Multiple Objective Approach as an Alternative to Radial Projection in DEA
Radial projection is a standard technique applied in data envelopment analysis (DEA) to calculate efficiency scores for input and/or output variables. In this paper, we have studied the appropriateness of radial projection for target setting. We have created a situation where the decision making uni...
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| Published in: | Journal of productivity analysis Vol. 20; no. 3; pp. 305 - 321 |
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| Language: | English |
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Kluwer Academic Publishers
01.11.2003
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| Abstract | Radial projection is a standard technique applied in data envelopment analysis (DEA) to calculate efficiency scores for input and/or output variables. In this paper, we have studied the appropriateness of radial projection for target setting. We have created a situation where the decision making units (DMUs) are free to choose their own target values on the efficient frontier and then compared the results to those of radial projection. In practice, target values are primarily used for future goal attainment; hence, not only preferences but also, and on the whole, change in time frame, affect the choice of target values. Based on that, we conducted an empirical experiment with an aim to study how the DMUs choose their most preferred target values on the efficient frontier. The subjects, who all were students of the Helsinki School of Economics, were given the freedom to explore their personalized efficient frontiers by using a multiple objective linear programming (MOLP) approach. To study various and relevant scenarios, the personalized efficient frontiers for all students were constructed in such a way that the current position of each student in relation to the frontier made him/her inefficient, efficient, or super-efficient. The results show that the use of radial projection for target setting is too restrictive. |
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| AbstractList | Radial projection is a standard technique applied in data envelopment analysis (DEA) to calculate efficiency scores for input and/or output variables. In this paper, we have studied the appropriateness of radial projection for target setting. We have created a situation where the decision making units (DMUs) are free to choose their own target values on the efficient frontier and then compared the results to those of radial projection. In practice, target values are primarily used for future goal attainment; hence, not only preferences but also, and on the whole, change in time frame, affect the choice of target values. Based on that, we conducted an empirical experiment with an aim to study how the DMUs choose their most preferred target values on the efficient frontier. The subjects, who all were students of the Helsinki School of Economics, were given the freedom to explore their personalized efficient frontiers by using a multiple objective linear programming (MOLP) approach. To study various and relevant scenarios, the personalized efficient frontiers for all students were constructed in such a way that the current position of each student in relation to the frontier made him/her inefficient, efficient, or super-efficient. The results show that the use of radial projection for target setting is too restrictive. [PUBLICATION ABSTRACT] Radial projection is a standard technique applied in data envelopment analysis (DEA) to calculate efficiency scores for input and/or output variables. In this paper, we have studied the appropriateness of radial projection for target setting. We have created a situation where the decision making units (DMUs) are free to choose their own target values on the efficient frontier and then compared the results to those of radial projection. In practice, target values are primarily used for future goal attainment; hence, not only preferences but also, and on the whole, change in time frame, affect the choice of target values. Based on that, we conducted an empirical experiment with an aim to study how the DMUs choose their most preferred target values on the efficient frontier. The subjects, who all were students of the Helsinki School of Economics, were given the freedom to explore their personalized efficient frontiers by using a multiple objective linear programming (MOLP) approach. To study various and relevant scenarios, the personalized efficient frontiers for all students were constructed in such a way that the current position of each student in relation to the frontier made him/her inefficient, efficient, or super-efficient. The results show that the use of radial projection for target setting is too restrictive. |
| Author | KORHONEN, PEKKA SYRJÄNEN, MIKKO STENFORS, SARI |
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| Cites_doi | 10.1287/mnsc.30.9.1078 10.1016/0377-2217(92)90294-J 10.1016/0022-0531(81)90043-0 10.1007/978-94-011-0637-5 10.1016/S0377-2217(97)00080-5 10.1287/mnsc.44.7.962 10.1287/mnsc.39.10.1261 10.1023/A:1007812822633 10.2307/1906814 10.2307/2343100 10.1007/s001990050010 10.1016/0022-0531(78)90060-1 10.1016/0377-2217(78)90138-8 10.1016/0377-2217(86)90050-0 10.1016/0377-2217(79)90229-7 10.1002/1520-6750(198812)35:6<615::AID-NAV3220350608>3.0.CO;2-K |
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| Snippet | Radial projection is a standard technique applied in data envelopment analysis (DEA) to calculate efficiency scores for input and/or output variables. In this... |
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| SubjectTerms | Allocative efficiency Data envelopment analysis Decision making Economic value Efficiency metrics Efficiency objectives Experiments Information economics Linear programming Management science Objective functions Price efficiency Prices Students Studies Time management |
| Title | Multiple Objective Approach as an Alternative to Radial Projection in DEA |
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