کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
896357 1472393 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The effect of service rollout on demand forecasting: The application of modified Bass model to the step growing markets
ترجمه فارسی عنوان
اثر ارائه مرحله بندی شده خدمات بر پیش بینی تقاضا: استفاده از مدل باس اصلاح شده برای بازارهای در حال رشد مرحله ای
کلمات کلیدی
پیش بینی تقاضا. انتشار؛ ارائه مرحله بندی شده خدمات. زیر ساخت؛ تقسیم بندی بازار
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


• Focus is on markets described through gradual network infrastructure development.
• In order to forecast new service adoption modified Bass model is proposed.
• The model uses market segmentation in order to ensure effective service rollout.
• Taking into account different influential parameters model is divided into steps.
• Model is applicable when service coverage, restrictions and high investment matter.

The purpose of this research is to develop a new forecasting model for gradual development of telecommunications network infrastructure. If technical support service is not provided in the whole territory, then the service cannot be simultaneously offered to the market. Therefore, the adoption process is performing in steps, following the systematic process of the infrastructure development. We propose the step growing market model with variable market potential, based on the fundamental Bass diffusion model. This model uses market segmentation and the simulation of various market scenarios in order to indicate effective service rollout. Demand forecasting is required in order to dimensioning of required network resources. Moreover, this model offers the insight into the operator's compromises regarding decisions in the network investment. The resulting plan is a network deployment strategy that defines temporal sequence of network layouts. Thus, the upgrade plan indicates which investments are indispensible at each point of time.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 107, June 2016, Pages 130–140
نویسندگان
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