Banesco Banco Universal. DO1-110-I
Between 1992 and 2005, Banesco Banco Universal experienced sustainable and inexorable growth within Venezuela’s complex financial and banking market. Venezuela had weathered several political, social and economic crises over the last fifteen years. The vision of its founders Juan Carlos Escotet and Luis Xavier Lujan had been a key driver for the Bank’s success. However, after thirteen years of good decisions and results, Banesco was now a large and complex organization and was starting to show certain weaknesses that needed to be addressed by reviewing management and innovation processes to date.
In 2005, the Bank was in a situation in which it was able to launch a number of initiatives and projects designed to leverage strategic objectives. The demand for projects, however, was bigger than the Bank’s capacity to implement them, and it did not seem capable of prioritizing them.Academic Area:Operations & Supply Chain Management | Innovation
A “DECLARATION OF INDEPENDENCE” AT PEREZ-LLORCA DE1-116-I
Written for law graduates in a postgraduate law program. Requires extensive knowledge of the legal sector and knowledge of many topics. Covers an in-depth analysis of the firm’s situation.Academic Area:Strategy | Human Resources | Marketing & Communications | Others | Law
This case analyzes the trajectory of Workcenter SGD, a Spanish company that offers digital reprography services, from the time of its founding in 1998 up to the beginning of 2005. By that time, the company had surpassed the first growth phase and was confronting important issues concerning its medium and long-term future.Academic Area:Strategy | Entrepreneurship | Marketing & Communications | Innovation
Basic statistical methods MC021-022-I
This document introduces students to basic statistical models using step-by-step examples. It takes a look at how we can go from having sample data to data of the population by using two methods: confidence intervals and hypothesis testing. Students are then given practical examples of how these methods can be used. They are taken through each problem step by step and learn how to solve them using Excel functions.
The examples cover cases like how to determine the optimal number of data in a sample and testing hypotheses for more than two means.Academic Area:Operations & Supply Chain Management | Others
Quantitative decision analysis MC021-021-I
This technical note introduces students to quantitative methods and modeling techniques to facilitate decision making. In order to learn how to apply scientific methods to help them choose the best possible strategy to reach their goal. Using an example, students are taught how to make a decision using expected values in order to transform non-controlled variables into a numeric value.
Various examples are given so that students can learn how to make decisions based on different levels of risk aversion.Academic Area:Operations & Supply Chain Management | Others