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Over the past two decades, the hub location domain has witnessed remarkable growth, yet no prior study reviewed and synthesised problem formulation and solution methodologies to address real-life challenges.

The current study conducts a comprehensive bibliometric literature review to develop a thematic framework that describes and presents hub location problems. The work employs cluster, bibliometric, and social network analyses to delve into the essential themes.

Key themes include cooperation, coopetition, sustainability, reshoring, and dynamic demand, contributing to the complex challenges in today’s hub location problems. As the first work in this field, the study serves as a valuable single-source reference, providing scholars and industry practitioners with key insights into the evolution of hub location research, prominent research clusters, influential authors, leading countries, and crucial keywords.

Findings have significant implications since they highlight the current state of hub location research and set the stage for future endeavours. Specifically, by identifying prominent research clusters, scholars can explore promising directions to push the boundaries of knowledge in this area.

This work is a valuable resource for scholars in this domain and offers practical insights for industry practitioners seeking to understand the hub location problems. Overall, the study’s holistic approach provides a solid foundation for advancing future research work in the hub location field.

On July 20, 2004, the Securities and Exchange Commission (SEC) published for comment proposed rules under the Investment Advisers Act of 1940 (the Act), which would require many non‐U.S. hedge fund advisers to be registered with the SEC. The proposed rules would require non‐U.S. investment advisers to look through their hedge funds (U.S. and non‐U.S. funds) to count all U.S. investors therein as clients for purposes of the Section 203(b)(3) “private adviser” exemption. The SEC stated in the proposing release that it did not intend the proposed rules to change current policy of substantially limiting the extraterritorial application of the Act to dealings between a registered non‐U.S. investment adviser and its non‐U.S. clients. However, there remains some ambiguity as to the application of this policy, which has been developed over the past 12 years through a series of no‐action letters. In addition, notwithstanding the SEC’s statement in the proposing release, the proposed rules could be read as changing current SEC policy in a couple of respects. This article explains those issues.

This chapter explores the issue of ethnic diversity and race discrimination among elementary school teachers in Ireland. It examines both the historical precedents of this discrimination and uses the current experiences of Immigrant Internationally Educated Teachers (IIETs) living in Ireland to explore the phenomenon contemporaneously. The chapter begins by delineating the historical context of immigration in Ireland and more recent population data. It then explores the relevant legislative provisions to address employment and race discrimination in the Irish context. Owing to the deep-seated and historical origins of the current race discrimination, a particular focus is placed on delineating the evolution of the selection and recruitment of elementary teachers in Ireland imbued with the right to teach in elementary schools. Drawing on data ascertained through semi-structured interviews with a range of IIETs, positioned within the aforementioned analyses of relevant historical documents, the chapter then moves to explore some experiences of IIETs seeking to work in the Irish elementary school system. The chapter analyses these data through a Bourdieuian lens, paying particular attention to ways in which power has been, and continues to be, exercised by the State in regulating access to prestigeful mainstream teaching positions. The chapter proceeds to root these analyses within Kitching’s work on ‘race moves’, arguing that immigrant teachers have been racialized as other on the basis of an absence of proficiency in the Irish language.

This paper aims to investigate the location of regional and international hub ports in liner shipping by proposing a hierarchical hub location problem.

This paper develops a mixed-integer linear programming model for the authors’ proposed problem. Numerical experiments based on a realistic Asia-Europe-Oceania liner shipping network are carried out to account for the effectiveness of this model.

The results show that one international hub port (i.e. Rotterdam) and one regional hub port (i.e. Zeebrugge) are opened in Europe. Two international hub ports (i.e. Sokhna and Salalah) are located in Western Asia, where no regional hub port is established. One international hub port (i.e. Colombo) and one regional hub port (i.e. Cochin) are opened in Southern Asia. One international hub port (i.e. Singapore) and one regional hub port (i.e. Jakarta) are opened in Southeastern Asia and Australia. Three international hub ports (i.e. Hong Kong, Shanghai and Yokohama) and two regional hub ports (i.e. Qingdao and Kwangyang) are opened in Eastern Asia.

This paper proposes a hierarchical hub location problem, in which the authors distinguish between regional and international hub ports in liner shipping. Moreover, scale economies in ship size are considered. Furthermore, the proposed problem introduces the main ports.

Locating hub facilities is important in different types of transportation and communication networks. The p‐Hub Median Problem (p‐HMP) addresses a class of hub location problems in which all hubs are interconnected and each non‐hub node is assigned to a single hub. The hubs are uncapacitated, and their number p is initially determined. Introduces an Artificial Intelligence (AI) heuristic called simulated annealing to solve the p‐HMP. The results are compared against another AI heuristic, namely Tabu Search, and against two other non‐AI heuristics. A real world data set of airline passenger flow in the USA, and randomly generated data sets are used for computational testing. The results confirm that AI heuristic approaches to the p‐HMP outperform non‐AI heuristic approaches on solution quality.

