Predictive Analytics in Human Resource Management: A Hands-on Approach
Autor Shivinder Nijjer, Sahil Rajen Limba Engleză Hardback – 4 dec 2020
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.
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Specificații
ISBN-13: 9780367903213
ISBN-10: 0367903210
Pagini: 236
Ilustrații: 23 Line drawings, black and white; 20 Halftones, black and white; 10 Tables, black and white; 43 Illustrations, black and white
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge India
Locul publicării:Oxford, United Kingdom
ISBN-10: 0367903210
Pagini: 236
Ilustrații: 23 Line drawings, black and white; 20 Halftones, black and white; 10 Tables, black and white; 43 Illustrations, black and white
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.45 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge India
Locul publicării:Oxford, United Kingdom
Public țintă
PostgraduateCuprins
1. Analytics in HRM 2. Looking for Data 3. Modelling the Business Problem 4. Predictive Analytics Tools and Techniques 5. Evaluation of Analytical Outcomes 6. Predictive HR Analytics in Recruitment and Selection 7. Predictive HR Analytics in Turnover and Separation 8. Predictive HR Analytics in Other Areas of HRM 9. Emerging Trends in Predictive HR Analytics
Notă biografică
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.
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.
Descriere
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 organizational impact, to aid in strategizing and better decision making.