Flexible target setting in mergers using inverse data envelopment analysis

Gholam R. Amin*, Amar Oukil

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

17 اقتباسات (Scopus)

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 الأصليةEnglish
الصفحات (من إلى)301-317
عدد الصفحات17
دوريةInternational Journal of Operational Research
مستوى الصوت35
رقم الإصدار3
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2019

ASJC Scopus subject areas

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بصمة

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