<?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>2026-09-20T15:10:38Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/130739" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/130739</identifier><datestamp>2024-10-17T17:36:05Z</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">Duncan I. Simester.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wang, Yifei(Business management scientist)Massachusetts Institute of Technology.</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" lang="en_US">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-05-24T19:53:30Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2021-05-24T19:53:30Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2021</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2021</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/130739</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1251804755</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, February, 2021</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 28).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Previous research has documented the existence of 'harbingers of failure', who systematically purchase new products that fail. This paper proposes an explanation for the harbinger effect. We establish consumer engagement in decision making as one mechanism for the harbinger effect using evidence from multiple studies. We show that harbingers are less engaged in purchasing decisions. Harbinger customers identified from in-store purchases browse fewer pages and spend less time searching for information when purchasing a product online. They are also more likely to purchase products that customers who engage in more effort will not buy. Their low level of engagement extends to post-purchase scenarios: harbinger customers are less likely to write online reviews, and when they do write reviews, their reviews are significantly shorter than other customers. We then ask whether low engagement has a causal impact on high flop rates observed in harbingers. We identify the causal effect by exploring exogeneous variations in consumer engagement due to changes in hourly store traffic in an offline shopping environment. Using a fixed effect model, we show that increases in store traffic lead to significant increases in the proportion of failed products purchased by customers visiting the store. We confirm that store traffic influences flop rate through consumer engagement by investigating categories where consumer engagement is more vs. less responsive to changes in store traffic. We show that the effect of store traffic on consumer flop rate is more prominent in categories where higher traffic has a larger negative impact on consumer search and engagement. Collectively, our results demonstrate that harbinger customers tend to be less engaged in making decisions, and that their low level of engagement causes them to purchase failed products and make unpopular choices.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Yifei Wang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management Research</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M. in Management Research Massachusetts Institute of Technology, Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">54 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 may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</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">Low engagement and failed choices : exploring the mechanism for harbingers of failure</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Exploring the mechanism for harbingers of failure</dim:field>
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   <dim:field mdschema="dspace" element="imported" lang="en_US">2021-05-25T17:07:46Z</dim:field>
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   	&lt;Title>Low engagement and failed choices : exploring the mechanism for harbingers of failure&lt;/Title>
   	&lt;Subtitle>Exploring the mechanism for harbingers of failure&lt;/Subtitle>
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   	&lt;PublicationDate>2021&lt;/PublicationDate>
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        	&lt;DisplayName>Wang, Yifei(Business management scientist)Massachusetts Institute of Technology.&lt;/DisplayName>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
   	&lt;Abstract>Previous research has documented the existence of &amp;apos;harbingers of failure&amp;apos;, who systematically purchase new products that fail. This paper proposes an explanation for the harbinger effect. We establish consumer engagement in decision making as one mechanism for the harbinger effect using evidence from multiple studies. We show that harbingers are less engaged in purchasing decisions. Harbinger customers identified from in-store purchases browse fewer pages and spend less time searching for information when purchasing a product online. They are also more likely to purchase products that customers who engage in more effort will not buy. Their low level of engagement extends to post-purchase scenarios: harbinger customers are less likely to write online reviews, and when they do write reviews, their reviews are significantly shorter than other customers. We then ask whether low engagement has a causal impact on high flop rates observed in harbingers. We identify the causal effect by exploring exogeneous variations in consumer engagement due to changes in hourly store traffic in an offline shopping environment. Using a fixed effect model, we show that increases in store traffic lead to significant increases in the proportion of failed products purchased by customers visiting the store. We confirm that store traffic influences flop rate through consumer engagement by investigating categories where consumer engagement is more vs. less responsive to changes in store traffic. We show that the effect of store traffic on consumer flop rate is more prominent in categories where higher traffic has a larger negative impact on consumer search and engagement. Collectively, our results demonstrate that harbinger customers tend to be less engaged in making decisions, and that their low level of engagement causes them to purchase failed products and make unpopular choices.&lt;/Abstract&gt;
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