HR analytics : (Record no. 240918)

MARC details
000 -LEADER
fixed length control field 05768nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260305173143.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789357461733
040 ## - CATALOGING SOURCE
Transcribing agency AIMIT LIBRARY
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 2
Classification number 658.30015
Item number BHAD
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bhattacharyya, Dipak Kumar.
9 (RLIN) 255618
245 ## - TITLE STATEMENT
Title HR analytics :
Remainder of title understanding theories and applications /
Statement of responsibility, etc. Dipak Kumar Bhattacharyya.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi :
Name of publisher, distributor, etc. Wiley ,
Date of publication, distribution, etc. 2024.
300 ## - PHYSICAL DESCRIPTION
Extent xix,222p. ;
Other physical details PB
Dimensions 24 cm
500 ## - GENERAL NOTE
General note HR Analytics: Understanding Theories and Applications, 2nd edition, delves deeper into the transformative world of data-driven human resource management. In an era defined by the rapid evolution of technology, it discovers the latest insights on artificial intelligence (AI) and machine learning (ML), and explores the major advances and applications of big data, providing HR professionals with the tools they need to make strategic, data-driven decisions.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Preface to the Second Edition<br/><br/>Preface to the First Edition<br/><br/>About the Author<br/><br/>Acknowledgements<br/><br/> <br/><br/>Chapter 1 Evolution of Human Resource Management Function<br/><br/>1.1 Introduction<br/><br/>1.2 History of Different HRM Perspectives<br/><br/>1.3 HRM and Strategy<br/><br/>1.4 Reinforcement of HR Strategy Factors with HR Analytics<br/><br/>1.5 Human Resource Management as a Process<br/><br/>1.6 Human Resource Management as a System<br/><br/>1.7 Better Clarity on Roles of HR Managers<br/><br/>1.8 Transition of Human Resource Management to Human Capital Management<br/><br/>1.9 Sustainable Competitive Advantage through Human Capital<br/><br/>1.10 Emergence of Human Resource Control Systems<br/><br/>1.11 Measurement Tools Used in Human Resource Controlling<br/><br/> <br/><br/>Chapter 2 HR Decision-Making and HR Analytics<br/><br/>2.1 Introduction<br/><br/>2.2 HR Decision-Making<br/><br/>2.3 Descriptive HR Decision-Making<br/><br/>2.4 Correlational HR Decision-Making<br/><br/>2.5 Predictive HR Decision-Making<br/><br/>2.6 Concept and Definitions of Analytics<br/><br/>2.7 Importance and Significance of HR Analytics<br/><br/>2.8 Benefits of HR Analytics<br/><br/>2.9 Steps to Implement HR Analytics<br/><br/>2.10 Critical HR Decision-Making and HR Analytics<br/><br/>2.11 Predictive HR Analytics<br/><br/>2.11.1 Benefits of Predictive Analytics<br/><br/>2.12 HR Analytics and Changing Role of HR Managers<br/><br/> <br/><br/>Chapter 3 Introduction to HR Analytics<br/><br/>3.1 Introduction<br/><br/>3.2 Concepts and Definitions<br/><br/>3.3 Aligning Human Resources to Business through HR Analytics<br/><br/>3.4 Steps for Alignment of HR Analytics with Business Goals and Strategies<br/><br/>3.5 Checklists for Strategies and Business-Aligned HR Analytics<br/><br/>3.6 History of HR Analytics<br/><br/>3.7 Applications of HR and Predictive Analytics<br/><br/>3.8 Importance and Benefits of HR Analytics<br/><br/>3.9 HR Analytics Framework and Models<br/><br/> <br/><br/>Chapter 4 HR Business Process and HR Analytics<br/><br/>4.1 Introduction<br/><br/>4.2 Statistics and Statistical Modelling for HR Research and HR Decision-Making<br/><br/>4.3 HR Research Tools and Techniques<br/><br/>4.4 Data Analysis for