Effect of gender as a moderating variable on financial vulnerability using hierarchical regressions: Survey evidence from Indonesian traditional market traders
-
Received October 12, 2022;Accepted November 11, 2022;Published November 17, 2022
-
Author(s)Link to ORCID Index: https://orcid.org/0000-0002-8846-1500Link to ORCID Index: https://orcid.org/0000-0001-9287-0588Link to ORCID Index: https://orcid.org/0000-0001-5537-8578Link to ORCID Index: https://orcid.org/0000-0003-2512-9540
-
DOIhttp://dx.doi.org/10.21511/imfi.19(4).2022.14
-
Article InfoVolume 19 2022, Issue #4, pp. 171-182
- TO CITE АНОТАЦІЯ
-
Cited by4 articlesJournal title: Global Business ReviewArticle title: Interplay Between Financial Literacy, Firm’s Characteristics, Behavioural Biases and Investment Choices—A Conditional Mediation ModelDOI: 10.1177/09721509241288622Volume: / Issue: / First page: / Year: 2024Contributors: Meena Bhatia, Ruchi Arora, Vandana MehrotraJournal title: Problems and Perspectives in ManagementArticle title: Women’s role in effective business management: A comparative analysisDOI: 10.21511/ppm.21(2).2023.67Volume: 21 / Issue: 2 / First page: 758 / Year: 2023Contributors: Fellanze Pula, Saranda Tafa, Linda Ukmata SanajaJournal title: Problems and Perspectives in ManagementArticle title: The impact of fiscal policy on female labor force participation in EgyptDOI: 10.21511/ppm.21(4).2023.28Volume: 21 / Issue: 4 / First page: 361 / Year: 2023Contributors: Emad Attia Mohamed Omran, Yuriy BilanJournal title:Article title:DOI:Volume: / Issue: / First page: / Year:Contributors:
- 703 Views
-
160 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Market traders have a significant contribution to GDP in Indonesia; however, their level of education is still low. This leads to a high level of financial vulnerability, so it is important to study this issue, and there is still not enough research on financial vulnerability. Market traders are considered to be more vulnerable to fraud and poor financial management, and this is more common among female traders who have a relatively high level of consumption and economic dependence on men. This study aims to determine the effect of financial behavior and digital financial literacy on financial vulnerability. In addition, the gender interaction between the two relationships was also tested to better understand whether gender weakens or strengthens the relationship. Using a survey method on 278 market traders in Indonesia and hierarchical regression analysis, the results show that digital financial literacy and financial behavior have a negative significant influence on financial vulnerability of market traders. This means that low digital financial literacy and poor financial behavior lead to high financial vulnerability of market traders. In addition, the results of the interaction test show that the negative effect of financial vulnerability is greater for men than women. This is because men usually provide for their families, so they will always try to improve their financial performance and productivity. An important implication of this study is to provide recommendations to the government and associations to further improve the digital literacy skills of market traders, especially female traders through training or mentoring.
Acknowledgment
This research was funded by the Directorate of Research, Technology and Community Service (DRTPM) of the Indonesian Ministry of Education and Culture in 2022 with the National Competitive Basic Research Grant scheme.
- Keywords
-
JEL Classification (Paper profile tab)G41, G53
-
References66
-
Tables3
-
Figures1
-
- Figure 1. Research model
-
- Table 1. Demographic data
- Table 2. Descriptive statistics
- Table 3. Hypothesis testing result
-
- Aditya, T., & Mahyuni, L. P. (2022). Pengaruh literasi keuangan, persepsi kemudahan, manfaat, keamanan dan pengaruh sosial terhadap minat penggunaan fintech. Jurnal Ekonomi, Manajemen Dan Akuntansi, 2(2), 245-258.
- Agabalinda, C., & Steel, F. W. (2021). Training vs. Informal Financial Services for The Promotion of Financial Literacy and Inclusian in Uganda. Enterprise Development & Microfinance, 32(1), 107-122.
- Ahmad, M., & Shah, S. Z. A. (2022). Overconfidence heuristic-driven bias in investment decision-making and performance: mediating effects of risk perception and moderating effects of financial literacy. Journal of Economic and Administrative Sciences, 38(1), 60-90.
- Anderloni, L., Bacchiocchi, E., & Vandone, D. (2012). Household financial vulnerability: An empirical analysis. Research in Economics, 66(3), 284-296.
