ملخص
In a merger, one important issue is the estimation of the levels of inputs and outputs required from each merging decision-making unit (DMU) so that the merged entity can realise a desired efficiency target. This paper uses the potential of inverse data envelopment analysis (InvDEA) to build a flexible target setting of the inputs and outputs. This study expands the application of the InvDEA methodology in a merger by introducing a flexible target setting that allows the decision maker to favour specific input in the target setting. We use a dataset of 30 universities to illustrate the practical scope of the proposed flexible target setting method, which can obviously be employed in any other merging context.
اللغة الأصلية | English |
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الصفحات (من إلى) | 301-317 |
عدد الصفحات | 17 |
دورية | International Journal of Operational Research |
مستوى الصوت | 35 |
رقم الإصدار | 3 |
المعرِّفات الرقمية للأشياء | |
حالة النشر | Published - 2019 |
ASJC Scopus subject areas
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