Agent-based modelling of helping behaviour diffusion in project teams as an evolutionary process

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Simulation Pub Date : 2022-02-14 DOI:10.1080/17477778.2021.1997342
Nan Zhao, H. Chong, Q. Li
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引用次数: 4

Abstract

ABSTRACT While behavioural diffusion is highly significant in behaviouristics, the relevant management studies remain limited, particularly for the extra-role of helping behaviour in project-based organisation. The helping behaviour diffusion mechanism could profoundly impact teamwork and project teams’ performance improvement. Therefore, this research aims to promote helping behaviour in project teams by exploring helping behavioural diffusion based on dynamic behavioural analyses and simulations. This research set up the Agent-based Modelling to simulate the helping behaviour diffusion, and considered influential factors, including team task characteristics, team size, and incentive system. Then, this research conducted simulation experiments in Netlogo and found that an increase in task dependence and cooperative spillover effect can promote the spread of helping behaviour, while an increase in team size, profit-sharing coefficient, and individual fixed income could inhibit such diffusion. The research provides new insights into cultivating a mutual helping culture within project teams.
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基于agent的项目团队帮助行为扩散的演化过程建模
摘要虽然行为扩散在行为学中非常重要,但相关的管理研究仍然有限,特别是在项目组织中帮助行为的额外作用方面。帮助行为扩散机制可以深刻影响团队合作和项目团队的绩效改进。因此,本研究旨在通过探索基于动态行为分析和模拟的帮助行为扩散,促进项目团队的帮助行为。本研究建立了基于Agent的模型来模拟帮助行为的扩散,并考虑了影响因素,包括团队任务特征、团队规模和激励制度。然后,本研究在Netlogo中进行了模拟实验,发现任务依赖性和合作溢出效应的增加可以促进帮助行为的传播,而团队规模、利润分享系数和个人固定收入的增加可以抑制这种传播。这项研究为在项目团队中培养互助文化提供了新的见解。
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来源期刊
Journal of Simulation
Journal of Simulation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
期刊介绍: Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.
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