Blockchain Technology and Data Accuracy in Nigerian National Petroleum Company Exploration & Production Limited (NEPL) Supply Chain Management, Benin City

Blockchain technology is increasingly recognised for its ability to enhance transparency, reliability, and accuracy in supply chain operations. This study examined the influence of blockchain adoption on data accuracy within the supply chain management system of the Nigerian National Petroleum Company Exploration & Production Limited (NEPL), Benin City. Four blockchain constructs data integrity, transaction accuracy, error rate reduction, and data security were assessed as predictors of data accuracy. Data accuracy was measured using seven Likert-scale items evaluating the correctness, uniformity, and reliability of supply chain records. A descriptive survey research design was adopted, and a sample of 138 respondents was determined using the Taro Yamane formula. Data were collected through a structured questionnaire and analysed using descriptive statistics, reliability tests, and multiple regression analysis. Findings revealed that data integrity (β = 0.322, p < .001), transaction accuracy (β = 0.276, p = .002), error rate reduction (β = 0.241, p = .007), and data security (β = 0.295, p = .001) each significantly enhanced data accuracy. Collectively, the predictors explained 70.8% of the variance in data accuracy. The study concludes that blockchain adoption substantially improves data accuracy in NEPL’s supply chain operations. It recommends institutionalising blockchain systems, building staff capacity, and strengthening regulatory support.