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Cruise traffic has dynamically advanced worldwide over the past two decades. This maritime business and tourism typology is strongly concentrated in several links that comprise the cruise product. With regard to destination regions, the concentration occurs both in the few worldwide destination regions and in the specific ports within a given destination region. Moreover, in a cruise itinerary’s configuration, there is a strong spatial dependence between the ports that comprise it. Taking these into account, the aims of this paper are to identify the current competitive positions of Spanish cruise ports and to explain the different features of the competitive positions obtained.

A sample of 21 Spanish ports is selected to conduct a competitive positioning analysis. The analysis is developed by applying portfolio analysis based on the “growth-share matrix” adapted to the port industry. Moreover, the sample of ports is divided into three groups based on geographical positions of ports on the Spanish coast, and each group is analysed separately.

The three Spanish coastal areas have a behavioural pattern in which few ports concentrate the greater share of the cruising activity. The highest number of competitive positions are mature leader and high potential. In the three Spanish coastal areas, there are ports with these positions. Additionally, there are homeports available in the three coastal areas.

The paper contributes to the research of the cruise industry sector especially from the point of view of cruise ports. The results obtained may be useful to cruise port managers for developing strategies aimed at increasing cruise traffic in a port.

The cruise tourism industry has experienced a positive evolution, with an average annual growth rate in the worldwide number of cruise passengers of 7.84% between 1990 and 2013. This chapter presents an empirical analysis particular to Spanish cruise ports and their associated tourist hinterlands. With regard to cruise ports, an evolution analysis and port portfolio analysis technique using the growth-share matrix for the period 2000–2013 is applied in order to identify the competitive positions of a range of 18 ports in the Spanish Mediterranean coast. While for the tourist hinterland of each port is characterized the geographical area encompassed. The results obtained identify the different competitive positions of ports and the different types of hinterlands characterized.

This paper explores the effect of port's service time, particularly the mean and variability, on shippers' total landed costs to determine the competitive position of the port and derive recommendations for the strategic design of port services.

The competitive position of a port is estimated considering the service level offered to the end-users of the port such as port service time, its variability and its effect on the total landed costs observed by the port users. The proposed methodology is meant to help ports to determine the required service time levels to maintain or gain a competitive advantage against other ports, in terms of attracting common hinterland's customers.

Results show the advantages of considering service levels factors to determine the competitive position of a port, and what are the minimum characteristics required to capture more traffic volumes, that can help port managers to take strategic design decisions to better position the port in the current fierce market.

The proposed methodology is illustrated by considering a case study, which is the Port of Guaymas in Mexico. Data was not directly collected by the port, but based on interviews with shippers and public information, a representative case is presented. Due to a confidentiality agreement with the Port, specific references for most of the data used to estimate the model's parameters are not provided. The analysis is intended to show the potential value of this mechanism and can be used for evaluating the competitive position, from a high-level perspective, of any port to determine potential hinterland by improving the service level of the port.

The existing literature on port choice and port competition has not previously considered the effect of port service levels under the perspective of total landed costs of the users, being this paper a contribution to fulfill this gap.

In recent years, ports have experienced a period of significant growth and development along with intense inter‐port rivalry as a consequence of intermodality and hinterland development. It is therefore vital that port management bodies define and implement suitable strategies. This paper aims to adapt the benchmarking technique to the sphere of ports. Compares the activity of a port with that of its competitors, which is considered to be excellent. This is a strategic approach where consideration of the needs of the client, shipping lines and export‐import companies is the axis of the benchmarking process.

The purpose of this paper is to highlight why service firms have difficulty in establishing channels and how transaction costs increase as a result. The paper shows how such difficulties may be overcome a mechanism that uses service capacity strategically.

The paper uses a case study approach, and conducts a transaction cost analysis of the archival data of a cruise line along with the contract between the cruise line and a tour operator.

The results show that service intermediaries aren't able to take inventory and are unable to demonstrate their commitment. Consequently, both parties would be unwilling to establish a contract. However, commitment can be achieved through the intermediary investing in relationship‐specific assets that it could recover, subject to performance. Similarly, the firm could pledge its capacity for its investment in the specific assets. Such a mechanism aligns the interests of both.

This case analyses an actual contract between two service firms and the issues surrounding it.

As contracts and actual company data of this nature are usually confidential, this paper is useful to provide insights into the process of deliberation and formation of service contracts.

This paper analyses container throughput developments in the East Asia container port system. Throughput evolutions and concentration/deconcentration patterns in the multi-range container port system of East Asia are analysed. The paper also provides a more in-depth qualitative analysis of the reasons underlying the observed trends and results. It is demonstrated that the East Asian port system is undergoing major structural shifts in cargo patterns and is witnessing a cargo deconcentration trend as a result of the rise of the Chinese ports and the relative stagnation of the Japanese range.

This study aims to identify the characteristics of the maritime shipping network in Northeast Asia as well as compare the level of port connectivity among these container ports in the region. In addition, this study analyses the change in role and position of 20 ports in the region by clustering these ports based on connectivity index and container throughput and route index.

This study employs Social Network Analysis (SNA) to delineate the international connectivity of major container ports in Northeast Asia. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to identify each port's connectivity index and container throughput index, and the resulting indexes are employed as the basis to cluster 20 major ports by fuzzy C-mean (FCM).

