"Analysis of the Diffusion Effect of the MICE Industry and New Demand Forecasts - A Bass Diffusion Model Perspective-"

2021 ◽  
Vol 15 (2) ◽  
pp. 125-147
Author(s):  
"MICE 산업별 확산 효과 분석 및 신규 참가자 수요예측 연구 -Bass의 확산모형을 중심으로-" Jo ◽  
Ga-Yeon Ryu ◽  
Jae-Bin Cha
2012 ◽  
Vol 2012 ◽  
pp. 1-10
Author(s):  
Fu-Kwun Wang ◽  
Yu-Yao Hsiao ◽  
Ku-Kuang Chang

It is important for executives to predict the future trends. Otherwise, their companies cannot make profitable decisions and investments. The Bass diffusion model can describe the empirical adoption curve for new products and technological innovations. The Grey model provides short-term forecasts using four data points. This study develops a combined model based on the rolling Grey model (RGM) and the Bass diffusion model to forecast motherboard shipments. In addition, we investigate evolutionary optimization algorithms to determine the optimal parameters. Our results indicate that the combined model using a hybrid algorithm outperforms other methods for the fitting and forecasting processes in terms of mean absolute percentage error.


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