Innovation

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  1. 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
  2. WORKCENTER GE1-102-I

    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
  3. JIT process DO1-014-I-M

    Interacitve case Study comprised of a dynamic comparison of the pull-push processes and a virtual guide of the Ford plant in Almussafes (Valencia).

    Academic Area:
    Operations & Supply Chain Management | Digital Technologies & Data Science | Innovation
  4. 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
  5. 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
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