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dc.contributor.advisorDecker, Christian-
dc.contributor.authorKarathomas, Jesse Julian-
dc.date.accessioned2021-06-10T14:07:01Z-
dc.date.available2021-06-10T14:07:01Z-
dc.date.created2020-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/20.500.12738/11123-
dc.description.abstractThe present work illustrates if the Real Option Theory can be applied to determine the value of data and data sets within a corporate environment. This thesis will present the key to digitalization strategies and its consequence in Industry 4.0. It will illustrate the necessity of a reliable data foundation and point out the investments which have to be made in order to maintain the information quality drawn from the data. Determining the value of these investments by applying traditional discounted cash flow methods is difficult, as they do not offer suitable approaches/measures to include uncertainty and flexibility into the investment. The Real Option Theory in general does provide this potential and is therefore more applicable. Accordingly, this work will introduce the concepts of the Real Option. Furthermore, it will link this concept to investment projects in data respectively data sets.en
dc.language.isoenen_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/-
dc.subjectDigitalizationen_US
dc.subjectIndustry 4.0en_US
dc.subjectInternet of Thingsen_US
dc.subjectData Qualityen_US
dc.subjectData Quality Managemenen_US
dc.subjectReal Option Analysisen_US
dc.subject.ddc330: Wirtschaften_US
dc.titleEconomic evaluation of data sets: A descriptive approach to determine the value of data sets in the context of digitalization and Industry 4.0, by describing the concept of the Real Option Theoryen
dc.typeThesisen_US
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
thesis.grantor.departmentDepartment Wirtschaften_US
thesis.grantor.departmentFakultät Wirtschaft und Sozialesen_US
thesis.grantor.universityOrInstitutionHochschule für Angewandte Wissenschaften Hamburgen_US
tuhh.contributor.refereeGille, Michael-
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-125785-
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Wirtschaften_US
tuhh.publication.instituteFakultät Wirtschaft und Sozialesen_US
tuhh.type.opusBachelor Thesis-
dc.type.casraiSupervised Student Publication-
dc.type.dinibachelorThesis-
dc.type.driverbachelorThesis-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dc.type.thesisbachelorThesisen_US
dcterms.DCMITypeText-
tuhh.dnb.statusdomain-
item.creatorOrcidKarathomas, Jesse Julian-
item.cerifentitytypePublications-
item.advisorGNDDecker, Christian-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.openairetypeThesis-
item.fulltextWith Fulltext-
item.creatorGNDKarathomas, Jesse Julian-
item.languageiso639-1en-
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