A Linear Programming Based Model to Measure Efficiency and Effectiveness of Undergraduate Programs

Authors

  • Maznah Mat Kasim School of Quantitative Sciences Universiti Utara Malaysia, Malaysia
  • Rosmaini Kashim School of Quantitative Sciences Universiti Utara Malaysia, Malaysia
  • Sahubar Ali Mohamed Nadhar Khan School of Quantitative Sciences Universiti Utara Malaysia, Malaysia

DOI:

https://doi.org/10.32890/jict2017.16.2.10

Keywords:

Efficiency, effectiveness, undergraduate programs, Data Envelopment Analysis

Abstract

Measuring performance of an educational program based on its academic achievement is not sufficient without considering the cost and the impact of the program. This paper aims to demonstrate the construction of a measurement model consisting of the input, output and outcome variables. The model can estimate both the efficiency and the effectiveness of undergraduate programs. After the aforementioned variables were identified for each individual efficiency and effectiveness model, a linear programming based tool, Data Envelopment Analysis (DEA) was used as the analysis method to integrate the models since it has the ability to consider all the variables simultaneously. The two models were integrated as a product, and was defined as the final model which was verified by applying it to measure the performance of 26 undergraduate programs in a university. The results show that seven programs are efficient, six programs are effective, and six programs are both efficient and effective. The model is flexible since it can be extended to include more variables or it can be modified by defining new variables in measuring efficiency and effectiveness of other programs or organizations.

 

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Published

06-11-2017

How to Cite

Mat Kasim, M., Kashim, R., & Mohamed Nadhar Khan, S. A. (2017). A Linear Programming Based Model to Measure Efficiency and Effectiveness of Undergraduate Programs. Journal of Information and Communication Technology, 16(2), 394-407. https://doi.org/10.32890/jict2017.16.2.10

Research impact

Harvested 2026-09-06
3 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/jict2017.16.2.10 OpenAlex W4243708921

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