End-of-life aircraft treatment in the context of sustainable development,lean management,and global business

Dealing with retired aircraft taking into account the environmental, social, and economic impacts is emerging as an air transportation problem for the near future. The players involved in the problem wish to solve this challenge in a systematic way to benefit from the value extracted from the core activities of the end-of-life (EoL) aircraft treatment, decrease the environmental impacts, and at the same time maximize the social value. This paper proposes a holistic approach to EoL aircraft treatment considering lean management, sustainable development, and the global business environment. An integrated optimization framework is proposed to support decision-making at both the strategic and managerial levels. The flexibility of the framework makes it possible to compare different business models, dismantling strategies, and network structures that impact the efficiency, stability, and leanness of the recovery network. A solution methodology based on the joint application of fuzzy interactive approach and genetic algorithm is introduced. The application perspective and guidelines for pilot study are also provided. To the best of our knowledge, this is the first time that recovery of EoL aircraft is considered based on three aspects of sustainability, lean, and global business. Therefore, this study provides many promising perspectives in this context to enrich the literature of EoL aircraft as a new aviation industry challenge and opportunity.     

Prediction of Ideas Number During a Brainstorming Session

In this paper, we present an approach allowing the prediction of ideas number during a brainstorming session. This prediction is based on two dynamic models of brainstorming, the non-cognitive and the cognitive models proposed by Brown and Paulus (Small Group Res 27(1):91–114, 1996). These models describe for each participant, the evolution of ideas number over time, and are formalized by differential equations. Through solution functions of these models, we propose to calculate the number of ideas of each participant on any time intervals and thus in the future (called prediction). To be able to compute solution functions, it is necessary to determine the parameters of these models. In our approach, we use optimization model for model parameters calculation in which solution functions are approximated by numerical methods. We developed two generic optimization models, one based on Euler’s and the other on the fourth order Runge–Kutta’s numerical methods for the solving of differential equations, and we apply them to the non-cognitive and respectively to the cognitive models. Through some feasibility tests, we show the adequacy of the proposed approach to our prediction context.     

Economic burden of thromboembolic and hemorrhagic complications in non-valvular atrial fibrillation in Algeria (the ELRAGFA study)

Abstract

Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia, with substantial public health and economic impact on healthcare systems due to the prevention and management of thromboembolic and hemorrhagic complications. In Algeria, stroke is a leading cause of death, representing 15.6% of all deaths in 2012. Current data on the epidemiology and costs associated with non-valvular AF (NVAF) in Algeria are not available.

Methods: A three-step approach was undertaken to estimate the economic burden of NVAF in Algeria. First, a literature review identified the epidemiological burden of the disease. Second, expert clinicians practicing in Algerian hospitals were surveyed on consumed resources and unit costs of treatment and management of complications and prevention. Finally, these data were combined with event probabilities in an economic model to estimate the annual cost of NVAF prevention and complications for the Algerian healthcare system.

Results: Based on literature and demographics data, it was estimated that there are currently 187,686 subjects with NVAF in Algeria. Seventy per cent of this population was treated for prevention, half of which were controlled. Cost of prevention was estimated at 203 million DZD (€1.5 million) for drugs and 349 million DZD (€2.6 million) for examinations. Mean hospitalization costs for complications ranged between 123,500 and 435,500 DZD (€910–3,209), according to the type and severity of complications. Hospitalization costs for thromboembolic and hemorrhagic complications were estimated at 8,313 million DZD (€62 million), half of which was for untreated patients. Finally, the economic burden of NVAF was estimated at 8,865 million DZD (>€65 million) annually.

Conclusion: The economic burden of NVAF is important in Algeria, largely driven by untreated and INR-uncontrolled patients. There is a lack of information on the Algerian healthcare system that could increase uncertainty around this assessment, but it clearly establishes the importance of NVAF as a public health concern.     

Effects of agri-environment schemes on farm-level eco-efficiency measures: Empirical evidence from EU countries

The European Union (EU) budget allocated to agri-environmental schemes (AES) has increased consistently over the past 20 years. European citizens should expect effective spending of these public funds, so investigation of the effects of these schemes on both environmental benefits and farm efficiency is warranted. We examine the effects of European agri-environmental schemes on farm-level eco-efficiency. Our analysis combines data envelopment analysis and impact assessment methods to evaluate the impact of scheme payments on eco-efficiency measures. Our results suggest that there is considerable scope for eco-efficiency improvements, both for dairy and crop production. Results also show that the average change in eco-efficiency scores does not vary significantly between AES participants and non-participants, which questions the effectiveness of present AES.     

Consumer Acceptance of Cloud Computing

To date, little research has focused on the consumer's perspective of cloud computing acceptance. Thus, this article explores the drivers of voluntary consumer acceptance of cloud computing in a sample of Moroccan students. Results indicate that in addition to ease of use and perceived usefulness, structural trust is important for voluntary cloud computing acceptance. However, unlike prior studies, results indicate that perceived ease of use has a stronger effect on intention to use cloud computing, than perceived usefulness. The results of this study contribute to theory and provide strategies for cloud computing service providers to attract and retain individual consumers.     

What we know,what we still need to know: the Asian currency crisis revisited

From the literature on currency crises, it is widely understood that weak economic fundamentals increase tremendously the probability of currency crises, especially in emerging markets. However, what was not known is that an accumulation of small problems interacting with each other can be equally damaging. Using a new technique, a combination of Classification and Regression Tree (CART) and Logit regression, this paper re‐examines the causes of the Asian currency crisis in 1997–98. The results indicate that although weak fundamentals were at the root of the crisis, only self‐fulfilling panic and herd behaviour can explain the severity of the crisis. Contrary to previous empirical research, our results indicate that the Asian crisis was caused by the accumulation of small fragilities rather than large deficiencies in the macroeconomic fundamentals. An important policy implication of such findings is the need for governments not to underestimate small problems, which, when they interact, can create chaos. Another novelty of this paper is the interpretation of the crisis in terms of the concepts of trigger and vulnerability, using an empirical model that captures the magnitude of the self‐fulfilling panic and its contribution to capital reversal and eventually to the collapse of the currencies.