1. BEHAVIORAL BIASES AND INVESTMENT DECISION MAKING AMONG WOMEN FACULTY: THE MEDIATING ROLE OF RISK PERCEPTION AND MODERATING ROLE OF FINANCIAL LITERACY
Authors: PALLAVI PANCHALINGA MURTHY, MOHAN SUBRAMANIYAM and SATYANARAYANA PARAYITAM*
Abstract
The study explores the relationships among behavioral biases, investment decision-making, risk perception, and financial literacy. A conceptual model is developed and tested by collecting data from 415 women faculty members at higher education institutions in India. More specifically, this study tests the effect of three behavioral biases – herding bias, loss aversion bias, and overconfidence bias-on investment decisions of women faculty. First, we checked the psychometric properties of the survey instrument and then tested the hypothesized relationships using partial least squares structural equation modelling (PLS-SEM). The findings indicated (a) behavioral biases are significantly and positively associated with risk perception, and (b) risk perception is positively and significantly associated with investment decision making. The results supported the negative effect of behavioral biases on investment decision-making. The findings also suggest that risk perception mediated the relationship between behavioral biases and investment decision-making. This study documented the moderating effect of financial literacy in the (i) relationship between risk perception and investment decision making, and (ii) behavioral biases and investment decision making. This study underscores the importance of financial literacy and provides direct empirical evidence to support the behavioral biases–investment decision relationship. Theoretical contributions and practical implications are discussed.
Keywords: Behavioural Finance, Financial Literacy, Herding, Investment Decision Making, Loss Aversion, Women Faculty, Overconfidence, Risk Perception.
2. REIMAGINING AI-ENABLED DIGITAL GREEN FINANCE: AN APPRAISAL OF EMERGING THEMES AND RESEARCH FRONTLINES
Authors: GOURAV KAMBOJ1 and Dr. SAKSHI BATHLA2
Abstract
The convergence of artificial intelligence, fintech and sustainable finance has augmented the transformation of global financial systems, yet the intellectual structure and thematic evolution of this emerging domain remain fragmented across disciplinary and jurisdictional boundaries. Addressing this gap, the present study integrates bibliometric analysis with systematic literature review techniques to synthesize the rapidly expanding scholarship on AI-enabled digital green finance published during 2020-2025. Drawing upon 341 Scopus-indexed articles for bibliometric mapping and 80 rigorously screened studies for thematic synthesis, this study employs Biblioshiny and VOSviewer to examine publication trends, influential authors, countries, collaborative networks, co-citation structures and thematic trajectories. The analysis identifies five dominant research clusters (a) AI-driven ESG analytics and sustainability reporting, (b) blockchain-enabled transparency mechanisms, (c) green fintech and financial inclusion, (d) AI-based climate-risk and sustainable investment systems and governance, (e) ethics and algorithmic accountability in digital green finance. The findings indicate a sharp expansion of the domain post 2020, driven primarily by sustainability-transition agendas, fintech innovation and data-centric ESG governance. Despite this growth, substantial gaps persist regarding explainable AI, longitudinal causal evidence, institutional heterogeneity and inclusive green-finance ecosystems. By integrating science mapping with thematic synthesis, the study contributes to a consolidated intellectual framework and future research agenda while offering policy and managerial insights for sustainable digital-finance governance.
Keywords: Digital Green Finance, Artificial Intelligence, Sustainable Finance, Fintech, ESG, Bibliometric Analysis, Systematic Literature Review, Climate Finance.
3. EVALUATION OF RESEARCH ON CUSTOMER PREFERENCE AND SATISFACTION IN INSURANCE INVESTMENT DECISIONS: A BIBLIOMETRIC ANALYSIS
Authors: MANISH NAG1, KUMARI ANUPAM2, CHANDER GOPAL3, AARTI SAINI4*, SANDHYA VUNNAVA5 and SATYANARAYANA PARAYITAM6
Abstract
Insurance industry has gradually developed into a risk-insurance system through a traditional mode of risk mitigation policy and is now more of a high-profile investment fund, thus customer preference and satisfaction are a key determinant of insurance investment. As the variety of insurance products grows and more customers are aware, the issue of determining the determinants of preference and satisfaction has gained more significance. This paper attempt to review the intellectual organization, development of themes, and patterns of research in academic literature on customer preference and satisfaction in insurance investment decisions through bibliometric approach. A bibliometric analysis was performed on the publications available in the Scopus database from 2016-2026. The relevant documents were obtained using a well-developed search strategy that involved keywords associated with insurance, investment decisions, customer preference, and customer satisfaction. The bibliometric methods, such as the performance analysis and science mapping were used to investigate the trends in publications, sources of influence, authors, institutions, and countries. Co-authorship, co-citation, key word co occurrence, thematic mapping and thematic evolution was analysed to determine the prevailing research themes, emerging and waning research themes in the field. The findings indicate that publications have been increasing steadily, so that it is evident that there is growing academic curiosity concerning insurance-based investment decisions. The themes of customer satisfaction, investment behaviour, risk perception, service quality and trust in insurance providers are the main points of the literature concentration. The analysis of co-occurrence of keywords reveals that there is a progressive change between the traditional factors of insurance choices to behavioural and psychological factors that impact investment choices. The research also defines major journals, frequently accessed articles, and key researchers who have influenced the field of this research. The paper included articles from the Scopus database and documents written in English, which may have excluded other important relevant studies. Apart from this limitation, the findings revealed a research gap in knowledge and new themes that should be further explored in an empirical study. The research provides some practical implications to the insurance firms, policy makers and financial advisors because it points out some important aspects of customer preference and satisfaction in insurance investment products. These trends can be used to understand how to design insurance solutions that are customer-centric and enhance customer engagement in the long term. The study adds to the existing literature since it offers a bibliometric account of the studies on customer preference and satisfaction in insurance investment decision-making. It summarizes the development and organization of existing knowledge by mapping its evolution and structure, hence providing a consolidated basis to be used by future research and theory development on insurance and investment behaviour studies.
Keywords: Insurance Investment Decisions, Customer Preference, Customer Satisfaction, Investment Behaviour, Bibliometric Analysis.