Development and Pilot Validation of a Measurement Instrument for Supply Chain Risk Management, Supply Chain Resilience, Big Data Analytics Capability, and Organisational Performance in Nigeria’s Downstream Oil Sector

Abstract

The downstream oil and gas sector in Nigeria is highly susceptible to operational disruptions, yet there is a paucity of reliable instruments to measure supply chain risk management (SCRM), supply chain resilience (SCR), big data analytics capability (BDAC), and organizational performance in such contexts. This pilot study aimed to develop and validate a measurement instrument tailored to this high-risk, resource-constrained environment. Items were adapted from established scales in the literature and refined through expert review for content validity and contextual relevance. The instrument was administered to 40 heads of operational units across storage, distribution, and retail outlets. Reliability of reflective constructs was assessed using Cronbach’s alpha and Corrected Item Total Correlation (CITC), while formative constructs were evaluated for multicollinearity using Variance Inflation Factor (VIF) and tolerance statistics. Results indicated satisfactory internal consistency across all reflective constructs (Cronbach’s α ranging from 0.710 to 0.884) and no multicollinearity issues among formative indicators (VIF = 1.013–2.144). Two items were flagged for low CITC but retained for theoretical completeness. The findings demonstrate that the instrument is reliable, contextually appropriate, and suitable for full-scale validation. This study provides a methodological foundation for future empirical research in disruption-prone sectors and contributes a tool for assessing SCRM, SCR, BDAC, and organizational performance in Nigeria’s downstream oil and gas industry.

Keywords: Supply Chain Risk Management, Supply Chain Resilience, Big Data Analytics