4. Results
The findings obtained in the scope of the study are presented in the tables below.
As shown in
Table 2, the sample consisted of 245 Generation Z participants, with a slightly higher proportion of females (55.1%) than males (44.9%). The majority of participants were aged 18–21 and primarily enrolled in their second or third academic year. Most participants reported average academic performance. Regarding parental education, the majority of mothers had completed primary education, while fathers’ education levels were more evenly distributed. In terms of family income, most participants reported a medium income level. Approximately one-fifth of the participants indicated the presence of an entrepreneur in the family.
As shown in
Table 3, the descriptive statistics reveal that the university students in the present Turkish sample exhibit a moderately high level of social entrepreneurship tendency (
M = 3.77,
SD = 0.573). Examination of the sub-dimensions indicates that social vision (
M = 3.76,
SD = 0.696), financial return (
M = 3.64,
SD = 0.739), and innovation (
M = 3.65,
SD = 0.730) display comparable mean scores, suggesting a relatively balanced orientation across these components. The sustainability sub-dimension yielded a slightly higher mean (
M = 3.81,
SD = 0.675), reflecting an increased emphasis on long-term social and environmental considerations within this student cohort. The highest mean score was observed for social networks
(M = 4.03,
SD = 0.697), underscoring the pivotal role of networking and relational capital in shaping students’ social entrepreneurship tendencies. In contrast, the financial literacy level was moderate (
M = 3.46,
SD = 0.993), indicating potential for enhancement in foundational economic and financial competencies.
Table 4 presents the results of the correlation analysis examining the relationships between financial literacy and social entrepreneurship tendency, as well as its sub-dimensions.
To determine which specific dimensions of social entrepreneurship tendency are associated with financial literacy, correlation analyses were conducted between financial literacy and each sub-dimension of the social entrepreneurship tendency. As shown in
Table 4, financial literacy is positively and significantly correlated with financial return (
r = 0.226,
p < 0.01), sustainability (
r = 0.200,
p < 0.01), and social networks (
r = 0.224,
p < 0.01). These results indicate that higher levels of financial literacy are primarily associated with economic-oriented and network-based aspects of social entrepreneurship, while no significant correlations were observed with social vision or innovation, suggesting that financial literacy has less influence on visionary or innovative dimensions of social entrepreneurship tendency.
Given that the overall social entrepreneurship tendency score is computed from its sub-dimensions, these findings imply that financial literacy contributes modestly to the total social entrepreneurship tendency, reflecting partial support for Hypotheses 2 and 3 (H2, H3). The strongest association is observed with the financial return dimension, whereas the weakest relationship emerges with social networks. These results highlight that, although financial literacy plays a role in shaping social entrepreneurship tendencies, additional individual, social, and contextual factors likely exert a larger influence.
Following the identification of significant relationships among the variables through correlation analysis, a simple linear regression analysis was conducted to examine the effect of financial literacy on social entrepreneurship tendency. The results of the regression analysis are presented in
Table 5.
Table 5 presents the results of the simple linear regression analysis examining the effect of financial literacy on social entrepreneurship tendency. The analysis indicates that financial literacy has a positive but modest effect on social entrepreneurship tendency (
R = 0.128,
p < 0.05).
The relationship between financial literacy and social entrepreneurship tendency can be expressed by the following regression equation:
where
y represents social entrepreneurship tendency, the dependent variable.
x represents financial literacy, the independent variable.
β0 = 3.966 is the intercept, indicating the expected social entrepreneurship tendency when x = 0.
β1 = 0.056 is the slope, indicating that a one-unit increase in x is associated with a 0.056-unit increase in y.
The results of the regression analysis (
Table 5) indicate that a one-unit increase in financial literacy is associated with a 0.056-unit increase in social entrepreneurship tendency, and this effect is statistically significant (
p = 0.046). The model accounts for approximately 1.6% of the variance in social entrepreneurship tendency (
R2 = 0.016), suggesting that while financial literacy contributes positively, its explanatory power is modest. These findings highlight a statistically significant but limited influence of financial literacy on overall social entrepreneurship tendencies among the sampled university students.
Given that financial literacy was not significantly correlated with the social vision and innovation sub-dimensions, a subsequent regression analysis excluding these dimensions was conducted to further examine its impact on the remaining components.
The results of this analysis are presented in
Table 6, providing a more nuanced understanding of how financial literacy contributes specifically to the economic-oriented and network-based aspects of social entrepreneurship tendency.
