Evolving financial practices in family enterprises: The impact of generational dynamics on digital transformation in Jordan
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DOIhttp://dx.doi.org/10.21511/imfi.22(2).2025.12
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Article InfoVolume 22 2025, Issue #2, pp. 141-154
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The adoption of digital financial tools improves financial efficiency, transparency, and governance. However, family-owned businesses in Jordan adopt these tools at a lower rate than non-family businesses, potentially limiting their competitiveness. This study examines the extent of digital adoption, its impact on financial management, and the role of generational involvement.
A survey of 366 businesses (262 family-owned and 104 non-family) across six industries was analyzed using multi-group analysis. Family-owned businesses reported a 31.2% improvement in financial management after adoption, compared to 19.6% in non-family businesses (p = 0.039). Generational involvement increased adoption by 26.5% in family-owned businesses versus 10.8% in non-family businesses (p = 0.015). Cultural resistance hindered adoption in family-owned businesses by 4.5% more than in non-family businesses (p = 0.028). Business size influenced adoption similarly (10.2% vs. 10.1%, p = 0.460). Financial management improvements were slightly lower in family-owned businesses (76.6%) than in non-family businesses (78.2%, p = 0.532). Adoption rates in family-owned businesses were 11.7% lower (p = 0.039). The interaction of business type and generational involvement contributed to a 22.0% increase in adoption (p < 0.01).
These results underscore the importance of phased adoption, digital literacy programs, and intergenerational collaboration in accelerating financial digitalization within family-owned businesses. Addressing cultural resistance is essential for ensuring long-term financial sustainability and competitiveness in Jordan’s evolving economy.
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JEL Classification (Paper profile tab)G30, L26, O33, M15
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References53
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Tables9
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Figures0
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- Table 1. Sample distribution
- Table 2. Descriptive analysis of variables
- Table 3. Correlation matrix
- Table 4. Reliability analysis (Cronbach’s Alpha)
- Table 5. Convergent validity (AVE and sqrt(AVE) values)
- Table 6. Non-linear effects (quadratic effects) analysis
- Table 7. Latent interaction analysis
- Table 8. Regression analysis results for digital financial tool adoption
- Table 9. Multi-group analysis (MGA) results
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