Handbook of Research on Artificial Intelligence in Human Resource Management

Buch | Hardcover

416 Seiten

2022
Edward Elgar Publishing Ltd (Verlag)
978-1-83910-752-8 (ISBN)

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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.

Edited by Stefan Strohmeier, Professor of Management Information Systems, Chair of Management Information Systems, Saarland University, Germany

Contents:

Preface xii
1 Artificial intelligence in human resources – an introduction 1
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 25
Stefan Strohmeier
3 HR machine learning on text data 46
Felix Gross
4 HR machine learning on audio and video data 68
Carmen Fernández-Martinez and Alberto Fernández
5 HR machine learning on social media data 89
Jake T. Harrison and Christopher J. Hartwell
6 HR machine learning in recruiting 105
Sven Laumer, Christian Maier, and Tim Weitzel
7 Machine learning in HR staffing 127
Florian J. Meier and Sven Laumer
8 Machine learning in personnel selection 149
Cornelius J. König and Markus Langer

PART I.2 FURTHER APPLICATIONS OF ARTIFICIAL
INTELLIGENCE IN HUMAN RESOURCES
9 HR knowledge representation and reasoning 169
Jorge Martinez-Gil
10 HR robotic process automation 187
Peter Fettke and Stefan Strohmeier
11 HR evolutionary computing 207
Lena Wolbeck and Charlotte Köhler
12 HR natural language processing – conceptual overview and state of the
art on conversational agents in human resources management 226
Sven Laumer and Stefan Morana
13 HR affective computing 243
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 261
Maarten Renkema

PART III NORMATIVE ISSUES OF ARTIFICIAL INTELLIGENCE IN
HUMAN RESOURCES
15 Explainability of artificial intelligence in human resources 285
Markus Langer and Cornelius J. König
16 Fairness of artificial intelligence in human resources – held to a higher
standard? 303
Sandra L. Fisher and Garret N. Howardson
17 Accountability of artificial intelligence in human resources 323
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 337
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 353
Richard D. Johnson and Dianna L. Stone
20 Employing artificial intelligence in human resources research 371
Chulin Chen and Richard Landers

Index 392

Erscheinungsdatum	18.03.2022
Verlagsort	Cheltenham
Sprache	englisch
Maße	169 x 244 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Wirtschaft ► Betriebswirtschaft / Management ► Personalwesen
ISBN-10	1-83910-752-9 / 1839107529
ISBN-13	978-1-83910-752-8 / 9781839107528
Zustand	Neuware