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Augmenting Human Resource Management with Artificial Intelligence (Record no. 65998)

MARC details
000 -LEADER
fixed length control field 04155nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-031-75266-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030114637.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241224s2024 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031752667
-- 978-3-031-75266-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-75266-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HF5549-5549.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMV2
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS030000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMV2
Source thema
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tursunbayeva, Aizhan.
Relator term author.
Authority record control number (orcid)0000-0002-4481-9566
-- https://orcid.org/0000-0002-4481-9566
Relator code aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 89495
245 10 - TITLE STATEMENT
Title Augmenting Human Resource Management with Artificial Intelligence
Medium [electronic resource] :
Remainder of title Towards an Inclusive, Sustainable, and Responsible Future /
Statement of responsibility, etc. by Aizhan Tursunbayeva.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer Nature Switzerland :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent XXXIII, 151 p. 9 illus., 7 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Contributions to Management Science,
International Standard Serial Number 2197-716X
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Artificial Intelligence and HRM -- 2. Contemporary HRM: Evolution, Trends, and Factors of Influence -- 3. Navigating AI: Implications for the World of Work and HRM -- 4. Leaving (operational) HRM to AI -- 5. AI Applications to Assist with Relational AI -- 6. Augmenting HRM with AI: From Diversity and Inclusion, and Sustainability to Neurotechnologies -- 7. AI for HRM: Organizational enlightenment or an ethical minefield? -- 8. A multi-level Responsible AI approach to tackling AI Challenges -- 9. AI adoption and Change Management -- 10. AI and the Future of HRM Work -- A final reflection.
520 ## - SUMMARY, ETC.
Summary, etc. The potential of Artificial Intelligence (AI) to reshape Human Resource Management (HRM) practices is profound, but it also presents challenges that require careful consideration, particularly in terms of ethics, inclusivity, and sustainability. However, knowledge about whether and how this transformation is actually occurring remains limited. This book aims to provide a theoretically informed and empirically grounded examination of AI's role in shaping the future of HRM and work. The book explores HRM technologies using a configurational approach, which views HRM practices as a blend of operational, relational, and transformational elements. It consistently addresses the dual perspectives on AI—its transformative potential and the concerns surrounding its disruptive impact on the future of work and management. In doing so, the book draws on ongoing original research, including an analysis of vendors' value propositions and insights from scholars and experts. Real-life applications of AI in HRM are also thoroughly covered, offering insights into algorithmic management, AI-driven relational HRM configurations, and AI-augmented HRM. The book dedicates significant attention to the ethical implications of AI and how they can be addressed through Responsible AI principles. Ultimately, it establishes a framework for future research and practice, serving as a crucial reference for scholars, practitioners, and policymakers.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 57459
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58372
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 66590
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58372
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031752650
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031752674
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783031752681
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Contributions to Management Science,
International Standard Serial Number 2197-716X
9 (RLIN) 69223
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-3-031-75266-7">https://doi.org/10.1007/978-3-031-75266-7</a>
912 ## -
-- ZDB-2-BUM
912 ## -
-- ZDB-2-SXBM

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