Diagnosis the dependence of revenue sources of communication service companies on specific services using machine learning
Publish place: 18th International Conference on Industrial Engineering
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC18_027
تاریخ نمایه سازی: 1 دی 1400
Abstract:
Nowadays, Telecommunication has a vital role in both developed and emerging economies countries. Especially after coronavirus epidemic, the importance of telecommunication service like internet in education, research, economy and other areas is evident. Due to the alluring market of providing internet services to the main customers of IT industry and its significant profit, the demand of the other services has decreased sharply. Hence, a large part of the revenues of the IT industry be related to internet services. In this study, balancing of revenue sources has investigated as one of the important diagnosis facing the IT industry. In order to overcome this problem, introducing low-demand services along with internet service in the form of a package to the main customers is analyzed with a best-known machine learning algorithm, Generalized Linear Model. In order to validate the applicability of our study, a case study of a company providing telecommunication infrastructure and internet network bandwidth in Iran, is presented.
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Authors
Mahmoud Tajik Jangali
PhD student, Iran University of Science and Technology;
ahmad makui
Professor, Iran University of Science and Technology;
narges taheri
Deputy for strategic & business development, Telecommunication Infrastructure company;
ehsan dehghani
Postdoctoral researcher, Iran University of Science and Technology;
somaye kazemi
Master of Engineering, Tehran University;