This research explores the design and implementation of an AI-driven Single Window system for international trade,aimed at enhancing data integration,risk assessment,and decision-making processes.The study focuses on ...This research explores the design and implementation of an AI-driven Single Window system for international trade,aimed at enhancing data integration,risk assessment,and decision-making processes.The study focuses on developing a modular,scalable architec-ture that integrates various AI technologies,including machine learning and natural lan-guage processing(NLP),to address inefficiencies in existing systems.The proposed system demonstrates improvements in customs clearance efficiency,risk detection accuracy,and supply chain management.Through detailed case studies,the effectiveness of the AI-driven Single Window system is evaluated,highlighting its impact on port management,interna-tional logistics,and overall trade facilitation.The findings suggest that the integration of AI into Single Window systems can lead to significant advancements in trade efficiency,transparency,and stakeholder collaboration.展开更多
This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural ...This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural language processing,and predictive analytics can improve the efficiency and effectiveness of trade processes.Case studies of Singapore and Australia are analyzed to highlight successful AI applications and key lessons learned.The study discusses the benefits,including increased efficiency,reduced costs,enhanced accuracy,and improved user experience,alongside the challenges posed by technical com-plexities,legal and ethical considerations,and resistance to change.The paper also pro-vides policy implications and recommendations for governments,international organiza-tions,and private sector stakeholders.Future research directions emphasize emerging AI technologies like AI-driven blockchain and advanced NLP,and their potential long-term impacts on global trade dynamics.展开更多
This study evaluated the impact of Ghana’s Integrated Customs Management System (ICUMS), implemented within the National Single Window initiative, on the efficiency of issuing Delivery Orders (DO) at Tema Port. Filli...This study evaluated the impact of Ghana’s Integrated Customs Management System (ICUMS), implemented within the National Single Window initiative, on the efficiency of issuing Delivery Orders (DO) at Tema Port. Filling a gap in the existing literature, the research employed a quantitative approach to assess a specific time-related aspect of the cargo clearance process. Employing an Independent t-test on a dataset spanning 2026 Delivery Orders (924 pre-ICUMS and 1102 post-ICUMS) from July 2020 to July 2023, the study investigated ICUMS’s effectiveness in reducing DO issuance time. Results indicate a noteworthy decrease in average DO issuance time, from 11 days pre-implementation to approximately 9 days post-implementation, a reduction validated by statistical analysis through the independent t-test. In light of these findings, the study recommends ongoing refinement of the implementation, reinforcement of trade facilitation measures, and the adoption of best practices from successful global ports. Continuous stakeholder training and regular assessments of ICUMS performance are also endorsed. The study’s implications support the theoretical framework for Single Window systems and carry significant policy implications, emphasizing the need for collaborative efforts to streamline trade facilitation processes driven by Information Technology. Practically, the results serve as a management tool for stakeholders, highlighting areas for targeted interventions to reduce DO issuance times. Methodologically, this research contributes by applying robust statistical analysis to a specific component within the Time Release Study framework, offering a nuanced understanding of trade facilitation systems’ effectiveness in improving cargo clearance processes.展开更多
The rapid evolution of international trade necessitates the adoption of intelligent digital solutions to enhance trade facilitation.The Single Window System(SWS)has emerged as a key mechanism for streamlining trade do...The rapid evolution of international trade necessitates the adoption of intelligent digital solutions to enhance trade facilitation.The Single Window System(SWS)has emerged as a key mechanism for streamlining trade documentation,customs clearance,and regulatory compliance.However,traditional SWS implementations face challenges such as data fragmentation,inefficient processing,and limited real-time intelligence.This study proposes a computational social science framework that integrates artificial intelligence(AI),machine learning,network analytics,and blockchain to optimize SWS operations.By employing predictive modeling,agentbased simulations,and algorithmic governance,this research demonstrates how computational methodologies improve trade efficiency,enhance regulatory compliance,and reduce transaction costs.Empirical case studies on AI-driven customs clearance,blockchain-enabled trade transparency,and network-based trade policy simulation illustrate the practical applications of these techniques.The study concludes that interdisciplinary collaboration and algorithmic governance are essential for advancing digital trade facilitation,ensuring resilience,transparency,and adaptability in global trade ecosystems.展开更多
Eradicating tuberculosis in human immunodeficiency virus is all the more important to realise India’s ambitious goal of tuberculosis free India by 2025.Although,continuous efforts are being made to address tuberculos...Eradicating tuberculosis in human immunodeficiency virus is all the more important to realise India’s ambitious goal of tuberculosis free India by 2025.Although,continuous efforts are being made to address tuberculosis in human immunodeficiency virus co-infection,it is imperative to closely monitor the implemented strategies,encourage and validate disease notification system in the country,and bring about societal change to view this disease as an ailment only and not as a stigma.展开更多
