Introducing HR analytics with machine learning: empowering practitioners, psychologists, and organizations (Record no. 2718)

MARC details
000 -LEADER
fixed length control field 02433nam a22002177a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220813110819.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220718b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030676254
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.300285631
Item number ROS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Rosett, Christopher M.
245 ## - TITLE STATEMENT
Title Introducing HR analytics with machine learning: empowering practitioners, psychologists, and organizations
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer
Place of publication, distribution, etc. Switzerland
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent vii, 271 p.
365 ## - TRADE PRICE
Price type code EURO
Price amount 119.99
520 ## - SUMMARY, ETC.
Summary, etc. About this book<br/>This book directly addresses the explosion of literature about leveraging analytics with employee data and how organizational psychologists and practitioners can harness new information to help guide positive change in the workplace. In order for today’s organizational psychologists to successfully work with their partners they must go beyond behavioral science into the realms of computing and business acumen. Similarly, today’s data scientists must appreciate the unique aspects of behavioral data and the special circumstances which surround HR data and HR systems. Finally, traditional HR professionals must become familiar with research methods, statistics, and data systems in order to collaborate with these new specialized partners and teams. Despite the increasing importance of this diversity of skill, many organizations are still unprepared to build teams with the comprehensive skills necessary to have high performing HR Analytics functions. And importantly, all these considerations are magnified by the introduction and acceleration of machine learning in HR.<br/><br/>This book will serve as an introduction to these areas and provide guidance on building the connectivity across domains required to establish well-rounded skills for individuals and best practices for organizations when beginning to apply advanced analytics to workforce data. It will also introduce machine learning and where it fits within the larger HR Analytics framework by explaining many of its basic tenets and methodologies. By the end of the book, readers will understand the skills required to do advanced HR analytics well, as well as how to begin designing and applying machine learning within a larger human capital strategy
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Personnel management--Data processing
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychology, Industrial
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Hagerty, Austin
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences TB842 30-06-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 07/18/2022 Technical Bureau India Pvt. Ltd. 6784.83   658.300285631 ROS 002826 07/18/2022 1 10319.14 07/18/2022 Book

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha