<?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>2026-09-20T17:14:34Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/65180" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/65180</identifier><datestamp>2026-06-06T01:05:45Z</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">William C. Wheaton.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Fagan, Kevin William</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Center for Real Estate</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-08-16T15:26:12Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-08-16T15:26:12Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/65180</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">746059855</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M. in Real Estate Development)--Massachusetts Institute of Technology, Program in Real Estate Development in Conjunction with the Center for Real Estate, 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 107-110).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The retail industry in the 21st century is undergoing a confluence of transformative changes. In this paper we discuss particularly noteworthy changes related to demography, retail economics and the Internet. We note how, in reaction to those transformations, brick-and-mortar retailers have developed innovative strategies to maintain growth and store performance, such as urban market penetration and multi-channel selling. We also have done a rigorous analysis of retail performance across major U.S. markets to determine the ex post and ex ante effects of trends and strategy changes. The hypothesis of this paper is that the conventional definition of "good" retail real estate has substantially changed in the last decade. The analytic approach of this paper is to: 1) observe broad retail industry trends, 2) conduct industry interviews to identify corresponding retailer strategy shifts, 3) perform cross-metro analysis of retail performance and 4) extrapolate meaningful effects on retail real estate. This provides owners, operators and developers of retail properties insight into the evolving characteristics and needs of tenants as they adapt to the new retail environment. Conclusions include description of the attributes of markets, properties, tenant mixes and amenities that best support contemporary retailing. Commentary and analysis is also provided on the impact of e-commerce and bricks-and-mortar retailers' adoption of multi-channel selling. Some results are that larger, denser markets have less consumption per capita, but those markets are generally underserved and have greater store gross revenues. Retailers are motivated to enter urban markets with flexible prototypes and online platforms. Population growth serves as a wealth proxy and corresponds strongly with sales growth. Housing prices are positively correlated to retail sales. Income growth has a much stronger relationship to sales performance than static income levels. Ethnicities and incomes are sorted and stratified in dense markets, making performance forecasting more nuanced. Relatively higher Internet usage in a metro corresponds to significantly higher brick-and-mortar retail sales.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Kevin William Fagan.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M. in Real Estate Development</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">116 p.</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">Center for Real Estate. Program in Real Estate Development.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The bricks, clicks, economics and mortar of contemporary retail : the consequences that retailer storing strategies and retail performance across markets have on real estate investments</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Consequences that retailer storing strategies and retail performance across markets have on real estate investments</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>The bricks, clicks, economics and mortar of contemporary retail : the consequences that retailer storing strategies and retail performance across markets have on real estate investments&lt;/Title>
   	&lt;Subtitle>Consequences that retailer storing strategies and retail performance across markets have on real estate investments&lt;/Subtitle>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Fagan, Kevin William&lt;/DisplayName>
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    &lt;Keyword>Center for Real Estate. Program in Real Estate Development.&lt;/Keyword>
   	&lt;Abstract>The retail industry in the 21st century is undergoing a confluence of transformative changes. In this paper we discuss particularly noteworthy changes related to demography, retail economics and the Internet. We note how, in reaction to those transformations, brick-and-mortar retailers have developed innovative strategies to maintain growth and store performance, such as urban market penetration and multi-channel selling. We also have done a rigorous analysis of retail performance across major U.S. markets to determine the ex post and ex ante effects of trends and strategy changes. The hypothesis of this paper is that the conventional definition of &amp;quot;good&amp;quot; retail real estate has substantially changed in the last decade. The analytic approach of this paper is to: 1) observe broad retail industry trends, 2) conduct industry interviews to identify corresponding retailer strategy shifts, 3) perform cross-metro analysis of retail performance and 4) extrapolate meaningful effects on retail real estate. This provides owners, operators and developers of retail properties insight into the evolving characteristics and needs of tenants as they adapt to the new retail environment. Conclusions include description of the attributes of markets, properties, tenant mixes and amenities that best support contemporary retailing. Commentary and analysis is also provided on the impact of e-commerce and bricks-and-mortar retailers&amp;apos; adoption of multi-channel selling. Some results are that larger, denser markets have less consumption per capita, but those markets are generally underserved and have greater store gross revenues. Retailers are motivated to enter urban markets with flexible prototypes and online platforms. Population growth serves as a wealth proxy and corresponds strongly with sales growth. Housing prices are positively correlated to retail sales. Income growth has a much stronger relationship to sales performance than static income levels. Ethnicities and incomes are sorted and stratified in dense markets, making performance forecasting more nuanced. Relatively higher Internet usage in a metro corresponds to significantly higher brick-and-mortar retail sales.&lt;/Abstract>
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