<?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>2026-09-21T01:45:36Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/128975" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/128975</identifier><datestamp>2026-06-17T14:43:41Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Robert Gibbons and Glenn Ellison.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Palida, Ali Fakhruddin.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Economics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Economics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-01-05T23:10:51Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/128975</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1227094325</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, September, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis consists of three separate papers concerning the use of communication channels and intermediaries in organizations. A noisy-signalling model of strategic communication is introduced in the first chapter, and expanded upon in the remainder of the thesis. In the second part of the first chapter, I use the core noisy-signalling model to study organizational design of a single channel of communication. The results of the analysis provide a rational for the variation in communication processes observed across organizations, as well as costly political lobbying and advertising campaigns. In the second chapter, I extend the core model to allow the informed party to choose among multiple communication channels when conversing with the decision maker. The model suggests that polarization across communication channels may be an efficient response to "bandwidth" concerns facing decision-makers of large corporations or unqualified management. Conversely, coexistence of partisan and non-partisan channels within an organization or community (e.g. tabloids and professional news sources in the journalism industry) may also be socially efficient for other environments. In the third chapter, I consider a different extension of the core model by allow- ing the two parties to communicate via a strategic intermediary. I use the model to provide a possible explanation for the variety of roles communication intermediaries play in different organizations, the correlation between control-rights and communication hierarchies in organizations, as well usage of third-party, conflict-resolution arrangements.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Ali Fakhruddin Palida.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">Ph.D. Massachusetts Institute of Technology, Department of Economics</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">97 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">Economics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Noisy-signalling models of organizational decision making</dim:field>
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   	&lt;Title>Noisy-signalling models of organizational decision making&lt;/Title>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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    &lt;Keyword>Economics.&lt;/Keyword>
   	&lt;Abstract>This thesis consists of three separate papers concerning the use of communication channels and intermediaries in organizations. A noisy-signalling model of strategic communication is introduced in the first chapter, and expanded upon in the remainder of the thesis. In the second part of the first chapter, I use the core noisy-signalling model to study organizational design of a single channel of communication. The results of the analysis provide a rational for the variation in communication processes observed across organizations, as well as costly political lobbying and advertising campaigns. In the second chapter, I extend the core model to allow the informed party to choose among multiple communication channels when conversing with the decision maker. The model suggests that polarization across communication channels may be an efficient response to &amp;quot;bandwidth&amp;quot; concerns facing decision-makers of large corporations or unqualified management. Conversely, coexistence of partisan and non-partisan channels within an organization or community (e.g. tabloids and professional news sources in the journalism industry) may also be socially efficient for other environments. In the third chapter, I consider a different extension of the core model by allow- ing the two parties to communicate via a strategic intermediary. I use the model to provide a possible explanation for the variety of roles communication intermediaries play in different organizations, the correlation between control-rights and communication hierarchies in organizations, as well usage of third-party, conflict-resolution arrangements.&lt;/Abstract>
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