February 25, 2020 Thesis Open Access

samuel getachew

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{
  "DOI": "10.20372/nadre:1951", 
  "author": [
    {
      "family": "samuel getachew"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2020, 
        2, 
        25
      ]
    ]
  }, 
  "abstract": "<p>Bulk-messaging, one of the technologies carried by the telecom industry, is a process<br>\nof sending a large number of messages to many people at once. It is likely<br>\na more economical and effective way of marketing media as compared to others.<br>\nTherefore, many companies are using this service for advertisement. Since it is<br>\nmost likely flooding without customers&rsquo; consent, it can be one of the services that<br>\naffect customers&rsquo; responsiveness behavior. Studying customers&rsquo; preferences prior<br>\nto sending a message will help to overcome resource dissipation due to messaging<br>\nand reduces customers&rsquo; offensiveness.<br>\nThe aim of this thesis is to identify factors that affect customers&rsquo; responsiveness<br>\nattitude and classify customers based on the level of responses, towards bulkmessaging<br>\nadvertisements in the case of Ethio Telecom customers. In this thesis,<br>\ntwo different types of data were used i.e. data collected in-person via questionnaire<br>\nand a Call Detail Records (CDR) data. Among 620 distributed questionnaires<br>\n528 were replied. Moreover, a CDR data of 29,506 messages got responses<br>\namong 419,249 delivered messages. A statistical mean method and data mining<br>\ntechniques were used to classify a survey and CDR data respectively.</p>", 
  "title": "Customer Perception and Responsiveness Behavior Study on Bulk SMS Advertisements for Target Customer Identification: The case of Ethio Telecom", 
  "type": "thesis", 
  "id": "1951"
}