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http://dx.doi.org/10.9723/jksiis.2020.25.3.011

Measuring Inter-industry Convergence using Structural Holes Theory: Focusing on ICT Industries  

Lee, Dong Hyun (경북대학교 경영학부)
Lee, Sang-Gun (서강대학교 경영학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.25, no.3, 2020 , pp. 11-19 More about this Journal
Abstract
This study seeks to measure inter-industry convergence systematically and quantitatively using structural holes theory. ICT industries were classified into ICT manufacturing and ICT service then efficiency and constraints were calculated using input-output tables. The results of the study revealed both ICT industries have very high information and control benefits in the process of industrial convergence, proving to be key industries with competitive advantage. Further implications were presented based on comparative analysis between ICT manufacturing and service and trend analysis over the past 15 years.
Keywords
Industrial convergence; ICT industry; Structural holes;
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Times Cited By KSCI : 8  (Citation Analysis)
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1 Burt, R. S. (1992). Structural Holes: The Social Structure of Competition, Cambridge, MA, Harvard University Press.
2 Burt, R. S. (2000). The Network Structure of Social Capital, Research in Organizational Behavior, 22, 345-423   DOI
3 Burt, R. S., Hogarth, R. M., and Michaud, C. (2000). The Social Capital of French and American Managers, Organization Science, 11(2), 123-147.   DOI
4 Burt, R. S. (2004). Structural Holes and Good Ideas, American Journal of Sociology, 110(2), 349-399.   DOI
5 Burt, R. S. (2007). Secondhand Brokerage: Evidence on the Importance of Local Structure for Managers, Bankers, and Analysts, Academy of Management Journal, 50(1), 119-148. doi:10.5465/AMJ.2007.24162082   DOI
6 Chang, P.-L. and Shih, H.-Y. (2005). Comparing Patterns of Intersectoral Innovation Diffusion in Taiwan and China: A Network Analysis, Technovation, 25(2), 155-169. doi:10.1016/S0166-4972(03)00077-4   DOI
7 Garcia-Muniz, A. S., and Vicente, M. R. (2014). ICT Technologies in Europe: A Study of Technological Diffusion and Economic Growth under Network Theory, Telecommunications Policy, 38(4), 360-370. doi:https://doi.org/10.1016/j.telpol.2013.12.003   DOI
8 Hwang, S.-H. (2017). An Analysis of Convergence Phenomenon using Industrial Convergence Coefficient, Journal of the Korea Contents Association, 17(3), 666-674.   DOI
9 Im J.-W., and Lee, S.-G. (2018). A Competitive Study on the Linkage Effects of Primary Industry among Korea, China and Japan, Journal of the Korea Industrial Information Systems Research, 23(5), 103-118.   DOI
10 Jeon, S., Kim, S. T., and Lee, D. H. (2011). Web 2.0 Business Models and Value Creation, International Journal of Information and Decision Sciences, 3(1), 70-84.   DOI
11 Kim, S.-H., and Kim, J.-H. (2009). A IT Support Policy for R&D Competence: Steel Industry Case, Journal of the Korea Industrial Information Systems Research, 14(4), 143-152.
12 Lee, C., and Kim, S. (2019). An Empirical Study on the Quality Attributes of Museum Service by ICT: Comparisons of South Korea and Austria, Journal of the Korea Industrial Information Systems Research, 24(1), 65-79.   DOI
13 Lee, D. H., Hong, G. Y., and Lee, S.-G. (2019). The Relationship among Competitive Advantage, Catch-Up, and Linkage Effects: A Comparative Study on ICT Industry between South Korea and India, Service Business, 13(3), 603-624. doi:10.1007/s11628-019-00397-2   DOI
14 Lee, D. H., Lee, H., and Kim, J. (2016). A Trend Analysis of the Knowledge Management Research using Graph Theory and Network Model, Knowledge Management Research, 17(1), 1-16.   DOI
15 Li, Y. F., Lee, S. G., and Kong, M. (2019). The Industrial Impact and Competitive Advantage of China's ICT Industry, Service Business, 13(1), 101-127. doi:10.1007/s11628-018-0368-7   DOI
16 Muniz, A. S. G., Raya, A. M., and Carvajal, C. R. (2010). Spanish and European Innovation Diffusion: A Structural Hole Approach in the Input-Output Field, Annals of Regional Science, 44(1), 147-165. doi:10.1007/s00168-008-0247-6   DOI
17 Shin, Y. J., and Lee, D. H. (2016). The Role of the Digital Culture Contents Industry in the Knowledge Economy: An Input-output Analysis, Knowledge Management Research, 17(1), 73-89.
18 Soda, G., Usai, A., and Zaheer, A. (2004). Network memory: The Influence of Past and Current Networks on Performance, Academy of Management Journal, 47(6), 893-906. doi:10.5465/20159629   DOI
19 Soofi, A. S., and Ghazinoory, S. (2011). The Network of the Iranian Techno-Economic System, Technological Forecasting and Social Change, 78(4), 591-609. doi:https://doi.org/10.1016/j.techfore.2010.11.005   DOI
20 Timmer, M. P., Dietzenbacher, E., Los, B., Stehrer, R., and de Vries, G. J. (2015). An Illustrated User Guide to the World Input-Output Database: The Case of Global Automotive Production, Review of International Economics, 23(3), 575-605. doi:10.1111/roie.12178   DOI
21 Zaheer, A., and Soda, G. (2009). Network Evolution: The Origins of Structural Holes, Administrative Science Quarterly, 54(1), 1-31. doi:10.2189/asqu.2009.54.1.1   DOI