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Detail
Journal Article
Empirical analysis of strategy selection for the technology leading and technology catch‐up in the IT industry
- Authors
- Byung-Sun Cho, Sang-Sup Cho, Sung-Sik Shin, Gang-hoon Kim
- Issue Date
- 2023-04
- Citation
- ETRI Journal, v.45, no.2, pp.267-276
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Abstract
- R&D strategies of companies with low and high technological levels are discussed based on the concept of technology convergence and divergence. However, empirically detecting enterprise technology convergence in the distribution of enterprise technology (total productivity increase) over time and identifying key change factors are challenging. This study used a novel statistical indicator that captures the internal technology distribution change with a single number to clearly measure the technology distribution peak as a change in critical bandwidth for enterprise technology convergence and presented it as evidence of each technology convergence or divergence. Furthermore, this study applied the quantitative technology convergence identification method. Technology convergence appeared from the separation of total corporate productivity distribution of 69 IT companies in Korea in 2019??2020 rather than in 2015??2016. Results indicated that when the total technological level was separated from the technology leading and technology catch-up, IT companies were found to be pursuing R&D strategies for technology catch-up.
- KSP Keywords
- Catch-up, IT companies, IT industry, Over time, Strategy selection, Technological level, Technology convergence, empirical analysis, identification method, statistical indicator
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
