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The purpose of this paper is to identify the key drivers and challenges to supply chain collaboration in the humanitarian sector; to appraise the relationships between international non-governmental organizations (INGOs) and local non-governmental organizations (LNGOs) during disaster relief; and to explore the humanitarian context in regard to supply chain collaboration.

Literature from both the commercial and humanitarian sectors is discussed in the context of vertical partnerships. A Jordanian study spanning a network of 26 international and LNGOs is explored via semi-structured interviews.

The research provides valuable insights on the challenges facing LNGOs and INGOs when developing partnerships. Contextual factors, including host governmental policies and the social-economic setting of a disaster directly affect the motivations for supply chain collaboration between LNGOs and INGOs.

The research is built on interviewees with 30 humanitarian professionals working in one country during an extended crisis. The majority of the empirical data are only from one actor’s perspective, thus further research into dyadic and network relationships is required. Approaches to addressing the diverse cultural and decision-making perspectives of LNGOs and INGOs warrant further investigation.

Recognizing the motives and challenges to vertical partnerships between LNGOs and INGOs will assist the managers, both at the strategic and operational levels, to find solutions and evolve strategies to build effective partnerships. Compromise and consideration for partner’s drivers and cultural views are essential for effective joint humanitarian relief initiatives.

This paper extends supply chain collaboration to a humanitarian context. Overcoming the challenges facing collaborative efforts and complementary nature of the drivers provide a means to achieve effective partnerships. Despite the uniqueness of the humanitarian context, such as the secondary nature of cost and dynamic demand, the core principles of collaboration still hold.

The purpose of this paper is to examine the accessible tourism market potential, alongside the implications of operating in the accessible tourism market and an assessment of major travel and leisure company involvement. The research focused on providing a market value forecast using historic data from 2005 and extrapolating this to 2025. An examination of the reasons for and against major travel and leisure company involvement in the accessible tourism market was accompanied by an analysis of managerial perceptions.

The exploration of travel patterns of disabled tourists, in particular spend per head per holiday, was used to measure the value of the demand side of accessible tourism. Semi-structured interviews were carried out with employees of major travel and leisure companies in managerial positions.

The study indicates that the accessible tourism market is a distinct sector, possessing the capacity for extensive future growth, and thus presents major travel providers with a potentially substantial and lucrative market, generating potential revenues of €88.6 billion by 2025.

Due to a lack of existing data an assumption had to be made on the evolution of travel spend per head per holiday. However, the formula used, using GDP/Capita growth, is a recognised way of forecasting this kind of data in the travel and leisure industry.

This is the first paper to provide an examination of the reasons for and against major travel and leisure company involvement in the accessible tourism market, as well providing a forecast of the market value up to 2025.

The purpose of this paper is to present a fast and bare bones implementation of a numerical method for quickly simulating turbulent thermal flows on GPUs. The work also validates earlier research showing that the lattice Boltzmann method (LBM) method is suitable for complex thermal flows.

A dual lattice hydrodynamic (D3Q27) thermal (D3Q7) multiple-relaxation time LBM model capable of thermal DNS calculations is implemented in CUDA.

The model has the same computational performance compared to earlier publications of similar LBM solvers. The solver is validated against three benchmark cases for turbulent thermal flow with available data and is shown to be in excellent agreement.

The combination of a D3Q27 and D3Q7 stencil for a multiple relaxation time -LBM has, to the authors’ knowledge, not been used for simulations of thermal flows. The code is made available in a public repository under a free license.