- Baden-Fuller, C., & Haefliger, S. (2013). Business Models and Technological Innovation. Long Range Planning, 46(6), 419-426.
- Baihaqqy, M. R. I., Disman, Nugraha, Sari, M., & Ikhsan, S. (2020). The Effect of Financial Literacy on the Investment Decision. Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences, 3(4), 3073-3083.
- Becker, H. J., & Sterling, C. W. (1987). Equity in School Computer Use: National Data and Neglected Considerations. Journal of Educational Computing Research, 3(3), 289-311.
- Bellofatto, A., D’Hondt, C., & De Winne, R. (2018). Subjective financial literacy and retail investors’ behavior. Journal of Banking and Finance, 92, 168-181.
- Bernardo, N. (2017). The Future of Fintech. Intergrating Fintech and Technology in Financial Service. In Artificial Intelligence for .NET: Speech, Language, and Search.
- Campbell, R. J., & Lichtenberg, P. A. (2021). A Short Form of the Financial Exploitation Vulnerability Scale. Clinical Gerontologist, 44(5), 594-603.
- Cartelli, A. (2010). Frameworks for Digital Competence Assessment: Proposals, Instruments and Evaluation. Proceedings of the 2010 InSITE Conference, June, 561-574.
- Chen, Z., & Lemieux, C. M. (2016). Financial Knowledge and Behaviors of Chinese Migrant Workers: An International Perspective on a Financially Vulnerable Population. Journal of Community Practice, 24(4), 462-486.
- Chishti, S., & Barberis, J. (2016). The FinTech book:The financial technology handbook for investors,entrepreneurs and visionaries. United Kingdom: John Wiley & Sons.
- Cifuentes, R., Margaretic, P., & Saavedra, T. (2020). Measuring households’ financial vulnerabilities from consumer debt: Evidence from Chile. Emerging Markets Review, 43, 100677.
- Cunningham, M. (2008). Changing attitudes toward the male breadwinner, female homemaker family model: Influences of women’s employment and education over the lifecourse. Social Forces, 87(1), 299-324.
- Daud, S. N. M., Marzuki, A., Ahmad, N., & Kefeli, Z. (2019). Financial Vulnerability and Its Determinants: Survey Evidence from Malaysian Households. Emerging Markets Finance and Trade, 55(9), 1991-2003.
- de la Cuesta-González, M., Paredes-Gazquez, J., Ruza, C., & Fernández-Olit, B. (2021). The relationship between vulnerable financial consumers and banking institutions. A qualitative study in Spain. Geoforum, 119(August 2020), 163-176.
- De Vito, A., & Gómez, J. P. (2020). Estimating the COVID-19 cash crunch: Global evidence and policy. Journal of Accounting and Public Policy, 39(2), 106741.
- Delafrooz, N., & Paim, L. (2011). Determinants of financial wellness among Malaysia workers. African Journal of Business Management, 5(24), 10092-10100.
- Disney, R., Gathergood, J., & Weber, J. (2015). Credit counseling: A substitute for consumer financial literacy? Journal of Pension Economics and Finance, 14(4), 466-491.
- Dowling, N. A., Corney, T., & Hoiles, L. (2009). Financial management practices and money attitudes as determinants of financial problems and dissatisfaction in young male australian workers. Journal of Financial Counseling and Planning, 20(2).
- Eggers, F. (2020). Masters of disasters? Challenges and opportunities for SMEs in times of crisis. Journal of Business Research, 116(May), 199-208.
- Fan, L., & Babiarz, P. (2019). The Determinants of Subjective Financial Satisfaction and the Moderating Roles of Gender and Marital Status. Family and Consumer Sciences Research Journal, 47(3), 237-259.
- Fei, C. K., Sabri, M. F., Mohamed, N. A., Wijekoon, R., & Majid, A. A. Z. (2020). Determinants of Financial Vulnerability Among Young Determinants of Financial Vulnerability. Journal of Critical Review, 7(15), 3097-3107.
- Fernando, E., Surjandy, Meyliana, & Touriano, D. (2018). Development and Validation of Instruments Adoption FinTech services in Indonesia (Perspective of Trust and Risk). 3rd International Conference on Sustainable Information Engineering and Technology, SIET 2018 – Proceedings, November, 283-287.
- Gathergood, J. (2012). Self-control, financial literacy and consumer over-indebtedness. Journal of Economic Psychology, 33(3), 590-602.
