Exploring the Effects of Financial Knowledge on Better Decision-Making in SMEs
Abstract
:1. Introduction
- RQ1.
- How does financial education influence micro-entrepreneurs’ decision-making?
- RQ2.
- What is the impact of financial education on the long-term sustainability of microenterprises?
- RQ3.
- How do elements of financial education, such as household budgeting, savings, credit, and insurance, interact in the business management of microenterprises?
2. Theoretical Framework
3. Materials and Methods
3.1. Knowledge of Finance
3.1.1. Benefits of Financial Education
3.1.2. Theories of Financial Education
3.1.3. Dimensions for Financial Education
- The first dimension, the family budget, refers to the financial behavior of individuals, who often lack the habit of planning their expenses based on their income and needs. This deficiency is attributed to the lack of adequate financial education in formal educational systems, which is aggravated in a consumer society that ignores financial problems. The preparation of a personal budget is essential to control finances, allowing a conscious distribution of resources between fixed and variable expenses, such as food, debt, recreation, and health, which is crucial to achieving financial freedom (BAC-Credomatic Financial Network, 2009, pp. 169–178).
- The second dimension, savings, is closely linked to investment, as it represents the conservation of current resources with a view to the future. This concept refers, among others, to savings, stocks, and bonds: financial choices are capable of influencing people’s quality of life on a large scale (Huston, 2010) as cited in (Ramos et al., 2017).
- The third dimension, credit, involves the use of future resources in the present through financial products such as credit cards and loans. Still, it is required to have effective financial education aimed at decreasing the linked costs of credit money, helping people make proper decisions according to the EU financial market environment (Huston, 2010) as cited in (Ramos et al., 2017).
- Finally, the fourth dimension, insurance, focuses on the protection of resources and risk management through specific financial products. To emphasize, recognizing these ideas is crucial for having sufficient insurance protection in case of something to maintain individual and family finance security (Huston, 2010) as cited in (Ramos et al., 2017).
3.2. Making Financial Decisions
3.2.1. On Financial Decision-Making
3.2.2. Definition of Dimensions
3.3. Methodology
3.3.1. Variables (Conceptual Definition and Operationalization)
3.3.2. Research Method
4. Results
4.1. Description of Results
4.1.1. Variable 1: Financial Education
4.1.2. Variable 2: Financial Decision-Making
4.2. Normality Test—Inferential Statistics
- -
- General Null Hypothesis (H0). Financial education and decision-making among micro-entrepreneurs in the Province of Chanchamayo were conducted, and no real relationship was found.
- -
- General Alternative Hypothesis (H1). This study confirms the existence of a direct correlation between perceived financial literacy and actual financial behavior among microenterprises in the Province of Chanchamayo.
- Specific Null Hypothesis for Budgeting (H0). Family budgeting and micro-entrepreneur’s decision-making is not related at all.Specific Alternative Hypothesis for Budgeting (H1). This study shows that family budgeting and decision-making play an important role in the life of micro-entrepreneurs.
- Specific Null Hypothesis for Savings (H0). No correlation exists between savings and decision-making when it comes to micro-entrepreneurs.Specific Alternative Hypothesis for Savings (H1). In this study, carried out with micro-entrepreneurs, there was an established relationship between savings and decision-making.
- Specific Null Hypothesis for Credit Management (H0). There is no correlation between the credit management and the decision-making of the micro-entrepreneurs.Specific Alternative Hypothesis for Credit Management (H1). On balance, therefore, there is a relationship between credit management and decision-making among micro-entrepreneurs.
- Specific Null Hypothesis for Insurance (H0). Insurance has no correlation with decision-making among micro-entrepreneurs.Specific Alternative Hypothesis for Insurance (H1). A clear correlation exists between insurance and decision-making for all the micro-entrepreneurs.
