Modeling intercategory and generational dynamics for a growing information technology industry

Nam Woon Kim, Dae Ryun Chang, Allan D. Shocker

Research output: Journal article publicationJournal articleAcademic researchpeer-review

103 Citations (Scopus)


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 incorporate both interproduct category and 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.
Original languageEnglish
Pages (from-to)496-512
Number of pages17
JournalManagement Science
Issue number4
Publication statusPublished - 1 Jan 2000

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research


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