Human Resources<br/><br/>4.5 Parametric and Non-Parametric Tests<br/><br/>4.6 HRIS for HR Decision-Making<br/><br/>4.6.1 Objectives of HRIS<br/><br/>4.7 HR Metrics<br/><br/>4.8 Recruitment Metrics<br/><br/>4.9 Metrics for Training and Development Function<br/><br/>4.10 HR Scorecard<br/><br/>4.11 HR Dashboards<br/><br/>4.12 HR Analytics as a Better Tool for HR Decisions<br/><br/>4.13 Compelling Reasons for HR Analytics<br/><br/> <br/><br/>Chapter 5 Forecasting and Measuring HR Value Propositions with HR Analytics<br/><br/>5.1 Introduction<br/><br/>5.2 Value Proposition and HR Decisions<br/><br/>5.3 Sustainability in HR Decisions<br/><br/>5.4 HR Analytics and HR Value Propositions<br/><br/>5.5 HR Optimization through HR Analytics<br/><br/>5.6 HR Forecasting, HR Plan and HR Analytics<br/><br/>5.7 Predictive HR Analytics<br/><br/> <br/><br/>Chapter 6 HR Analytics and Data<br/><br/>6.1 Introduction<br/><br/>6.2 HR Data and Data Quality<br/><br/>6.3 HR Data Collection<br/><br/>6.3.1 Steps for HR Data Collection<br/><br/>6.4 Big Data for Human Resources<br/><br/>6.5 Transforming HR Data into HR Information<br/><br/>6.6 Process of Data Collection for HR Analytics<br/><br/>6.7 Data Collection for Effective HR Measurement<br/><br/>6.8 HR Reporting<br/><br/>6.9 Types and Forms of HR Reports<br/><br/>6.10 Data Visualization or HR Report Visualization<br/><br/>6.10.1 Performing Root Cause Analysis<br/><br/>6.11 Datafication of Human Resources<br/><br/> <br/><br/>Chapter 7 HR Analytics and Predictive Modelling<br/><br/>7.1 Introduction<br/><br/>7.2 Different Phases of HR Analytics or HR Predictive Modelling<br/><br/>7.3 Examples of Predictive Analytics<br/><br/>7.4 Data and Information for HR Predictive Analysis<br/><br/>7.5 Software Solutions<br/><br/>7.6 Predictive Analytics Tools and Techniques<br/><br/> <br/><br/>Chapter 8 HR Analytics for Future<br/><br/>8.1 Introduction<br/><br/>8.2 Understanding Future Human Resources<br/><br/>8.3 Generic Future HR Skillsets and Knowledge<br/><br/>8.4 Ethical Issues in HR Analytics<br/><br/>8.5 HR Feel More Empowered with HR Analytics<br/><br/>8.6 Artificial Intelligence and HR<br/><br/>8.7 Different Types of AI for HR Functions<br/><br/>8.8 AI and Machine Learning<br/><br/> <br/><br/>Summary<br/><br/>Multiple-Choice Questions<br/><br/>Review Questions<br/><br/>Critical Review Question<br/><br/>Case Study<br/><br/>References<br/><br/>Appendix<br/><br/>Glossary<br/><br/>Index
505 ## - FORMATTED CONTENTS NOTE
Statement of responsibility About the Author<br/>Dipak Kumar Bhattacharyya is an Ex-Professor of Xavier Institute of Management, Bhubaneswar (XIMB). He has more than 15 years of professional experience and over 25 years of teaching experience. He was previously the Corporate Director at the Camellia School of Business Management, Kolkata. Before that, he was the Dean of the Indian Institute of Social Welfare and Business Management (IISWBM); Director, Centre for Management Education, AIMA, New Delhi; Professor, Institute of Management Technology.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element HR decision- making and HR analytics
9 (RLIN) 255619
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element HR analytics and data
9 (RLIN) 255620
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element HR analytics for future
9 (RLIN) 255621
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 2nd
Call number prefix 658.30015 BHAD
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MBA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology Analytics 02/12/2026 SK Publishers & Distributors 899.00 Bill no:SKP4043;Bill dt:2026/2/2   658.30015 BHAD MBA15260 05/23/2026 674.25 02/18/2026 Book