Authors :
Andulile Raphael Mwaisaka; Dr. Tumaini Gurumo
Volume/Issue :
Volume 6 - 2021, Issue 12 - December
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/33gQLG9
Abstract :
Logistics operations have an impact on the expenses of international trade and, as a result, the recovery of national economies. Efficient and effective management of logistics performance makes
countries more competitive internationally. The goal of this research was to evaluate the technical efficiency of CCAs that provide cargo clearance services at Dar es Salaam Port, with a focus on the impact of office space (in square meters), staff qualifications, and ICT equipment on technical efficiency.
During the selection of CCAs for inclusion in the study, the researcher used systematic sampling
approaches. Questionnaires and interviews were used to collect data, which was then analyzed using
the Data Envelopment Analysis Programme (DEAP/DEA) version 2.1. DEA uses linear programming
analytical approaches to identify the best input resource solution for the best service output.
Only 9 CCAs out of 63 tested and examined were technically efficient under CRS, accounting for
14% of the total sample, while 54 CCAs out of 63 sampled CCAs, accounting for 86% of the total
sample, were technically inefficient. The research findings, on the other hand, indicated that 12 CCAs,
or 19% of the sampled CCAs, were technically efficient under VRS, whereas 42 CCAs, or 67% of the
63 studied CCAs, were neither technically efficient under CRS nor technically efficient under VRS.
Furthermore, 51% of the 63 CCAs,63% of the 63 CCAs and 62% of the 63 CCAs technical efficiency were attributed to Office space (in square meters), some staff with professional training
in(logistics/shipping) and computers equipment consecutively.
It is recommended that further and detailed studies are necessary to be conducted in the same area where a sample size and time will be increased. Other studies can be conducted to assess the trend
of CCAs technical efficiency for the period of time. Despite of these, studies can be conducted to asses
CCAs allocative efficiency and the optimal resource requirement for optimal service provision.
Logistics operations have an impact on the expenses of international trade and, as a result, the recovery of national economies. Efficient and effective management of logistics performance makes
countries more competitive internationally. The goal of this research was to evaluate the technical efficiency of CCAs that provide cargo clearance services at Dar es Salaam Port, with a focus on the impact of office space (in square meters), staff qualifications, and ICT equipment on technical efficiency.
During the selection of CCAs for inclusion in the study, the researcher used systematic sampling
approaches. Questionnaires and interviews were used to collect data, which was then analyzed using
the Data Envelopment Analysis Programme (DEAP/DEA) version 2.1. DEA uses linear programming
analytical approaches to identify the best input resource solution for the best service output.
Only 9 CCAs out of 63 tested and examined were technically efficient under CRS, accounting for
14% of the total sample, while 54 CCAs out of 63 sampled CCAs, accounting for 86% of the total
sample, were technically inefficient. The research findings, on the other hand, indicated that 12 CCAs,
or 19% of the sampled CCAs, were technically efficient under VRS, whereas 42 CCAs, or 67% of the
63 studied CCAs, were neither technically efficient under CRS nor technically efficient under VRS.
Furthermore, 51% of the 63 CCAs,63% of the 63 CCAs and 62% of the 63 CCAs technical efficiency were attributed to Office space (in square meters), some staff with professional training
in(logistics/shipping) and computers equipment consecutively.
It is recommended that further and detailed studies are necessary to be conducted in the same area where a sample size and time will be increased. Other studies can be conducted to assess the trend
of CCAs technical efficiency for the period of time. Despite of these, studies can be conducted to asses
CCAs allocative efficiency and the optimal resource requirement for optimal service provision.
