February 25, 2020 Thesis Open Access

samuel getachew

DataCite XML Export

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  <identifier identifierType="DOI">10.20372/nadre:1951</identifier>
  <creators>
    <creator>
      <creatorName>samuel getachew</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Customer Perception and Responsiveness Behavior Study on Bulk SMS Advertisements for Target Customer Identification: The case of Ethio Telecom</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-02-25</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Thesis</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://nadre.ethernet.edu.et/record/1951</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.20372/nadre:1950</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/aau</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://nadre.ethernet.edu.et/communities/zenodo</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Bulk-messaging, one of the technologies carried by the telecom industry, is a process&lt;br&gt;
of sending a large number of messages to many people at once. It is likely&lt;br&gt;
a more economical and effective way of marketing media as compared to others.&lt;br&gt;
Therefore, many companies are using this service for advertisement. Since it is&lt;br&gt;
most likely flooding without customers&amp;rsquo; consent, it can be one of the services that&lt;br&gt;
affect customers&amp;rsquo; responsiveness behavior. Studying customers&amp;rsquo; preferences prior&lt;br&gt;
to sending a message will help to overcome resource dissipation due to messaging&lt;br&gt;
and reduces customers&amp;rsquo; offensiveness.&lt;br&gt;
The aim of this thesis is to identify factors that affect customers&amp;rsquo; responsiveness&lt;br&gt;
attitude and classify customers based on the level of responses, towards bulkmessaging&lt;br&gt;
advertisements in the case of Ethio Telecom customers. In this thesis,&lt;br&gt;
two different types of data were used i.e. data collected in-person via questionnaire&lt;br&gt;
and a Call Detail Records (CDR) data. Among 620 distributed questionnaires&lt;br&gt;
528 were replied. Moreover, a CDR data of 29,506 messages got responses&lt;br&gt;
among 419,249 delivered messages. A statistical mean method and data mining&lt;br&gt;
techniques were used to classify a survey and CDR data respectively.&lt;/p&gt;</description>
  </descriptions>
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