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Reference | Pros | Cons | Research Gap |
---|---|---|---|
(Mungaray et al., 2021) | Comprehensive exploration of financial education’s impact on micro-entrepreneurs. | Limited focus on macroeconomic implications. | Lack of longitudinal data to analyze long-term effects of financial education. |
(Silva et al., 2023) | Highlights the role of financial management practices in SMEs for strategic optimization. | Focused only on Quevedo SMEs, limiting generalizability. | Excludes comparative analysis with SMEs from other geographic or economic contexts. |
(Pérez et al., 2021) | Demonstrates a strong correlation between financial education and personal finance skills. | Lacks a deeper look into external influencing variables, such as economic policy. | No discussion on the scalability of findings to larger businesses or other regions. |
(L. Guo et al., 2022) | Provides a macroscopic view of trends and hotspots in financial decision-making research. | Lacks case-specific insights; data interpretation is heavily dependent on statistical models. | Does not explore practical implementation or decision-making at organizational levels. |
(Obi-Anike et al., 2023) | Strong focus on the interplay between financial literacy and agribusiness performance. | Limited to agribusiness; does not consider other SME sectors. | Minimal attention to cross-industry applications or policy implications. |
(Burchi et al., 2021) | Links financial literacy with entrepreneurship and sustainable development. | Limited to Central Europe, without accounting for global or diverse economic conditions. | Overlooks specific mechanisms that enhance financial literacy’s impact in resource-constrained contexts. |
(Ye & Kulathunga, 2019) | Discusses financial literacy and accessibility to finance in developing countries. | Focuses narrowly on Sri Lanka, reducing applicability to other developing economies. | Lack of exploration of digital financial education tools and their role in SME growth. |
Variables | Operational Definition | Dimensions | Indicators | Measurement Scale |
---|---|---|---|---|
Variable 1 Financial Education | The financial education variable will be measured by a questionnaire with Likert-type scale alternatives. | D1 = Family budget | Financial income Bills Budget | Ordinal |
D2 = Savings | Savings in the formal financial system Savings in unauthorized entities | |||
D3 = Credits | Credits in the formal financial system Credits in unauthorized entities | |||
D4 = Insurance | Sure Types of financial insurance | |||
Variable 2 Financial Decision-Making | The financial decision-making variable will be measured by a questionnaire with Likert-type scale alternatives. | D1 = Rational financial decisions | Financial decisions at home Decisions on the formal financial system Decisions against unauthorized institutions Evaluating the interest rate | Ordinal |
D2 = Limited Rational Financial Decisions | Contingency decisions Information processing |
Variable | Dimensions | Indicators | Items | Rating Scale |
---|---|---|---|---|
Variable: Financial Education | D1 = Family budget | Financial income | You record your financial income | 1 = Never 2 = Almost never 3 = Sometimes 4 = Almost always 5 = Always |
Bills | You record your expenses You determine your fixed expenses You determine your variable expenses | |||
Budget | You make your family budget | |||
D2 = Savings | Savings in the formal financial system | You save in the formal financial system In a savings account of the formal financial system, money is safe | ||
