<?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>2026-09-21T00:11:09Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/59173" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/59173</identifier><datestamp>2022-01-27T21:52:36Z</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">Charles Cooney and Ernst Berndt.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lin, Amy C. (Amy Chaimin), 1980-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Leaders for Global Operations Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Leaders for Global Operations Program at MIT</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Sloan School of Management</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-10-12T17:58:57Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-10-12T17:58:57Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2010</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/59173</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">659780829</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2010.</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 (p. 56-57).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">For many biotech drugs, minimal competition has led to significant margins. Genentech's legacy product, however, faces intense competition from six other competitors. Competition necessitates contracting to ensure patient access to the product but this results in price erosion. An increase in discounting and subsequent price erosion in recent years has prompted a need to better understand account level profitability. Given a highly dynamic and complex payer and distribution network, it is difficult to determine the contribution of each vial that is sold, such that the profitability of some vials is in question. As other biotech drugs begin to face similar competitive market dynamics, an analysis of Genentech's product brings timely insight into understanding and managing profitability in a competitive environment within the biotechnology sector. System dynamics modeling is used to analyze the key attributes of a competitive environment. It highlights two important and related observations: that increased market share does not necessarily lead to increased profitability, and that contract wins do not always result in increased sales. A framework is introduced to determine account level profitability. By using activity-based accounting to allocate costs, the true profit of each account is determined. Results show that the degree of profitability varies widely, further reinforcing the notion that account specific profits rather than average profits are a more accurate measure of performance. Finally, to assist decision makers in the ongoing process of promoting sound business decisions, tools are created that incorporate the insights gained in this analysis. Both an account specific marginal profit model and a dashboard will help to ensure that future decisions lead to long-term profitability.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Amy C. Lin.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.B.A.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">57 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 &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
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>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Mechanical Engineering.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Leaders for Global Operations Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Understanding and managing profitability in a competitive environment : an application in biotechnology</dim:field>
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   	&lt;Title>Understanding and managing profitability in a competitive environment : an application in biotechnology&lt;/Title>
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   	&lt;PublicationDate>2010&lt;/PublicationDate>
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        	&lt;DisplayName>Lin, Amy C. (Amy Chaimin), 1980-&lt;/DisplayName>
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    &lt;Keyword>Sloan School of Management.&lt;/Keyword>
    &lt;Keyword>Mechanical Engineering.&lt;/Keyword>
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   	&lt;Abstract>For many biotech drugs, minimal competition has led to significant margins. Genentech&amp;apos;s legacy product, however, faces intense competition from six other competitors. Competition necessitates contracting to ensure patient access to the product but this results in price erosion. An increase in discounting and subsequent price erosion in recent years has prompted a need to better understand account level profitability. Given a highly dynamic and complex payer and distribution network, it is difficult to determine the contribution of each vial that is sold, such that the profitability of some vials is in question. As other biotech drugs begin to face similar competitive market dynamics, an analysis of Genentech&amp;apos;s product brings timely insight into understanding and managing profitability in a competitive environment within the biotechnology sector. System dynamics modeling is used to analyze the key attributes of a competitive environment. It highlights two important and related observations: that increased market share does not necessarily lead to increased profitability, and that contract wins do not always result in increased sales. A framework is introduced to determine account level profitability. By using activity-based accounting to allocate costs, the true profit of each account is determined. Results show that the degree of profitability varies widely, further reinforcing the notion that account specific profits rather than average profits are a more accurate measure of performance. Finally, to assist decision makers in the ongoing process of promoting sound business decisions, tools are created that incorporate the insights gained in this analysis. Both an account specific marginal profit model and a dashboard will help to ensure that future decisions lead to long-term profitability.&lt;/Abstract>
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