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Liner connectivity plays an important role as a determinant in how a country is able to gain access to world markets. Liner shipping as the medium of seaborne transport for import and export of manufactured and semi-manufactured goods plays a significant part in international trade, which in turn potentially contribute towards the prosperity of a country and its surrounding region. Liner Shipping Connectivity Index (LSCI) is one of the most common benchmark to see how well connected a country in global trade, where it consists of five components, namely the number of ships, carrying capacity, ship size, services provided, and the number of companies that deploy container ships calling a country’s ports. This paper aims to tally from the most to the least which LSCI component contributes in improving the shipping connectivity with the most impact, in six Maritime South-East Asian countries, i.e., Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam. By descriptive statistics, correlation analysis, and panel data, this paper finds that the country port’s capacity to accept larger ship size provides the most significant impact towards the improvement of the connectivity in the region. To attract companies to deploy largest ship, the improvement needs to be complemented with the capacity that can meet the expected volume, offering a variety of service, and good turnaround speed at the country’s port. The paper is expected to present not only indicative recommendations on which logistics connectivity initiative needs to be invested first, but also necessary proposals to develop a programme for building the region’s overall logistics industry.

Paper Code: SLC-206

The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.

Outsourcing is recognized as one of the critical factors for efficient execution of pharmaceutical supply chain management (PSCM), and many pharmaceutical companies engage in international outsourcing of services (IOS) to survive in global highly competitive business. Since the key success factors for both domestic & international alliances are partnership characteristics and strategic fit management, but there is no empirical research on this issue in Thai pharmaceutical partnership offshore outsourcing. Therefore, this survey of Thai and foreign companies, both contract providers (CPs) and contract manufacturers (CMs), seeks to indicate significant relationships among both outsourcing strategic fit and partnership types, including outsourcing performance outcome. This research is two-fold. First, the partnership types (Type I, II, & III), the strategic fit types (low fit, moderate fit, and good fit), and their correlations are analyzed. And second, their outsourcing performance (company revenues and growth rates) are presented. The results showed that the most of the Thai pharmaceutical outsourcing manufacturing are classified as the partnership Type II, as well as the moderate strategic fit, and strongly support the relationship between the two models. Both of the companies’ revenue and growth rate could predict the companies’ performances outcome for each of partnership and strategic fit types. However, it is not necessary that the most integrative type of partnership, Type III, will be always the best, because it depends also on the strategic fit between each pair of partners as well.

This paper aimed to examine the relationship between green logistics management (GLM) practices and export intensity of Thai SMEs in food and drinks manufacturing. The research involved carrying out in-depth interviews with ten experts to shed light on factors of GLM practices. The authors used a questionnaire to survey the data amongst 89 SME exporters through purposive sampling with valid 52 responses. The managerial issues related to export intensity, GLM practices, with regards to whether firms followed ISO 14001 and whether they had an employee(s) responsible for environmental management. The findings suggest that greater GLM practices being applied lead to higher export intensity in SME. The results indicate that most SMEs apply GLM practices in all dimensions to gain the benefits from the export market. It also emerged that those following ISO 14001 and/or having an employee(s) were associated with having higher export intensity than those who did not engage in these practices.

The purpose of this paper is to investigate key critical factors for developing transit trade corridors (TTCs) in optimizing trade and logistics performance, taking into account economic, geographic and political concerns among countries in the Northeast Asia region, which have been dynamically developing TTCs to optimize trade and logistics performance in association with development of transport infrastructure in the Greater Tumen Region located in the Northeast Asia.

This research explores key factors affecting the TTC through a comprehensive literature review in tandem with expert survey. Factor analysis, both exploratory and confirmatory, is employed to further investigate the underlying factors affecting more efficient development of a TTC.

This research has drawn eight underlying factors affecting the design of a TTC: development and policy implications; safety, security and political concerns; environmental protection; financing and investment; soft infrastructure; hard infrastructure; geography and landscape; and corridor performance.

This paper has a limited geographical scope of the Northeast Asia. Therefore, more primary data collection would be useful in future work. Development of International trade corridor and TTC is critical in northeast Asia for moving goods through designated geographical paths. The key factors drawn in this paper contributes not only to promoting its related services and information (across borders) with the provision of policy support and related facilities for TTC but also to lowering logistics costs and improving trades in the northeast Asian region. As a result, the countries in the region will accelerate their regional economies in collaboration with international bodies and framework, such as UNDP, Greater Tumen Initiative and One Belt One Road Initiative.

The eight underlying factors the authors identified in this research will be valuable for policy-makers to design TTCs and consequently the research will contribute to regional economies in northeast Asia by establishing efficient trade and transport routes among the countries in the region.

Developing TTCs is a kind of platform and infrastructure to accelerate cargo movements and people movements in the northeast Asia. Users of TTCs will benefit their businesses thanks to an efficient logistics system and lower logistics costs, which result in promoting international and regional trade in the region.

There has not been any research done on factors to consider in developing TTCs in the world, whose consequence is no readily available reference that can support a systematic assessment and decision-making in development of TTCs. The findings of this research provide a helpful reference for policy-makers, potential users and developers of TTCs to refer in planning and developing them.

Nowadays businesses tend to compete with rivals by improving capability to meet customer demands. One of the key to improve logistics efficiency of a firm is to select appropriate supplier. In the past, to select the most suitable supplier, most people evaluated performance by using average performance or variance from historical data but did not mentioned skewness. In other words, skewness impact on supplier performance is ignored by researchers and buyers. In fact, supplier with greatest average performance does not confirm to be the most suitable one because of uncertainties which make its performance skew either to the left or right, i.e., lower or higher than expectation. Therefore, this empirical study aims to discover and determine the important role of skewness on supplier selection problem. After identifying influential criteria on supplier selection, we analyze skewness effect on suppliers’ performance in each criterion by surveying real data of suppliers’ performances. Skewness effect can be rated in 3 levels; no effect, moderately effect, and highly effect. The results show that, there is only one criterion with no skewness effect, which is price. Criteria which have high skewed performance, for both of medium-sized and large-sized buyers, are lead time, product quality and reliability, and on-time delivery. Also, skewness has higher effect on suppliers’ performance of medium-sized buyers than large-sized buyers. The conclusion surprisingly shows that, skewness is the best index to distinguish between good and bad suppliers, while mean is the worst index.

The purpose of this paper is to estimate the economic impact of reducing logistics cost on the demand for port throughput in the context of Association of Southeast Asian Nations’ (ASEAN) regional economic integration and to realize the potential economic gains of the maritime logistics reform in the region.

The main part of this paper is to formulate conversion coefficients for containerized cargo to estimate the impacts of logistics reform on the demand for port throughput. These conversion coefficients, then have been used into a dynamic computational general equilibrium model using Global Trade Analysis Project database to explore the impact of logistics cost.

The study demonstrates that logistics efficiency is a challenge for ASEAN economic integration, providing significant implications for maritime logistics reforms.

This study assumes uniform improvements of 5 and 10 percent in the logistics sector for all countries due to lack of detailed data on the logistics sectors in ASEAN countries.

The findings of this study could help ASEAN policymakers for deeper understanding of efficient maritime logistics in realizing the economic gains from its regional economic integration initiatives.

Although there are many descriptive studies on the importance of logistics efficiency in improving international competitiveness in a country or a region, these are not supported by quantitative assessment in the case of ASEAN. This study addresses the dearth of empirical evidence based on real data on trade and maritime cargo flows. This study contributes to highlighting that ASEAN countries should reform their logistics policies and practices.

Belt and road initiative (BRI) is a transcontinental endeavor strategically connecting supply chains (SCs) and economic infrastructures to ignite business activities and achieve trade benefits. However, the rising global SC failure costs and risks associated with this initiative (owing to unique geopolitical, economic and mega-connectivity involving over 70 countries) necessitate examining BRI SC risks. Yet, research on the subject remains limited, and the purpose of this paper is to address this gap in knowledge.

A two-pronged approach was taken. First, a data sample of 554 articles was analyzed and 178 articles found relevant were used to present a systematic, structured framework of risk factors along operational, economic, financial, social and security dimensions. Then informed by the theory of risk management and supplemented by literature evidence, we have built a BRI SC risk model.

The results presented through the model show that BRI SCs face a combination of risks triggered by operational processes, informational and environmental (PIE) deficiencies. Findings show that lack of risk and liability management, unbalanced risk-sharing partnerships, lack of transparency, inadequate project evaluation, incompatible corporate governance structures and cyber security all pose threats to BRI SCs specifically and SCs in general.

Academically, the results facilitate theory development by identifying and proposing seven risk factors and modeling relationship among them and BRI SC risks outcome. The results also extend application of theory of risk management to SC context.

The findings provide a decision-making tool for managers to assess risk factors in their SCs, thus enabling improved decision making to avoid, mitigate, transfer or accept risks.

Identifies and proposes a set of seven risk factors that drive BRI SC risks. Develops a model of BRI SC risks which help build theory of SC risk management.