THE EFFECT OF FREIGHT FOWARDING ON PERFORMANCE OF DRY PORTS IN KENYA, A CASE OF INLAND CONTAINER DEPOT, NAIROBI

Procurement and Logistics

The aim of the study was to analyze the effects of freight forwarding on the performance of dry ports in Kenya particularly Inland Container Depot Nairobi. Specifically, the study identified factors that contribute to the increased congestion at Inland Container Depot Nairobi. Assessed the effects of freight forwarding practices and assess some of the decongestion strategies that have been put in place by the management and to investigate factors hindering the implementation of the strategies. The key objective of this study were to analyze the effect of freight forwarding practices on performance of dry ports. The focus of the study was the inland container depot Nairobi. The specific objectives of the study were to analyze the: effect of shipment planning; effect of port facility planning; effect of security planning and effect of custom clearance planning all on the performance of Inland Container Depot Nairobi. The study was limited for academic purposes only and the scope of the study was to get firsthand information on effects of freight forwarding practices on performance of dry ports in Kenya. In the theoretical review of the study the researcher identified the following theories; agency theory where the principal delegates duties to the agent. Supply chain network theory which describes the relationship between the companies with the supply chain. Goldratts theory of constrains which explains the impact of supply chain decision on time and profitability and stakeholder theory which explains how a businesses like the dry ports works and how it could work. In gathering out the data the researcher used a descriptive design. This entailed the use of structured questionnaire, which entailed the aspect of asking questions in a prescribed form and order. The study used purposive sampling technique to establish respondents in the strata. The exact sample size was 55 and the population size 120. Data collected was analyzed using SPSS version 21.0 and presented in percentages, means, standard deviations, and frequencies. Quantitative data was analyzed using descriptive statistics and qualitative data was analyzed using content analysis. Qualitative data was analyzed by setting responses for respondents based on which response that has been repeated several times. Quantitative data was analyzed using descriptive statistics such as mean, standard deviation and measures of central tendency which were presented in form of tables

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