Ebere Okocha
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Stimulators of third-party logistics performance of supply chains in the Nigerian manufacturing industry
Cajetan Ewuzie , Geraldine Ugwuonah , Victor O. Okolo , Ebere Okocha , Agu Okoro Agu doi: http://dx.doi.org/10.21511/ppm.21(3).2023.14Problems and Perspectives in Management Volume 21, 2023 Issue #3 pp. 176-188
Views: 479 Downloads: 215 TO CITE АНОТАЦІЯThe COVID-19 disruption of supply chains has motivated manufacturing companies in Nigeria to build and maintain supply chain visibility, robustness, and resilience to remain third-party logistics providers. It is vital to have an adequate understanding of third-party logistics performance drivers. Most studies have concentrated on third-party logistics capability, while few others explored the impact of relational governance structures on performance. However, studies examining the synergy between third-party logistics capability and relationship management are scarce. The purpose of this study is to investigate the stimulators of third-party logistics performance in the Nigerian manufacturing industry. A descriptive survey, e-mail questionnaire, and PLS-SEM approach was used to collect and analyze the data from a sample of 364 manufacturing companies in Nigeria. The findings indicated that relationship management has a significant positive association with third-party logistics capability (β= 0.785, t = 3.457, p < 0.001); relationship management has a significant negative association with supply chain risk (β= –0.209, t = 4.149, p < 0.001); third-party logistics capability has a significant negative association with supply chain risk (β = –0.620, t = 3.199, p < 0.001); supply chain risk has a significant negative association with logistics performance (β= –0.695 t = 5.396, p < 0.001). Hence, relationship management, third-party logistics capability, and supply chain risk are drivers of third-party logistics performance. Therefore, supply chain partners should manage their relationships to strengthen third-party logistics capability and reduce all kinds of uncertainties and risks.
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