Thesis Open Access
samuel getachew
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<foaf:name>samuel getachew</foaf:name>
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<dct:title>Customer Perception and Responsiveness Behavior Study on Bulk SMS Advertisements for Target Customer Identification: The case of Ethio Telecom</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-02-25</dct:issued>
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<dct:description><p>Bulk-messaging, one of the technologies carried by the telecom industry, is a process<br> of sending a large number of messages to many people at once. It is likely<br> a more economical and effective way of marketing media as compared to others.<br> Therefore, many companies are using this service for advertisement. Since it is<br> most likely flooding without customers&rsquo; consent, it can be one of the services that<br> affect customers&rsquo; responsiveness behavior. Studying customers&rsquo; preferences prior<br> to sending a message will help to overcome resource dissipation due to messaging<br> and reduces customers&rsquo; offensiveness.<br> The aim of this thesis is to identify factors that affect customers&rsquo; responsiveness<br> attitude and classify customers based on the level of responses, towards bulkmessaging<br> advertisements in the case of Ethio Telecom customers. In this thesis,<br> two different types of data were used i.e. data collected in-person via questionnaire<br> and a Call Detail Records (CDR) data. Among 620 distributed questionnaires<br> 528 were replied. Moreover, a CDR data of 29,506 messages got responses<br> among 419,249 delivered messages. A statistical mean method and data mining<br> techniques were used to classify a survey and CDR data respectively.</p></dct:description>
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