Abstract
Since the mid 1990s, research in business and commerce areas became more qualitative: instead of using strict guidelines, researchers decided to use new techniques such as participant observation and individual interview. Since then, research has been divided into two different methods: the qualitative (the interpretivist paradigm)one and the quantitative (positivist paradigm) one. Now, we consider that both are essential to lead to a good business analysis. Some tools are provided in order to interpret this analysis. The Linear Programming, which has been developed by the Russian economist Leonid Kantorovich and the US economist C. Koopmans is a quantitative technique for optimizing an objective function, given a set of constraints. It is a mathematical technique used in computer modeling to find the best possible solution in allocating limited resources to achieve maximum profit or minimum cost. Once this data is input, we have to use the Sensitivity Analysis which provides insight into how the LP's optimal solution is affected by changes in the LP's data. In fact, the LP's data only estimates and it is essential to understand how changes in the LP data affects LP's optimal solution.
