Gebundenes Buch

Knowledge Management and Artificial Intelligence for Growth

Cases from Emerging and Developed Economies

Herausgegeben: Bianchi, Isaias; Dávila, Guillermo Antonio

Beschreibung

This book delves into the intersection of Knowledge Management (KM) and Artificial Intelligence (AI). It explores their applications, challenges, and opportunities across various industries and regions. The approach is comprehensive, drawing insights from experts worldwide.

The book offers fresh perspectives on using KM and AI as powerful tools for driving business success. It covers research opportunities, real-world case studies, and empirical investigations. Notably, it emphasizes the unique context of knowledge management in the southern hemisphere.

The book spans a broad range of subjects, including knowledge absorption capacity as an internationalization driver, quality certification methods in the health sector, and the role of intellectual capital in Argentine tech companies. It also delves into machine learning techniques for property price estimation in Brazil and identity document verification in Peru.

Professionals, scholars, and policymakers navigating the complex integration of KM and AI will find this book invaluable. By combining theoretical foundations with practical findings, it equips readers with the knowledge and tools needed for sustainable growth within their organizations.

Autor

Isaías Scalabrin Bianchi holds a Ph.D. in Technology and Systems Information from the University of Minho, Portugal. He also served as a visiting researcher at the University of Twente in the Netherlands. He is a civil servant at the Federal University of Santa Catarina, where he has held various management roles since 2010. Additionally, he teaches in the Master's Program in Management at the same university. His research interests include IT governance, Information Technology Business Process Management, Business and Artificial Intelligence, and Digital Transformation and Innovation, with a particular focus on public organizations and higher education institutions. His research has been published in prestigious IS conferences and international journals. Since 2020, Isaías has been working as a visiting professor at Al-Farabi Kazakh National University, where he teaches and supervises Ph.D. students in the areas of digital transformation, artificial intelligence, digital marketing, and supply chain management. He also serves as a research leader on projects funded by the Minister of Education of Kazakhstan. Additionally, he co-supervises master's students at the University of Minho and the Instituto Universitário de Lisboa in Portugal. Isaías has earned the Moodle Educator Competence through the Moodle Educator Certification Program. Furthermore, he contributes as one of the editors for books published by Springer and serves as a guest editor for several indexed journals.   Guillermo Antonio Dávila holds a Ph.D. in Knowledge Engineering and Management from the Federal University of Santa Catarina, Brazil. He is an associate professor in the Faculty of Engineering and a researcher at the Scientific Research Institute, both at the University of Lima, Peru. His research focuses on knowledge management, innovation management, and technology management, with a special focus on emerging contexts. Additionally, he has served as a visiting professor at the Private Technical University of Loja-UTPL and at the Federal University of Santa Catarina-UFSC, where he supervises postgraduate students. Outside academia, he has accumulated over a decade of experience in industries including insurance, banking, FDI, and IT. His scholarly contributions have been published in leading journals, and two of his papers have been awarded at the IFKAD conference in 2017 and 2019.

Produktdetails

• Information Systems Engineering and Management 8
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-65551-7
• 2024
• Seitenzahl: 252
• Erscheinungstermin: 21. September 2024
• Englisch
• Abmessung: 241mm x 160mm x 20mm
• Gewicht: 491g
• ISBN-13: 9783031655517
• ISBN-10: 3031655516
• Artikelnr.: 70920049