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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Do There Exist Industry-Specific Predictors of Deal Failure in Technology M&A?

Sui, Mark 01 January 2019 (has links)
This study investigates two variables, number of investors and an intangible assets/revenue ratio, that are potential industry-specific predictors of deal failure in technology M&A. I document that number of investors has a significant ability to predict deal failure in all M&A transactions: an increase in number of investors decreases deal failure rates. However, I find that neither variable is able to significantly predict deal failure differently for transactions involving technology targets and those involving non-technology targets. Broadly, my findings suggest that technology M&A and non-technology M&A may share more similarities than previously expected in the ultimate goal of properly evaluating them.

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