Olasiuk, Hanna Petrivna , Kumar, Sanjeev
, 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.
, 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.
  
  
  
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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: | Users 14 not found. | 
| 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 | 
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