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<biblioentry xreflabel="davenport98enterprise" id="davenport98enterprise">
   <authorgroup>
       <author><firstname>Thomas</firstname><othername role="mi">H.</othername><surname>Davenport</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Putting the Enterprise into the Enterprise System.</citetitle>
   <citetitle pubwork="journal">Harvard Business Review</citetitle>

   <volumenum>76</volumenum> 

   <artpagenums>121 - 131</artpagenums> 
   <pubdate>1998</pubdate>  
   <abstract>
      <para>Enterprise systems present a new model of corporate computing. They allow companies to replace their existing information systems&#44; which are often incompatible with one another&#44; with a single&#44; integrated system. By streamlining data flows throughout an organization&#44; these commercial software packages&#44; offered by vendors like SAP&#44; promise dramatic gains in a company&#39;s efficiency and bottom line. It&#39;s no wonder that businesses are rushing to jump on the ES bandwagon. But while these systems offer tremendous rewards&#44; the risks they carry are equally great. Not only are the systems expensive and difficult to implement&#44; they can also tie the hands of managers. Unlike computer systems of the past&#44; which were typically developed in&#45;house with a company&#39;s specific requirements in mind&#44; enterprise systems are off&#45;the&#45;shelf solutions. They impose their own logic on a company&#39;s strategy&#44; culture&#44; and organization&#44; often forcing companies to change the way they do business. Managers would do well
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="1286250" id="1286250">
   <authorgroup>
       <author><firstname>Sung</firstname><othername role="mi">Eob</othername><surname>Lee</surname></author>
       <author><firstname>Steve</firstname><othername role="mi">SanKi</othername><surname>Han</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Qtag: introducing the qualitative tagging system</citetitle>

   <publisher>
      <publishername>ACM</publishername>
   </publisher>


   <artpagenums>35&#x2013;36</artpagenums> 
   <pubdate>2007</pubdate>  

</biblioentry>
<biblioentry xreflabel="1149949" id="1149949">
   <authorgroup>
       <author><firstname>Cameron</firstname><surname>Marlow</surname></author>
       <author><firstname>Mor</firstname><surname>Naaman</surname></author>
       <author><firstname>Danah</firstname><surname>Boyd</surname></author>
       <author><firstname>Marc</firstname><surname>Davis</surname></author> 
   </authorgroup>
<citetitle pubwork="article">HT06&#44; tagging paper&#44; taxonomy&#44; Flickr&#44; academic article&#44; to read</citetitle>

   <publisher>
      <publishername>ACM</publishername>
   </publisher>


   <artpagenums>31&#x2013;40</artpagenums> 
   <pubdate>2006</pubdate>  
   <abstract>
      <para>In recent years&#44; tagging systems have become increasingly popular. These systems enable users to add keywords (i.e.&#44; &#34;tags&#34;) to Internet resources (e.g.&#44; web pages&#44; images&#44; videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search&#44; spam detection&#44; reputation systems&#44; and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems.Despite the rapid expansion of applications that support tagging of resources&#44; tagging systems are still not well studied or understood. In this paper&#44; we provide a short description of the academic related work to date. We offer a model of tagging systems&#44; specifically in the context of web&#45;based systems&#44; to help us illustrate the possible benefits of these tools. Since many such systems already exist&#44; we provide a taxonomy of tagging systems to help inform their analysis and design&#44; and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results&#44; we present a preliminary study of the photo&#45;sharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.
      </para>
   </abstract>
</biblioentry>
</bibliography>
