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The knowledge network dynamics in a mobile ecosystem: a patent citation analysis

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Abstract

The paradigm of the mobile ecosystem is rapidly changing, especially since the uction of smart devices. New important players are emerging, and the scope of the mobile ecosystem is expanding and encroaching on the technological boundaries of other IT ecosystems. However, our understanding of the mobile ecosystem has been limited given the few existing studies. Therefore, in this paper, we empirically examine the network structure of a mobile ecosystem by measuring the technology knowledge flows between firms based on a patent citation analysis of the mobile industry. We found that platform providers are emerging as the center of the knowledge flow activity in the ecosystem. By introducing a new network index, the Network Concentration Index, which measures a firm’s knowledge concentration ratio toward subsectors, we also found that each platform provider shows distinctive changing patterns in their technology knowledge network and that each is forming its own sub-network with increased influence on affiliated firms.

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References

  • Archibugi, D., & Pianta, M. (1996). Measuring technological change through patents and innovation surveys. Technovation, 16(9), 451–468.

    Article  Google Scholar 

  • Basberg, B. (1984). Patent statistics and the measurement of technological change: An assessment of the Norwegian patent data, 1840–1980. World Patent Information, 6, 158–164.

    Article  Google Scholar 

  • Basberg, B. (1987). Patents and the measurement of technological change: A survey of the literature. Research Policy, 16, 131–141.

    Article  Google Scholar 

  • Basole, R. (2009). Visualization of interfirm relations in a converging mobile ecosystem. Journal of Information Technology, 24, 144–159.

    Article  Google Scholar 

  • Basole, R., & Karla, J. (2011). On the evolution of mobile platform ecosystem structure and strategy. Business and Information Systems Engineering, 5, 313–322.

    Article  Google Scholar 

  • Bergeron, S., Lallich, S., & Le Bas, C. (1998). Location of innovating activities, industrial structure and techno-industrial clusters in the French economy, 1985–1990: Evidence from US patenting. Research Policy, 26, 733–751.

    Article  Google Scholar 

  • Chen, B. X. (2014). Apple’s war on Samsung has Google in crossfire. The New York Times. http://www.nytimes.com/2014/03/31/technology/apples-war-on-samsung-has-google-in-crossfire.html

  • Chen, D., Chang, H., Huang, M., & Fu, F. (2005). Core technologies and key industries in Taiwan from 1978 to 2002: A perspective from patent analysis. Scientometrics, 64, 31–53.

    Article  Google Scholar 

  • Chen, S., Huang, M., & Chen, D. (2012). Identifying and visualizing technology evolution: A case study of smart grid technology. Technological Forecasting and Social Change, 79(6), 1099–1110.

    Article  Google Scholar 

  • Cho, Y., & Kim, W. (2014). Technology–industry networks in technology commercialization: Evidence from Korean university patents. Scientometrics, 98(3), 1785–1810.

    Article  Google Scholar 

  • Cho, Y., Kim, E., & Kim, W. (2015). Strategy transformation under technological convergence: evidence from the printed electronics industry. International Journal of Technology Management, 67(2–4), 106–131.

    Article  Google Scholar 

  • Cusumano, M. (2010). Technology strategy and management: The evolution of platform thinking. Communications of the ACM, 53(1), 32–34.

    Article  Google Scholar 

  • Cusumano, M., & Suarez, F. (2009). The role of services in platform markets. In A. Gawer (Ed.), Platforms, markets and innovation. Cheltenham: Edward Elgar.

    Google Scholar 

  • Feijoo, C., Pascu, C., Misuraca, G., & Lusoli, W. (2009). The next paradigm shift in the mobile ecosystem: Mobile social computing and the increasing relevance of users. Communication and Strategies, 75(3), 57–77.

    Google Scholar 

  • Fransman, M. (2001). Analysing the evolution of industry: The relevance of the telecommunications industry. Economics of Innovation and New Technology, 10(2–3), 109–140.

    Article  Google Scholar 

  • Fransman, M. (2010). The new ICT ecosystem: Implications for policy and regulation. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Freeman, L. (1979). Centrality in social networks conceptual clarification. Social Networks, 1, 215–239.

    Article  Google Scholar 

  • Gambardella, A., & Torrisi, S. (1998). Does technological convergence imply convergence in market? Evidence from the electronics industry. Research Policy, 27, 445–464.

    Article  Google Scholar 

  • Gangulli, P. (2004). Patents and patent information in 1979 and 2004: A perspective from India. World Patent Information, 26(1), 61–62.

    Article  Google Scholar 

  • Garcia-Vega, M. (2006). Does technological diversification promote innovation? An empirical analysis for European firms. Research Policy, 35, 230–246.