The EWTC （East-West Transport Corridor） in the Southem part of the Baltic Sea Region includes more effective testing area of new business models for collaborative logistics flows. Since the EWTC is a corridor requir...The EWTC （East-West Transport Corridor） in the Southem part of the Baltic Sea Region includes more effective testing area of new business models for collaborative logistics flows. Since the EWTC is a corridor requiring transport mode interchanges due to crossing the Baltic Sea, development of intermodal transport solutions making different transport modes fully integrated along the corridor is a key issue for the EWTC. To meet an increased global transport demand, ports and intermodal terminals need to make sure that their facilities are prepared for growth. Thus, for ports in the EWTC it is important to offer the services necessary for handling the maritime freight services （container ships, RoRo ships, railway ferries） demanded by transporters and transport buyers. IT services are needed to support transportation activities along the corridor. This is especially important for the EWTC due to its physical nature, interchange points, multi-language and cross boarder interaction. Information on a constantly updated traffic situation and interchange status, tracking of goods, booking and confirmation services, intelligent truck parking and services opening faster border crossing routes would ensure more efficient transportation and handling thereofi It is expected that the outcomes of the recently completed eMAR project will help to develop a modem Klaipeda Seaport community system as well as effective management architecture along the EWTC based on the CSW （Corridor Single Window） approach.展开更多
Most ports around the globe have adopted ICT in a bid to improve their operational performance and remain competitive in the industry. However,</span></span><span><span><span style="fon...Most ports around the globe have adopted ICT in a bid to improve their operational performance and remain competitive in the industry. However,</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> ports in developing economies still grapple with challenges associated with manual terminal operation. This paper evaluated the level of application</span><span style="font-family:Verdana;"> and integration of Information and Communication Technologies (ICT) and fac</span><span style="font-family:Verdana;">tors limiting their use in terminal operations in Nigerian seaports. The data for the study were obtained from copies of structured Likert scaled questionnaire administered to a random sample of terminal operators, stevedores, </span><span style="font-family:Verdana;">shipping companies’ agents, Customs licensed Clearing and Forwarding</span><span style="font-family:Verdana;"> agents (C&F) operating in Apapa and Tincan Island ports in Nigeria. Specifically, opinion of these respondents was sought on extent of ICT application, inte</span><span style="font-family:Verdana;">gration and perceived constraints to ICT use in port terminal operations.</span><span style="font-family:Verdana;"> Based on our findings using statistical model tests of proportion, the respondents stated that significant level of ICT procedures and processes have been adopted in port terminal operations. In terms of ICT applications, we found that electronic data and communication exchange applications were available in the terminals for use by the respondents. There are also in place ICT applications for warehouses and storage facilities management and e-payment </span><span style="font-family:Verdana;">systems. However, significant constraining factors were found to be: low ICT</span><span style="font-family:Verdana;"> investment budgetary allocation, lack of e-skilled manpower and poor equipment maintenance culture. Other limiting factors were lack of integrated ICT facilities operated by other port stakeholders and absence of Port Community Systems network (PCS) linking all other relevant interests connected to terminal operations. Policy implications of our findings were discussed.展开更多
This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP)...This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP),and predictive analytics,the study demon-strates how AI-driven systems can optimize risk assessment,automate document process-ing,and detect trade anomalies.Case studies illustrate the successful implementation of AI-based solutions in enhancing customs efficiency,reducing processing times,and im-proving decision-making accuracy.The research identifies key challenges,including data quality,interoperability,and ethical considerations,and proposes future directions,such as integrating blockchain with AI and developing explainable AI models.展开更多
文摘This research explores the design and implementation of an AI-driven Single Window system for international trade,aimed at enhancing data integration,risk assessment,and decision-making processes.The study focuses on developing a modular,scalable architec-ture that integrates various AI technologies,including machine learning and natural lan-guage processing(NLP),to address inefficiencies in existing systems.The proposed system demonstrates improvements in customs clearance efficiency,risk detection accuracy,and supply chain management.Through detailed case studies,the effectiveness of the AI-driven Single Window system is evaluated,highlighting its impact on port management,interna-tional logistics,and overall trade facilitation.The findings suggest that the integration of AI into Single Window systems can lead to significant advancements in trade efficiency,transparency,and stakeholder collaboration.
