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Journal of Industrial and Systems Engineering، جلد ۱۴، شماره Special issue: ۱۸th International Industrial Engineering Conference، صفحات ۱۹-۳۰
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عنوان انگلیسی Diagnosis the dependence of revenue sources of communication service companies on specific services using machine learning
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله IT industry,internet services,Telecommunication,Machine Learning
نویسندگان مقاله Mahmoud Tajik Jangali |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Ahmad Makui |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Narges Taheri |
Strategic & business development, Telecommunication Infrastructure Company, Tehran, Iran

Ehsan Dehghani |
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Somaye Kazemi |
Tehran University, Tehran, Iran

نشانی اینترنتی https://www.jise.ir/article_143902_cf07e7c60083c67687ca50e7ce636595.pdf
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