Essays in Behavioral Analytics Using Data Science and Machine Learning

dc.contributor.advisorWöhrmann, Arnt
dc.contributor.advisorEwelt-Knauer, Corinna
dc.contributor.authorGerstel, Hannes
dc.date.accessioned2023-11-13T13:15:54Z
dc.date.available2023-11-13T13:15:54Z
dc.date.issued2023
dc.description.abstractThe dissertation includes five papers on the subject of behavioral analytics. The first two experimental studies examine the impact of debiasing tools on escalation of commitment. The third study uses econometric tools to examine the interplay between director incentives, director decisions and firm outcomes. The fourth study examines the effect of corporate cultural distance on mergers and acquisitions using transformer-based natural language processing. The fifth study examines whether machine learning can improve the accuracy of revenue forecasts.de_DE
dc.identifier.urihttps://jlupub.ub.uni-giessen.de//handle/jlupub/18604
dc.identifier.urihttp://dx.doi.org/10.22029/jlupub-17968
dc.language.isoende_DE
dc.relation.hasparthttps://doi.org/10.15358/0935-0381-2023-4de_DE
dc.rightsIn Copyright*
dc.rights.urihttp://rightsstatements.org/page/InC/1.0/*
dc.subject.ddcddc:650de_DE
dc.titleEssays in Behavioral Analytics Using Data Science and Machine Learningde_DE
dc.typedoctoralThesisde_DE
dcterms.dateAccepted2023-11-07
local.affiliationFB 02 - Wirtschaftswissenschaftende_DE
thesis.levelthesis.doctoralde_DE

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