Jose Ramon Saura is an Associate Professor (Tenured) of Data Analytics and Digital Marketing at the Business Economics Department of Rey Juan Carlos University (URJC), Madrid, Spain. His research has primarily focused on the theoretical and practical implications of various dimensions of user-generated data and content, with an emphasis on two pivotal research methodologies applied to business and marketing: data mining and knowledge discovery. Currently, his research interests are mainly in 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 the information sciences.

• AI, Data Economy, and Behavioral Intention: Towards ethical paths.- Challenges in Artificial Intelligence and Business: An Ethical Perspective.- The Triple Axis of AI, Ethics, and Business Economics.- Evolution and Future Perspectives in AI Ethics.- City information management and climate change policies: A boundary spanning approach.- A bibliometric overview of Digitalization in Governments: Exploring main challenges and future directions.- Bridging Governance and Practice: A Systematic Review of Artificial Intelligence Potential in Healthcare.- Exploring Ethical dimensions of AI in Tourism.- Artificial Intelligence in Social Media Marketing.- Mapping brain science research and its influence on public governance: Increasing the effectiveness of public policies through behavioural change.- Integrating AI and Digital Marketing for Inclusive Governance: Liberato Map case study.

Jose Ramon Saura is an Associate Professor (Tenured) of Data Analytics and Digital Marketing at the Business Economics Department of Rey Juan Carlos University (URJC), Madrid, Spain. His research has primarily focused on the theoretical and practical implications of various dimensions of user-generated data and content, with an emphasis on two pivotal research methodologies applied to business and marketing: data mining and knowledge discovery. Currently, his research interests are mainly in 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 the information sciences.

• AI, Data Economy, and Behavioral Intention: Towards ethical paths.- Challenges in Artificial Intelligence and Business: An Ethical Perspective.- The Triple Axis of AI, Ethics, and Business Economics.- Evolution and Future Perspectives in AI Ethics.- City information management and climate change policies: A boundary spanning approach.- A bibliometric overview of Digitalization in Governments: Exploring main challenges and future directions.- Bridging Governance and Practice: A Systematic Review of Artificial Intelligence Potential in Healthcare.- Exploring Ethical dimensions of AI in Tourism.- Artificial Intelligence in Social Media Marketing.- Mapping brain science research and its influence on public governance: Increasing the effectiveness of public policies through behavioural change.- Integrating AI and Digital Marketing for Inclusive Governance: Liberato Map case study.

Jose Ramon Saura is an Associate Professor (Tenured) of Data Analytics and Digital Marketing at the Business Economics Department of Rey Juan Carlos University (URJC), Madrid, Spain. His research has primarily focused on the theoretical and practical implications of various dimensions of user-generated data and content, with an emphasis on two pivotal research methodologies applied to business and marketing: data mining and knowledge discovery. Currently, his research interests are mainly in 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 the information sciences.

• AI, Data Economy, and Behavioral Intention: Towards ethical paths.- Challenges in Artificial Intelligence and Business: An Ethical Perspective.- The Triple Axis of AI, Ethics, and Business Economics.- Evolution and Future Perspectives in AI Ethics.- City information management and climate change policies: A boundary spanning approach.- A bibliometric overview of Digitalization in Governments: Exploring main challenges and future directions.- Bridging Governance and Practice: A Systematic Review of Artificial Intelligence Potential in Healthcare.- Exploring Ethical dimensions of AI in Tourism.- Artificial Intelligence in Social Media Marketing.- Mapping brain science research and its influence on public governance: Increasing the effectiveness of public policies through behavioural change.- Integrating AI and Digital Marketing for Inclusive Governance: Liberato Map case study.