3. 2020

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http://10.150.1.119/handle/123456789/2611

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Browsing 3. 2020 by Subject "Clearance Systems"

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    Factors affecting the performance of Rail Cargo Scanner at the new Container Terminal, Mombasa Port
    (KESRA/JKUAT - Unpublished research project, 2020) Nyaranga, Eldina Atieno ; Mumia Benn MINCU, CPA.K
    Electronic cargo scanning was meant to expedite clearance process and thus facilitate trade along the Northern Corridor. It has been reported by International Association of Ports and Harbors that there exist delays in processing logistics and paperwork at the new container terminal in Mombasa port. 22% of ports across the globe have reported delays of six to 24 hours in cross-border road transportation, with some reporting total discontinuation of movement. The general objective of the study was to determine the factors affecting the performance of rail cargo scanner at the new container terminal, Mombasa port. The effect of scanner adaptability, scanner staff capacity and environmental factors on the performance of rail cargo scanner at the new container terminal, Mombasa port were examined. Technological determinism theory, resource-based view theory and systems theory were the basis of this study. Descriptive cross-sectional survey research design was adopted by the researcher. The target population of the study was 824 clearing firms in Kenya as obtained from KIFWA registrations office. The accessible or study population was 316 clearing firms based in Mombasa. A census survey was conducted. Self-administered structured questionnaires were employed to collect data. The letter of introduction was first be obtained from Kenya School of Revenue Administration after which the pilot study was conducted. A pilot test involving 32 employees of clearing firms in Nairobi was conducted. The supervisor was consulted to ensure that that the research questionnaire had met the requirements for content validity and KMO and Bartlett test was also conducted to ensure content validity. Reliability of the research questionnaire was tested using Cronbach’s alpha coefficient. This researcher utilized descriptive statistics for data analysis. The descriptive statistical tools include; frequencies, percentages, means and standard deviations. Product Moment correlation coefficient and multiple regression analysis were the inferential statistical tools that were used for analysis. The data was presented in tables. The findings indicate that enhancing scanner adaptability increases performance of rail cargo scanner at the new container terminal, Mombasa port. The study established that enhancing scanner staff capacity enhances performance of rail cargo scanner at the new container terminal, Mombasa port. It was revealed that that improving environmental factors increases performance of rail cargo scanner at the new container terminal, Mombasa port. This study concludes that scanner adaptability, scanner staff capacity and environmental factors positively and significantly affect performance of rail cargo scanner at the new container terminal, Mombasa port. This study recommends that scanner adaptability, scanner staff capacity and environmental factors should be enhanced in order to improve performance of rail cargo scanner at the new container terminal, Mombasa port.