دانلود رایگان مقاله لاتین تجزیه پوشش داده ایجاد ارزش ادغام از سایت الزویر
عنوان فارسی مقاله:
ایجاد و تخصیص ارزش به دنبال ادغام و مالکیت: تجزیه و تحلیل پوشش داده
عنوان انگلیسی مقاله:
Value creation and appropriation following M&A: A data envelopment analysis
سال انتشار : 2016
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بخشی از مقاله انگلیسی:
3. Methodology
Studies of firm efficiency have predominantly used ratio analysis or regression, both of which have their shortcomings (Harris, Ozgen, & Ozcan, 2000). Regression focuses only on the central tendency and cannot incorporate multiple inputs and outputs (Donthu & Yoo, 1998). Data envelopment analysis (DEA) offers a number of advantages over regression which make it a very useful tool to disentangle relationships which would otherwise remain hidden (Donthu & Yoo, 1998). DEA has grown in popularity in many academic disciplines (Cook & Seiford, 2009), although it has not yet been used much in marketing (Haugland, Myrtveit, & Nygaard, 2007). Unlike regression, DEA can incorporate multiple inputs and outputs, as well as identifying an efficient frontier and the distance of inefficient observations from that frontier. It focuses on individual observations and constructs a piecewise linear ‘surface’ that interpolates between (envelops) the most efficient observations (Cook & Seiford, 2009; Donthu & Yoo, 1998). In DEA, decision making units (DMUs) can be any set of entities that transform comparable inputs into comparable outputs such as firms operating in a similar industry (Cook & Seiford, 2009). In the current study, each M&A deal in the sample has been treated as an individual DMU whose marketing efficiency has been computed for the pre and post-merger years. This study measured the relative marketing efficiency scores of each M&A deal (DMU) under investigation for both pre and post-merger years by determining the minimum possible marketing inputs required to produce a set of marketing outputs or by determining the maximum possible marketing outputs that can be produced from a given set of marketing inputs.
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کلمات کلیدی:
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