Authors - Franck W. Boubayi, Regis F. Babindamana, Peter A. Kidoudou Abstract - The adoption of e-commerce remains a major challenge for many enterprises in developing countries, where digital transformation is often constrained by technological, organizational, and regulatory factors. This study investigates the factors influencing e-commerce adoption among Congolese enterprises through the Technology Acceptance Model (TAM). Data were collected from businesses operating in various sectors and analyzed using descriptive statistics and predictive modeling techniques. The findings reveal that although digital technologies are increasingly used in business activities, e-commerce adoption remains limited. Only 35.5% of surveyed enterprises actively engage in online sales, while most organizations continue to rely on social media platforms for promotion and telephone-based order processing. The results also highlight significant cybersecurity gaps: nearly half of the surveyed enterprises do not conduct vulnerability assessments, more than half lack firewall or intrusion detection mechanisms, and 16% have already experienced cyberattacks. In addition, limited awareness of national data protection regulations exposes many businesses to legal and operational risks. The study further shows that artificial intelligence is widely perceived as a strategic opportunity, with 83% of respondents recognizing its potential for business growth and 89% supporting the establishment of an appropriate regulatory framework. Based on the identified determinants, a predictive model is proposed to support decision-making and promote wider adoption of e-commerce in the Congolese context. The findings provide practical insights for policymakers, business leaders, and researchers seeking to accelerate digital transformation while strengthening cybersecurity readiness.
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