Thesis Open Access
samuel getachew
{ "description": "<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’ consent, it can be one of the services that<br>\naffect customers’ responsiveness behavior. Studying customers’ preferences prior<br>\nto sending a message will help to overcome resource dissipation due to messaging<br>\nand reduces customers’ offensiveness.<br>\nThe aim of this thesis is to identify factors that affect customers’ 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>", "license": "http://www.opendefinition.org/licenses/cc-by", "creator": [ { "@type": "Person", "name": "samuel getachew" } ], "headline": "Customer Perception and Responsiveness Behavior Study on Bulk SMS Advertisements for Target Customer Identification: The case of Ethio Telecom", "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", "datePublished": "2020-02-25", "url": "https://nadre.ethernet.edu.et/record/1951", "@context": "https://schema.org/", "identifier": "https://doi.org/10.20372/nadre:1951", "@id": "https://doi.org/10.20372/nadre:1951", "@type": "ScholarlyArticle", "name": "Customer Perception and Responsiveness Behavior Study on Bulk SMS Advertisements for Target Customer Identification: The case of Ethio Telecom" }
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