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Related papers: IBM Employee Attrition Analysis

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We aim to predict whether an employee of a company will leave or not, using the k-Nearest Neighbors algorithm. We use evaluation of employee performance, average monthly hours at work and number of years spent in the company, among others,…

Machine Learning · Statistics 2018-06-28 Rahul Yedida , Rahul Reddy , Rakshit Vahi , Rahul Jana , Abhilash GV , Deepti Kulkarni

Employee's knowledge is an organization asset. Turnover may impose apparent and hidden costs and irreparable damages. To overcome and mitigate this risk, employee's condition should be monitored. Due to high complexity of analyzing…

Machine Learning · Computer Science 2024-02-07 Mahyar Karimi , Kamyar Seyedkazem Viliyani

The current job survey shows that most software employees are planning to change their job role due to high pay for recent jobs such as data scientists, business analysts and artificial intelligence fields. The survey also indicated that…

Computers and Society · Computer Science 2021-05-18 Swarajya lakshmi v papineni , A. Mallikarjuna Reddy , Sudeepti yarlagadda , Snigdha Yarlagadda , Haritha Akkinen

To predict the employee attrition beforehand and to enable management to take individualized preventive action. Using Ensemble classification modeling techniques and Linear Regression. Model could predict over 91% accurate employee…

Machine Learning · Statistics 2018-07-12 Aasheesh Barvey , Jitin Kapila , Kumarjit Pathak

Skilled employees are the most important pillars of an organization. Despite this, most organizations face high attrition and turnover rates. While several machine learning models have been developed to analyze attrition and its causal…

Artificial Intelligence · Computer Science 2023-08-29 Karishma Mohiuddin , Mirza Ariful Alam , Mirza Mohtashim Alam , Pascal Welke , Michael Martin , Jens Lehmann , Sahar Vahdati

This paper presents a novel data-driven approach to mitigating employee attrition using machine learning and data engineering techniques. The proposed framework integrates data from various human resources systems and leverages advanced…

Machine Learning · Computer Science 2025-02-26 Naveen Edapurath Vijayan

This paper provides an analysis of the effects of attrition and non-response on employment and wages using the Canadian Survey of Labour and Income Dynamics. We consider a structural model composed of three freely correlated equations for…

Applications · Statistics 2007-10-25 Brahim Boudarbat , Lee Grenon

Enterprises have put more and more emphasis on data analysis so as to obtain effective management advices. Managers and researchers are trying to dig out the major factors that lead to employees' promotion and resignation. Most previous…

Physics and Society · Physics 2015-03-10 Jia Yuan , Qian-Ming Zhang , Jian Gao , Linyan Zhang , Xue-Song Wan , Xiao-Jun Yu , Tao Zhou

Amidst growing uncertainty and frequent restructurings, the impacts of employee exits are becoming one of the central concerns for organizations. Using rich communication data from a large holding company, we examine the effects of employee…

Social and Information Networks · Computer Science 2024-02-27 David Gamba , Yulin Yu , Yuan Yuan , Grant Schoenebeck , Daniel M. Romero

Purpose - Inefficient hiring may result in lower productivity and higher training costs. Productivity losses caused by absenteeism at work cost U.S. employers billions of dollars each year. Also, employers typically spend a considerable…

Machine Learning · Computer Science 2022-02-09 Gopal Nath , Antoine Harfouche , Austin Coursey , Krishna K. Saha , Srikanth Prabhu , Saptarshi Sengupta

In this study we propose a method based on e-mail social network analysis to compare the communication behavior of managers who voluntarily quit their job and managers who decide to stay. Collecting 18 months of e-mail, we analyzed the…

Social and Information Networks · Computer Science 2021-05-20 P. A. Gloor , A. Fronzetti Colladon , F. Grippa , G. Giacomelli

Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and over $9 billion is spent educating these students. Yet, little quantitative research has analyzed the causes and possible…

Machine Learning · Statistics 2017-03-09 Lovenoor Aulck , Nishant Velagapudi , Joshua Blumenstock , Jevin West

Analyzing job hopping behavior is important for the understanding of job preference and career progression of working individuals. When analyzed at the workforce population level, job hop analysis helps to gain insights of talent flow and…

Social and Information Networks · Computer Science 2018-03-02 Richard J. Oentaryo , Xavier Jayaraj Siddarth Ashok , Ee-Peng Lim , Philips Kokoh Prasetyo

The COVID-19 pandemic has permanently altered workplace structures, normalizing remote work. However, critical evidence highlights challenges with fully remote arrangements, particularly for software teams. This study investigates employee…

Software Engineering · Computer Science 2025-10-08 Darja Smite , Franz Zieris , Lars-Ola Damm

Background. Career abandonment, the process in which professionals leave the activity, assuming positions in another area, among software developers involves frustration with the lost investment and emotional and financial costs, even…

Software Engineering · Computer Science 2025-03-07 Tiago Massoni , Ricardo Duarte , Ruan Oliveira

People are often reluctant to incorporate information produced by algorithms into their decisions, a phenomenon called ``algorithm aversion''. This paper shows how algorithm aversion arises when the choice to follow an algorithm conveys…

Theoretical Economics · Economics 2024-08-02 Gregory Weitzner

Employee turnover refers to an individual's termination of employment from the current organization. It is one of the most persistent challenges for firms, especially those ones in Information Technology (IT) industry that confront high…

Machine Learning · Computer Science 2025-02-05 Hao Liu , Yong Ge

One of the long term goals of any college or university is increasing the student retention. The negative impact of student dropout are clear to students, parents, universities and society. The positive effect of decreasing student…

Computers and Society · Computer Science 2017-07-20 Mehrdad J. Bani , Mina Haji

This paper considers how the effect of job displacement varies across different individuals. In particular, our interest centers on features of the distribution of the individual-level effect of job displacement. Identifying features of…

Econometrics · Economics 2020-10-01 Afrouz Azadikhah Jahromi , Brantly Callaway

An academic team is a highly-cohesive collaboration group of scholars, which has been recognized as an effective way to improve scientific output in terms of both quality and quantity. However, the high staff turnover brings about a series…

Social and Information Networks · Computer Science 2022-02-24 Shuo Yu , Jiaying Liu , Feng Xia , Haoran Wei , Hanghang Tong
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