NDLI: Predictive Analytics in Human Resource Management

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Predictive Analytics in Human Resource Management

Content Provider	Scilit
Author	Nijjer, Shivinder Raj, Sahil
Copyright Year	2020
Description	This volume is a step-by-step guide to implementing predictive data analytics in human resource management (HRM). It demonstrates how to apply and predict various HR outcomes which have an organisational impact, to aid in strategising and better decision-making. The book: Presents key concepts and expands on the need and role of HR analytics in business management. Utilises popular analytical tools like artificial neural networks (ANNs) and K-nearest neighbour (KNN) to provide practical demonstrations through R scripts for predicting turnover and applicant screening. Discusses real-world corporate examples and employee data collected first-hand by the authors. Includes individual chapter exercises and case studies for students and teachers. Comprehensive and accessible, this guide will be useful for students, teachers, and researchers of data analytics, Big Data, human resource management, statistics, and economics. It will also be of interest to readers interested in learning more about statistics or programming. Book Name: Predictive Analytics in Human Resource Management
Related Links	https://content.taylorfrancis.com/books/download?dac=C2019-0-10324-1&isbn=9781003026822&format=googlePreviewPdf
DOI	10.4324/9781003026822
Language	English
Publisher	Informa UK Limited
Publisher Date	2020-12-03
Access Restriction	Open
Subject Keyword	Book Name: Predictive Analytics in Human Resource Management Artificial Neural Networks Decision Making Data Analytics Interest Teachers
Content Type	Text
Resource Type	Chapter

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