Abstract
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.
Degree
thesis:*- Name thesis:degree_name
- Master
- Department dc:contributor.department
- Massachusetts Institute of Technology. Engineering and Management Program
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2019
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Shah, Bahubali(Bahubali Pavankumar)
- Advisor dc:contributor.advisor
-
- Eric Rebentisch.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- MIT 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.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- https://hdl.handle.net/1721.1/121798
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/121798