| 000 -LEADER |
| fixed length control field |
04921cam a2200481Ii 4500 |
| 001 - CONTROL NUMBER |
| control field |
u13508 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
SA-PMU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20210418124558.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
151117t20162016enka f b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
| LC control number |
2015050726 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
CDX |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
CDX |
| Modifying agency |
IG$ |
| -- |
YDXCP |
| -- |
OCLCF |
| -- |
BDX |
| -- |
BTCTA |
| -- |
IOJ |
| -- |
PHUST |
| -- |
FIE |
| -- |
OCLCQ |
| 019 ## - |
| -- |
919564136 |
| -- |
930255124 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780749473914 |
| Qualifying information |
(pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
0749473916 |
| Qualifying information |
(pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| Canceled/invalid ISBN |
9780749473921 |
| Qualifying information |
(ebook) |
| 035 ## - SYSTEM CONTROL NUMBER |
| System control number |
(OCoLC)944012402 |
| Canceled/invalid control number |
(OCoLC)919564136 |
| -- |
(OCoLC)930255124 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HF5549 |
| Item number |
.E416 2016 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
658.30072/7 |
| Edition number |
23 |
| 029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) |
| OCLC library identifier |
AU@ |
| System control number |
000057438343 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Edwards, Martin R., |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Predictive HR analytics : |
| Remainder of title |
mastering the HR metric / |
| Statement of responsibility, etc. |
Martin R. Edwards and Kirsten Edwards. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
London : |
| Name of producer, publisher, distributor, manufacturer |
KoganPage, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Date of production, publication, distribution, manufacture, or copyright notice |
©2016 |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xiii, 457 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"While other departments in an organization deal with profits, sales growth, and strategic planning, Human Resources (HR) is responsible for employee well-being, engagement, and staff motivation. Even though it may not be immediately obvious, the management of these duties often requires a great deal of measurement and technical skill. Predictive HR Analytics provides a clear and accessible framework to understanding and learning to work with HR analytics at an advanced level, using examples of particular predictive models, such as diversity analysis, predicting turnover, evaluating interventions, and predicting performance. When dealing with metrics, management information, and analytics, HR practitioners rarely use any advanced statistical techniques or go beyond describing the characteristics of the workforce. Authors Martin Edwards and Kirsten Edwards explain the business applications of HR predictive models; the ethics and limitations of HR analytics; how to carry out an analysis; predict turnover, performance, recruiting, and selection outcomes; and monitor the impact of interventions."-- |
| Assigning source |
Provided by publisher. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"Where other functions of an organization deal in profits, sales growth and forecasts and strategic planning, the HR function is responsible for employee well-being, engagement and motivation. Such concerns do not immediately conjure up images of technical know-how, despite the fact that in reality the management of such things may often require a lot of measurement and technical skill. Predictive HR Analytics: Mastering the HR Metric provides a clear, accessible framework with which to understand and work with HR analytics at an advanced level, taking the reader through examples of particular predictive models. When dealing with HR metrics, management information and HR analytics, HR practitioners rarely use any advanced statistical techniques to make the most of the data they have. This book will show the reader step-by-step, using simple terms, how to carry out the analysis (using the statistical package SPSS) and how to interpret the results, helping them to communicate the potential of HR analytics and get the most out of their HR function, whether they are carrying out the analysis themselves or briefing external consultants. Predictive HR Analytics: Mastering the HR Metric will help HR professionals to deliver a credible and reliable service to the businesses that they support by providing metrics on which executives will be able to make sound business decisions"-- |
| Assigning source |
Provided by publisher. |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Section -- 01: Understanding HR analytics; Section -- 02: HR information systems and data; Section -- 03: Analysis strategies; Section -- 04: Case study 1: Diversity analytics; Section -- 05: Case study 2: Employee attitude surveys engagement and workforce perceptions; Section -- 06: Case study 3: Predicting employee turnover; Section -- 07: Case study 4: Predicting employee performance; Section -- 08: Case study 5: Recruitment and selection analytics; Section -- 09: Case study 6: Monitoring the impact of interventions; Section -- 10: Business applications: Scenario modelling and business cases; Section -- 11: More advanced HR analytic techniques; Section -- 12: Reflection on HR analytics: Usage, ethics and limitations. |
| 596 ## - |
| -- |
1 2 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Personnel management |
| General subdivision |
Statistical methods. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Personnel management |
| General subdivision |
Statistical methods. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01058842 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Edwards, Kirsten, |
| Relator term |
author. |
| 938 ## - |
| -- |
Brodart |
| -- |
BROD |
| -- |
114288542 |
| 938 ## - |
| -- |
Baker and Taylor |
| -- |
BTCP |
| -- |
BK0017992451 |
| 938 ## - |
| -- |
Coutts Information Services |
| -- |
COUT |
| -- |
32459408 |
| 938 ## - |
| -- |
YBP Library Services |
| -- |
YANK |
| -- |
12591084 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Koha item type |
Books |
| 994 ## - |
| -- |
Z0 |
| -- |
SUPMU |
| 948 ## - LOCAL PROCESSING INFORMATION (OCLC); SERIES PART DESIGNATOR (RLIN) |
| h (OCLC) |
NO HOLDINGS IN SUPMU - 39 OTHER HOLDINGS |