Supply Chain Integration and Employee Productivity in Maritime Firms in Nigeria

This study investigated the effect of Supply Chain Integration (SCI) on Employee Productivity (EP) in maritime firms in Delta State, Nigeria. The study focused on three dimensions of SCI: Supply Chain Integration Index (SCII), Internal Integration (II), and External Integration (EI), examining how each relates to employee productivity outcomes in a developing regional context. The study was anchored on the Productivity Theory. A descriptive survey research design was adopted. The population of the study comprised 9,540 employees from selected maritime firms, with a sample size of 370 determined using Morgan’s table. Out of the 370 questionnaires distributed, 293 were validly returned, representing a response rate of 79.19%. The research instrument was a structured questionnaire validated by experts and tested for reliability, yielding a Cronbach’s alpha coefficient of 0.79. Data collected were analyzed using descriptive statistics, Pearson correlation, and multiple regression techniques. Findings revealed that SCII and II have significant positive effects on employee productivity, while EI showed a negative but significant effect. Specifically, the regression analysis showed that II had the strongest positive influence on EP (β = 0.749, p< 0.01), followed by SCII (β = 0.227, p< 0.01), while EI had a negative coefficient (β = -0.183, p< 0.05), suggesting possible inefficiencies or trust deficits in external collaboration. It recommends targeted investment in internal systems, enhanced collaboration across departments, and more strategic external partnerships. The findings provide practical insights for policymakers and organizational leaders seeking to optimize employee output through integrated supply chain strategies in similar developing economies.

Article file ID not found.

The authors declare no conflict of interest.

Not applicable

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

This work did not receive any external funding.