dc.contributor.advisor | Anjali Sastry. | en_US |
dc.contributor.author | Lawson, Angela Dawn. | en_US |
dc.contributor.other | Sloan School of Management. | en_US |
dc.date.accessioned | 2020-09-03T15:52:00Z | |
dc.date.available | 2020-09-03T15:52:00Z | |
dc.date.issued | 2020 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/126905 | |
dc.description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, May, 2020 | en_US |
dc.description | Cataloged from the official PDF of thesis. "May 2020." | en_US |
dc.description | Includes bibliographical references (pages 84-86). | en_US |
dc.description.abstract | With the rapid evolution of technology from more affordable hardware and data storage to artificial intelligence, companies must evolve their technology strategy to remain relevant. Federal agencies are no exception as they continue to deploy transformational technology to improve services for the American public. An important issue has surfaced in the evolution of technology and the increasing speed of innovation where companies no longer need to find technologies to solve their problems, rather they need to select the right technologies to focus their attention to best define the future of work. Methodologies are common across industries but how do they apply to public service? Is a qualitative or quantitative process possible for vetting new and existing technology implementations while remaining adaptive and service-oriented? This paper explores the development of a framework that provides guidance on deploying the right technologies. I will draw on desk research of existing methodologies while gathering information on effectiveness of past deployments to define a guiding framework for technology selection. These findings can assist in future decisions for technology investment along with tripwires for retiring existing technologies. | en_US |
dc.description.statementofresponsibility | by Angela Dawn Lawson. | en_US |
dc.format.extent | 86 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Sloan School of Management. | en_US |
dc.title | Deploying the right technology : a framework for digital strategy and selection at the United States Postal Service to shape the future of work | en_US |
dc.title.alternative | Framework for digital strategy and selection at the United States Postal Service to shape the future of work | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.B.A. | en_US |
dc.contributor.department | Sloan School of Management | en_US |
dc.identifier.oclc | 1191623537 | en_US |
dc.description.collection | M.B.A. Massachusetts Institute of Technology, Sloan School of Management | en_US |
dspace.imported | 2020-09-03T15:51:59Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | Sloan | en_US |