<?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>2026-09-20T12:27:55Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/90244" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/90244</identifier><datestamp>2022-01-13T07:54:52Z</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">Christian Catalini.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Genre, Solene</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-09-19T21:48:14Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2014</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management Studies, Massachusetts Institute of Technology, Sloan School of Management, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 62).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">It is very hard to identify and evaluate very early stage investment opportunities in disruptive digital consumer-facing startups as they usually don't have any meaningful revenue data yet. However, these growing startups have "momentums". In classical mechanics, momentum is the product between mass and velocity. When it comes to startups, we can see revenue and web traffic as the mass and unique page views, social presence and sentiment, page rank, inbound links... as velocity (cf. Danielle Morrill start ups momentum index). Analyzing all these data is usually the most relevant way for investors to evaluate investment opportunities. It is however very unclear to what extent startups momentum is an indicator of financial performance. I would like to focus on social media exposure as an indicator of velocity for startups, and investigate further the correlations between social media exposure and revenue data.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Solene Genre.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management Studies</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">70 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">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about 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">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">To what extent is social media exposure correlated with financial performance for early stage digital consumer-facing startups?</dim:field>
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   	&lt;Title>To what extent is social media exposure correlated with financial performance for early stage digital consumer-facing startups?&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate>
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   	&lt;Abstract>It is very hard to identify and evaluate very early stage investment opportunities in disruptive digital consumer-facing startups as they usually don&amp;apos;t have any meaningful revenue data yet. However, these growing startups have &amp;quot;momentums&amp;quot;. In classical mechanics, momentum is the product between mass and velocity. When it comes to startups, we can see revenue and web traffic as the mass and unique page views, social presence and sentiment, page rank, inbound links... as velocity (cf. Danielle Morrill start ups momentum index). Analyzing all these data is usually the most relevant way for investors to evaluate investment opportunities. It is however very unclear to what extent startups momentum is an indicator of financial performance. I would like to focus on social media exposure as an indicator of velocity for startups, and investigate further the correlations between social media exposure and revenue data.&lt;/Abstract>
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