scholarly journals Cellular Automata with network incubation in information technology diffusion

2010 ◽  
Vol 389 (12) ◽  
pp. 2422-2433 ◽  
Author(s):  
Renato Guseo ◽  
Mariangela Guidolin
Keyword(s):  
Information Technology ◽  
Cellular Automata ◽  
Technology Diffusion

scholarly journals Information Technology Diffusion with Influentials, Imitators, and Opponents

2010 ◽  
Vol 27 (2) ◽  
pp. 305-334 ◽  
Author(s):  
Hasan Cavusoglu ◽  
Nan Hu ◽  
Yingjiu Li ◽  
Dan Ma
Keyword(s):  
Information Technology ◽  
Technology Diffusion

Modeling Customer-Related IT Diffusion

2011 ◽  
pp. 251-263
Author(s):  
Shana L. Dardan ◽  
Ram L. Kumar ◽  
Antonis C. Stylianou
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Diffusion Model ◽  
Technology Diffusion ◽  
Empirical Support ◽  
Event Studies ◽  
It Investments ◽  
It Diffusion ◽  
Information Technology Investments ◽  
Bayesian Prior

This study develops a diffusion model of customer-related IT (CRIT) based on stock market announcements of investments in those technologies. Customer-related IT investments are defined in this work as information technology investments made with the intention of improving or enhancing the customer experience. The diffusion model developed in our study is based on data for the companies of the S&P 500 and S&P MidCap 400 for the years of 1996-2001. We find empirical support for a sigmoid diffusion model. Further, we find that both the size and industry of the company affect the path of CRIT diffusion. Another contribution of this study is to illustrate how data collection techniques typically used for fi- nancial event studies can be used to study information technology diffusion. Finally, the data collected for this study can serve as a Bayesian prior for future diffusion forecasting studies of CRIT.

Modeling and Simulation on the New Technology Diffusion of Cars Using Cellular Automata

2011 ◽  
Vol 291-294 ◽  
pp. 3171-3174
Author(s):  
Fang Ma ◽  
Gang Ling Chao
Keyword(s):  
Life Cycle ◽  
Cellular Automata ◽  
Modeling And Simulation ◽  
Technology Diffusion ◽  
Growth Stage ◽  
New Technology ◽  
Advanced Technology ◽  
Stage 4

Based on cellular automata (CA), the new technology diffusions of domestic cars and completely knocked down (CKD) cars were modeled and simulated. It is found that: (1) CA method successfully examined the new technology diffusion of domestic and CKD cars, (2) the predicted results of domestic cars show four stages of the life cycle of new technology, but those of CKD cars display only the decline stage of the life cycle, (3) the present technology of domestic cars in China is in the period of growth stage and that of CKD cars is at the decline stage, (4) with the advanced technology and new service are created and introduced into the industry of domestic cars, CKD cars will lose their market and be gradually out of the market.

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