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2024 | OriginalPaper | Chapter

Organizational Performance Evaluation Using Artificial Intelligence Algorithm

Authors : Elif Yıldırım, Kenan Aydoğdu, Ayten Yilmaz Yalciner, Tijen Over Ozcelik, Mehmet Cetinkaya

Published in: Advances in Intelligent Manufacturing and Service System Informatics

Publisher: Springer Nature Singapore

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Abstract

The chapter delves into the intricacies of organizational performance evaluation using advanced artificial intelligence algorithms. It begins by outlining the necessity of an effective Performance Evaluation System (PDS) for precise and productive assessments. The Balanced Scorecard method, a strategic tool integrating financial and non-financial metrics, is introduced as a revolutionary approach to evaluating organizational performance. The chapter then explores the application of fuzzy logic, a sophisticated logical system capable of handling uncertainties and ambiguities, in performance evaluation. A case study involving the Kayalar Group demonstrates the practical implementation of fuzzy logic in assessing company performance, revealing insights into the accuracy and efficiency of this method compared to traditional approaches. The chapter concludes with a detailed analysis of the results, showcasing the potential of AI algorithms in transforming organizational performance evaluation.
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previous chapter Optimization of Methylene Blue Adsorption on Olive Seed Activated Carbon Using Response Surface Methodology (RSM) Modeling-Artificial Neural Network
next chapter A Fuzzy Logic Approach for Corporate Performance Evaluation
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Metadata
Title
Organizational Performance Evaluation Using Artificial Intelligence Algorithm
Authors
Elif Yıldırım
Kenan Aydoğdu
Ayten Yilmaz Yalciner
Tijen Over Ozcelik
Mehmet Cetinkaya
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Advances in Intelligent Manufacturing and Service System Informatics

Print ISBN: 978-981-9960-61-3

Electronic ISBN: 978-981-9960-62-0

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-99-6062-0_68

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