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Predictive Analytics in Human Resource Management

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Predictive Analytics in Human Resource Management Nijjer
Koda Libristo: 32875787
Založba Taylor & Francis Ltd, december 2020
This volume is a step-by-step guide to implementing predictive data analytics in human resource mana... Celoten opis
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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.

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O knjigi

Polni naslov Predictive Analytics in Human Resource Management
Avtor Nijjer, Shivinder (Chitkara Business School, Punjab, India), Raj, Sahil (Punjabi University, Patiala, Punjab, India)
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2020
Število strani 216
EAN 9780367460860
ISBN 0367460866
Koda Libristo 32875787
Založba Taylor & Francis Ltd
Teža 370
Mere 233 x 155 x 18

Kategorije

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas > Personnel & human resources management
Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas > Research & development management
Economics, Finance, Business & Management > Business & Management > Business strategy
Mathematics & Science > Mathematics > Probability & statistics
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