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| 010 | _a 2022931121 | ||
| 015 |
_aGBC214670 _2bnb |
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| 016 | 7 |
_a020472623 _2Uk |
|
| 020 | _a9781839107528 | ||
| 035 | _a(OCoLC)on1295130609 | ||
| 040 |
_aUKMGB _beng _cUKMGB _erda _dOCLCO _dOCLCF _dBDX _dMNG _dUKMGB _dDLC |
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| 042 | _alccopycat | ||
| 050 | 0 | 0 |
_aHF5549.5 .D37 _bS921 2022 |
| 082 | 0 | 4 |
_a658.30028563 _223 |
| 100 | _aStrohmeier, Stefan. | ||
| 245 | 0 | 0 |
_aHandbook of Research on Artificial Intelligence in Human Resource Management / _cedited by Stefan Strohmeier. |
| 260 |
_aUK & USA: _bEdward Elgar, _c2022. |
||
| 300 |
_axii, 403 pages ; _c25 cm |
||
| 521 | _aThis 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."-- | ||
| 650 | 0 |
_aPersonnel management _xData processing. |
|
| 650 | 0 |
_aArtificial intelligence _xIndustrial applications. |
|
| 650 | 0 |
_aPersonnel management _xTechnological innovations. |
|
| 650 | 6 |
_aPersonnel _xDirection _xInformatique. |
|
| 650 | 6 |
_aIntelligence artificielle _xApplications industrielles. |
|
| 650 | 6 |
_aPersonnel _xDirection _xInnovations. |
|
| 650 | 7 |
_aArtificial intelligence _xIndustrial applications. _2fast |
|
| 650 | 7 |
_aPersonnel management _xData processing. _2fast |
|
| 650 | 7 |
_aPersonnel management _xTechnological innovations. _2fast |
|
| 700 | 1 |
_aStrohmeier, Stefan, _eeditor. |
|
| 776 | 0 | 8 |
_iebook version : _z9781839107535 |
| 906 |
_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBK |
||
| 999 |
_c5623 _d5623 |
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