Savings in unauthorized entities | You save in entities not authorized by the SBS Money is safe in a savings account at an unauthorized entity | |||
D3 = Credits | Credits in the formal financial system | You resort to loans in the formal financial system You resort to using credit cards to make use of cash | ||
You resort to loans from companies not authorized by the SBS | ||||
Credits in unauthorized entities | You pay your acquired loans on time | |||
Learn about the importance of rating your credit performance in risk centers | ||||
D4 = Insurance | Sure | Know what insurance is Do you have any insurance? | ||
Types of financial insurance | Know what insurance financial institutions offer | |||
Variable: Financial decision-making | D1 = Decisions financial rational | Financial decisions at home | Rational financial decisions are made in your home (personal finances such as savings) | |
Rational financial decisions are made in your home (personal finances such as budgeting) | ||||
Rational financial decisions are made in your home (personal finances such as insurance) | ||||
Decisions regarding the formal financial system | In an economic emergency, turn to the formal financial system | |||
In an economic emergency, resort to unauthorized entities | ||||
Evaluating the interest rate | Before applying for a loan, evaluate the annual effective cost rate (AER) | |||
Before opening a savings account, evaluate the interest rate | ||||
D2 = Decisions Rational financial limited | Contingency decisions | When you have an emergency need for money, you take out a loan from any entity | ||
When you have an emergency need for money, you take a loan from anyone | ||||
Information processing | Before making a financial decision, process information to accept “good enough” solutions and satisfy your demand Before making a financial decision, process the information to maximize solution alternatives |
Level | Interval | Value | Percentage |
---|---|---|---|
Deficient | 17 to 39 | 104 | 55.91% |
Regular | 40 to 62 | 75 | 40.32% |
Optimum | 63 to 85 | 7 | 3.76% |
Total | 186 | 100.00% |
Level | Interval | Value | Percentage |
---|---|---|---|
Deficient | 5 to 11 | 93 | 50.00% |
Regular | 12 to 18 | 77 | 41.40% |
Optimum | 19 to 25 | 16 | 8.60% |
Total | 186 | 100.00% |
Level | Interval | Value | Percentage |
---|---|---|---|
Deficient | 4 to 9 | 94 | 50.54% |
Regular | 10 to 15 | 77 | 41.40% |
Optimum | 16 to 20 | 15 | 8.06% |
Total | 186 | 100.00% |
Level | Interval | Value | Percentage |
---|---|---|---|
Deficient | 5 to 11 | 94 | 50.54% |
Regular | 12 to 18 | 74 | 39.78% |
Optimum | 19 to 25 | 18 | 9.68% |
Total | 186 | 100.00% |
Level | Interval | Value | Percentage |
---|---|---|---|
Deficient | 3 to 7 | 101 | 54.30% |
Regular | 8 to 11 | 70 | 37.63% |
Optimum | 12 to 15 | 15 | 8.06% |
Total | 186 | 100.00% |
Level | Interval | Count | Percentage |
---|---|---|---|
Deficient | 11 to 25 | 91 | 48.92% |
Regular | 26 to 40 | 82 | 44.09% |
Optimum | 41 to 55 | 13 | 6.99% |
Total | 186 | 100.00% |
Level | Interval | Count | Percentage |
---|---|---|---|
Deficient | 7 to 16 | 94 | 50.54% |
Regular | 17 to 26 | 78 | 41.94% |
Optimum | 27 to 35 | 14 | 7.53% |
Total | 186 | 100.00% |
Level | Interval | Count | Percentage |
---|---|---|---|
Deficient | 4 to 9 | 96 | 51.61% |
Regular | 10 to 15 | 74 | 39.78% |
Optimum | 16 to 20 | 16 | 8.60% |
Total | 186 | 100.00% |
Shapiro–Wilk | |||
---|---|---|---|
Statistical | gL | Next. | |
Financial Education | 0.236 | 186 | 0.000 |
Financial Decision-Making | 0.223 | 186 | 0.000 |
Relationship Type (r) | Range | Relationship | Significance |
---|---|---|---|
