Unravelling the research themes of financial literacy using topic modelling and text mining: A Machine learning perspective

Olasiuk, Hanna Petrivna, Kumar, Sanjeev, Singh, Sudhanshu, Nagpal, Ankita and Ganushchak, Tetiana (2024) Unravelling the research themes of financial literacy using topic modelling and text mining: A Machine learning perspective. In: 2023 Fourth International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), 08-09 December 2023, Bengaluru, India.

[thumbnail of Unravelling_the_Research_Themes_of_Financial_Literacy_Using_Topic_Modelling_and_Text_Mining_A_Machine_Learning_Perspective.pdf] Text
Unravelling_the_Research_Themes_of_Financial_Literacy_Using_Topic_Modelling_and_Text_Mining_A_Machine_Learning_Perspective.pdf - Published Version
Restricted to Repository staff only

Download (2MB) | Request a copy

Abstract

Financial literacy is essential in business, economics, and finance as it empowers individuals and organisations with the knowledge and skills needed for sound financial decision-making. It enables effective risk management, investment maximisation, and economic growth through responsible financial practices. Despite significant research growth in financial literacy over the past two decades, there exists a gap in comprehensive reviews of its primary themes. The study addresses this gap by utilising a blend of bibliometric analysis and a machine learning technique (structural topic modelling) on a dataset of 1303 articles from Elsevier’s Scopus database (2002-2022). It primarily focuses on financial literacy, highlighting key themes, publication trends, and notable journals. The outcomes of structural topic modelling unravel four distinct thematic clusters: i) Financial literacy and financial planning, ii) Financial literacy and financial education, iii) Financial literacy and technology, and iv) Financial literacy and financial behaviour. "Journal of Financial Counselling and Planning" is a prominent source, contributing 92 articles (7.1% of the total). Future studies on financial literacy should explore the evolving requirements of people and communities, encompassing an understanding of digital platforms and blockchain technologies, enabling them to make well-informed financial choices. These results provide valuable insights into the ever-changing landscape and emerging research trends in financial literacy. They hold significant relevance for diverse audiences, including scholars, policymakers, financial institutions, and professionals.

Item Type: Conference or Workshop Item (Paper)
Keywords: Machine Learning | Text Mining | Structural Topic Modelling | Financial literacy | Behavioural Finance
Subjects: Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance
Social Sciences and humanities > Economics, Econometrics and Finance > Economics
Social Sciences and humanities > Social Sciences > Social Sciences (General)
JGU School/Centre: Jindal Global Business School
Depositing User: Subhajit Bhattacharjee
Date Deposited: 15 Sep 2024 17:25
Last Modified: 15 Sep 2024 17:25
Official URL: https://doi.org/10.1109/ICSTCEE60504.2023.10584988
URI: https://pure.jgu.edu.in/id/eprint/8502

Downloads

Downloads per month over past year

Actions (login required)

View Item
View Item