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

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

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內容簡介

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.

 

作者簡介

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. Besides, she has 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, 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.

 

詳細資料

  • ISBN:9780367903213
  • 規格:精裝 / 260頁 / 普通級 / 初版
  • 出版地:英國
 

商品公告訊息

  • POD商品訂購提醒

    本書為訂購後印製(POD)之商品,將於購買後進貨,約需等待30-40天,建議您單獨下單,謝謝耐心等候。

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