The special objective of this community is in a new approach to explore 'The Modeling on Adoption Behavior' and its extended theory on 'People's Selection'.

We examine the classic S-type adoption model, also known as innovation diffusion, by Rogers, Bass and their variations. We suggest a new framework — the General Adoption Model — to complement the methods of previous studies. A decade-long empirical research series has been conducted to test this new model.

Sean Tung-Xiung Wu

Department of Information Management, Shih Hsin University

Management, Innovation, and Service Science Research Center, Graduate Institute of Industrial Engineering, Nation Taiwan University

Dave Goldsman

School of Industrial and Systems Engineering, Georgia Institute of Technology

Joel Sokol

School of Industrial and Systems Engineering, Georgia Institute of Technology

 

Craig A. Tovey

School of Industrial and Systems Engineering, Georgia Institute of Technology

 

One of our findings is a forecast model of the growth of innovation. Another finding gives evidence regarding the existence of the so-called 『Cultivation Effect』, which describes a 4-year time lag for the problem at hand. 

We attempt to gain insight from the General Adoption Model that might explain and forecast people』s selection preferences with respect to products, services, events, and activities.

 For the empirical study, we have collected empirical data on the behavior of internet users in Taiwan over the last ten years. Our model provided reliable fits and forecasts for subsequent use rates. (In fact, at the end of 1999, one of the authors announced the first alert of the 『dot com crisis』 that happened within the next three months.)

 We also discuss the potential applications of this model in innovation, investment, marketing strategy, and decision making, which we expect to be profound.


 
   
 
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