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Organization vs Disorganization: A Computational Model of Goals, Motivation and Problem Solving

Herath, Dinuka, Secchi, Davide and Homberg, Fabian (2015) Organization vs Disorganization: A Computational Model of Goals, Motivation and Problem Solving. In: European Academy of Management (EURAM) 2015, 17-20 June 2015, Warsaw, Poland. (Unpublished)

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This paper presents an agent-based simulation of “disorganization” and its effect on problem solving. The Prime objective of the simulation is to determine the variance in problem solving under two settings. The first has inflexible structural limitations enacted on the agents (organization) while the other has very little structural limitations (disorganization). The simulation also employs goals as a foundation for the motivation with which agents solve problems. Findings of the simulation show that the “organization” setting guarantees a minimal number of problems are solved independent of how much simulated employees interact with each other. Instead, the “disorganization” setting seems to be more efficient when agents extend the range of social interaction, in or outside their working group, department, or division.

Item Type: Conference or Workshop Item (Paper)
Subjects: H Social Sciences > H Social Sciences (General)
Schools: Huddersfield Business School
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Depositing User: Dinuka Herath
Date Deposited: 28 Feb 2017 12:00
Last Modified: 28 Aug 2021 16:15


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