- Geissler, J. E., & Horridge, P. (1993). University students’ computer knowledge and commitment to learning. Journal of Research on Computing in Education, 25(3), 347-365.
- Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services. Journal of Management Information Systems, 35(1), 220-265.
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2006). Multivariate Data Analysis. Pearson Prentice Hall.
- Halder, S., Ray, A., & Chakrabarty, P. K. (2010). Gender differences in information seeking behavior in three universities in West Bengal, India. International Information and Library Review, 42(4), 242-251.
- Hassan Al-Tamimi, H. A., & Anood Bin Kalli, A. (2009). Financial literacy and investment decisions of UAE investors. Journal of Risk Finance, 10(5), 500-516.
- Hermansson, C., & Jonsson, S. (2021). The impact of financial literacy and financial interest on risk tolerance. Journal of Behavioral and Experimental Finance, 29, 100450.
- Hoffmann, A. O. I., & McNair, S. J. (2019). How Does Consumers’ Financial Vulnerability Relate to Positive and Negative Financial Outcomes? The Mediating Role of Individual Psychological Characteristics. Journal of Consumer Affairs, 53(4), 1630-1673.
- Hsiao, Y. J., & Tsai, W. C. (2018). Financial literacy and participation in the derivatives markets. Journal of Banking and Finance, 88, 15-29.
- Idowu, P. A., Adagunodo, E. R., & Idowu, A. O. (2004). Gender Differences in Computer Literacy Among Nigeria Undergraduate Students: A Case Study of Obafemi Awolowo University Students, Nigeria. African Symposium: An On-Line African Educational Research Journal, 4(3).
- Jorgensen, B. L., Rappleyea, D. L., Schweichler, J. T., Fang, X., & Moran, M. E. (2017). The Financial Behavior of Emerging Adults: A Family Financial Socialization Approach. Journal of Family and Economic Issues, 38(1), 57-69.
- Kahn, R. L., Kahn, Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964). Organizational Stress: Studies in Role Conflict and Ambiguit. John Wiley.
- Kapoor, J. R., Dlabay, L. R., & Hughes, R. J. (2004). Personal Finance (7th ed.). McGraw-Hill.
- Korkmaz, M. Ç., Chesneau, C., & Korkmaz, Z. S. (2022). A new alternative quantile regression model for the bounded response with educational measurements applications of OECD countries. Journal of Applied Statistics.
- Lee, M. P., & Sabri, M. F. (2017a). Review of Financial Vulnerability Studies. Archives of Business Research, 5(2).
- Lee, M. P., & Sabri, M. F. (2017b). Review of Financial Vulnerability Studies. Archives of Business Research, 5(2), 127-134.
- Lewis, J., & Lewis, S. A. V. (2014). Processes of vulnerability in England? Place, poverty and susceptibility. Disaster Prevention and Management: An International Journal, 23(5), 586-609.
- Lichtenberg, P. A., Gross, E., & Campbell, R. (2020). A Short Form of the Lichtenberg Financial Decision Rating Scale. Clinical Gerontologist, 43(3), 256-265.
- Lindner, P. (2013). Household Vulnerability in Austria - A Microeconomic Analysis Based on the Household Finance and Consumption Survey. Financial Stability Report 25, June, 57-74.
- Lusardi, A. (2015). Financial literacy: Do people know the ABCs of finance? Public Understanding of Science, 24(3), 260-271.
- Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5-44.
- Mahdzan, Shahnaz, N., Tabiani, & Saleh. (2013). The Impact of Financial Literacy on Individual Saving: An Exploratory Study in the Malaysian CXontext. Transformations in Business & Economics, 12(1), 41-55.
- Miron-Shatz, T. (2009). Am i going to be happy and financially stable?: How american women feel when they think about financial security. Judgment and Decision Making, 4(1), 102-112.
- Mudzingiri, C., Mwamba, J. W. M., Keyser, J. N., & Bara, A. (2019). Indecisiveness on risk preference and time preference choices. Does financial literacy matter? Cogent Psychology, 6(1).
- Nguyen, C. P., & Su, T. D. (2021). Tourism, institutional quality, and environmental sustainability. Sustainable Production and Consumption, 28, 786-801.
- Ozmete, E., & Hira, T. K. (2011). Conceptual analysis of behavioral theories/models: Application to financial behavior. European Journal of Social Sciences, 18(3), 386-404.
