文章基本信息

标题：Individual Bias and Organizational Objectivity: An Agent-Based Simulation
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作者：Bo Xu ; Renjing Liu ; Weijiao Liu 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2014
卷号：17
期号：2
页码：1-15
DOI：10.18564/jasss.2426
出版社：University of Surrey, Department of Sociology
摘要：We introduce individual bias to the simulation model of exploration and exploitation and examine the joint effects of individual bias and other parameters, aiming to answer two questions: First, whether reducing individual bias can increase organizational objectivity? Second, whether measures, such as increasing organization size, can increase organizational objectivity in the presence of individual bias? Our results show that individual bias has both positive and negative effects, and reducing individual bias may be not beneficial when organization size is large or environment is turbulent. Diverse knowledge resulting from large organization size can help avoid the negative effects of individual bias when the bias is strong enough so that the individuals who are less limited by bias can be distinguished as the source of learning. Our results also suggest that increasing interpersonal learning, decreasing learning from the organization, task complexity, and environmental turbulence, and maintaining personnel turnover can improve organizational objectivity in the presence of individual bias.
关键词：Individual Bias; Agent-Based Modeling; Diversity; Exploration; Exploitation