A subsequent regression model, excluding the social vision and innovation dimensions due to their non-significant association with financial literacy in the initial analysis, is presented in
Table 6. In this model, financial literacy remains a statistically significant predictor of social entrepreneurship tendency (
B = 0.062,
p = 0.029;
R2 = 0.019), indicating that approximately 1.9% of the variance in social entrepreneurship tendency is accounted for by financial literacy.
These findings provide partial support for Hypothesis 4 (H4), demonstrating a positive yet modest effect of financial literacy on social entrepreneurship tendency among the sampled university students. Importantly, the limited variance explained underscores that additional individual, social, and contextual factors are likely more influential in shaping students’ social entrepreneurship behaviors.
Table 7 presents the results of independent-samples
t-tests comparing social entrepreneurship tendency, its sub-dimensions, and financial literacy across gender. These analyses provide insights into potential gender-based differences in the measured constructs within the study sample.
Table 7 presents the results of independent-samples
t-tests comparing social entrepreneurship tendency, its sub-dimensions, and financial literacy by gender. The analysis indicates that social entrepreneurship tendency and the sub-dimensions social vision, innovation, sustainability, and social networks did not differ significantly between male and female participants (
p < 0.05). However, the financial return sub-dimension revealed a significant gender difference (
p < 0.05), with male participants scoring higher than female participants. Additionally, financial literacy was found to differ significantly by gender (
p < 0.05), with female participants scoring higher than male participants. These results suggest that gender is associated with certain specific aspects of social entrepreneurship and financial literacy, while most dimensions of social entrepreneurship tendency remain consistent across genders.
Table 8 shows that no significant differences were observed in social entrepreneurship tendency, its sub-dimensions, or financial literacy across age groups (
p > 0.05). These results indicate that participants’ age does not appear to influence their social entrepreneurship orientation or financial literacy, suggesting stability of these constructs across different age categories.
Table 9 presents the results of analyses comparing social entrepreneurship tendency, its sub-dimensions, and financial literacy across grade levels. The findings indicate that social entrepreneurship tendency and the sub-dimensions social vision, financial return, and sustainability did not differ significantly across grades (
p < 0.05). In contrast, the sub-dimensions innovation and social networks exhibited significant differences by grade level (
p < 0.05). Post hoc analyses using the Dunnett test revealed that for innovation, third-year students scored significantly higher than fourth-year students (
p = 0.023). Conversely, for social networks, fourth-year students scored significantly higher than third-year students (
p = 0.006).
Regarding financial literacy, significant differences were observed across grade levels (p < 0.05). Post hoc comparisons showed that fourth-year students scored significantly higher than both first-year (p = 0.006) and third-year students (p < 0.001).
These results suggest that while most dimensions of social entrepreneurship tendency remain relatively stable across academic years, specific dimensions (innovation and social networks) and financial literacy exhibit significant variation by grade level, indicating that students’ academic progression may influence certain cognitive and social aspects relevant to entrepreneurial orientation.
Table 10 shows that social entrepreneurship tendency and its sub-dimensions of social vision, financial return, innovation, and sustainability did not show significant differences according to academic achievement (
p > 0.05), while the social networks sub-dimension showed significant differences according to academic achievement (
p < 0.05). It was determined that the significant difference in the social networks sub-dimension was between the highly successful and unsuccessful (
p = 0.038, Dunnett test). Accordingly, the social networks score of those with very high academic achievement are higher than those with low academic achievement. It was determined that financial literacy did not show a significant difference according to academic achievement (
p > 0.05).
Table 11 shows that there are no significant differences in social entrepreneurship tendencies and their sub-dimensions according to the Mother’s educational level (
p > 0.05). Financial literacy was found to show significant differences according to the Mother’s educational level (
p < 0.05). A significant difference was found between those whose mothers had a primary school-bachelor’s degree (
p = 0.001, Dunnett test) and those whose mothers had a high school-bachelor’s degree (
p = 0.021, Dunnett test). Accordingly, the financial literacy score of participants whose mothers had a bachelor’s degree was lower than that of participants whose mothers had a primary school or high school degree.
Table 12 shows that the social entrepreneurship tendency exhibits a significant difference (
p < 0.05) only in the financial return sub-dimension according to the Father’s educational level. The significant difference was found among those whose fathers were high school or postgraduate graduates (
p = 0.044, Dunnett test). Accordingly, the financial return score of participants whose fathers were postgraduate degree holders was higher than that of participants whose fathers were high school graduates. Financial literacy was found to show a significant difference according to the Father’s educational level (
p < 0.05). A significant difference was found between participants whose fathers had elementary school and graduate degrees (
p = 0.013, Dunnett test). Accordingly, the financial literacy scores of participants whose fathers had elementary school degrees were higher than those of participants whose fathers had graduate degrees.
