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• W2094611232 abstract "Purpose – The purpose of this paper is to develop an effective synergy measurement model to support the decision-making process in mergers and acquisitions (M&A). Design/methodology/approach – Relevant literature is reviewed and critically assessed. An interpretive methodology is used to analyse empirical data from a questionnaire survey and interviews of M&A experts. A framework is provided with the objective to support the process of synergy measurement and the success of pre-deal planning. Findings – The authors find several mismatches in synergy measurement practices. The strategic factors, which are considered very relevant to generating reliable forecasts, are surprisingly not adequately quantified. On the contrary, a synergy measurement model may integrate the assessment of these factors: the type of synergy, the size of synergy, the timing of synergy and the likelihood of achievement. Practical implications – The paper offers interesting implications for firms, advisors and consultants, pointing out that synergy measurement issues are related to the analysis of strategic factors affecting synergy. These findings suggest that the pre-planning process should integrate people and tools from different backgrounds, from strategy to accounting, to effectively measure the synergy value. The authors also suggest the development of new tools in response to the needs of practitioners for best practices in M&A. Originality/value – This paper highlights that the effective use of synergy measurement models are critical to improve the success of M&A due diligence." @default.
• W2094611232 created "2016-06-24" @default.
• W2094611232 creator A5014926679 @default.
• W2094611232 creator A5017339070 @default.
• W2094611232 date "2014-07-08" @default.
• W2094611232 modified "2023-09-30" @default.
• W2094611232 title "A synergy measurement model to support the pre-deal decision making in mergers and acquisitions" @default.
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• W2094611232 doi "https://doi.org/10.1108/md-10-2013-0516" @default.
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