<?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>2026-09-19T12:53:18Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/90686" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/90686</identifier><datestamp>2022-01-13T07:54:46Z</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">Thomas W. Malone.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Donnelly, Allan R. (Allan Richard)</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">System Design and Management Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-10-08T15:22:44Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-10-08T15:22:44Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/90686</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">890934151</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.</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 (pages 57-60).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Management researchers have long sought strategies for increasing the rate and quality of ideas generated among workers. Additionally, the advent of internet-based communications has created opportunities for valuable ideas to be generated - and harnessed - from crowds of individuals. The first section of this paper reviews the early and recent literature on measuring creativity, focusing specifically on the effects of incentives and explicit instructions on the rate of idea generation. The following section describes the crowdsourcing platform through which the research was conducted - Amazon Mechanical Turk (AMT) - and reviews recent work that has utilized this platform for experimental research. The project at hand engages participants in a divergent thinking exercise to measure the rate of idea generation for the crowd-based population. The findings show more unique ideas occur later in the response period, demonstrating the presence of the serial order effect; that explicitly instructing respondents to "Be Creative" increases the rate of idea generation; and that offering a bonus incentive for "especially creative ideas" decreases the rate of idea generation for specific demographics of respondents. The paper continues with a discussion of research limitations and areas for further exploration. Conclusions and insights are offered at the end.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Allan R. Donnelly.</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="format" qualifier="extent" lang="en_US">60 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">Engineering Systems Division.</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">Measuring the effects of explicit instructions and incentives on the idea generation rate of a crowd-based population</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Measuring creative idea generation rates of crowd based populations</dim:field>
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   	&lt;Title>Measuring the effects of explicit instructions and incentives on the idea generation rate of a crowd-based population&lt;/Title>
   	&lt;Subtitle>Measuring creative idea generation rates of crowd based populations&lt;/Subtitle>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Donnelly, Allan R. (Allan Richard)&lt;/DisplayName>
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    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
    &lt;Keyword>System Design and Management Program.&lt;/Keyword>
   	&lt;Abstract>Management researchers have long sought strategies for increasing the rate and quality of ideas generated among workers. Additionally, the advent of internet-based communications has created opportunities for valuable ideas to be generated - and harnessed - from crowds of individuals. The first section of this paper reviews the early and recent literature on measuring creativity, focusing specifically on the effects of incentives and explicit instructions on the rate of idea generation. The following section describes the crowdsourcing platform through which the research was conducted - Amazon Mechanical Turk (AMT) - and reviews recent work that has utilized this platform for experimental research. The project at hand engages participants in a divergent thinking exercise to measure the rate of idea generation for the crowd-based population. The findings show more unique ideas occur later in the response period, demonstrating the presence of the serial order effect; that explicitly instructing respondents to &amp;quot;Be Creative&amp;quot; increases the rate of idea generation; and that offering a bonus incentive for &amp;quot;especially creative ideas&amp;quot; decreases the rate of idea generation for specific demographics of respondents. The paper continues with a discussion of research limitations and areas for further exploration. Conclusions and insights are offered at the end.&lt;/Abstract>
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