Table 13 shows that the social entrepreneurship tendency only exhibits a significant difference based on family income in the social networks sub-dimension (
p < 0.05). The significant difference was found to be between those with medium-level family income and those with high-level family income (
p = 0.025, Dunnett test). A significant difference was found between those with medium-level family income and those with high-level family income (
p = 0.025, Dunnett test). Accordingly, the social networks sub-dimension score of those with medium-level family income is higher than the score of those with high-level family income.
A significant difference in financial literacy levels was found according to Family income (p < 0.05). A significant difference was found between those with low family income and those with high family income (p = 0.030, Dunnett test) and between those with medium family income and those with high family income (p = 0.024, Dunnett test). Accordingly, the financial literacy score of those with low family income is higher than that of those with high family income. Similarly, the financial literacy score of those with medium family income is higher than that of those with high family income.
Table 14 shows that there is no significant difference in social entrepreneurship tendencies and their sub-dimensions based on whether there is an entrepreneur in the family (
p > 0.05). Financial literacy was found to show a significant difference based on whether there was an entrepreneur in the family (
p < 0.05). The reason for this significant difference is that the financial literacy scores of participants with entrepreneurs in their families were higher than those of participants without entrepreneurs in their families.
The analysis conducted to determine whether financial literacy and social entrepreneurship tendency and its sub-dimensions showed significant differences according to socio-demographic characteristics revealed that hypotheses H5, H8, H9, and H11 were partially accepted, while hypotheses H6, H7, and H10 were rejected.
The results of the hypothesis testing are summarized in
Table 15, which presents the relationships among the sub-dimensions of social entrepreneurship tendency, the effect of financial literacy, and the differences according to socio-demographic characteristics.
5. Discussion and Conclusions
The present study examined the relationship between financial literacy and social entrepreneurship tendency among students enrolled at a Turkish public university. In addition, it explored how students’ financial literacy levels and social entrepreneurship tendencies, as well as their sub-dimensions, varied according to socio-demographic characteristics.
Descriptive analyses indicated that participants’ financial literacy and social entrepreneurship tendency were moderately above average. The sample was predominantly composed of female students aged 18–21, primarily in their third and fourth years of study, with average academic achievement. Regarding parental background, most participants’ parents had completed elementary or high school education, and family income was generally at a middle level. The majority of participants reported no entrepreneurs in the family.
5.1. Interrelationships Among Social Entrepreneurship Sub-Dimensions
The analysis revealed statistically significant positive relationships among the sub-dimensions of social entrepreneurship tendency. This indicates that positive changes in one sub-dimension (social vision, financial return, innovation, sustainability, or social networks) tend to coincide with increases in other sub-dimensions, confirming the multidimensional coherence of social entrepreneurship. This result supports the conceptualization of social entrepreneurship as an integrated construct rather than a set of independent traits. There are studies in the literature that apply the social entrepreneurship tendency scale to university students. In the research conducted by Paksoy et al. (2019) to examine the effects of personality traits and social responsibility awareness of university students on their social entrepreneurship intention, the social entrepreneurship tendency scale was analyzed in accordance with the original scale through the dimensions of social vision, financial return, innovation, sustainability, and social networks [
34].
5.2. Financial Literacy and Social Entrepreneurship
The present analysis revealed a positive yet modest association between financial literacy and social entrepreneurship tendency among university students. At the sub-dimensional level, financial literacy was significantly correlated with Financial Return, Sustainability, and Social Networks, whereas no statistically significant associations were observed with Social Vision or Innovation. This absence of association may reflect the characteristics of the sample; as students with limited professional experience, participants may not yet have had opportunities to enact behaviors indicative of social vision or innovation in real-world contexts.
Complementary regression analyses further corroborated that financial literacy exerts a statistically significant but modest effect on social entrepreneurship tendency (B = 0.056, p < 0.05; R2 = 0.016), suggesting that while financial literacy serves as a facilitative factor, it is not the primary determinant of socially responsible entrepreneurial behaviors.
These findings are broadly consistent with extant research. Seyrek and Gül (2017) reported that financial literacy did not directly influence entrepreneurial intention but was positively associated with perceiving entrepreneurship as attractive [
63]. Similarly, Kıran et al. (2018) observed no direct effect of financial literacy on entrepreneurial intention among university students, although socio-demographic factors such as gender, academic year, family income, and the presence of entrepreneurs in the family were significant [
64]. In contrast, Ripain et al. (2017) documented a significant positive relationship between financial literacy and entrepreneurial intention in Malaysia [
65]. Ahmad et al. (2025) further demonstrated that while financial literacy did not directly shape entrepreneurial spirit, personal financial management mediated this relationship, underscoring the indirect yet meaningful role of financial competencies in fostering entrepreneurial behaviors [
17]. Koshal et al. (2011) found that demographic variables, including gender, age, and academic year, did not significantly influence economic literacy among Indian MBA students [
66]. Finally, Şirin et al. (2018) identified social entrepreneurship tendencies among university students, with significant differences across sub-dimensions by gender and parental education [
28].