This research presents a multiproject scheduling and resource management (MPSRM) model that includes an M/M/c/n queue system, a p-hub median model, a parallel machine scheduling and a hub location problem solution method. This research aims to design a project network and then sequence raw materials delivery to hub factories.

This research is implemented as a case study in construction and industrial company. It considers several mines to supply raw materials for production in hub factories. In the sequencing phase, a parallel mine scheduling problem specifies the delivery of raw materials to hub factories. Furthermore, a multisource project scheduling model is studied and designed for building project-oriented companies.

The results suggest that the proposed MPSRM model in this study significantly reduces project transportation costs. Therefore, creating accurate planning in projects, especially in construction projects where transportation plays an important role, can help reduce time and costs. Researchers, project managers and those dealing with projects can use this model to exploit their projects.

When the number of construction projects in a construction company increases in a region, choosing an appropriate strategy to supply resources and raw materials becomes very important in terms of profit and loss and project completion as scheduled. An increase in transportation demands alongside the economic development on the one hand and providing competitive transportation services, on the other hand, have increasingly spotlighted the significance of hub networks in transportation systems. In addition, in this research, there is no suitable access road from the mines to the project sites, and considering the workload, if any of the projects become a hub, a proper road should be built.

To the best of the knowledge, there is no outstanding research in which a p-hub median location problem by considering queuing model and different transportation modes and a parallel machine scheduling problem are studied simultaneously.

Sustainable transport has become a new paradigm offering efficient, equitable, and pro-environment transport services. Many intermodal freight systems, especially those for port-to-rail networks, consist of multiple routes starting from and ending at the same port in order to exploit economies of scale. It is of interest to railway operators, therefore, to improve the efficiency of the system by finding the optimal fleet size (the number of cars assigned to a route) and frequency for each route. This paper proposes a model which determines the optimal frequency of each route under the total fleet size constraint for the one-to-many distribution. Trains carry items from one port to their destinations on their predetermined routes. This paper focuses on situations in which items from one port are transported to many destinations via railroads. The tradeoffs between transportation and inventory costs determine optimal frequency under the total fleet size and capacity constraints. The optimal frequency and fleet size of each route are calculated and then updated at the end of each step of the model. The model that we have developed in this paper is validated by port-to-rail freight data from actual shipments in Korea. The results of the analysis show that the proposed model can provide a more reliable and realistic representation of the real one-to-many distribution than the other alternatives which are commonly used. This study not only forms the theoretical basis of an effective and rational freight operation, but it also contributes to the assessment of the existing and planned logistics systems.

The purpose of this paper is to review the literature on peripheral ports, hub ports and concentration – deconcentration factors. This is an issue, as investments in port development in more peripheral locations are challenging due to the difficult financial situation currently faced by the maritime industry.

This paper presents a narrative literature review focusing on peripherality in the context of seaports and transport. Moreover, it gathers the reasons why ports concentrate–deconcentrate, and how these factors evolve over time.

This paper develops a future research agenda for peripheral ports.

The paper provides insights for ports in developing countries in their efforts to upgrade their port facilities and infrastructure.

This paper contributes to the research on ports in peripheral locations which have been under studied compared to larger hub ports.

The purpose of this paper is to investigate how social network capital may facilitate agricultural household market access in Uganda. Specifically, the paper investigates if social network capital has significant positive effects on the ability of households to receive higher prices for coffee.

In this paper, social network capital is modeled using a household utility maximisation problem that is dependent on consumption and social interactions. The authors assume that social network capital mediates economic benefits through its effect on information flow, market intelligence and collective bargaining. The paper uses two-stage least square econometric methods to investigate whether group involvement at the household level helps farmers to access markets with higher prices.

The findings indicate that social network capital, measured in form of density of participation and attendance score, and multiplicative and additive indices of these, have significant positive effects on the ability to receive higher prices for coffee.

The authors realise that several weaknesses in the approach could compromise the validity of the findings. These weaknesses include: the cross-sectional nature of the data, the omitted variable bias, the endogeneity concerns of social capital, sample size and the dimensions that the paper choses to capture social network capital. Future research should explore the factors that can help households to engage more in group activities.

The findings have important implications for government policy especially in areas of agricultural development and poverty reduction. Specifically, governments should pay close attention to various social groups as they can serve as important channels to achieve better market outcomes, as is the for coffee prices in rural Uganda.

Many governments in Sub Saharan Africa are constrained to provide basic public goods to the people. This is due to a combination of limited budgets and lack of good leadership. In such circumstances, the people have to rely on their collective/social effort to take advantage of markets opportunities. Such opportunities can be accessed using the existing social structures whose norms and the trust between members permit cooperation.

The study contributes to a small but growing empirical literature on social groups and how they can mediate social economic outcomes especially for rural households. The empirical estimations take into consideration the endogeinety concerns associated with social network capital. The paper will be useful for policy makers and researchers who may have a keen interest in the roles that group activities play in agricultural development and poverty reduction.