文摘This paper explores the role of Artificial Intelligence(AI)in enhancing trade facilitation through its integration with Single Window Systems(SWS).It investigates how AI tech-nologies such as machine learning,natural language processing,and predictive analytics can improve the efficiency and effectiveness of trade processes.Case studies of Singapore and Australia are analyzed to highlight successful AI applications and key lessons learned.The study discusses the benefits,including increased efficiency,reduced costs,enhanced accuracy,and improved user experience,alongside the challenges posed by technical com-plexities,legal and ethical considerations,and resistance to change.The paper also pro-vides policy implications and recommendations for governments,international organiza-tions,and private sector stakeholders.Future research directions emphasize emerging AI technologies like AI-driven blockchain and advanced NLP,and their potential long-term impacts on global trade dynamics.
文摘This study evaluated the impact of Ghana’s Integrated Customs Management System (ICUMS), implemented within the National Single Window initiative, on the efficiency of issuing Delivery Orders (DO) at Tema Port. Filling a gap in the existing literature, the research employed a quantitative approach to assess a specific time-related aspect of the cargo clearance process. Employing an Independent t-test on a dataset spanning 2026 Delivery Orders (924 pre-ICUMS and 1102 post-ICUMS) from July 2020 to July 2023, the study investigated ICUMS’s effectiveness in reducing DO issuance time. Results indicate a noteworthy decrease in average DO issuance time, from 11 days pre-implementation to approximately 9 days post-implementation, a reduction validated by statistical analysis through the independent t-test. In light of these findings, the study recommends ongoing refinement of the implementation, reinforcement of trade facilitation measures, and the adoption of best practices from successful global ports. Continuous stakeholder training and regular assessments of ICUMS performance are also endorsed. The study’s implications support the theoretical framework for Single Window systems and carry significant policy implications, emphasizing the need for collaborative efforts to streamline trade facilitation processes driven by Information Technology. Practically, the results serve as a management tool for stakeholders, highlighting areas for targeted interventions to reduce DO issuance times. Methodologically, this research contributes by applying robust statistical analysis to a specific component within the Time Release Study framework, offering a nuanced understanding of trade facilitation systems’ effectiveness in improving cargo clearance processes.
文摘The rapid evolution of international trade necessitates the adoption of intelligent digital solutions to enhance trade facilitation.The Single Window System(SWS)has emerged as a key mechanism for streamlining trade documentation,customs clearance,and regulatory compliance.However,traditional SWS implementations face challenges such as data fragmentation,inefficient processing,and limited real-time intelligence.This study proposes a computational social science framework that integrates artificial intelligence(AI),machine learning,network analytics,and blockchain to optimize SWS operations.By employing predictive modeling,agentbased simulations,and algorithmic governance,this research demonstrates how computational methodologies improve trade efficiency,enhance regulatory compliance,and reduce transaction costs.Empirical case studies on AI-driven customs clearance,blockchain-enabled trade transparency,and network-based trade policy simulation illustrate the practical applications of these techniques.The study concludes that interdisciplinary collaboration and algorithmic governance are essential for advancing digital trade facilitation,ensuring resilience,transparency,and adaptability in global trade ecosystems.
