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Research Trends in Digital Financial Inclusion: A Bibliometric Analysis using VoSviewer Ahiase, Godwin; Umar, Abdurrauf; M. Saeed, Abdulmalek Marwan; Rasuman, Mohammad Abedin; do Rego Tilman Suri, Epifania Rianti
Jurnal Ilmu Keuangan dan Perbankan (JIKA) Vol. 13 No. 2: June 2024
Publisher : Program Studi Keuangan & Perbankan, Fakultas Ekonomi dan Bisnis, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jika.v13i2.12551

Abstract

Digital financial inclusion (DFI) aims to provide affordable and sustainable financial services to the financially excluded and underserved through cost-effective digital means. This quantitative bibliometric and descriptive research aims to conduct a bibliometric analysis of DFI using VOSviewer software. Data was collected based on the keyword "digital financial inclusion" from Google Scholar. From the results, in 2019 the number of DFI publications increased compared to 2018, indicating an increase in interest. The number remained stable in 2020 and 2021, but there was a significant spike in research interest in 2022. These findings are important for policymakers, researchers, and practitioners to determine the novelty and quantity of the data.
Financial Literacy Among Female Entrepreneurs in Ghana: Evidence from Traditional Markets Ahiase, Godwin; Sari, Maya; Nugraha, Nugraha; Andriana, Denny; Kpodo, Percy Chris; Ampomah, Philipina
Image : Jurnal Riset Manajemen Vol 12, No 1 (2024): Image : Jurnal Riset Manajemen
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/image.2024.003

Abstract

This study examines the financial behaviour and utilisation of e-finance among female entrepreneurs in traditional marketplaces in Ghana. The researchers collected data from 385 female entrepreneurs using a quantitative research method. The data was collected through a descriptive survey design and analysed using ordinary least squares regression models. The results show significant correlations between e-finance adoption, financial literacy, and financial behaviour. This highlights the importance of financial literacy in enabling women to participate in the market. The study also found that financial literacy had a greater impact on the financial behaviour of younger women, suggesting the need for targeted interventions that leverage technology. Additionally, the study found that the level of education had a significant impact on the adoption of electronic finance. This emphasises the importance of improving digital literacy to bridge the skills divide. Based on these findings, the study suggests the need for tailored financial education programmes and comprehensive initiatives to promote responsible financial practices and the adoption of modern financial technologies by female entrepreneurs in traditional markets.
Research Trends in Digital Financial Inclusion: A Bibliometric Analysis using VOSviewer Ahiase, Godwin; Umar, Abdurrauf; Marwan. M. Saeed, Abdulmalek; Abedin Rasuman, Mohammad; Rianti do Rego Tilman Suri, Epifania
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 1 (2024): INJIISCOM: VOLUME 5, ISSUE 1, JUNE 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i1.12503

Abstract

Digital financial inclusion (DFI) aims to provide affordable and sustainable financial services to financially excluded and underserved populations through cost-saving digital means. The purpose of the study is to conduct a bibliometric analysis of DFI using VOSviewer software. A bibliometric and descriptive quantitative approach was employed. Data was collected based on the keyword "digital financial inclusion" from Google Scholar. From the search results, 982 articles published between 2018 and 2023 were found, with 125 relevant to the topic. The number of DFI publications increased from 7 in 2018 to 18 in 2019, indicating a growing interest. The number remained stable in 2020 and 2021, but there was a significant surge in research interest in 2022 with 37 publications. This study demonstrates the relevance of bibliometric analysis, particularly in the field of DFI. The findings are essential for policymakers, researchers, and practitioners to determine the novelty and quantity of data.
Bibliometric Analysis using Vos Viewer with Publish or Perish of Intelligent Tutoring System in Private Universities Kurniawan, Bobi; Meyliana, M; Leslie Hendric Spits Warnars, Harco; Suharjo, Bambang; Ahiase, Godwin
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 5 No. 2 (2024): INJIISCOM: VOLUME 5, ISSUE 2, DECEMBER 2024
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v5i2.12732

Abstract

The objective of this study is to analyze the development of intelligent tutoring systems in private universities. We conducted the analysis using bibliometric methods, utilizing the Publish or Perish and VOSviewer applications. Data was obtained by using the publish or perish application with the keyword "intelligent tutoring system in private university" from the Google Scholar database from 2019 to 2024. According to search results, the number of research papers has decreased from 117 to 23 from 2020 to 2024. Mapping using VOSviewer application produces three types of visualization, namely network, overlay, and density visualization. In its conclusion, this research notes a decrease in the number of studies discussing in private universities since 2020, but still shows great potential for development by other researchers.
Cognitive Bias on Financial Decision-Making in MSMEs Purnamasari, Imas; Sugiharti, Harpa; Machmud, Amir; Hartika, Nely; Ahiase, Godwin; Acheampong, Kennedy
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.14805

Abstract

This study aims to analyze the effect of cognitive bias on the Financial Decision Making of MSME actors in Bandung City. The research method used is descriptive verification with quantitative approach. Data were collected through questionnaires distributed to 385 MSME actors in Bandung City. The variables being studied for independent variables are overconfidence bias, confirmation bias, herding bias, anchoring bias, hindsight bias, the illusion of control bias, loss aversion bias, endowment bias, regret aversion bias, and status quo bias, while for the dependent variable is Financial Decision Making. Regression results show that overconfidence bias and loss aversion bias positively affect financial decision-making, while the illusion of control bias has a negative effect. Other cognitive bias variables do not affect Financial Decision Making. Cognitive biases that cause suboptimal financial decisions can hinder the productivity of MSMEs, this can affect the contribution of the MSME sector to the National Gross Domestic Product.
Cognitive Bias on Financial Decision-Making in MSMEs Purnamasari, Imas; Sugiharti, Harpa; Machmud, Amir; Hartika, Nely; Ahiase, Godwin; Acheampong, Kennedy
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 1 (2025): March 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i1.14805

Abstract

This study aims to analyze the effect of cognitive bias on the Financial Decision Making of MSME actors in Bandung City. The research method used is descriptive verification with quantitative approach. Data were collected through questionnaires distributed to 385 MSME actors in Bandung City. The variables being studied for independent variables are overconfidence bias, confirmation bias, herding bias, anchoring bias, hindsight bias, the illusion of control bias, loss aversion bias, endowment bias, regret aversion bias, and status quo bias, while for the dependent variable is Financial Decision Making. Regression results show that overconfidence bias and loss aversion bias positively affect financial decision-making, while the illusion of control bias has a negative effect. Other cognitive bias variables do not affect Financial Decision Making. Cognitive biases that cause suboptimal financial decisions can hinder the productivity of MSMEs, this can affect the contribution of the MSME sector to the National Gross Domestic Product.