Asian Journal of Shipping and Logistics最新文献

Indonesia’s inter-island movement of goods relies heavily on sea transportation because it can transport large volumes of goods at a reasonable cost. However, it is challenging to meet the same pricing standards everywhere, particularly for regions located far from the production centres. The government initiated the Motorways of the Sea Program to tackle this issue. Stakeholders in Indonesia’s maritime logistics should be involved in the implementation processes, including the port operators, the shipping industry, and the government as a regulator and infrastructure enabler. However, the democratic, decentralised, and pluralistic nature of Indonesia’s government, culture, and bureaucracy has challenged the implementation of the Motorways of the Sea Program. Based on a systematic map of each stakeholder’s interests, barriers, and expectations, the study used a systems thinking approach to capture the interactions among stakeholders’ activities and policies in the maritime logistics system. A causal loop diagram and a stock and flow diagram were developed to provide a holistic view of the system. Several systemic forces that became the leverages of the system’s performance were identified. The most important factors are infrastructure development, both physical and non-physical infrastructures that include information and communication technology, service procedures, and human capital supporting the service system.

As the three largest central hub cities in the Pearl River Delta (PRD) region, Hong Kong, Guangzhou, and Shenzhen have played critical roles in regional growth. Nevertheless, these ports face many challenges, such as port handling capacity, environmental problems, and the expansion of the complex transportation system owing to the large volume of goods. Therefore, this study used the slacks-based measure–data envelopment analysis (SBM-DEA) and DEA-undesirable models to evaluate the efficiency of the major container terminals in these three cities between 2018 and 2019. Based on the decision-making unit values of the terminals for the past two years, Yantian and Container Terminal 9 (South) were the most efficient, followed by container terminals 6 and 7. Moreover, the efficiency of the major container terminals in Guangzhou was less satisfactory than that of terminals in Shenzhen and Hong Kong. The results provide a reliable reference for future port investment, and regional development policy in the PRD region.

Based on the service quality (SERVQUAL) model and logistics service quality (LSQ) model, this study investigates the antecedents of customer satisfaction with parcel locker services in last-mile logistics. Data were collected from a survey of 321 consumers in China and analyzed using structural equation modeling. The results indicate that timeliness is the strongest predictor that positively impacts customer satisfaction with parcel locker services, while reliability and security are the predictive coefficients for the same, followed by responsiveness and tangibility, respectively. This study enriches the literature on SERVQUAL and LSQ by providing implications for logistics service providers.

Ethical management is not a choice for companies, but a necessity. This study, therefore, filled a need for further research into ethical management. We looked at the factors involved in a company’s employment of an ethical management system and relationships between factors to determine how the subordinate variable, the ethical management system, affects the performance of an enterprise.

In specific, this study identified internal and external factors involved in ethical management systems in Korea’s domestic shipping and port logistics companies. We investigated the impact of these factors on organizational performance variables and each level of the ethical management system.

According to empirical findings, only internal factors such as openness and internal integrity, and external factors such as normative and cognitive environments, had positive effects on the use of an ethical management system. On the other hand, transparency, which is an internal factor, and regulatory environment, which is an external factor, had no positive impact.

This research aims to propose an integrated MCDM model to support the distribution center location selection. The integrated approach of ANP and TOPSIS was employed to address the distribution center selection problem. The ANP method was used to define the weights of the selection criteria, whereas the TOPSIS was applied to rank alternatives. The proposed model was then applied into Dong Nai province in Vietnam to select the best alternatives to be the distribution center. The results showed that Long Khanh is the most appropriate location for the distribution center as it is ranked first in the order of preference for selection. The proposed model provides the decision makers with more powerful methods than conventional ones. Therefore, the model can be applied to distribution center location selection in all industries. In terms of theoretical contribution, the proposed criteria can contribute to literature review in the selection of location as well as the concept of distribution center. In addition, the research also provides insight for firms and public authorities in making decision on distribution center location based on limited resources as well as avoiding the misuse of funds.

