{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/121798"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/121798","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Assessing digital transformation capabilities","abstract":"It 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.","abstract_html":"It 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.","abstract_has_math":false,"creators":["Shah, Bahubali(Bahubali Pavankumar)"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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