INTERNATIONAL JOURNAL OF SUSTAINABILITY PRACTICES IN FINANCE, MANAGEMENT, AND ENTREPRENEURIAL STUDIES

Abstract

The implementation of tokenized markets and the function of artificial intelligence (AI) in improving asset value accuracy and fraud detection among service-based companies in Delta State, Nigeria is investigated in this paper. Blockchain-enabled tokenization and artificial intelligence technologies provide chances for enhanced openness, operational efficiency, and financial integrity as digital transformation speeds throughout world marketplaces. Using a standardized questionnaire sent to 103 chosen service-based companies, the study used a quantitative approach with data examined using t-test analysis, Pearson correlation, and descriptive statistics. Results show a modest degree of knowledge and acceptance of tokenized markets; companies which have adopted the technology claim better asset value accuracy. Especially via real-time monitoring and anomaly detection, AI-based systems were proven to be quite successful in spotting and stopping fraud. Nonetheless, among early adopters, technical integration issues—including infrastructure and regulatory limitations—were not statistically significant in restricting uptake. The research comes to the conclusion that while tokenized platforms and artificial intelligence are useful instruments for financial accuracy and risk reducing, more general use calls for targeted awareness, legislative backing, and infrastructure spending. Policy changes, public-private cooperation, capacity development, and ongoing research to facilitate scaled adoption throughout the service industry constitute recommendations.