Strategic thinking is thinking for the future. But that means understanding what the future and time are. Therefore, strategic thinking is a skill any manager should have to develop strategies for the future of the company. Strategic thinking is valuable for each individual in order to have success in his/her career and personal life.

Lambda quantiles, originally introduced as lambda value at risk, generalise the classical value at risk by allowing for a variable confidence level. In this article, we examine their numerical properties. We begin by developing a globally convergent Newton-based algorithm for evaluating lambda quantiles, named Λ-Newton-Bis. We prove convergence under mild assumptions, including cases with discontinuities, and local convergence under stronger local regularity conditions. Additionally, we consider an optimal portfolio allocation problem using lambda quantiles, proposing two alternative solution approaches based on the Λ-Newton-Bis algorithm. Several examples compare the performance of the two approaches and confirm the numerical efficiency of Λ-Newton-Bis.

Development can no longer be understood without taking into account the dimensions of sustainability, such as climate change, the loss of biodiversity or soil erosion and the depletion of natural resources. But how can the slogan "Think global and act local" be made concrete? How can we really act at the local level? In this context, the circular economy appears to be a credible solution, because it spares as much as possible the objectives of sustainable development and the preservation of the planet. In a way, it makes it possible both to setup production activities and therefore to maintain or develop jobs at the local level, and also to limit the use and transport of resources, thanks to a system of control of uses and recycling of materials, which remains virtuous in environmental terms, because they are grounded and territorially based.