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Influence of Psychosocial Variables on the Adoption of Digital Credit: An Application to Ivorian SMEs (Revue Française d'Economie et de Gestion)

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Research paperRevue Française d'Economie et de GestionOctober 202624 pages36 min readKouamé Jean-Marc Anoh, Nah Adjoua Elodie KOSSONOU, Yao Dossa Jean KOUADIOOriginal source
Key number
61%
Variance explained by model p.16
Largest segment
147 Commerce
Surveyed microenterprises by sector p.11
What changed
2 doubled
Fintech companies growth in Africa (2020-2024) p.5

Summary

  • SMEs represent 98% of registered companies in Côte d'Ivoire and contribute an average of approximately 20% to GDP, but they face persistent challenges accessing bank financing.p.3
  • Interest rates charged by banking institutions in French-speaking Africa range between 10% and 22%, driving businesses toward alternative options such as digital credit.p.3
  • In Abidjan, 84% of Ivorian SMEs are domiciled, and the survey sample was distributed across trade (147), services (77), agro-food and others (66), and small industry (59).p.11
  • The empirical model explains 61% of the variance in digital credit adoption behavior (R² = 0.61) among Ivorian SME owners.p.16
  • Subjective social norms show a significant positive effect on adoption behavior (β = 0.69; t = 12.81; p < 0.01), whereas perceived risk exhibits a significant negative effect (β = -0.21; t = -3.61; p < 0.01).p.16

Key insights

  1. Subjective social norms represent the strongest determinant of digital credit adoption behavior among Ivorian SME owner-managers.p.16
  2. Perceived risk negatively affects digital credit adoption due to concerns regarding transaction security, data confidentiality, and repayment terms.p.16
  3. An owner-manager's individual attitude toward digital credit does not have a statistically significant effect on adoption behavior (β = 0.04; t = 0.70; p > 0.05).p.16
  4. Perceived behavioral control has no significant effect on digital credit adoption (β = -0.01; t = -0.23; p > 0.05), as widespread smartphone usage and high education levels reduce technical barriers.p.16
  5. The sample of 349 surveyed entrepreneurs features 52.45% women and 47.55% men, demonstrating strong female representation in Ivorian SME ownership.p.13
  6. Orange Bank Africa partnered with GUDE-PME to set up a digital credit facility totaling 1 billion CFA francs aimed at SMEs and artisans in Côte d'Ivoire.p.6
  7. Digital credit loans under the Orange Bank Africa and GUDE-PME partnership typically range between 5,000 and 1 million CFA francs, with special provisions reaching up to 50 million CFA francs.p.6
  8. The majority of surveyed enterprises are young, with 27.94% operating for less than 5 years and 25% operating for 5 to 10 years.p.13

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