Warehousing Optimization and Performance of Logistics Firms in Nairobi City County, Kenya
DOI:
https://doi.org/10.47941/ijscl.4097Keywords:
Warehousing Optimization, Space Utilization, Technology Integration, Logistics FirmsAbstract
Purpose: The general objective of the study is to assess the influence of warehousing optimization and performance of logistics firms in Nairobi City County, Kenya. This study was guided by: Resource-Based View (RBV) theory and Technology Acceptance Model (TAM).
Methodology: This study adopted a descriptive research design and focused on logistics firms in Nairobi City County, Kenya. The unit of analysis comprised 108 registered logistics firms, while the target respondents were supply chain managers and logistics managers with experience in warehousing optimization, yielding a target population of 216 respondents. Using the Krejcie and Morgan sample size determination formula, a representative sample of 139 respondents was obtained. Stratified random sampling was employed to select participants. Primary data were collected using structured questionnaires. A pilot study involving 14 respondents (10% of the sample) was conducted to test the research instrument; these respondents and their data were excluded from the main study. Data were analyzed using SPSS Version 25 through descriptive and inferential statistics, and findings were presented using tables and figures.
Findings: The study concludes that space utilization has a positive and significant effect on performance of logistics firms in Nairobi City County, Kenya. Further, the study concludes that technology integration has a positive and significant effect on performance of logistics firms in Nairobi City County, Kenya.
Unique Contribution to Theory, Policy and Practice: Based on the findings, the study recommends that logistics firms in Kenya should invest in modern logistics technologies such as warehouse management systems, fleet tracking software, and automated inventory management systems. These technologies would improve operational coordination, enhance real-time information sharing, minimize logistical errors, and support timely service delivery.
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