Quantifying Influence

Abstract

The chapter titled “Quantifying Influence: A Bibliometric Analysis of Robo-Advisors in Management” systematically examines the scholarly landscape surrounding the integration of Robo-advisors in management. Employing bibliometric methods, this chapter undertakes a rigorous quantitative assessment of the literature to identify critical trends, influential authors, and emerging research themes within the dynamic realm of Robo-advisory systems. The analysis encompasses a comprehensive review of academic publications, citation patterns, and collaborative networks, offering insights into the evolution of knowledge and the interconnectedness of ideas in the intersection of Robo-advisors and management. By mapping the intellectual structure of the field, the chapter aims to enhance our understanding of the most impactful contributions, shaping the direction of research and guiding future inquiries. Furthermore, the abstract highlights critical focus areas, such as identifying seminal works, evolving research frontiers, and potential gaps in the literature.