A Comparative Study of Employee Attrition Analysis Using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

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A Comparative Study of Employee Attrition Analysis Using Machine Learning and Deep Learning Techniques

Published:2022-11-14 Issue: Volume: Page:1-12
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Pulari Sini Raj,Punitha A.,Raja Varshni Meenachi S.,Vasudevan Shriram

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-4960-9_1

Reference19 articles.

1. Hoffman M, Tadelis S (2021) People management skills, employee attrition, and manager rewards: an empirical analysis. J Polit Econ 129(1):243–285

2. Bennett N et al (1993) A firm-level analysis of employee attrition. Group Organ Manage 18(4):482–499

3. Kraut AI (1975) Predicting turnover of employees from measured job attitudes. Organ Behav Hum Perform 13(2):233–243

4. Srivastava DK, Nair P (2017) Employee attrition analysis using predictive techniques. In: International conference on information and communication technology for intelligent systems. Springer, Cham

5. Adhikari A (2009) Factors affecting employee attrition: a multiple regression approach. IUP J Manage Res 8(5):38

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Are You the One to Stick Around Despite the High Rate of Attrition?;Practice, Progress, and Proficiency in Sustainability;2023-06-30

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