The book has three objectives: to provide a new perspective on the changing academic organization and management; to reflect on... Læs mere
Philosophy and Leadership is an ambitious exploration of leadership's philosophical underpinnings from antiquity to the AI-driven future. The book journeys through history, gleaning insights from eminent philosophers and contextualizing their teachings to leadership.
The book has three objectives: to provide a new perspective on the changing academic organization and management; to reflect on... Læs mere
Paradigm Shifts in Management Theory is an illuminating exploration of the evolving landscape of management science. This book goes beyond the surface, delving into profound insights and perspectives that redefine traditional paradigms.
With classical and modern philosophical thought as its backbone, Philosophy and Management: Great Minds and Organizational Ideas... Læs mere
Philosophy and Leadership is an ambitious exploration of leadership's philosophical underpinnings from antiquity to the AI-driven future. The book journeys through history, gleaning insights from eminent philosophers and contextualizing their teachings to leadership.
Academic Writing, Visualization, Presentation, and Publishing of Research is a comprehensive guide to scholarly communication in a... Læs mere
Academic Writing, Visualization, Presentation, and Publishing of Research is a comprehensive guide to scholarly communication in a... Læs mere
This book explains how artificial intelligence is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building.... Læs mere
This book explains how artificial intelligence is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building.... Læs mere
Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility.
Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility.