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This study explores the main factors considered when shippers and container shipping lines select their import/export and transshipment ports. In the present study, 38 container port selection indices were chosen from the previous research and field interviews. The scores of the 38 items were collected via survey to the three major maritime/port market players: shippers, shipping lines, and container terminal operators. In order to analyze the different priorities imposed on the port selection factors by the three market players, the ANOVA method has been employed. The empirical test shows the different perceptions about port selection attributes among service suppliers and demanders. In addition, the 38 items have been categorized into seven key factors through an exploratory factor analysis. The ANOVA technique was employed again to analyze the perspective differences for the port selection factors among the market players. The results show that there are significant differences among the players assessing the importance of the three port choice factors: liners and terminal operators give more weight to ‘hinterland and terminal basic conditions’ than shippers; terminal operators do not take ‘line operation’ as seriously as carriers and shippers; the factor of ‘terminal operation’ is more significantly considered by liners and terminal operators than by shippers.

Port competition attracted much scholarly attention in Northwest Europe during the 1980s. Following the rise of powerful economies in East Asia, particularly during the 1980s and 1990s, port competition has become an important phenomenon with the top five container ports in the world being located in the region. This paper aims to overview major port competition issues and outlines and analyzes the main alternative methodologies that researchers have employed to address them, referring to 70 items, mostly papers but including a few books and reports

The physical internet (PI) is an emerging logistics and supply chain management (SCM) concept that draws on different technologies and areas of research, such as the Internet of Things (IoT) and key performance indicators, with the purpose of revolutionizing existing logistics and SCM practices. The growing literature on the PI and its noteworthy potential to be a disruptive innovation in the logistics industry call for a systematic literature review (SLR), which we conducted that defines the current state of the literature and outlines future research directions and approaches.

The SLR that was undertaken included journal publications, conference papers and proceedings, book excerpts, industry reports and white papers. We conducted descriptive, citation, thematic and methodological analyses to understand the evolution of PI literature.

Based on the literature review and analyses, we proposed a comprehensive framework that structures the PI domain and outlines future directions for logistics and SCM researchers.

Our research findings are limited by the relatively low number of journal publications, as the PI is a new field of inquiry that is composed primarily of conference papers and proceedings.

The proposed PI-based framework identifies seven PI themes, including the respective facilitators and barriers, which can inform researchers and practitioners on future potentially disruptive SC strategies.

The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.

This study aims to examine the obstacles and approaches to achieving sustainable development in India’s cement solid and hollow brick production business, with a specific emphasis on incorporating the triple bottom line (TBL) concept into strategies for small and medium-sized enterprises (SMEs).

Using the step-wise weight assessment ratio analysis (SWARA)–weighted aggregated sum product assessment (WASPAS) approach, the study prioritized 11 economic, 9 environmental and 14 social sustainability indicators based on information collected from literature and expert opinions.

The study provides valuable insights into the difficulties encountered by SMEs while implementing strategies that focus on the TBL. By putting emphasis on the sustainability criteria, the key areas that require attention to promote sustainability get identified and addressed.

The study’s focus on SMEs in this industry limits its generalizability. To have a more complete picture, future studies may include many areas.

The identified and prioritised sustainability characteristics help small and medium-sized firms (SMEs) design strategies to address sustainable development concerns. The research findings could also inform policymakers and regulatory bodies about the challenges faced by SMEs in the cement and brick production sector regarding sustainability. It could highlight the need for supportive policies and regulations to promote sustainable practices and incentivize SMEs to adopt the TBL approach. The paper can offer practical insights for SME owners and managers on integrating sustainability principles into their business strategies. Actionable recommendations and best practices for enhancing environmental performance, social impact and economic viability within the context of cement and brick production are outlined.

TBL policies improve the sustainability and profitability of small and medium-sized firms (SMEs) and promote environmentally and socially responsible practices that benefit the industry and society. The research paper may facilitate greater engagement and collaboration among various stakeholders involved in the cement and brick production industry, including SMEs, larger corporations, government agencies, non-governmental organizations (NGOs) and local communities. This cooperative approach can encourage open communication, the establishment of trust and coordinated actions to tackle sustainability challenges, ultimately improving social cohesion and collaboration.

This study provides new and valuable insights by investigating the development of TBL strategies in SMEs in the cement solid and hollow brick manufacturing sector in India. The utilization of the SWARA–WASPAS technique brings novelty to research on sustainable development in this field.

