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040169 UK Quantitative Assessment of Public and Non-Proft Strategies I (2018W)

(Benchmarking)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Details

max. 25 participants
Language: English

Lecturers

Classes

DI 02.10.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock
DI 09.10.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock
DI 16.10.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock
DI 06.11.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock
DI 20.11.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock
DI 11.12.2018 08.30-12.30 Ort: Seminarraum 3 OMP 1 1.Stock

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Information

Aims, contents and method of the course

http://pnpm.univie.ac.at/berufsfeld-pnpm/
Please open this website to obtain further information regarding in which Bachelor study plans this course can be selected (e.g., Business Administration, International Business Administration, Economics, Statistics, Business Informatics).

This course focuses on the economic assessment of public and non-profit companies/institutions by using benchmarking as an instrument for strategic planning and control.

The main part of the course consists of benchmarking Decision Making Units (DMUs) such as public institutions, associations, and hospitals. An introduction on benchmarking approaches is provided with a special focus on Data Envelopment Analysis (DEA). Different efficiency concepts are illustrated on several examples.

Each student group selects a particular economic sector (e.g., education, environment/energy, health, disaster management, recreation) to benchmark DMUs. First, each student group reports on a selected topic of pitfalls and protocols in DEA (homework 1). Second, each student group discusses and presents particularities of the selected economic sector and the related DMUs (homework 2). Third, each student group investigates a selected research paper from the literature of the selected economic sector (e.g., education, environment/energy, health, disaster, recreation).

Assessment and permitted materials

All presentation assignments have to follow scientific rules. The slides must be turned in a day before the presentation (via e-mail: doc-file, ppt-file, pdf-file; in class: printed version). The printed version of the slides is part of the final grade.

Presentations
• Each presentation should last up to 40 minutes (homework 1, 2, and 3).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentation is part of the final grade.

Attention, all possibly outstanding achievements in the WS are to be provided up to and including 31 December.
Attention, all written elaborations are subject to a plagiarism check (software etc.).

Minimum requirements and assessment criteria

All presentation assignments have to follow scientific rules. The slides must be turned in a day before the presentation (via e-mail: doc-file, ppt-file, pdf-file; in class: printed version). The printed version of the slides is part of the final grade. For homework 3, an executive summary is also requested (three pages).

• Each presentation should last up to 40 minutes (homework 1, 2, and 3).
• There should be a short discussion with the auditorium after the presentation.
• The use of the beamer is expected (legible slides).
• The quality of the presentation is part of the final grade.

Attention: All written work is checked by plagiarism software for correct scientific citation.

Examination topics

• Positive collaboration during the blocked classes (max. 30%)
• Homework 1 (oral: 5%; written slides: 5%)
• Homework 2 (oral: 10%; written slides: 15%)
• Homework 3 (oral: 10%; written slides: 15%; executive summary: 10%)

Reading list

All course materials are available on the E-Learning-Platform Moodle.

Main literature:

Cooper, W.W., Seiford, L.M., Zhu, J. (2004) Handbook on Data Envelopment Analysis, Kluwer, Boston.

Charnes, A., Cooper, W.W., Rhodes, E. (1978) Measuring the efficiency of decision making units, European Journal of Operational Research, Vol. 2, pp. 429-444.

Dyson, R.G., Allen, R. Camanho, A.S., Podinovski, V.V. ,Sarrico C.S., Shale E. A. (2001) Pitfalls and protocols in DEA, European Journal of Operational Research, Vol. 132, No. 2, pp. 245-259.

Ozcan, Y. with contribution Tone, K. (2014) Health Care Benchmarking and Performance Evaluation, An Assessment using Data Envelopment Analysis (DEA), 2nd. Edition, Springer, New York.

O'Neill, L., Rauner, M.S., Heidenberger, K., Kraus, M. (2008) A cross-national comparison and taxonomy of hospital efficiency studies using data envelopment analysis, Socio-Economic Planning Sciences, Vol. 42, No. 3, pp. 158-189.

Association in the course directory

Last modified: We 13.03.2019 10:47