Handbook of Research on Artificial Intelligence in Human Resource Management /
Strohmeier, Stefan.
Handbook of Research on Artificial Intelligence in Human Resource Management / edited by Stefan Strohmeier. - UK & USA: Edward Elgar, 2022. - xii, 403 pages ; 25 cm
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."--
9781839107528
2022931121
GBC214670 bnb
020472623 Uk
Personnel management--Data processing.
Artificial intelligence--Industrial applications.
Personnel management--Technological innovations.
Personnel--Direction--Informatique.
Intelligence artificielle--Applications industrielles.
Personnel--Direction--Innovations.
Artificial intelligence--Industrial applications.
Personnel management--Data processing.
Personnel management--Technological innovations.
HF5549.5 .D37 / S921 2022
658.30028563
Handbook of Research on Artificial Intelligence in Human Resource Management / edited by Stefan Strohmeier. - UK & USA: Edward Elgar, 2022. - xii, 403 pages ; 25 cm
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."--
9781839107528
2022931121
GBC214670 bnb
020472623 Uk
Personnel management--Data processing.
Artificial intelligence--Industrial applications.
Personnel management--Technological innovations.
Personnel--Direction--Informatique.
Intelligence artificielle--Applications industrielles.
Personnel--Direction--Innovations.
Artificial intelligence--Industrial applications.
Personnel management--Data processing.
Personnel management--Technological innovations.
HF5549.5 .D37 / S921 2022
658.30028563