Behavioral finance has grown exponentially beyond classical biases into crises, digital assets, and sustainable investing, resulting in a fragmented literature that is difficult to synthesize into a narrative. This work presents a systematic bibliometric mapping of the intellectual, social and conceptual structures of the field. Based on 3,110 Q1 and Q2 articles indexed in Scopus between 2015 and 2025, we combine performance indicators with network analyses, using VOSviewer and the Bibliometrix R package. The analysis shows that there are six thematic groups: behavioral biases and decision-making, financial markets and crises, corporate governance and firm performance, digital finance and social commerce, technology and forecasting, and demographics and psychology. The international co-authorship is 76.17%, with intense collaboration in Asia, Europe, and North America. Although classical theories continue to hold a structurally central position, the field demonstrates a clear convergence with ESG investing, cryptocurrency markets, and financial behavior during the pandemic. The results reveal methodological monocultures and low cross-cluster connectivity, providing a data-driven basis for setting future research agenda priorities.
Generative Artificial Intelligence (GenAI) is reshaping labour markets and creating new challenges for higher education. This study develops an analytical framework for assessing the occupational exposure associated with university study programmes. The framework maps university qualifications to occupational profiles and applies the ILO Global Occupational Exposure Index to estimate the occupational exposure of future graduates. A database was developed by integrating information from the Romanian National Qualifications Register (RNCIS), official data on enrolment capacity, COR, ISCO-08 and occupational exposure data from the ILO Global Occupational Exposure Index. The database covers 263 Business and Economics Bachelor’s programmes and 27,690 potential graduates from Romanian public universities. The findings show that 66.9% of potential graduates are associated with occupations characterised by high exposure to Generative AI, while no study programmes are linked to occupations classified as Not Exposed, Minimal Exposure or Gradient 1. The study provides the first systematic assessment of occupational exposure associated with university study programmes through the analysis of Business and Economics Bachelor’s programmes in Romanian public universities. The proposed framework is transparent, replicable and can be applied to other ISCED fields and national higher education systems.
This paper provides a bibliometric analysis of resilience in the public finance field, covering the period from 2008 to February 2026. Using a sample of 656 papers collected from Scopus database, and following the PRISMA reporting protocol, the study employs Bibliometrix package and VOSviewer as analytical and processing tools to produce a science map of the literature. The analysis examines publication trends, leading authors, institutions, and countries, as well as the thematic evolution over time. Results reveal three distinct phases of development. The first phase (2008-2019) was primarily focused on the theoretical conceptualization of the concept, with the financial vulnerability and the regional urban economic resilience. The second phase (2019-2022) was dominated by research on the COVID-19 shock and its effects on public finance resilience, alongside the emergence of governance as a central theme. The third and recent phase (2023-2026) notes the emergence of new themes, including digital finance, risk management, and artificial intelligence, reflecting a broader and more interdisciplinary analysis of public finance resilience. The study identifies key research gaps, including the geographical concentration of contributions and collaborations, the absence of anticipatory analysis and preventive dimensions of resilience, and the limited cross-country comparative work between highly and low-resilience contexts.
The continuous transformation of higher education, shaped by internationalization, digitalization, labor market dynamics, and increasing institutional competitiveness, has intensified the need for strategic adaptation within universities. The purpose of this study is to identify the dominant strategic priorities for the development of Romanian universities based on the recommendations formulated by specialists from the national higher education system between 2014 and 2025. The research focuses on two main questions: which strategic themes were considered the most relevant over time and how these priorities varied across the main development regions of Romania. A text mining approach was applied using Orange Data Mining on a final corpus of 944 validated responses, while topic modeling was performed through the Negative Matrix Factorization algorithm to identify the dominant thematic structures. The analysis was further supported by temporal and territorial comparisons of the extracted themes. The results revealed ten major strategic topics, among which internationalization, interdisciplinary projects, partnerships between universities, teaching quality, and academic staff development emerged as the most prominent directions. Important variations were also identified across years and development regions, reflecting the influence of institutional and socio-economic contexts on university development priorities. The findings provide useful implications for university managers and decision-makers by supporting the design of development strategies adapted to both institutional needs and regional specificities.
Sustainable finance has become a central mechanism for aligning financial systems with sustainable development objectives by integrating environmental, social, and governance (ESG) considerations into financial decision-making. Despite its growing importance, the literature remains fragmented, with diverse conceptualizations, frameworks, and classifications that hinder the development of a coherent understanding of the field. This study addresses this gap by conducting a systematic literature review to identify, synthesize, and analyze the key dimensions of sustainable finance and their interrelationships. Following the PRISMA 2020 guidelines, the review examines academic publications indexed in Web of Science, Scopus, and Google Scholar between 2000 and 2026. The analysis focuses on how sustainable finance has been conceptualized across different scholarly traditions and investigates the evolution of its principal dimensions. The findings reveal that sustainable finance can be understood as a multidimensional construct comprising six interconnected dimensions: environmental, social, governance, economic and financial sustainability, institutional and regulatory, and strategic and innovation dimensions. These dimensions collectively contribute to sustainable development, financial performance, risk mitigation, and long-term value creation. The study advances the literature by proposing an integrated conceptual framework that synthesizes the multidimensional nature of sustainable finance and identifies emerging themes and future research directions. The findings provide valuable insights for researchers, practitioners, and policymakers seeking to advance sustainable finance theory and practice.
