Quantitative analysis of process mapping’s impact on time efficiency in Nigerian supply chains

In today’s dynamic business environment, delays and inefficiencies which are inherent across supply chains have continued to weaken the responsiveness of organizations and tend to reduce customer satisfaction. Many of these challenges stem from fragmented workflows, undocumented procedures, and a lack of coordination between departments, factors that often result in longer lead times, missed deliveries, and higher operational costs. One promising solution is process mapping, a strategic tool that enables managers to visualize workflows, detect bottlenecks, and optimize operations. Despite its growing adoption, there is limited empirical evidence on its direct effect on time efficiency, especially within the Nigerian context.

This study explores how process mapping influences time efficiency in supply chain management (SCM), with a focus on Nigerian firms operating in the manufacturing, retail, and logistics sectors. A quantitative correlational design was employed, and data were collected from 120 SCM professionals through structured questionnaires. The responses were analyzed using SPSS Version 26, applying descriptive statistics, independent samples t-tests, and multiple linear regression.

Results show a significant positive relationship between process mapping and time efficiency (R² = 0.67, p < 0.001). Among the tools evaluated, flowcharts and swim lane diagrams proved most effective in reducing lead time and cycle time. Additionally, employee training and the use of digital mapping platforms such as Lucidchart and Bizagi emerged as strong predictors of improved performance. Organizations that consistently applied these practices reported quicker deliveries, better internal coordination, and fewer operational delays.

These findings offer valuable insights for supply chain managers and policymakers seeking to improve operational agility in resource-constrained environments. The study emphasizes the need to institutionalize process mapping as a routine practice within supply chains to achieve sustainable, measurable improvements in time-based performance.