語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Augmenting human resource management...
~
Tursunbayeva, Aizhan.
FindBook
Google Book
Amazon
博客來
Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Augmenting human resource management with artificial intelligence/ by Aizhan Tursunbayeva.
其他題名:
towards an inclusive, sustainable, and responsible future /
作者:
Tursunbayeva, Aizhan.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xxxiii, 151 p. :ill. (chiefly color), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Personnel management - Technological innovations. -
電子資源:
https://doi.org/10.1007/978-3-031-75266-7
ISBN:
9783031752667
Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
Tursunbayeva, Aizhan.
Augmenting human resource management with artificial intelligence
towards an inclusive, sustainable, and responsible future /[electronic resource] :by Aizhan Tursunbayeva. - Cham :Springer Nature Switzerland :2024. - xxxiii, 151 p. :ill. (chiefly color), digital ;24 cm. - Contributions to management science,2197-716X. - Contributions to management science..
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.
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.
ISBN: 9783031752667
Standard No.: 10.1007/978-3-031-75266-7doiSubjects--Topical Terms:
571179
Personnel management
--Technological innovations.
LC Class. No.: HF5549
Dewey Class. No.: 658.30028563
Augmenting human resource management with artificial intelligence = towards an inclusive, sustainable, and responsible future /
LDR
:03173nmm a2200337 a 4500
001
2388800
003
DE-He213
005
20241224115246.0
006
m d
007
cr nn 008maaau
008
250916s2024 sz s 0 eng d
020
$a
9783031752667
$q
(electronic bk.)
020
$a
9783031752650
$q
(paper)
024
7
$a
10.1007/978-3-031-75266-7
$2
doi
035
$a
978-3-031-75266-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HF5549
072
7
$a
KJMV2
$2
bicssc
072
7
$a
BUS030000
$2
bisacsh
072
7
$a
KJMV2
$2
thema
082
0 4
$a
658.30028563
$2
23
090
$a
HF5549
$b
.T961 2024
100
1
$a
Tursunbayeva, Aizhan.
$3
3754105
245
1 0
$a
Augmenting human resource management with artificial intelligence
$h
[electronic resource] :
$b
towards an inclusive, sustainable, and responsible future /
$c
by Aizhan Tursunbayeva.
260
$a
Cham :
$b
Springer Nature Switzerland :
$b
Imprint: Springer,
$c
2024.
300
$a
xxxiii, 151 p. :
$b
ill. (chiefly color), digital ;
$c
24 cm.
490
1
$a
Contributions to management science,
$x
2197-716X
505
0
$a
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
$a
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
$a
Personnel management
$x
Technological innovations.
$3
571179
650
0
$a
Artificial intelligence.
$3
516317
650
1 4
$a
Human Resource Management.
$3
1532599
650
2 4
$a
IT in Business.
$3
2114922
650
2 4
$a
Business Ethics.
$3
2162315
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Contributions to management science.
$3
1565352
856
4 0
$u
https://doi.org/10.1007/978-3-031-75266-7
950
$a
Business and Management (SpringerNature-41169)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9499564
電子資源
11.線上閱覽_V
電子書
EB HF5549
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入