کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
896503 1472412 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An integrated two-stage diffusion of innovation model with market segmented learning
ترجمه فارسی عنوان
انتشار دو مرحلهای از مدل نوآوری با یادگیری بخش بندی بازار
کلمات کلیدی
مدل سازی نوآوری، یادگیری بیزی، کلام دهان، مدلسازی رضایتمندی
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی


• We propose a two-stage diffusion model that utilizes macro and micro-level approaches.
• A word-of-mouth process forecasts how information is communicated and processed.
• The model is employed to forecast the adoption process of hybrid electric vehicles.

With the aid of the Internet, both firms and customers have access to vast amounts of data. The aim of the proposed model is to provide a method that utilizes data to understand and predict how potential customers will value innovations, and communicate thoughts in a non-fully connected market. Innovation diffusion models have been studied extensively, and are often formulated using either macro-level approaches that aggregate much of the market behavior, or using micro-level approaches that employ microeconomic information pertaining to the potential market and the innovation. We propose a two-stage integrated model that benefits from both the macro- and micro-level approaches, and we add emphasis to modeling when, what, and how customers communicate and process information. The proposed model incorporates heterogeneous potential customers and adopters, segmented Bayesian learning, and the adopter's satisfaction levels to describe biasing and word-of-mouth behavior in a non-fully connected market.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Technological Forecasting and Social Change - Volume 88, October 2014, Pages 189–201
نویسندگان
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