Leading with AI and Data Analytics

Shaping Governance, Innovation, and Education in the Digital Age
Erscheinungsjahr 2027
ISBN: 978-3-032-39855-0
Verlag: Springer

Buch, Englisch, 438 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Information Systems and Organisation

This book presents the best research from the LMDE 2025 International Conference, held in Athens and Syros, Greece. The contributed chapters explore how artificial intelligence and data analytics are transforming leadership and governance, operations, strategy, and education across sectors. Organized into four thematic parts—governance and AI, operational efficiency, strategic innovation, and business education—the book offers insights into responsible AI adoption, data-driven decision-making, and the evolving skillsets required in today’s digital landscape. Contributions from global scholars and practitioners highlight emerging trends, ethical considerations, and practical applications, making this an appropriate resource for researchers of digital technologies in management settings.

Zielgruppe

Research

Autoren/Hrsg.

Prastacos, Gregory

Ntzoufras, Ioannis

Karlis, Dimitris

Mamakou, Xenia

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

One ring to rule them all? The AI Act and the EU’s Quest for Leadership in Artificial Intelligence.- Deploying AI in the Parliamentary Governance System of the Hellenic Republic.- Data-Driven Insights on Human Security Integration in EU Green Deal Policies.- Intellectual Property and AI-Generated Works: Legal and Economic Challenges.- Algorithms, Transparency, and Public Interest: Regulating Social Media in the Age of AI.- Asymmetric effects of service attributes on traveller satisfaction with semi supervised topic modelling.- Explaining Consumer Adoption of Artificial Intelligence in Everyday Life Tracking data in sports.- The AI Driven Revolution in Higher Education: From Generic Classrooms to Hyper Personalized Learning.- AI at the Crossroads of Sustainability and Circular Economy Transformation: Challenges and Opportunities for Management Research in the Digital Era.- A Competency-Based Approach to Redesigning Management Education for the GenAI Era: Insights from the MaCuDE Project.- Generative AI Conversational Agents in Business Education: A Systematic Review of Role-Playing Simulations and Co-Teaching Strategies.

Über Autor(innen)

Gregory P. Prastacos is Professor of Management Science at the Stevens School of Business, where he served as Dean from 2012 to 2024. He was previously on the faculty of the Athens University of Economics and Business, where he served as Rector (2007-2011), and of the Wharton School of the University of Pennsylvania. His research focuses on analytics, innovation, and digital transformation and has been published in Management Science, Operations Research, Journal of Management, Journal of Business Ethics, Information & Management, Public Administration, Human Resources Management Journal, and more. His publications include the edited books Leadership through the Classics (Springer, 2013) and Leading and Managing in the Digital Era (Springer, 2024). He is Principal Investigator of MaCuDE (www.macude.org), a global research initiative involving more than 100 Business Schools to revise the management curriculum for the digital era, and serves on the editorial boards of several academic journals. Prof. Prastacos is an Elected Fellow of the Washington Academy of Sciences, a recipient of INFORMS’ Edelman Award, and a member of the National Commission on Higher Education of Greece. 

Ioannis Ntzoufras is Professor of Statistics at the Athens University of Economics and Business. His research interests include Bayesian and computational statistics, categorical data analysis, statistical modeling, model and variable selection methodologies, including applications in medical research, psychometrics, and sports analytics. He is author of 72 peer-reviewed journal articles and currently serves as Associate Editor for the Journal of Quantitative Analysis in Sports. He has previously served as Associate Editor for the Journal of the Royal Statistical Society, Series C: Applied Statistics and Guest Editor for a special issue of the IMA Journal of Management Mathematics entitled "Mathematics Meets Sports."

Dimitris Karlis is Professor of Statistics at the Athens University of Economics and Business. He has published more than 115 papers in peer-reviewed statistical journals, specifically in the fields of mixture models, computational statistics and especially stochastic algorithms, multivariate count data analysis, models for statistical analysis for sports data and modeling dependent data via copulas, statistical models for real estate among others. He has been Editor-in-chief of the Journal of Quantitative Analysis in Sports and Associate Editor of Metron Journal, Communications in Statistics, IMA Journal of Management Mathematics, and Stochastic Environmental Research and Risk Assessment. Prof. Karlis is member of the American Statistical Association, the International Statistical Institute, the International Association of Statistical Computing, and the Greek Statistical Institute. He has also been President of the Eastern Mediterranean Region of the International Biometrics Society. 

Xenia J. Mamakou is a faculty member at the Athens University of Economics and Business (AUEB), with extensive experience in teaching undergraduate and postgraduate courses in business informatics, decision-making, and information systems. She has participated in various research projects and her research interests focus primarily on business analytics, digital technologies, information systems, digital transformation, and project management. Dr. Mamakou has published more than 30 articles in peer-reviewed scientific journals and international conference proceedings, including publications in journals such as Journal of Business Research, Information Systems Management, and Journal of Systems and Software. She has also received teaching and best paper awards in recognition of her academic work. In addition, she is the author of an academic textbook on data analysis using Microsoft Excel, published by AUEB.