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Logistics Planning Performance Model for Improving Offshore Operations in the Gulf of Guinea

Ejem Ejem A. (), Oworo Uzodimma A. (), Aikor Timothy S. (), Obieche Precious N. () and Ogbonnaya Blessing N. ()
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Ejem Ejem A.: Federal University of Technology, Department of Logistics and Supply Chain Management, Owerri, Imo State, Nigeria
Oworo Uzodimma A.: Federal University of Technology, Department of Logistics and Transport Technology, Owerri, Imo State, Nigeria
Aikor Timothy S.: Federal University of Technology, Department of Logistics and Supply Chain Management, Owerri, Imo State, Nigeria
Obieche Precious N.: Federal University of Technology, Department of Logistics and Supply Chain Management, Owerri, Imo State, Nigeria
Ogbonnaya Blessing N.: Federal University of Technology, Department of Logistics and Supply Chain Management, Owerri, Imo State, Nigeria

LOGI – Scientific Journal on Transport and Logistics, 2025, vol. 16, issue 1, 140-151

Abstract: This paper aims to develop a model for measuring logistics performance using logistics planning variables. Principal component analysis and structural equation modeling were applied to evaluate data from a sample of 360 senior/middle managers working in various offshore logistics companies, randomly selected from among Nigerian logistics workers. The results show that logistics planning positively impacts profitability by strengthening disaster resilience and business continuity procedures. Additionally, the research indicates that a company can maintain both efficiency and risk management by implementing effective planning procedures, which are a crucial component of logistics planning. Logistics service providers involved in offshore operations should pay close attention to the following: identifying emergency contacts for logistics-related incidents, assessing the level of risk that the company can tolerate in its logistics operations, determining when to revisit continuity plans for logistics processes, evaluating these continuity plans effectively, ensuring adequate training for employees involved in their preparation, earnings before taxes with competitors, and tracking the pace of recovery from disruptions relative to competitors.

Keywords: Logistics; performance model; competitive abilities; logistics service providers and offshore (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:16:y:2025:i:1:p:140-151:n:1013

DOI: 10.2478/logi-2025-0013

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