Strategic management of employee churn: Leveraging machine learning for sustainable development and competitive advantage in emerging markets

IF 4.8 Q1 BUSINESS Business Strategy and Development Pub Date : 2024-11-05 DOI:10.1002/bsd2.70039
Poorva Agrawal, Seema Ghangale, Bablu Kumar Dhar, Nilesh Nirmal
{"title":"Strategic management of employee churn: Leveraging machine learning for sustainable development and competitive advantage in emerging markets","authors":"Poorva Agrawal,&nbsp;Seema Ghangale,&nbsp;Bablu Kumar Dhar,&nbsp;Nilesh Nirmal","doi":"10.1002/bsd2.70039","DOIUrl":null,"url":null,"abstract":"<p>Employee churn or attrition presents significant challenges, especially in emerging markets, where it can disrupt business operations and inflate recruitment costs. This research leverages machine learning techniques to predict employee churn, focusing on developing sustainable and inclusive retention strategies that enhance business competitiveness. By analyzing a range of predictive algorithms and key variables associated with churn, the study identifies the most effective models for predicting attrition. A comprehensive exploratory data analysis was conducted using an indigenous machine learning model, offering practical insights for human resource management in emerging markets. The findings align with the sustainable development goals (SDGs), promoting decent work, and economic growth. This study contributes to business strategy by proposing data-driven solutions for workforce stability and sustainable development.</p>","PeriodicalId":36531,"journal":{"name":"Business Strategy and Development","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Strategy and Development","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bsd2.70039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

Abstract

Employee churn or attrition presents significant challenges, especially in emerging markets, where it can disrupt business operations and inflate recruitment costs. This research leverages machine learning techniques to predict employee churn, focusing on developing sustainable and inclusive retention strategies that enhance business competitiveness. By analyzing a range of predictive algorithms and key variables associated with churn, the study identifies the most effective models for predicting attrition. A comprehensive exploratory data analysis was conducted using an indigenous machine learning model, offering practical insights for human resource management in emerging markets. The findings align with the sustainable development goals (SDGs), promoting decent work, and economic growth. This study contributes to business strategy by proposing data-driven solutions for workforce stability and sustainable development.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
员工流失的战略管理:利用机器学习促进新兴市场的可持续发展和竞争优势
员工流失或减员带来了巨大的挑战,尤其是在新兴市场,它可能会扰乱企业运营并增加招聘成本。本研究利用机器学习技术预测员工流失,重点是制定可持续的包容性留任战略,以增强企业竞争力。通过分析一系列预测算法和与流失相关的关键变量,本研究确定了预测流失的最有效模型。研究使用本土机器学习模型进行了全面的探索性数据分析,为新兴市场的人力资源管理提供了实用的见解。研究结果与可持续发展目标(SDGs)、促进体面工作和经济增长相一致。本研究通过提出数据驱动的劳动力稳定和可持续发展解决方案,为企业战略做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Business Strategy and Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
期刊最新文献
Strategic management of employee churn: Leveraging machine learning for sustainable development and competitive advantage in emerging markets Corporate sustainability commitment in the Middle East and North Africa region: Impact on innovation and firm performance Beyond aroma: A sustainability performance analysis of Italian coffee roasting companies ESG risk, CEO education and gender: Evidence from Southeast Asia Beyond financials: Examining the impact of customer focus, internal processes, and learning & growth on the sustainable performance of commercial banks—Moderating role of management commitment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1