Data-Driven Governance Through AI, Digital Marketing, and the Privacy Interplay (Advances in Marketing, Customer Relationship Management, and E-Services) - Softcover

Softcover

ISBN 13: 9798369369463

Publisher: Business Science Reference, 2024

Synopsis

The integration of artificial intelligence (AI) and digital marketing in governance has the potential to transform how governments engage with citizens, enhance transparency, and improve decision-making processes. However, these advancements also raise critical questions about privacy, ethics, and the safeguarding of individual freedoms in a data-driven world. Striking a balance between leveraging data for societal benefits and protecting personal rights is a pressing challenge. Understanding this dynamic is essential for fostering trust, crafting effective policies, and ensuring that technological progress aligns with core democratic principles. Data-Driven Governance Through AI, Digital Marketing, and the Privacy Interplay provides a comprehensive overview of how data-driven strategies can coexist with fundamental privacy principles to foster an environment of trust and effective governance. It bridges the gap between technological potential and ethical governance. Covering topics such as behavioral governance, digital transformation, and surveillance economy, this book is an excellent resource for policymakers, government officials, technology professionals, industry leaders, legal experts, academicians, and more.

About this title

About the Author

Jose Ramon Saura , Vice-Dean of Research, Internationalization and Prof. Partnership in the Faculty of Business Economics (FCEE) at Rey Juan Carlos University, is an Associated Professor (Tenured) of Data Analytics and Digital Marketing in the Business Economics Department at Rey Juan Carlos University (URJC), Madrid (Spain). Earlier in his career, he held positions and provided consultancy services to several prominent companies, including Google, L'Oréal, Deloitte, Telefónica, and MRM//McCann, among others. He obtained his international Ph.D. in Digital Marketing from URJC, conducting research at both London South Bank University (LSBU) and RCC at Harvard University. He has taught and undertaken research stays at over 28 universities worldwide. Notable affiliations include the Leiden Institute of Advanced Computer Science and the Institute of Public Administration at the University of Leiden, Harvard University, or the School of Economics and Management at the University of Porto. Jose Ramon Saura has served as a research evaluator for national funding and projects on behalf of the following institutions: Government of Italy, Ministry of University and Research (Rome, Italy); Government of Poland, National Science Center of Poland (Warsaw, Poland); National Research Council of the Netherlands, Dutch Research Council (The Hague, The Netherlands); Technology Agency of the Czech Republic (Prague, Czech Republic) and the Linz Institute of Technology (Linz, Austria). His research has primarily centered on the theoretical and practical implications of various dimensions of user-generated data and content. He has emphasized three pivotal research methodologies applied to business and marketing: data mining and knowledge discovery. Currently, his research interests have evolved to encompass data-driven decision-making, online privacy, online behavior and surveillance capitalism. His contributions have been published in premier international journals in the fields of business, management, economics, marketing, and information sciences, such as: Journal of Innovation and Knowledge, International Journal of Production Economics, Government Information Quarterly, Industrial Marketing Management, Technovation, International Journal of Information Management, Technological Forecasting and Social Change, Journal of Business Research, International Journal of Entrepreneurial Behaviour & Research, Inter. Entrepreneurship and Management or the Journal Review of Managerial Sciences, among others.

Edition details

• Publisher: Business Science Reference
• Publication date: 2024
• Language: English
• ISBN 13: 9798369369463
• Binding: Paperback
• Number of pages: 416
• Editor: Saura José Ramón