- Peiris, T. U. I. (2021). Effect of Financial Literacy on Individual Savings Behavior; the Mediation Role of Intention to Saving. European Journal of Business and Management Research, 6(5), 94-99.
- Prasad, S., Kiran, R., & Sharma, R. K. (2021). Influence of financial literacy on retail investors’ decisions in relation to return, risk and market analysis. International Journal of Finance and Economics, 26(2), 2548-2559.
- Putri, A. M., Damayanti, S. M., & Rahadi, R. A. (2022). Digital Financial Literacy in Indonesia: A Literature Review. Central Asia and The Caucasus, 23(1).
- Rizal, R., Rusdiana, D., Setiawan, W., Siahaan, P., & Ridwan, I. M. (2021). Gender differences in digital literacy among prospective physics teachers. Journal of Physics: Conference Series, 1806(1).
- Ryu, H. S. (2018). Understanding benefit and risk framework of Fintech adoption: Comparison of early adopters and late adopters. Proceedings of the Annual Hawaii International Conference on System Sciences, 2018-Janua, 3864-3873.
- Sabri, M. F., Aw, E. C. X., Rahim, H. A., Burhan, N. A. S., Othmana, M. A., & Simanjuntak, M. (2021). Financial Literacy, Behavior and Vulnerability Among Malaysian Households: Does Gender Matter? International Journal of Economics and Management, 15(2), 241-256.
- Sabri, M. F., Wijekoon, R., & Rahim, H. A. (2020). The influence of money attitude, financial practices, self-efficacy and emotion coping on employees’ financial well-being. Management Science Letters, 10(4), 889-900.
- Schaumburg, H. (2001). Fostering Girls ’ Computer Literacy through Laptop Learning: Can Mobile Computers Help to Level Out the Gender Difference? National Educational Computing Conference, April 2001, 1-8.
- Stolper, O. A., & Walter, A. (2017). Financial literacy, financial advice, and financial behavior. Journal of Business Economics, 87(5), 581-643.
- Tang, N., Baker, A., & Peter, P. C. (2015). Investigating the Disconnect between Financial Knowledge and Behavior: The Role of Parental Influence and Psychological Characteristics in Responsible Financial Behaviors among Young Adults. Journal of Consumer Affairs, 49(2), 376-406.
- Wei, L., Peng, M., & Wu, W. (2021). Financial literacy and fraud detection – Evidence from China. International Review of Economics and Finance, 76(June), 478-494.
- Xiao, J. J. (2008). Applying behavior theories to financial behavior. Handbook of Consumer Finance Research, 69-81.
- Yuming, Z., Chao, X., & Xiaohan, G. (2020). The Shielding Effect of Access to Finance on Small and Medium-Sized Enterprises during the COVID-19 Crisis: Comparing Fintech and Traditional Finance. Emerging Markets Finance and Trade.
- Yusof, S. A., Rokis, R., & Jusoh, W. J. W. (2015). Financial Fragility of Urban Households in Malaysia. Jurnal Ekonomi Malaysia, 49(1), 15-24.
- Zhang, Y., Jia, Q., & Chen, C. (2021). Risk attitude, financial literacy and household consumption: Evidence from stock market crash in China. Economic Modelling, 94, 995-1006.