文摘Eradicating tuberculosis in human immunodeficiency virus is all the more important to realise India’s ambitious goal of tuberculosis free India by 2025.Although,continuous efforts are being made to address tuberculosis in human immunodeficiency virus co-infection,it is imperative to closely monitor the implemented strategies,encourage and validate disease notification system in the country,and bring about societal change to view this disease as an ailment only and not as a stigma.
文摘The EWTC （East-West Transport Corridor） in the Southem part of the Baltic Sea Region includes more effective testing area of new business models for collaborative logistics flows. Since the EWTC is a corridor requiring transport mode interchanges due to crossing the Baltic Sea, development of intermodal transport solutions making different transport modes fully integrated along the corridor is a key issue for the EWTC. To meet an increased global transport demand, ports and intermodal terminals need to make sure that their facilities are prepared for growth. Thus, for ports in the EWTC it is important to offer the services necessary for handling the maritime freight services （container ships, RoRo ships, railway ferries） demanded by transporters and transport buyers. IT services are needed to support transportation activities along the corridor. This is especially important for the EWTC due to its physical nature, interchange points, multi-language and cross boarder interaction. Information on a constantly updated traffic situation and interchange status, tracking of goods, booking and confirmation services, intelligent truck parking and services opening faster border crossing routes would ensure more efficient transportation and handling thereofi It is expected that the outcomes of the recently completed eMAR project will help to develop a modem Klaipeda Seaport community system as well as effective management architecture along the EWTC based on the CSW （Corridor Single Window） approach.
文摘Most ports around the globe have adopted ICT in a bid to improve their operational performance and remain competitive in the industry. However,</span></span><span><span><span style="font-family:""><span style="font-family:Verdana;"> ports in developing economies still grapple with challenges associated with manual terminal operation. This paper evaluated the level of application</span><span style="font-family:Verdana;"> and integration of Information and Communication Technologies (ICT) and fac</span><span style="font-family:Verdana;">tors limiting their use in terminal operations in Nigerian seaports. The data for the study were obtained from copies of structured Likert scaled questionnaire administered to a random sample of terminal operators, stevedores, </span><span style="font-family:Verdana;">shipping companies’ agents, Customs licensed Clearing and Forwarding</span><span style="font-family:Verdana;"> agents (C&F) operating in Apapa and Tincan Island ports in Nigeria. Specifically, opinion of these respondents was sought on extent of ICT application, inte</span><span style="font-family:Verdana;">gration and perceived constraints to ICT use in port terminal operations.</span><span style="font-family:Verdana;"> Based on our findings using statistical model tests of proportion, the respondents stated that significant level of ICT procedures and processes have been adopted in port terminal operations. In terms of ICT applications, we found that electronic data and communication exchange applications were available in the terminals for use by the respondents. There are also in place ICT applications for warehouses and storage facilities management and e-payment </span><span style="font-family:Verdana;">systems. However, significant constraining factors were found to be: low ICT</span><span style="font-family:Verdana;"> investment budgetary allocation, lack of e-skilled manpower and poor equipment maintenance culture. Other limiting factors were lack of integrated ICT facilities operated by other port stakeholders and absence of Port Community Systems network (PCS) linking all other relevant interests connected to terminal operations. Policy implications of our findings were discussed.
文摘This research explores the integration of artificial intelligence(AI)in customs clearance sys-tems to enhance trade compliance and border management.By leveraging machine learn-ing(ML),natural language processing(NLP),and predictive analytics,the study demon-strates how AI-driven systems can optimize risk assessment,automate document process-ing,and detect trade anomalies.Case studies illustrate the successful implementation of AI-based solutions in enhancing customs efficiency,reducing processing times,and im-proving decision-making accuracy.The research identifies key challenges,including data quality,interoperability,and ethical considerations,and proposes future directions,such as integrating blockchain with AI and developing explainable AI models.