This paper is an empirical attempt to verify the interplay between political change, fleet nationality, and the evolution of shipping networks. North Korea offers a good example of a socialist maritime country that has experienced much contrasting geopolitical contexts since 1990. A database of vessel movements between North Korean ports and other ports is analyzed. Main results show differences between North Korean and foreign fleets in terms of traffic (vessel size, age, berthing time) and geographical coverage. South Korean ports tend to play a new role in the reorganization of North Korean-related flows in Northeast Asia.

An examination is made of developments in port dynamics since 1965. Initially, this task is addressed by studying changes in past port patterns using a simple descriptive model to accommodate shifts induced by containerization. Over time these changes have led to the reversal of the concentration and centralization of port activities. Then consideration is given to the behavior of stakeholders active in the contemporary port scene by elaborating a bipolar global-local analytical framework through an invocation of the hybrid concepts of glocalization and loglobalization. This analysis leads to an examination of emerging economies to gauge future trends in port dynamics following the dramatic emergence of China. Finally, there is a discussion of the need to go beyond inter-port competition to comprehend global production-distribution networks by exploring synergies between the supply chain and the total transport network to bring out parallels in the hub-and-spoke structure not only underpinning maritime activities but also air transport and telecommunications.

This research has three objectives: one is to develop measuring criteria for ascertaining performance of customs clearance firms, another is to test reliability and validity of the factors, and the third is to analyze the relationship between customer service and firm performance. This research gathered the data from customs clearance firms. Reliability and validity concerned with the collected data are tested by exploratory factor analysis and confirmatory factor analysis and the relationship between variables is tested by analyzing structural equation modeling. The results are as follows. There are no problems in reliability and validity. According to the result of the analysis, customer service is divided into customer focus, customer needs, customer response and flexibility and performance is classified into customer performance and financial performance. The result of empirical tests is as follows. Customer focus has a positive effect on customer performance and financial performance. Flexibility has a positive effect on both types of performance. This means that firms which have discriminative services and a high level of flexibility through collaboration with customers can achieve high levels of customer performance and financial performance.

In a state capitalist country such as China, an important influence on company reporting is the government, which can influence company decision-making. The nature and impact of how the Chinese government uses its symbolic power to promote corporate environmental reporting (CER) have been under-studied, and therefore, this paper aims to address this gap in the literature by investigating the various strategies the Chinese government uses to influence CER and how political ideology plays a key role.

This study uses discourse analysis to examine the annual reports and corporate social responsibility (CSR) reports from seven Chinese companies between 2007 and 2011. And the data analysis presented is informed by Bourdieu's conceptualisation of symbolic power.

The Chinese government, through exercising the symbolic power, manages to build consensus, so that the Chinese government's political ideology becomes the habitus which is deeply embedded in the companies' perception of practices. In China, the government dominates the field and owns the economic capital. In order to accumulate symbolic capital, companies must adhere to political ideology, which helps them maintain and improve their social position and ultimately reward them with more economic capital. The findings show that the CER provided by Chinese companies is a symbolic product of this process.

The paper provides contributions around the themes of symbolic power wielded by the government that influence not only state-owned enterprises (SOEs) but also firms in the private sector. This paper also provides an important contribution to understanding, in the context of a strong ideologically based political system (such as China), how political ideology influences companies' decision-making in the field of CER.

The purpose of this paper is to develop an original model and a solution procedure for solving jointly three main strategic fleet management problems (fleet composition, replacement and make-or-buy), taking into account interdependencies between them.

The three main strategic fleet management problems were analyzed in detail to identify interdependencies between them, mathematically modeled in terms of integer nonlinear programing (INLP) and solved using evolutionary based method of a solver compatible with a spreadsheet.

There are no optimization methods combining the analyzed problems, but it is possible to mathematically model them jointly and solve together using a solver compatible with a spreadsheet obtaining a solution/fleet management strategy answering the questions: Keep currently exploited vehicles in a fleet or remove them? If keep, how often to replace them? If remove then when? How many perspective/new vehicles, of what types, brand new or used ones and when should be put into a fleet? The relatively large scale instance of problem (50 vehicles) was solved based on a real-life data. The obtained results occurred to be better/cheaper by 10% than the two reference solutions – random and do-nothing ones.

The methodology of developing optimal fleet management strategy by solving jointly three main strategic fleet management problems is proposed allowing for the reduction of the fleet exploitation costs by adjusting fleet size, types of exploited vehicles and their exploitation periods.