Modeling intercategory and generational dynamics for a growing information technology industry
Publication Type
Journal Article
Publication Date
1-2000
Abstract
Previous studies dealing with product growth have dealt only with substitution effects among successive generations of one product category and not with complementarity and competition provided by related product categories.Based on a broadened concept of the competitive information technology (IT) market, we develop a dynamic market growth model that is able to incorporateboth interproduct categoryand technological substitution effects simultaneously. The market potential for each category or generation is treated as a variable rather than a constant parameter, which is typical of recently growing IT sectors such as wireless telecommunications. The model is calibrated, its plausibility discussed, and its face and predictive validity assessed using data on wireless telecommunications services from two Asian markets.Results show that the market potential (and sales growth) of one category or generation is significantly affected by others and by the overall structure of a geographic market. The model is shown to make relatively good predictions even when the data from recently introduced categories/generations are limited.
Discipline
Business Administration, Management, and Operations
Research Areas
Operations Management
Publication
Management Science
Volume
46
Issue
4
First Page
496
Last Page
512
ISSN
0025-1909
Identifier
10.1287/mnsc.46.4.496.12059
Publisher
INFORMS
Citation
Kim, Namwoon; CHANG, Dae Ryun; and Shocker, Allan.
Modeling intercategory and generational dynamics for a growing information technology industry. (2000). Management Science. 46, (4), 496-512.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/2929