Unveiling the Retention Puzzle for Optimizing Employee Engagement and Loyalty Through Analytics-Driven Performance Management: A Systematic Literature Review-Reference-Cited by-同舟云学术

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Unveiling the Retention Puzzle for Optimizing Employee Engagement and Loyalty Through Analytics-Driven Performance Management: A Systematic Literature Review

Published:2024-01-28 Issue: Volume: Page:
ISSN:
Container-title:2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)
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Author:

Al-Alawi Adel Ismail¹,AlBinAli Fatema Ahmed²

Affiliation:

1. University of Bahrain,Management & Marketing Department,Sakhir,Bahrain

2. College of Applied Studies, University of Bahrain,Sakhir,Bahrain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459226/10459347/10459383.pdf?arnumber=10459383

Reference24 articles.

1. A decade of research on machine learning techniques for predicting employee turnover: A systematic literature review

2. Algorithms for operational decision-making: An absorptive capacity perspective on the process of converting data into relevant knowledge

3. An ensemble learning model for predicting the intention to quit among employees using classification algorithms

4. Applying the Job Demands-Resources model

5. Artificial intelligence as a boundary-crossing object for employee engagement and performance

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1. Beyond the Storm;Advances in Hospitality, Tourism, and the Services Industry;2024-06-30

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