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dc.contributor.advisorEric Rebentisch.en_US
dc.contributor.authorShah, Bahubali(Bahubali Pavankumar)en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.date.accessioned2019-07-18T20:30:21Z
dc.date.available2019-07-18T20:30:21Z
dc.date.copyright2018en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/121798
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019en_US
dc.descriptionCataloged from PDF version of thesis. "February 2019."en_US
dc.descriptionIncludes bibliographical references (pages 79-83).en_US
dc.description.abstractIt is widely believed that we are currently living in the digital age. Advances in technologies enabling connectivity, data aggregation and analysis, and aritificial intelligence/ machine learning are making it possible to obtain insights into human and machine behaviour like never before. Companies are rushing to take advantage of this new resource called data for competitive advantage. Yet, while many are aiming to pursue a Digital Transformation strategy within their organization, there appears to be a range of different opinions that professionals/ experts carry when it comes to identifying capabilities required to become a Digital Enterprise. This thesis is aimed at helping professionals in two ways. First, it identifies required capabilities at functional level from first principles. Second, it defines maturity levels for key generic capabilities at the company level for professionals to measure and guide their organization's progress towards becoming a Digital Enterprise.en_US
dc.description.statementofresponsibilityby Bahubali Shah.en_US
dc.format.extent83 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering and Management Program.en_US
dc.subjectSystem Design and Management Program.en_US
dc.titleAssessing digital transformation capabilitiesen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.contributor.departmentSystem Design and Management Programen_US
dc.identifier.oclc1103606512en_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2019-07-18T20:30:20Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSysDesen_US


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