r is 1 direct relationship (positive) | (+0.10 to +0.24) | Very weak positive correlation | Significant (p value < 0.0) Highly significant (p value < 0.01) Not significant (p value > 0.05) |
(+0.25 to +0.49) | Weak positive correlation | ||
(+0.50 to +0.74) | Average positive correlation | ||
(+0.75 to +0.89) | Strong positive correlation | ||
(+0.90 to +0.99) | Very strong positive correlation | ||
(+1) | Perfect positive correlation | ||
r is 1 inverse relationship (negative) | (−0.10 to −0.24) | Very weak negative correlation | |
(−0.25 to −0.49) | Weak negative correlation | ||
(−0.50 to −0.74) | Average negative correlation | ||
(−0.75 to −0.89) | Strong negative correlation | ||
(−0.90 to −0.99) | Very strong negative correlation | ||
(−1) | Perfect negative correlation |
Correlations | ||||
---|---|---|---|---|
financial education | decision-making | |||
Spearman’s Rho | financial education | Correlation coefficient | 1.000 | 0.786 ** |
Next (bilateral) | 0.000 | |||
N | 186 | 186 | ||
decision-making | Correlation coefficient | 0.786 ** | 1.000 | |
Next (bilateral) | 0.000 | |||
N | 186 | 186 |
Correlations | ||||
---|---|---|---|---|
family budget | decision-making | |||
Spearman’s Rho | family budget | Correlation coefficient | 1.000 | 0.798 ** |
Next (bilateral) | 0.000 | |||
N | 186 | 186 | ||
decision-making | Correlation coefficient | 0.798 ** | 1.000 | |
Next (bilateral) | 0.000 | |||
N | 186 | 186 |
Correlations | ||||
---|---|---|---|---|
saving | decision-making | |||
Spearman’s Rho | saving | Correlation coefficient | 1.000 | 0.797 ** |
Next (bilateral) | 0.000 | |||
N | 186 | 186 | ||
decision-making | Correlation coefficient | 0.797 ** | 1.000 | |
Next (bilateral) | 0.000 | |||
N | 186 | 186 |
Correlations | ||||
---|---|---|---|---|
credits | decision-making | |||
Spearman’s Rho | credits | Correlation coefficient | 1.000 | 0.790 ** |
Next (bilateral) | 0.000 | |||
N | 186 | 186 | ||
decision-making | Correlation coefficient | 0.790 ** | 1.000 | |
Next (bilateral) | 0.000 | |||
N | 186 | 186 |
Correlations | ||||
---|---|---|---|---|
insurance | decision-making | |||
Spearman’s Rho | insurance | Correlation coefficient | 1.000 | 0.789 ** |
Next (bilateral) | 0.000 | |||
N | 186 | 186 | ||
decision-making | Correlation coefficient | 0.789 ** | 1.000 | |
Next (bilateral) | 0.000 | |||
N | 186 | 186 |
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González-Prida, V.; Pariona-Amaya, D.; Sánchez-Soto, J.M.; Barzola-Inga, S.L.; Aguado-Riveros, U.; Moreno-Menéndez, F.M.; Villar-Aranda, M.D. Exploring the Effects of Financial Knowledge on Better Decision-Making in SMEs. Adm. Sci. 2025, 15, 24. https://doi.org/10.3390/admsci15010024
González-Prida V, Pariona-Amaya D, Sánchez-Soto JM, Barzola-Inga SL, Aguado-Riveros U, Moreno-Menéndez FM, Villar-Aranda MD. Exploring the Effects of Financial Knowledge on Better Decision-Making in SMEs. Administrative Sciences. 2025; 15(1):24. https://doi.org/10.3390/admsci15010024
Chicago/Turabian StyleGonzález-Prida, Vicente, Diana Pariona-Amaya, Juan Manuel Sánchez-Soto, Sonia Luz Barzola-Inga, Uldarico Aguado-Riveros, Fabricio Miguel Moreno-Menéndez, and Mark David Villar-Aranda. 2025. "Exploring the Effects of Financial Knowledge on Better Decision-Making in SMEs" Administrative Sciences 15, no. 1: 24. https://doi.org/10.3390/admsci15010024
APA StyleGonzález-Prida, V., Pariona-Amaya, D., Sánchez-Soto, J. M., Barzola-Inga, S. L., Aguado-Riveros, U., Moreno-Menéndez, F. M., & Villar-Aranda, M. D. (2025). Exploring the Effects of Financial Knowledge on Better Decision-Making in SMEs. Administrative Sciences, 15(1), 24. https://doi.org/10.3390/admsci15010024