Predictive Analytics in Human Resource Management: A Hands-on Approach

Nijjer, Shivinder/ Raj, Sahil

ISBN 10: 0367903210 / ISBN 13: 9780367903213

Verlag: Routledge India, 2020

Beschreibung

260 pages. 9.21x6.14x0.75 inches. In Stock.

Bestandsnummer des Verkäufers x-0367903210

Bibliografische Details

• Titel: Predictive Analytics in Human Resource Management: A Hands-on Approach
• Verlag: Routledge India
• Veröffentlichungsdatum: 2020
• Sprache: Englisch
• ISBN-10: 0367903210
• ISBN-13: 9780367903213
• Bindung: Hardcover
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Shivinder Nijjer is a faculty member at Chitkara Business School, Chitkara University, Punjab, India. She has also previously worked as a software engineer with Infosys Technologies Limited. She has a PhD in predictive analytics and has contributed extensively to publications in the field of management information systems and business analytics. She has published various research articles in eminent ABDC-ranked and Scopus Indexed Journals. She is also a reviewer for Scopus indexed journals. She has also been actively involved in designing and delivery of analytics courses for students.

Sahil Raj is a faculty member at School of Management Studies, Punjabi University, Patiala, India. He has a PhD in information systems and has previously worked with Ranbaxy Laboratories. His recent publications include Management Information Systems (2017) and Business Analytics (2015). He has also published numerous research papers, and is a reviewer and on the editorial board of many national and international journals. He has been invited as an expert speaker and trainer in analytics by various national institutions.