Collectively, these findings suggest that financial literacy contributes indirectly and selectively to social entrepreneurship, particularly through capacities related to economic outcomes, sustainability, and social networking. The results highlight that additional individual, social, and contextual factors are likely more decisive in shaping students’ social entrepreneurship tendencies.
5.3. Socio-Demographic Differences
Analysis of socio-demographic factors revealed that financial literacy levels differ according to gender, class level, parental education, family income, and the presence of an entrepreneur in the family. In this context, striking results have emerged:
Students whose parents completed primary school were found to have higher levels of financial literacy than others. This can be explained by the fact that children of parents with lower levels of education are exposed to financial responsibilities at an early age and develop financial awareness through practical experience.
Students from low-income families were found to have higher levels of financial literacy than others. This can be explained by the fact that, due to economic constraints, they develop budget management and saving behaviors at an early age. The necessity of making financial decisions in daily life may have increased individuals’ financial awareness.
Social entrepreneurship tendency was largely unaffected by demographic variables; however, specific sub-dimensions displayed meaningful variation:
Innovation varied by class level, implying that educational exposure enhances creative problem-solving within social entrepreneurship.
Social networks differed according to class level, academic achievement, and family income, indicating that networking and collaboration capacities are influenced by socio-economic and educational contexts.
Sustainability and social vision were largely unaffected by demographic variables, suggesting that these dimensions may be driven more by generational or cultural norms than by socio-economic status.
5.4. Integration with Literature
The present findings corroborate and extend prior research on the relationship between financial literacy and social entrepreneurship. While previous studies on financial literacy and entrepreneurial intention have reported mixed results, the current study demonstrates that financial literacy exerts a modest yet statistically significant influence on social entrepreneurship tendencies, particularly through its association with resource-oriented and networked sub-dimensions. Seyrek and Gül (2017) and Kıran et al. (2018) emphasized the role of demographic characteristics in shaping entrepreneurial outcomes [
63,
64], whereas Ripain et al. (2017) and Ahmad et al. (2025) highlighted the importance of contextual and mediating factors [
17,
65]. Similarly, Koshal et al. (2011) and Şirin et al. (2018) illustrated nuanced effects of demographic variables on economic and social entrepreneurship competencies [
28,
66]. Collectively, these findings suggest that the integration of financial literacy with experiential learning and network-building interventions may more effectively foster social entrepreneurship among university students.
Prior research also underscores the relevance of contextual and culturally informed perspectives for developing entrepreneurial competencies [
67,
68,
69,
70]. Understanding local norms and values is crucial in promoting socially responsible behaviors and ensuring that educational interventions are relevant to students’ immediate environments.
In the present Turkish university sample, financial literacy demonstrated a statistically significant but modest positive effect on overall social entrepreneurship tendency. Although the total tendency did not vary substantially across socio-demographic characteristics, certain sub-dimensions, specifically Financial Return, Innovation, and Social Networks, exhibited meaningful variation, suggesting that targeted educational and policy interventions could enhance these capacities. Integrating financial literacy with experiential and social learning opportunities could thus better prepare students to engage in socially responsible entrepreneurial activities.
5.5. Limitations and Future Research Directions
These findings should be interpreted in light of the study’s sample limitations: the participants were drawn from a single Turkish university, and the modest effect sizes indicate that financial literacy is supportive rather than primary in shaping social entrepreneurship tendencies. Psychological, social, and contextual factors are likely to play a larger role in determining students’ engagement in socially entrepreneurial behaviors.
Based on the findings, several practical recommendations and avenues for future research emerge. Increasing university students’ awareness of financial literacy and social entrepreneurship remains essential, as these competencies underpin effective participation in economic and social systems. Practical initiatives, including seminars, workshops, panels, and targeted courses, can help strengthen students’ knowledge and skills.
Future research should consider comparative analyses across multiple universities, examine financial literacy’s relationship with other outcomes such as career planning, decision-making styles, problem-solving skills, time management, and emotional intelligence, and explore differences between students who have received formal financial education versus those who have not. Given the limited explanatory power observed in this study and the scarcity of research in this area, the current findings provide a preliminary foundation for guiding subsequent studies aimed at identifying additional factors influencing socially entrepreneurial behaviors among university students.