<?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>2026-09-19T07:25:25Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111454" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111454</identifier><datestamp>2022-01-13T07:55:20Z</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">Jiang, Jennifer Hongbo</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2017-09-15T15:34:54Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003321586</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2017.</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 47-49).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This paper analyzed how blockchain has achieved decentralized consensus, a remarkable innovation by: 1) validating transactions based on cryptograph technologies and implicit incentives; 2) extending blockchain networks based on a process of randomization. The success of emerging distributed ledger technology (DLT) reveals an intricate interplay of key factors among technology, economics, and rules. This paper discussed the broad spectrum of permissionless and permissioned DLTs and argued that the choice of DLT for each business case is a delicate balancing act for the needs of disintermediation, confidentiality, and scalability among other considerations. Smart contacts are the pre-agreed set of rules evaluated and executed by an automated system based on DLT. By digitalizing the physical business world, smart contracts combined with loT or big data analytics can help make powerful business cases, and we illustrated the potential use-cases in financial securitization industry. Looking forward, a decentralized consensus model empowered by DLT may lead to a new dimension of organizational changes and foster more collaborative partnership within and beyond the financial services industry.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jennifer Hongbo Jiang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Management of Technology</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">49 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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Sloan School of Management.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">How much does trust cost? : analysis of the consensus mechanism of distributed ledger technology and use-cases in securitization</dim:field>
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   	&lt;Title>How much does trust cost? : analysis of the consensus mechanism of distributed ledger technology and use-cases in securitization&lt;/Title>
   	&lt;Subtitle>Analysis of the consensus mechanism of distributed ledger technology and use-cases in securitization&lt;/Subtitle>
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   	&lt;Abstract>This paper analyzed how blockchain has achieved decentralized consensus, a remarkable innovation by: 1) validating transactions based on cryptograph technologies and implicit incentives; 2) extending blockchain networks based on a process of randomization. The success of emerging distributed ledger technology (DLT) reveals an intricate interplay of key factors among technology, economics, and rules. This paper discussed the broad spectrum of permissionless and permissioned DLTs and argued that the choice of DLT for each business case is a delicate balancing act for the needs of disintermediation, confidentiality, and scalability among other considerations. Smart contacts are the pre-agreed set of rules evaluated and executed by an automated system based on DLT. By digitalizing the physical business world, smart contracts combined with loT or big data analytics can help make powerful business cases, and we illustrated the potential use-cases in financial securitization industry. Looking forward, a decentralized consensus model empowered by DLT may lead to a new dimension of organizational changes and foster more collaborative partnership within and beyond the financial services industry.&lt;/Abstract>
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