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220624 ||| eng |
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|a 9781839107535
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| 050 |
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|a HF5549.5.T33
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| 100 |
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|a Strohmeier, Stefan
|e [editor]
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| 245 |
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|a Handbook of research on artificial intelligence in human resource management
|h Elektronische Ressource
|c edited by Stefan Strohmeier (Professor of Management Information Systems, Chair of Management Information Systems, Saarland University, Germany)
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| 260 |
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|a Northampton
|b Edward Elgar Publishing
|c 2022, 2022
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| 300 |
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|a 416 pages
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|a 17. Accountability of artificial intelligence in human resources / Katharina A. Zweig and Franziska Raudonat -- 18. Legitimacy of artificial intelligence in human resources - the legal framework for using artificial intelligence in human resource management / Kai von Lewinski and Raphael de Barros Fritz -- Part IV: Research issues of artificial intelligence in human resources -- 19. Design considerations for conducting artificial intelligence research in human resource management / Richard D. Johnson and Dianna L. Stone -- 20. Employing artificial intelligence in human resources research / Chulin Chen and Richard Landers -- Index
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| 505 |
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|a Contents: Preface -- 1. Artificial intelligence in human resources - an Introduction / Stefan Strohmeier -- Part I: Applications of artificial intelligence in human resources -- Part I.1 applications of machine learning in human resources -- 2. Hr machine learning - an Introduction / Stefan Strohmeier -- 3. Hr machine learning on text data / Felix Gross -- 4. Hr machine learning on audio and video data / Carmen Fernández-Martinez and Alberto Fernández -- 5. Hr machine learning on social media data / Jake T. Harrison and Christopher J. Hartwell -- 6. Hr machine learning in recruiting / Sven Laumer, Christian Maier, and Tim Weitzel -- 7. Machine learning in hr staffing / Florian J. Meier and Sven Laumer -- 8. Machine learning in personnel selection / Cornelius J. König and Markus Langer -- Part I.2 further applications of artificial intelligence in human resources -- 9. Hr knowledge representation and reasoning / Jorge Martinez-Gil --
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|a 10. Hr robotic process automation / Peter Fettke and Stefan Strohmeier -- 11. Hr evolutionary computing / Lena Wolbeck and Charlotte Köhler -- 12. Hr natural language processing - conceptual overview and state of the art on conversational agents in human resources management / Sven Laumer and Stefan Morana -- 13. Hr affective computing / William J. Becker, Sarah E. Tuskey, and Constant D. Beugré -- Part II: Consequences of artificial intelligence in human resources -- 14. Consequences of artificial intelligence in human resource management / Maarten Renkema -- Part III: Normative issues of artificial intelligence in human resources -- 15. Explainability of artificial intelligence in human resources / Markus Langer and Cornelius J. König -- 16. Fairness of artificial intelligence in human resources - held to a higher standard? / Sandra L. Fisher and Garret N. Howardson --
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| 653 |
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|a Personnel management / Technological innovations
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| 653 |
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|a Artificial intelligence
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-1-EEM
|a Edward Elgar eBooks Collection Business & Economics
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| 856 |
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|u https://www.elgaronline.com/view/edcoll/9781839107528/9781839107528.xml
|x Verlag
|3 Volltext
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|a 380
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| 520 |
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|a "This cutting-edge Handbook offers a comprehensive introduction to the emerging research field of artificial intelligence (AI) in human resource management (HRM). Broadly mapping AI fields relevant for HR, it not only considers the more well-known areas of machine learning and natural language processing, but also lesser-known fields such as affective computing and robotic process automation. Expert contributors analyze the applications of machine learning in human resources, including machine learning on text data, audio and video data, social media data, and in recruiting and staffing. They also explore a range of innovative topics such as knowledge representation and reasoning, and evolutionary computing. Discussing the explainability, fairness, accountability, and legitimacy of AI in HR, chapters bring normative issues to the fore. Approaches to researching AI in HR and to employing AI in HR research are also tackled. Offering an insight into existing research on artificial intelligence in human resources, the Handbook introduces core issues and considers implications for future research. This Handbook will be critical reading for scholars and students of human resource management, knowledge management, organizational innovation, computer science, and information systems. It will also be beneficial for practitioners in these fields"--
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