Predict consumer behavior in selecting mobile SIM using artificial neural networks (Case study: mobile phone subscribers in the city of Urmia)

سال انتشار: 1393
محل انتشار: اولین کنفرانس بین المللی مدیریت در قرن ۲۱
کد COI اختصاصی: ICMNG01_199
زبان مقاله: انگلیسی
تعداد مشاهده: 1182

نویسندگان

Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Aida Meskarian

Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Davoud Norouzi

Department of Management ,College of Management, Economics and Accounting, Tabriz Branch, Islamic Azad University, Tabriz, Iran

چکیده

This study sought to develop a model of artificial neural networks that is able to hold variables that influenceconsumer behavior and finally predict the type of SIM that consumer demands. Research's Statistical community is allmobile subscribers in the city of Urmia, in which 384 mobile subscribers have chosen to survey by sampling method. Formodeling and analysis of multi-layer neural network with hyperbolic tangent function, of education, training has been usedby the Forward algorithm that results showed the importance of independent variables in predicting the dependent variable(SIM card mobile phone) to arrange the variables of price, product, rank first and third in importance and the promotionof social class ranked fifth in importance. Gender, education and marital status have the least impact on selecting the typeof SIM card. The overall extension of the model obtained 65.7 percent of the SIM card used in the test samples correctlypredicted.

کلیدواژه ها

mobile, artificial neural networks, consumer behavior, predict, MCI, MTN

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.