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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Personnel turnover in organizations: an agent-based simulation model.

Authors: DAL FORNO, ARIANNA; Merlone U.;

Personnel turnover in organizations: an agent-based simulation model.

Abstract

We study how personnel turnover policies may affect the global behavior of a simple model of organization. In the model we propose, heterogeneous agents interact dynamically, adapting their effort level. Effort equilibria in populations consisting of both perfectly rational and bounded-rational agents are considered. The problem is approached theoretically in simple cases, while simulation is used when more complex situations are examined. We are interested in finding a hiring/firing policy that is effective in selecting high effort in more complex cases and when agent effort may not be directly observed. We prove that, while generally the existence of such a policy is not guaranteed, in most situations an opportune choice may increase overall population effort. This research suggests that, even if explicit incentives are not considered, an opportune policy in personnel turnover can improve the general effort level of the organization. In particular, policies adapting to contingent situations are those that are likely to obtain best results.

Country
Italy
Related Organizations
Keywords

Employment, Models, Organizational, Humans, Personnel Turnover, Organizational Culture, Organizational Policy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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