<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T05:24:30Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/121798" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/121798</identifier><datestamp>2022-01-13T07:55:19Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Eric Rebentisch.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Shah, Bahubali(Bahubali Pavankumar)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Engineering and Management Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2019-07-18T20:30:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-07-18T20:30:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/121798</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1103606512</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis. "February 2019."</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 79-83).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Bahubali Shah.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Engineering and Management</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">83 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">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.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering and Management Program.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Assessing digital transformation capabilities</dim:field>
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   	&lt;Title>Assessing digital transformation capabilities&lt;/Title>
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    &lt;Keyword>Engineering and Management Program.&lt;/Keyword>
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   	&lt;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&amp;apos;s progress towards becoming a Digital Enterprise.&lt;/Abstract>
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