Mapping Performance Analysis of Financial Services: Systematic Insights and Perspectives

The financial services industry has undergone transformative changes over recent decades, driven by advancements in technology, evolving regulations, and shifts in how financial products and services are produced and consumed. These developments have made performance measurements in financial services increasingly complex, requiring more comprehensive, transparent, and data-driven approaches. This book chapter addresses the growing interest in performance analysis by identifying and mapping significant research themes in the field from the first published article in 1982 to today. Using a multi-technique bibliometric analysis of 826 articles extracted from the Scopus database, followed by a systematic review adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, the study explores key themes, including parametric and non-parametric measurement models, firm performance, risk assessment, sustainability, and digital innovation. The findings are visualized through co-authorship networks, bibliographic coupling, and keyword co-occurrence maps, revealing interconnected themes and under-researched areas such as artificial intelligence, machine learning, blockchain, and branding. As one of the first comprehensive bibliometric studies on this topic, this chapter provides researchers and practitioners with a synthesized overview of the field and highlights promising directions for future research in performance analysis within financial services.