Artificial Intelligence and Business Transformation

Impact in HR Management, Innovation and Technology Challenges
2024
ISBN: 978-3-031-58703-0
Verlag: Springer Nature Switzerland

Buch, Englisch, 243 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 565 g

Reihe: Contributions to Management Science

This book offers a current perspective on Artificial Intelligence in the context of an ever-changing and growing technological revolution in business management. It analyses how existing companies are adapting, new ones are emerging, and others are disappearing. Process re-engineering has made it possible to reshape organizational structures and create new departments and positions, all geared towards digitalization. The emergence of new business functions has led to new strategic thinking on e.g. companies’ structure, size, and core business – but also to the creation of new jobs, the need to cover digital skills, and the need for innovative team management. In short, it is a question of delving deeper into HR and the impact that digitalization has had on it, as the employee is one of the key figures to protect.

The book initially focuses on providing a review of the current literature on the advancement of Artificial Intelligence and its impact on business transformation and the emergence of new management models. In turn, it addresses the diverse perspectives that currently dominate the business market, as well as the corporate transformations that have taken place in the post-pandemic era. Lastly, it equips employers with new tools to incorporate into their organizations, facilitating talent retention. In connection with HR, this digital transformation is reflected in new roles for change management and cultural transformation, including the use of digital technologies to improve the employee experience. In brief, the book offers a practical guide to business transformation, technological advances, and their application in human resources departments.

Zielgruppe

Research

Autoren/Hrsg.

Del Val Núñez, María Teresa

Ribeiro-Soriano, Domingo

Yela Aránega, Alba

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Personalwesen, Human Resource Management
• Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation

Inhaltsverzeichnis

Part I: Business Transformation.- Chapter 1. New lines of Business Development: Artificial Intelligence in Business.- Chapter 2. Intelligent Transformations: Navigating the AI Revolution in Business and Technology.- Chapter 3. Artificial Intelligence and Circular Economy: What is New for Business Model Innovation?.- Chapter 4. Artificial Intelligence and Sustainability.- Chapter 5. Artificial Intelligence Usefulness Effect on Business Performance with Trust.- Chapter 6. Artificial Intelligence, Business Activity and Entrepreneurial Opportunities: The European case.- Chapter 7. Productivity Improvements Triggered by Robotization and Internationalization Processes: The Spanish Experience.- Part II Business Transformation.- Chapter 8. Artificial Intelligence in Operations Management: A Strategy to Make Organizations More Attractive.- Chapter 9. The Impact of Artificial Intelligence on HR practices.- Chapter 10. The Impact of Artificial Intelligence on Organizations and Managers: the Skills Needed for an Effective Leadership.- Chapter 11. Technologies and Team Management to Increase Productivity in a Digital Age.- Chapter 12. The Core Competencies of Future Leaders: Opportunities and Challenges of Artificial Intelligence for Business Schools.- Chapter 13. The Application of Artificial Intelligence in Recruitment, Training and Employee Onboarding HR Practices.- Chapter 14. The Behavioural Science of Using AI in HRM Decision-Making: When it Helps and When it Goes Wrong.

Über Autor(innen)

María Teresa del Val Núñez received a Ph.D. in Economics and Business Administration from the University of Alcalá, Spain, in 1993. She is currently a Full Professor of Business and Management at the University of Alcalá, General Director of FGUA, Alcalingua, and CRUSA. She has previously received a DAAD scholarship (1988–1990) and has worked as a collaborating researcher at the IfM Institut für Mittelstandsforschung in Bonn, Germany. She has actively participated in various EU, national, and international research projects. Her research has led her to participate in numerous national and international seminars. She is also the author of several books and articles published in national and international journals. She is an honorary member of the Alexander von Humboldt Association in Spain, and in 2014, she had the distinction of receiving a Silver Medal from the University of Alcalá.

Alba Yela Aránega is a Ph.D. in Economics and Business Management at the University of Alcalá, Spain. She is currently Business Organisation and Management Assistant Professor at the University of Alcalá. She is a reviewer of some international reviews and handling editor in International Journals in SSCI-ranked journals. She has published widely on topics such as Mindfulness for Intraentreprenurship, Labour Integration of young people, Human Resources, and Training.

Domingo Ribeiro-Soriano is a Professor of Business Administration at the Universitat de València, Spain. He is also the co-director of the “Entrepreneurship: from student to Entrepreneur” Chair. As a researcher, he has published more than 130 papers in SSCI-ranked journals. Throughout his career, he has edited and contributed to books, journals, and conferences and has delivered keynote speeches at international conferences. He has also led several EU-funded projects, and contracts with private companies. Before starting his career in academia, he worked as a consultant at EY (formerly Ernst & Young).