|
HU Credits:
3
Degree/Cycle:
2nd degree (Master)
Responsible Department:
business administration
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. Scopus
Course/Module Coordinator:
Nicole Adler
Coordinator Office Hours:
Sundays 2:00-3:00
Teaching Staff:
Prof Nicole Adler
Course/Module description:
Benchmarking and productivity measurement aid organizations to improve products and processes both internally and with respect to their external environment. This course will discuss the various management and economic approaches to productivity measurement as well as their applications to multiple industries.
Course/Module aims:
The aim of this course is to study productivity management both theoretically and empirically. The course will cover two of the major methodologies to measure productivity, namely data envelopment analysis and stochastic frontier analysis. We will also study their applications in both the public and private sectors such as banking, pharmaceuticals, health, education and transportation.
Learning outcomes - On successful completion of this module, students should be able to:
• Define productivity and how it can be managed
• Compare multiple methods of benchmarking
• Formulate and solve data envelopment analysis models
• Formulate and solve stochastic frontier analysis models
• Apply the models to real world industry applications
• Interpret and validate the benchmarking outcomes over time
Attendance requirements(%):
Teaching arrangement and method of instruction:
Lectures, class discussion, exercises and project
Course/Module Content:
Review of linear programming and econometrics, data envelopment analysis, stochastic frontier analysis, applications to the public and private sectors
Required Reading:
Benchmarking with DEA, SFA, and R., by Bogetoft, Peter, Otto, Lars
Published Springer, New York, 2010.
Additional Reading Material:
Course/Module evaluation:
End of year written/oral examination 0 %
Presentation 0 %
Participation in Tutorials 10 %
Project work 70 %
Assignments 20 %
Reports 0 %
Research project 0 %
Quizzes 0 %
Other 0 %
Additional information:
|
close