Container ports or terminal operators need operational efficiency and effective management to gain global market competitiveness, as world container ships continue to be larger, global shipping alliance reshuffles and becomes larger. This study investigated the effects of integrated operations of the existing separate container terminals using scenario analysis. The scenario analysis is attempted based on actual vessel arrival data on additional effects that Busan New Port can obtain from the use of a infrastructure pool by consolidating all five terminals. The results explain the benefits of terminal consolidation: the reduction of a vessel waiting time, balanced utilization across terminals at the port, and an increase of overall profits to the actors.

Digital transformation and automation in the shipping industry is resulting disruptive changes to ship design, operations, and manning that aim to enhance safety, efficiency, and the environmental sustainability of maritime logistics. While there is growing research interest in these areas, examining the role of human element in the new smart shipping context is largely neglected. Through a systematic literature review, this paper aims to explore the multi-dimensional impact of autonomous shipping technology resulting from the application of Industry 4.0 and future industrial revolutions on seafarers. The impacts include the changing role of seafarers on-board and the strategies required to engage seafarers in their transition from traditional shipping to autonomous and smart shipping. The paper concludes that Industry 4.0 is being challenged for its shortfall in recognition of the importance of human role and its intelligence in the expected current industrial revolution. As a result, there is a demand to look further and beyond Industry 4.0 by introducing the next generation of industrial revolution, namely Industry 5.0. This paper suggests that the impact of this revolution in the maritime industry can be defined by concepts such as Maritime 5.0, Shipping 5.0, Seafarer 5.0, Maritime Education and Training 5.0 (MET 5.0).

As intra-Asian trades grow, businesses in the intra-Asian shipping market have expanded. Subsequently, many shipping liners, which have struggled since 2008, have made inroads into Asia as a new market. Although the intra-Asian trade volume has increased, shipping liners in intra-Asia experience difficulties in their timeliness and excessive competition due to unfavorable weather, as well as changes in global shipping liners’ operational strategies. Hence, this study aims to identify the obstacles faced by Korean intra-Asian shipping liners (KIASL) and suggests solutions using Fuzzy- technique for order preference by similarity to ideal solution (MCDM). As a result of an analysis to weigh these obstacles, an oversupply of ships (0.693) was analyzed as the greatest obstacle to KIASL. As a result of evaluating the obstacles’ impact on each KIASL route, it was determined that the Korea-Singapore (0.870) and Korea-Vietnam (0.583) routes were significantly affected by obstacles. Further, an analysis of measures to overcome these obstacles revealed a high weight for the integration between KIASL (0.168) and support from operating funds (0.152).

Grounded on the Resource Based View (RBV) theory, this paper argues that technological advances and process optimisation through standardisation and centralisation could been used to improve various aspects of port operational performance. Using information and secondary data from the case of Patrick Terminals in Australia, the impacts of the Patrick's Brisbane AutoStrad™ container terminal and National Operations Centre (NOC) on yard design and operations, quay crane deployment, operational productivity, safety, manpower, vessel planning, customer service delivery, invoicing, and process alignment and standardisation, were examined. It was found that the deployment of advanced technology i.e. Brisbane AutoStrad™, bundled with the optimisation of business processes through standardisation and centralisation at the NOC, are valuable and costly-to-imitate tangible and intangible resources which can translate into positive operational performance in terms of better equipment and facility utilisation, higher productivity, reduced costs, and more satisfied customers. This research contributes to strengthen the RBV theory in the context of container terminals management while also provides managerial insights to port managers and policy makers not only in Australian container terminals but also those in Asia, given their growth and competitive position on the global basis.

This paper investigates the predictability of the asset prices of commodity transport (i.e. dry bulk carriers) by testing the shipping Q index as a leading indicator. We employ a comprehensive back-testing procedure with a broad spectrum of benchmark simulations. The shipping Q index (an adaptation of Tobin's Q index) has been introduced to benchmark models to observe predictive gain and interpret predictability features. This study presents a novel hybrid model to forecast time series data. The forecasting ability of the proposed hybrid algorithm is compared to specific univariate time series models, dynamic models, nonlinear models, and widely used hybrid models in the literature. The findings document that not only the proposed hybrid model performs better than the other competitive models in terms of hold out sample forecasting, but also using the shipping Q index improves the forecast accuracy by remarkably reducing forecasting error.