Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01s4655k203
DC FieldValueLanguage
dc.contributor.authorKuenne, Peter-
dc.date.accessioned2017-07-18T18:28:19Z-
dc.date.available2017-07-18T18:28:19Z-
dc.date.created2017-04-11-
dc.date.issued2017-4-11-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01s4655k203-
dc.description.abstractThis paper expands on the framework of the M&A literature on firm knowledge bases to include indicators of both innovative and economic performance. Using a Poisson regression analysis on a dataset of high-tech M&As, the effects of the absolute size of an acquired knowledge base, the relative size of the acquired knowledge base, and the level of knowledge similarity are studied against a set of performance measures including innovation output, return on assets, and stock returns. The results suggest that the size of the acquired knowledge base has a positive effect on innovative output and a potential negative effect on long term returns. The relative size of the acquired knowledge base has a negative effect on innovation output and an insignificant effect on both economic indicators. The level of knowledge similarity has a positive effect on innovation output but a negative effect on short term returns. Taken together, the re- sults suggest while the acquired knowledge has a positive effect on innovation output, it has an insignificant or in some cases negative impact on economic performanceen_US
dc.language.isoen_USen_US
dc.titleM&A Knowledge Base Effectsen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2017en_US
pu.departmentEconomicsen_US
pu.pdf.coverpageSeniorThesisCoverPage-
pu.contributor.authorid960862230-