Asian Journal of Shipping and Logistics最新文献

Improving the efficiency of operating activities while minimizing the impact on the environment are increasingly prioritized of seaports over stiff competition in global supply chains. Incorporating advanced technologies connected with the fourth industrial revolution, smart port has become a strategic direction towards sustainable development of modern seaports. Consequence, there have been a growing concern over smart port in both academic and practical. Therefore, this study conducts a systematic literature review and a bibliometric analysis evaluating the current research of smart port derived from Web of Science. This study’s findings illustrate that there are three main research themes in the smart port literature in which digitalization and its application in smart port has been a major topic in the smart port literature. Accordingly, this study provides insights into the main trends and future research directions on smart port.

Purpose

Despite several initiatives taken by government of India since 2013 to improve the performance of major ports, growth was not as anticipated. Hence, there is a need to understand the performance of these major ports during 2013–2020 and to identify the critical challenges that affect their performance.

Design/methodology/approach

Performance analysis was conducted using Malmquist productivity index (MPI) and critical challenges were identified using interpretive structural modelling (ISM) technique as well as the cross-impact matrix multiplication (MICMAC).

Findings

Ten major ports in terms of operational, 12 ports in terms of service quality, and six ports in terms of financial performance have been categorised as high performers, based on the MPI values. 19 challenges affecting the performance were identified in an eight layered ISM model.

Research limitations

This research is limited to major ports of India and does not cover the non-major ports of India due to unavailability of data

Practical implications

This study will enable the port decision-makers to identify the ports which are high performers in terms of operational, service quality, and financial performance, and thereby the best practices followed across can be replicated.

Originality/value

This study explored the multi dimensions of performance of Major ports of India and there was no such study in the past. Despite the existence of performance studies in the literature, none of them explored the challenges faced by the major ports.

Air Cargo plays a key role under the global supply chain crisis brought about by COVID-19 pandemic. This study aims to analyze empirically the transport patterns and correlations of key commodities of cold chain in air cargo. We analyzed air cargo O-D data by weight for key commodities including pharmaceutical and coolchain products for top 100 airports in the last 10 years. We analyzed weighted centralities for key cold chain commodities traffic using social network analysis methodology. Whereas previous studies focused on unweighted centrality metrics, this study covered weighted centrality metrics, which represent more accurate empirical situation. The international air cargo networks for cold chain are significantly improved after COVID-19. Comparative analysis of cold chain traffic trends for top 10 international air cargo airports was also performed. The role of top 10 airports in the performance of air cargo transportation was found to be more important, especially in COVID-19 period.

The growth of last-mile delivery in developing countries is featuring the important contribution of crowdshippers. Therefore, exploring the factors affecting the intentions to stay in jobs of the crowdshippers is of great significance to maintain and sustainably develop the last-mile delivery service. Based on the Social Exchange Theory, we hypothesize that benefits (economic benefits, professional reputation, and job autonomy) and costs (risks and stress at work) have an effect on crowdshippers’ intentions to continue participating in last-mile delivery service in Vietnam. We also look for differences in motivations to stay in job between full-time and part-time workers. Survey data from 428 crowdshippers were analyzed using SmartPLS. The research findings indicate that economic benefits and work autonomy (benefits) have positive influences on intention to continue participating in crowd logistics, while risks and job stress (cost) have negative effects on the intention of crowsdhippers to continue their work. In addition, research findings also uncover that differences in motivation (perception of benefits and costs) to stay in job between full-time and part-time workers also affect their intentions. Although reputation did not show a significant impact on the crowdshippers’ intentions to continue participating in crowd logistics, it was discovered that reputation has a positive effect on full-time crowdshippers’ intentions to continue working. Based on the findings of this study, we recommend that businesses increase benefits and reduce costs in job to sustain and increase the continued participation in last-mile delivery.

As smart and environmentally friendly technologies and equipment are introduced in the sea port industry, electric power consumption is expected to rapidly increase. However, there is a paucity of research on the creation of electric power management plans, specifically in relation to electric power consumption forecasting, in ports. In order to address this gap, this study forecasts future electric power consumption in Busan New Port (South Korea's largest container port) and, comparing this with the current standard electric power supply capacity, investigated the feasibility of maintaining a stable electric power supply in the future. We applied a Long Short-Term Memory (LSTM) model trained using electric power consumption and throughput data of the last 10 years to forecast the future electric power consumption of Busan New Port. According to the results, electric power consumption is expected to increase at an annual average of 4.9 % until 2040, exceeding the predicted annual 4.7 % increase in throughput during the same period. Given these results, the current standard electric power supply capacity is forecast to reach only 35 % of demand in 2040, indicating that additional electrical power supply facilities will be needed for stable port operation in the future.

