging neoclassical sides and behavioral sides, which bring new insights into the communities of information management and systems. A full picture of transitions from people to systems (machines) is exhibited after incorporating behavioral and psychological principles.
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