-
-
Conceptualization
Dody Hapsoro, Atika Jauharia Hatta, Muhammad Sabandi
-
Funding acquisition
Dody Hapsoro
-
Investigation
Dody Hapsoro, Julianto Agung Saputro, Cahyo Indraswono
-
Methodology
Dody Hapsoro, Atika Jauharia Hatta, Muhammad Sabandi
-
Resources
Dody Hapsoro, Atika Jauharia Hatta
-
Supervision
Dody Hapsoro
-
Validation
Dody Hapsoro, Julianto Agung Saputro, Cahyo Indraswono, Atika Jauharia Hatta, Muhammad Sabandi
-
Writing – original draft
Dody Hapsoro, Atika Jauharia Hatta, Muhammad Sabandi
-
Data curation
Julianto Agung Saputro, Cahyo Indraswono
-
Formal Analysis
Julianto Agung Saputro, Cahyo Indraswono, Atika Jauharia Hatta
-
Project administration
Julianto Agung Saputro, Cahyo Indraswono
-
Software
Julianto Agung Saputro, Cahyo Indraswono, Atika Jauharia Hatta
-
Visualization
Julianto Agung Saputro, Cahyo Indraswono
-
Writing – review & editing
Atika Jauharia Hatta, Muhammad Sabandi
-
Conceptualization
-
Assessing the dynamics of fintech in Indonesia
Investment Management and Financial Innovations Volume 15, 2018 Issue #4 pp. 296-303 Views: 1968 Downloads: 519 TO CITE АНОТАЦІЯFinancial technology or commonly known as fintech is relatively a new thing in Indonesia. This article is attempting to capture the dynamics of such technology in Indonesia. This paper was aimed to help researchers and academics who are interested in studying the phenomenon of fintech more broadly. This study is descriptive and exploratory by nature. Data were gathered from secondary sources, as well as interviews with practitioners, policy makers, and users. Data were collected during the period from 2016 to 2018, which was divided into several different stages. The results of the study show that fintech is more than just a phenomenon, it cannot be compared to other start-ups, and has the potential to fundamentally change the business and economic landscape.
-
Financial well-being – A Generation Z perspective using a Structural Equation Modeling approach
Investment Management and Financial Innovations Volume 19, 2022 Issue #1 pp. 32-50 Views: 1621 Downloads: 911 TO CITE АНОТАЦІЯThe current pandemic situation in the global economy has urged the need to revolutionize the financial services industry with a keen eye on consumers’ financial needs for sound financial decisions, which is necessary for financial well-being. The purpose of the study is to assess the financial well-being of Indian Gen Z students in relation to financial literacy, financial fragility, financial behavior, and financial technology. In addition, the study also tries to determine how Gen Z students’ financial well-being is influenced by other factors such as gender, age, parental education, employment status, and monthly income in India. The study uses the scientific data analysis approach, Partial Least Squares-SEM model to estimate, predict, and assess the hypotheses. A sample of 271 University students from India was surveyed using a self-administered structured questionnaire. Questions were incorporated to understand the effect of financial literacy, technology, fragility, behavior, demographic and parental characteristics on financial well-being. The results indicate that financial behavior is positively related to financial well-being, while financial fragility is negatively associated. However, financial literacy and financial technology do not significantly affect financial well-being. The results also show that financial well-being is significantly influenced by gender, parental education, employment status, and monthly income change. Understanding Indian Gen Z student financial well-being will expand the students’ understanding of the importance of financial literacy for well-planned financial behavior and informed decisions, hence high levels of financial well-being. Government and financial institutions can more effectively identify gaps and deficiencies in student financial well-being.
-
Generation Z perceptions in paying Zakat, Infaq, and Sadaqah using Fintech: A comparative study of Indonesia and Malaysia
Azhar Alam , Ririn Tri Ratnasari , Chabibatul Mua’awanah , Raisa Aribatul Hamidah doi: http://dx.doi.org/10.21511/imfi.19(2).2022.28Investment Management and Financial Innovations Volume 19, 2022 Issue #2 pp. 320-330 Views: 1227 Downloads: 596 TO CITE АНОТАЦІЯGeneration Z is the future generation with technology familiarity and is a trendsetter in financial technology. This study aimed to compare (similarities and differences) perceptions of Generation Z Muslims in Indonesia and Malaysia in paying Zakat, Infaq, and Sadaqah (ZIS). This study uses a qualitative approach with phenomenological methods through focus group discussions. This method was chosen because it allows substantial interaction between participants to compare objects more boldly. Initially, there were 43 Generation Z students from Indonesia and 25 Generation Z students from Malaysia. The total reduction of participants was carried out to find the most relevant and appropriate participants by determining the criteria for having paid ZIS using financial technology (Fintech) at least once. With 10 participants from each country from the final narrowing results, two stages of Focus Group Discussion were carried out. The findings show the similarity of perceptions of awareness of use, including the need and importance of usage benefits. The similarity of perceptions regarding reputation was also found in professionalism and reliability. In contrast, similar perceptions of satisfaction occurred in aspects of multifunction and usability. In addition, differences were found in the perception of data security. There are still suspicions about data security among Indonesian participants. No studies directly compare Generation Z Muslims in the two countries that pay ZIS through Fintech. This study confirms that it is essential to increase the security of personal data when using fintech. Then there is a feeling of security and comfort for Generation Z who donated ZIS.