This study aimed to analyze the research trends of inland waterways in the field of logistics by compiling previous studies that contain keywords related to inland waterways. To investigate the research trend, this study used a keyword network among the SNA methodology and deduced results using the concepts of centrality, including degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. According to the results of the comprehensive analysis by each region based on the eigenvector centrality outcome, Europe had a core keyword of modal shift, which refers to the conversion to eco-friendly vehicles due to the exhaust problem of land carriage, as well as the continuously implemented government policy. The results of China showed that the country’s task to solve was on studies aimed at reducing traffic jams in inland waterways using AIS data. In the case of the US, the problems of ship delay remain unsolved owing to old locking facilities and equipment. This study provided academic implications that clarify the state-of-the-art in this research topic in three regions that have advanced inland waterways.

The rapid development of the Internet of Things (IoT) devices led to new era in the maritime and road transportation industry and research. This article studies the critical determinants of Drone delivery services (personal innovativeness, outcome expectancy, positive anticipated emotions, and perceived risk) on customer willingness to use Drone in an emerging economy. The article employs correlation analysis and structural equation modeling (SEM) to analyze the data of 602 valid observations collected in the structured questionnaire survey in Vietnam. Empirical results indicate that outcome expectancy and personal innovativeness positively impact customer attitude and anticipated emotion, while outcome expectancy has the strongest influence. These findings also show that outcome expectancy and personal innovativeness have an effect on customer willingness to use Drone through their positive attitude and positive anticipated emotions. Interestingly, the perceived risk of Drone is considered a moderator in reducing the relationship between customer attitude and willingness to use Drone while it has an insignificant impact on customer emotion and willingness to use.

Currently, inland water transport is the main mode of transport in the Republic of Sakha (Yakutia). The Lena remains the main river connecting Yakutia with the federal transport infrastructure. However, the state of the Republic’s transport infrastructure does not meet the needs of its economy The infrastructure limits the effective realization of the industrial and resource potential and use of the geographical position of the Republic of Sakha. Therefore, to provide an insightful analysis of the factors affecting the logistics of the Lena River, we conducted a detailed analysis of the current problems of the inland waters of the Republic. This article analyzes the logistics of the Lena River and presents an assessment of the problems hindering the process of modernizing the inland water transport of the Republic of Sakha. Analyzing the factors for revitalizing the Lena River logistics through the Interpretative Structural Modeling method revealed the region’s main water transport logistics problems. Through the literature review, 12 key factors affecting the logistics of the Lena River were identified, and interrelationships among them were represented. The results illustrate that inland water transport of the Republic requires the development of transport infrastructure and financial support from the state to implement republican targeted programs. Therefore, this study is important in both academic and practical aspects.

Forecasting container throughput is critical for improved port planning, operations, and investment strategies. Reliability of forecasting methods need to be ensured before utilizing their outcomes in decision making. This study compares forecasting performances of various time series methods, namely autoregressive integrated moving average (ARIMA), seasonal ARIMA (SARIMA), Holt-Winter's Exponential Smoothing (HWES), and the Prophet model. Since forecast combinations can improve performance, simple and weighted combinations of ARIMA, SARIMA and HWES have been explored, too. Monthly container throughput data of port of Shanghai, Busan, and Nagoya are used. The Prophet model outperforms others in the in-sample forecasting, while combined models outperform others in the out-sample forecasting. Due to the observed differences between the in-sample and out-sample forecast accuracy measures, this study proposes a forecast performance metric consistency check approach for informed real-world applications of forecasting models in port management decision-making.

The shipping industry continues to have strong growth prospects due to increased efficiency and economic liberalization. Through seaborne trade, port infrastructure and logistics impact economic growth in developing countries. This makes studying the factors affecting seaborne trade for such countries particularly important. The current paper aims at analyzing the impact of logistics, economic, and demographic variables on seaborne commodity trade between Qatar, Oman, Turkey, Pakistan, and Iran. Employing a gravity model, results show that a 1% improvement in Logistics Performance Index (LPI) consignments in the importing country can result in a 0.8% increase in total trade flows. Based on results, a 1% increase in the tariff rate reduces the value of trade by 0.4%. Furthermore, a 0.5% increase in trade is caused by the increase in population of the destination country. A sensitivity analysis also shows that logistics variables are more significant than economic and demographic variables. It can be concluded that trade policymakers in developing countries can get better results by improving logistics performance and investing on logistics infrastructure leads to more trade.