The results revealed that Northeast Asia is a highly connected maritime shipping network with the domination of Shanghai, Shenzhen, Hong Kong and Busan. Furthermore, both container throughput and connectivity in almost all container ports in the region have decreased significantly due to the coronavirus disease 2019 (COVID-19) pandemic. The rapid growth of Shenzhen and Ningbo has allowed them to join Cluster 1 with Shanghai while maintaining high connectivity, yet decreasing container throughput has pushed Busan down to Cluster 2.

The originality of this study is to combine indexes of SNA into connectivity index reflecting characteristics of the maritime shipping network in Northeast Asia and categorize 20 major ports by FCM.

The significant benefits associated with cruise tourism have mobilized port industry, as progressively, a large number of ports are developing cruise operations. Although increasing cruise traffic is a major goal for cruise ports, homeporting constitutes a strategic target of the majority of ports due to its greater economic benefits for both the port itself and its hinterland. The establishment of homeport traffic in a cruise port is subjected to a variety of port internal and external factors. Taking these into account, the paper aims at defining elements that affect the potential of a cruise port to become a homeport.

A sample of 47 Mediterranean ports is selected to form the basis for the implementation of an ordinal regression model which links the likelihood of ports to attract homeport traffic with seven explanatory variables which emerged from relevant literature and are split in the main categories of ports’ and hinterlands’ characteristics. To fit the model into the paper’s data, ports are divided into three categories based on their homeport cruise traffic.

The results of the empirical model signify that both internal and external factors affect the potential of a port to become a cruise homeport. Concerning the internal factors, adequate infrastructure allowing the facilitation of the last generation of cruise ships and the presence of a private enterprise in ports’ operation seems to foster homeport traffic. Additionally, efficiency in operations seems to be a crucial element. On the other hand, the connectivity of port’s; hinterlands, tourist infrastructure and the level of economic growth are proved to be the hinterlands’ elements which increase the likelihood of a port to attract additional homeport traffic.

The model forms a comprehensive evaluation basis for whether a cruise port should intensify its pursuit of homeport traffic, as the estimated coefficients could support port and local authorities to understand their competitive position against other ports and spot their strengths and weaknesses.

The paper contributes in the research dealing with the identification of crucial elements of homeporting from the port’s point of view. Although, it should be mentioned that previous efforts targeting on revealing the characteristics affecting the homeporting potential of ports mostly have been based on questionnaires and expert judgements or empirical models in which the total – and not the homeport traffic – was used as the dependent variable. With the proposed empirical model, home-porting choice analysis is transferred, on the one hand, from the stated preferences level to the revealed preferences level and, on the other hand, from an indirect to a direct approximation of the issue.

Transshipment points in container transport are a vital part of the functioning and competitiveness of global logistics systems. However, competition between different geographical locations is ongoing and therefore competitive landscape and leading actors are continuously changing. The purpose of this paper is to understand one of world's leading transshipment points, Singapore, and its competitiveness in the future as lower‐cost alternative locations try to challenge its position.

Observations are based and mostly drawn upon qualitative case study interviews among 11 key companies involved in Singapore's transshipment business. Along with this, second‐hand national statistics are used to support the findings.

As Singapore is the largest container sea port in the world, it has several advantages at its disposal to defend its position against the others. These are mainly due to connectivity around the world, and second, the high frequency of these connections. However, even though the customs procedures are generally argued to be smooth and state of the art, in some comments from real life actors, problematic areas and further room for improvement were inferred. Longitudinal statistics from national consensus also show, for example, that the electronics industry transshipment volumes are on the decline, and the main reason could possibly be due to the relocation of manufacturing sites to China or Vietnam, changing in turn the transshipment point in Asia. For future consideration, Singapore should enhance its capabilities in localization of value‐added services or manufacturing while goods are in‐transit, and also invest in technologies enabling higher container fill rates for airline shipments.

In most qualitative research, amount of observations is always limited and this work is not an exception with this regard. However, reliability caveat is tried to be covered with careful selection of interviewed organizations and using second‐hand national statistics to verify the interviewees' inputs.

This research has value for all countries with high‐cost transshipment points, in building their operations to sustain against new lower‐cost entrants. Also, the functioning of global supply chains with respect to cost, lead time and technical capability are better understood through this case study, as all the examples are drawn from real life.

The paper shows how global logistics networks have changed significantly in recent decades, and it is increasingly in line with case study findings after major sea ports such as Dubai and Shanghai have grown into leading position throughout the world.

This research proposes a framework to conceptualise the potential realm of data regarding shipping connectivity for application of data analytics which can be used to generate deeper insights with respect to the state of such linkages and potential areas for practical application.

The study method involved comprehensive presentation of different perspectives of assessing shipping connectivity and levels of data contained within container shipping services and proposed potential application to analyse profitability, performance, competitiveness, risk and environmental impact.

Advances in capabilities to handle large volumes of data offer scope for an integrated approach which utilises all available data from various stakeholders in analyses of liner shipping connectivity. Research shows how different types of data contained in container shipping services are related and can be organised for application of data analytics.

Research implications are offered to shipping lines, port managers and operators and policymakers.

This research presented a conceptual framework that captures the range of data involved in container shipping services and how data analytics can be practically applied in an integrated manner.

This paper is the first in literature to discuss in detail the different levels of data that reside within shipping services that constitute liner shipping connectivity for application of data analytics.