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Performance Management Systems: Developing a Model for Evaluating and Improving Performance in Organizations

Performance Management Systems: Developing a Model for Evaluating and Improving Performance in Organizations

John Ntalasha, Jackson Phiri
Copyright: © 2020 |Volume: 7 |Issue: 2 |Pages: 23
ISSN: 2327-7483|EISSN: 2327-7491|EISBN13: 9781799808206|DOI: 10.4018/IJAMSE.2020070104
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MLA

Ntalasha, John, and Jackson Phiri. "Performance Management Systems: Developing a Model for Evaluating and Improving Performance in Organizations." IJAMSE vol.7, no.2 2020: pp.48-70. http://doi.org/10.4018/IJAMSE.2020070104

APA

Ntalasha, J. & Phiri, J. (2020). Performance Management Systems: Developing a Model for Evaluating and Improving Performance in Organizations. International Journal of Applied Management Sciences and Engineering (IJAMSE), 7(2), 48-70. http://doi.org/10.4018/IJAMSE.2020070104

Chicago

Ntalasha, John, and Jackson Phiri. "Performance Management Systems: Developing a Model for Evaluating and Improving Performance in Organizations," International Journal of Applied Management Sciences and Engineering (IJAMSE) 7, no.2: 48-70. http://doi.org/10.4018/IJAMSE.2020070104

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Abstract

The purpose of this study is to develop a model for evaluating and improving performance in organizations. The design of research is based on Pulakos' performance management process model and follows the mixed methods research approach. The findings of the study reveal factors leading to challenges with performance management systems (PMS) in firms based on Pulakos' performance management process model. The study then provides recommendations for factors that can be used to address challenges with performance management systems in firms. The recommendations made are consistent with the general propositions among leading researchers in this field that effective performance management systems should be simplified, aligned with organizational goals and culture, tailored to the employees and should have strong leadership. The study also generated an integrated process model that can be used as a simplified guide for designing new PM systems, modeling and improving existing PM systems, reviewing and testing PM systems for efficiency, etc.

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