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Evidence-Based Management

  • Teacher(s):   J.Dietz  
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Spring Semester 2019-2020, 2.0h. course (weekly average)
  •  sessions
  • Related programmes:
    Master of Science (MSc) in Management, Orientation Strategy, Organization and Leadership

    Maîtrise universitaire ès Sciences en management, Orientation Behaviour, Economics and Evolution

    Master of Science (MSc) in Management, Orientation Marketing

    Master of Science (MSc) in Management, Orientation Business Analytics

[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :

Objectives

Develop a basic understanding of evidence-based practices for solving managerial problems. By the end of the course, you should have developed competencies on how to employ an evidence-based approach for defining problems as well as for identifying, testing, and evaluating potential solutions. You will also learn about academic research on selected topics. In short, this course aims to show how an evidence-based approach to problem-solving can improve managerial decision making.

Contents

We seek to (1) develop an understanding of an evidence-based approach to management and (2) learn the knowledge and skills for practicing evidence-based management. The key focus is on acquiring knowledge about how to employ evidence-based practices, in particular for collecting data in one’s company and for one’s own projects. The specific objectives are:

1) Understand the concepts of evidence-based management and a scientific problem solving cycle.

2) Develop procedural knowledge and skills for evidence-based management, in particular for using a scientific problem-solving cycle.

3) Practice evidence-based management through case studies and an evidence-based review article.

Pre-requisites

An introductory statistics course (e.g., the management science course by Professor Marewski). Our course is not a statistics course, but an understanding of basic statistics is helpful for understanding an evidence-based approach to management.

Evaluation


 

First attempt


 
Exam:
Without exam (cf. terms)  
Evaluation:

The course is graded on the basis of:

  • Class contribution (individual): 20%
  • Weekly assignment papers (individual): 30%
  • Synopsis of evidence-based article (team): 10%
  • Evidence-based review article (team): 40%

 

Retake


 
Exam:
Written 2h00 hours
Documentation:
Allowed
Calculator:
Allowed
Evaluation:

Students who fail the course must do an exam during the Unil retake exam session; in that case, class contribution and the weekly assignment papers will still be taken into account for the final grading, and the final exam will account for 50% of the overall course grade.



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