Artificial Intelligence and Business Transformation de María Teresa Del Val Núñez

Artificial Intelligence and Business Transformation: Contributions to Management Science

Editat de María Teresa Del Val Núñez, Alba Yela Aránega, Domingo Ribeiro-Soriano

en Limba Engleză Hardback – 2 iul 2024

După parcurgerea acestui volum, cititorul va fi capabil să fundamenteze o strategie de transformare organizațională bazată pe inteligența artificială, echilibrând eficiența tehnologică cu nevoile umane de dezvoltare. Remarcăm faptul că Artificial Intelligence and Business Transformation nu se limitează la o analiză teoretică, ci oferă un cadru pragmatic pentru regândirea dimensiunii și structurii core-business-ului în era digitală. Ca și Deepa Gupta în Digital HR, autorii distilează experiența reală în principii acționabile, punând un accent deosebit pe modul în care algoritmii pot îmbunătăți experiența angajaților, nu doar productivitatea brută.

Apreciem structura riguroasă a lucrării, care ghidează cititorul printr-o progresie logică: de la fundamentele literaturii de specialitate și impactul AI asupra sustenabilității (Partea I), până la aplicații critice în managementul operațiunilor și resurse umane (Partea II). Merită menționat că volumul abordează și aspecte adesea ignorate, precum relația dintre AI și economia circulară sau impactul robotizării asupra internaționalizării companiilor. În comparație cu Digital Transformation de Tarnveer Singh, care oferă o perspectivă generală de leadership strategic, lucrarea de față, publicată sub egida Springer, este mult mai ancorată în specificul managementului talentelor și al schimbării culturale necesare pentru a supraviețui post-pandemie. Este o resursă esențială pentru a înțelege cum noile roluri digitale redefinesc succesul organizațional.

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Specificații

ISBN-13: 9783031587030
ISBN-10: 3031587030
Pagini: 264
Ilustrații: XX, 243 p. 38 illus., 27 illus. in color.
Dimensiuni: 160 x 241 x 20 mm
Greutate: 0.57 kg
Ediția:2024
Editura: Springer
Colecția Contributions to Management Science
Seria Contributions to Management Science

Locul publicării:Cham, Switzerland

De ce să citești această carte

Această carte este indispensabilă managerilor și profesioniștilor HR care doresc să navigheze cu succes prin schimbările structurale impuse de AI. Cititorul câștigă o înțelegere clară a modului în care digitalizarea poate fi utilizată pentru a reține talentele și pentru a crea noi oportunități antreprenoriale. Este un ghid autoritar care transformă incertitudinea tehnologică într-un avantaj competitiv sustenabil.

Despre autor

Volumul este coordonat de un colectiv de experți recunoscuți în domeniul managementului. María Teresa Del Val Núñez, Alba Yela Aránega și Domingo Ribeiro-Soriano sunt cercetători cu o vastă experiență în analizarea dinamicii de business și a impactului inovației asupra structurilor organizaționale. Contribuția lor în seria Contributions to Management Science reflectă un angajament pe termen lung față de rigoarea academică aplicată în contextul provocărilor economice actuale, specializându-se în intersecția dintre tehnologie, antreprenoriat și resurse umane.

Descriere scurtă

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.

Cuprins

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.

Notă biografică

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).

Caracteristici

Provides practical advice on how to retain talent using AI Explains the application of digital methodologies to redesign a business Examines current literature on AI