Forecasting future demand for large-screen television sets using conjoint analysis with diffusion model

被引:69
作者
Lee, J [1 ]
Cho, YS [1 ]
Lee, JD [1 ]
Lee, CY [1 ]
机构
[1] Seoul Natl Univ, Coll Engn, Technoecon & Policy Program, Seoul 151742, South Korea
关键词
new product diffusion model; conjoint analysis; television; forecasting;
D O I
10.1016/j.techfore.2004.12.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
The methodological framework proposed in this paper addresses two limitations of the basic Bass diffusion model: that it does not reflect competition among products nor does it forecast demand for products that do not exist in the marketplace. The model consists of four steps. First, to investigate consumer preferences for product attributes, we use conjoint analysis to estimate the utility function of consumers. Next we estimate the dynamic price function of each competing product to reflect technological changes and the evolving market environment. Then we derive dynamic utility function by combining the static utility function and the price function. Finally, we forecast the sales of each product using estimated market share and sales data for each period, which are derived from the dynamic utility function and from the Bass diffusion model, respectively. We apply this model to South Korea's market for large-screen televisions. The results show that (1) consumers are sensitive to picture resolution and cost and (2) in the near future, should the market see the introduction of liquid crystal display (LCD) TVs with screens larger than 50 inches, the high resolution and steep price drop of LCD will lead LCD TVs to capture a larger market share than TVs with other display types. Finally, our results show that TVs with 40-inch screens are preferred over TVs with larger screens. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:362 / 376
页数:15
相关论文
共 25 条
[1]   NEW PRODUCT GROWTH FOR MODEL CONSUMER DURABLES [J].
BASS, FM .
MANAGEMENT SCIENCE SERIES A-THEORY, 1969, 15 (05) :215-227
[2]   HIGH-DEFINITION TELEVISION - ASSESSING DEMAND FORECASTS FOR A NEXT-GENERATION CONSUMER DURABLE [J].
BAYUS, BL .
MANAGEMENT SCIENCE, 1993, 39 (11) :1319-1333
[3]  
Eliashberg J., 1986, MARKET SCI, V5, P20, DOI DOI 10.1287/MKSC.5.1.20
[4]   HYBRID CORN - AN EXPLORATION IN THE ECONOMICS OF TECHNOLOGICAL-CHANGE [J].
GRILICHES, Z .
ECONOMETRICA, 1957, 25 (04) :501-522
[5]   Modelling diffusion and replacement [J].
Islam, T ;
Meade, N .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2000, 125 (03) :551-570
[6]   The diffusion of successive generations of a technology: A more general model [J].
Islam, T ;
Meade, N .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 1997, 56 (01) :49-60
[7]   EFFECT OF PRICE ON THE DEMAND FOR DURABLES - MODELING, ESTIMATION, AND FINDINGS [J].
JAIN, DC ;
RAO, RC .
JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1990, 8 (02) :163-170
[8]   Forecasting demand for low earth orbit mobile satellite service in Korea [J].
Jun, DB ;
Kim, SK ;
Park, MH ;
Bae, MS ;
Park, YS ;
Joo, YJ .
TELECOMMUNICATION SYSTEMS, 2000, 14 (1-4) :311-319
[9]   A choice-based diffusion model for multiple generations of products [J].
Jun, DB ;
Park, YS .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 1999, 61 (01) :45-58
[10]  
KIM WJ, 2005, IN PRESS TECHNOL FOR