Epistemology and Methodology of Research in AI Age

Epistemology and Methodology of Research in the AI Age maps how artificial intelligence (AI), digital platforms, and big data reshape the foundations of social science and management research. It connects epistemology and research design to the practical choices researchers now face, from defining questions in data-rich environments to handling algorithmic bias and ethical risk. Written for doctoral students, early-career researchers, and methods instructors, this volume supports dissertation work and methods teaching across sociology, psychology, education, economics, and information science. It also anchors the wider series by setting a shared conceptual and ethical baseline for the volumes that follow.

-ukasz Su-kowski is a professor of economic sciences and humanities specializing in higher education management, social science methodology, HRM, and organizational culture, and serves as President of WSB University. Zdzis-awa Dacko-Pikiewicz is the Rector of WSB University and holds a habilitation in management and quality sciences, her research spans reputation management, innovation, family business, competence development, and sustainability, with particular relevance to debates on organisational resilience, competitiveness, and knowledge transfer. Katarzyna Szczepäska-Woszczyna holds a postdoctoral degree in economic sciences and is a Vice-Rector for Research and Education at WSB University, specializing in management and quality sciences, with a focus on HRM, innovation, knowledge transfer, and sustainability

Introduction, 1. Research Paradigms and Philosophical Foundations, 2. Research Design and Planning in Digital Age, 3. Formulating Questions and Hypotheses, 4. Literature Reviews in the Digital Age, 5. Concluding Reflections, 6. References