Handbook of Financial Services Performance: Analytical and Empirical Perspectives

This book examines how emerging technologies are reshaping performance measurement in financial services. It delivers an integrated and authoritative treatment of the subject, encompassing conceptual foundations, methodological innovations, empirical evidence, and bibliometric analyses. Special attention is given to the transformative role of AI, Machine Learning, and Big Data in improving predictive accuracy, operational benchmarking, and strategic decision-making. Unlike conventional performance analysis, this book focuses on the unique structural and operational complexities of financial service firms where inputs and outputs often overlap, are intangible, and resist traditional quantification. The contributors bring deep expertise and diverse regional perspectives, positioning this volume as a benchmark in global financial services research. With its extensive literature reviews and curated citations, the book is an indispensable reference for academics, policymakers, and industry analysts seeking to navigate the evolving landscape of performance measurement in the digital era.