IIARD International Journal of Economics and Business Management (IJEBM )
E-ISSN 2489-0065
P-ISSN 2695-186X
VOL. 10 NO. 8 2024
DOI: 10.56201/ijebm.v10.no8Sept.2024.pg211.244
Mohamed Juma Mikanu, Benjamin Mbeba Meli and Lucas Pastory Mwisila
This paper employed the data from the study conducted at Dares Salaam port study investigated about the impacts of container ship waiting times on the shipping business at Dar es Salaam port, Tanzania, as one of the key maritime gateways in East Africa. The port plays a vital role in regional trade and economic development. However, operational inefficiencies, particularly port congestion, have raised concerns about the port's overall efficiency and competitiveness. The paer evaluated on how waiting time affects the shipping business's operational efficiency, financial implications, and schedule reliability. The study employed a mixed-methods approach, combining qualitative and quantitative data from interviews with port stakeholders and quantitative data from port logs and shipping records. The sample comprised 60 respondents, including port officials, shipping companies, logistics providers and maritime experts. Key findings revealed by this paper is that increased waiting times significantly extend ship turnaround times, reduce berth occupancy rates, and lower crane productivity. Financial analysis indicated that waiting time contributed to higher operational costs and revenue loss due to delays and disruptions in the supply chain. Furthermore, the paer shows a strong correlation between waiting and schedule deviations, resulting in decreased on-time arrival rates and increased customer complaints. The findings contributed to the existing knowledge in maritime logistics and port management by providing detailed insights into the operational, financial, and scheduling impacts of waiting times. To enhance the shipping business at Dar es Salaam port, the study recommended implementing advanced scheduling systems, improving port infrastructure, and streamlining customs procedures to reduce waiting times. Additionally, it is suggested by this paper that adopting emerging technologies such as predictive analytics and block
Shipping Business, Shipping waiting time, Operational Efficiency, Financial
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