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This book contributes to a better understanding of the impacts that artificial intelligence (AI) has on organizations and how they reinforce opportunities while simultaneously overcoming the underlying risks. The importance of artificial intelligence in business innovation lies in AI's ability to drive efficient automation, provide strategic insights through advanced data analysis and catalyse the development of personalized products and services, resulting in more effective operations and agile responses to market demands.
This book will be read by academics, researchers, managers, engineers, practitioners, and other professionals in different sectors of business and management.
Table des matières
Chapter 1. Dave's decision: what would you do?.- Chapter 2. Language and Culture: Imperative Strategic Assets for Organizations in the AI Era.- Chapter 3. Roadmap for aligning AI in production systems to the organizational culture.- Chapter 4. Artificial intelligence (AI), labor relations & human resource management.- Chapter 5. Harmony in the Workplace: Human- Robot Collaboration and Tuning Employees Perceptions Through HRM Practices.- Chapter 6. AI in Finance: Applications and Challenges.- Chapter 7. AI Revolutionizing Marketing: Applications and Other Considerations.- Chapter 8. From theory to practice: How Generative Artificial Intelligence is revolutionizing Digital Marketing.- Chapter 9. Artificial Intelligence (AI) in Marketing and Firm Competitiveness.- Chapter 10. AI-Driven Integrated Marketing Communications (IMC): Exploring the Role of AI in Planning, Executing, and Evaluating IMC.- Chapter 11. Unlocking Potential: How the Digital Age is Shaping Tomorrow s Human Resource Management.
A propos de l'auteur
Carolina Machado received her Ph.D. degree in Management Sciences (Organizational and Politics Management area / Human Resources Management) from the University of Minho in 1999, Master degree in Management (Strategic Human Resource Management) from Technical University of Lisbon in 1994 and Degree in Business Administration from University of Minho in 1989. She is Head of the Human Resources Management Work Group at the School of Economics and Management at University of Minho, Coordinator of Advanced Training Courses at the Interdisciplinary Centre of Social Sciences, Member of the Interdisciplinary Centre of Social Sciences (CICS.NOVA.UMinho), University of Minho, as well as Chief Editor of the International Journal of Applied Management Sciences and Engineering (IJAMSE), Guest Editor of journals, books Editor and book Series Editor, as well as reviewer in different international prestigious journals.
J. Paulo Davim is Full Professor at the University of Aveiro, Portugal. He is also distinguished as Honorary Professor in several niversities/colleges/institutes in China, India and Spain. He is also Eur Ing by FEANI-Brussels and Fellow (FIET) of IET. He has more than 30 years of teaching and research experience in manufacturing, materials, mechanical and industrial engineering, with special emphasis in machining and tribology. He has also interest in management, engineering education and higher education for sustainability. He has guided large numbers of postdoc, Ph.D. and master’s students as well as has coordinated and participated in several financed research projects. He has received several scientific awards and honours. He is Editor-in-Chief of several international journals, Guest Editor of journals, books Editor, book Series Editor and Scientific Advisory for many international journals and conferences.
Résumé
This book contributes to a better understanding of the impacts that artificial intelligence (AI) has on organizations and how they reinforce opportunities while simultaneously overcoming the underlying risks. The importance of artificial intelligence in business innovation lies in AI's ability to drive efficient automation, provide strategic insights through advanced data analysis and catalyse the development of personalized products and services, resulting in more effective operations and agile responses to market demands.
This book will be read by academics, researchers, managers, engineers, practitioners, and other professionals in different sectors of business and management.