    Article  Google Scholar 

  • Gay, B., & Dousset, B. (2005). Innovation and network structural dynamics: Study of the alliance network of a major sector of the biotechnology industry. Research Policy, 34(10), 1457–1475.

    Article  Google Scholar 

  • Grupp, H., Lacasa, D., & Schmoch, U. (2003). Tracing technological change over long periods in Germany in chemicals using patent statistics. Scientometrics, 57, 175–195.

    Article  Google Scholar 

  • Gunasekaran, V., & Harmantzis, F. (2008). Towards ad Wi-Fi ecosystem: Technology integration and emerging service models. Telecommunications Policy, 32(3–4), 163–181.

    Article  Google Scholar 

  • Hacklin, F., Marxt, C., & Fahrni, F. (2009). Coevolutionary cycles of convergence: An extrapolation from the ICT industry. Technological Forecasting and Social Change, 76(6), 723–736.

    Article  Google Scholar 

  • Hall, B. (2002). A note on the bias in the Herfindahl based on count data. In A. Jeffe & M. Trajtenberg (Eds.), Patents, citations, and innovation. Cambridge, MA: MIT Press.

    Google Scholar 

  • Hardware Top 100. (2010). The top companies in the hardware industry—2010 edition. http://www.hardwaretop100.org/hardware-companies-top-100-2010-edition.php

  • Haydn, S. (2013). Who has the winning innovation model, Google, Apple, or Samsung? Forbes. http://www.forbes.com/sites/haydnshaughnessy/2013/03/07/who-has-the-winning-innovation-model-google-apple-or-samsung/

  • Hirschman, A. (1945). National power and the structure of foreign trade. Berkeley: University of California Press.

    Google Scholar 

  • Hu, M. (2008). Knowledge flows and innovation capability: The patenting trajectory of Taiwan’s thin film transistor-liquid crystal display industry. Technological Forecasting and Social Change, 75(9), 1423–1438.

    Article  Google Scholar 

  • Iansiti, M., & Levien, R. (2004a). The keystone advantage: What new dynamics of business ecosystems mean for strategy, innovation, and sustainability. Boston, MA: Harvard Business School Press.

    Google Scholar 

  • Iansiti, M., & Levien, R. (2004b). Strategy as ecology. Harvard Business Review, 82(3), 68–78.

    Google Scholar 

  • Jaffe, A., Trajtenberg, M., & Henderson, R. (1993). Geographic localization of knowledge Spillovers as evidenced by patent citations. Quarterly Journal of Economics, 108(3), 577–598.

    Article  Google Scholar 

  • Kenny, M., & Pon, B. (2011). Structuring the smartphone industry: Is the mobile internet OS platform the key? Journal of Industry, Competition and Trade, 11(3), 239–261.

    Article  Google Scholar 

  • Kim, E., Cho, Y., & Kim, W. (2014). Dynamic patterns of technological convergence in printed electronics technologies: Patent citation network. Scientometrics, 98(2), 975–998.

    Article  Google Scholar 

  • Kim, M., & Park, Y. (2009). The changing patterns of industrial technology linkage structure of Korea: Did the ICT industry play a role in the 1980s and 1990s? Technological Forecasting and Social Change, 76(5), 688–699.

    Article  Google Scholar 

  • Kim, N., Lee, H., Kim, W., Lee, H., & Suh, J. H. (2015). Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data. Research Policy, 44(9), 1734–1748.

    Article  Google Scholar 

  • Kim, W., & Kim, M. (2015). Reference quality-based competitive market structure for innovation driven markets. International Journal of Research in Marketing, 32(3), 284–296.

    Article  Google Scholar 

  • Kim, W., & Lee, J. D. (2009). Measuring the role of technology-push and demand-pull in the dynamic development of the semiconductor industry: The case of the global dram market. Journal of Applied Economics, 12(1), 83–108.

    Article  Google Scholar 

  • Kim, W. J., Lee, J. D., & Kim, T. Y. (2005). Demand forecasting for multigenerational products combining discrete choice and dynamics of diffusion under technological trajectories. Technological Forecasting and Social Change, 72(7), 825–849.

    Article  Google Scholar 

  • Kim, Y., Kim, W., & Yang, T. (2012). The effect of the triple helix system and habitat on regional entrepreneurship: Empirical evidence from the US. Research Policy, 41(1), 154–166.

    Article  Google Scholar 

  • Kruskal, W., & Wallis, W. (1952). Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47(260), 583–621.

    Article  MATH  Google Scholar 

  • Kwak, K., & Kim, W. (2016). Effect of service integration strategy on industrial firm performance. Journal of Service Management, 27(3), 391–430.

    Article  Google Scholar 

  • Lee, H., Kim, N., Kwak, K., Kim, W., Soh, H., & Park, K. (2016a). Diffusion patterns in convergence among high-technology industries: A co-occurrence-based analysis of newspaper article data. Sustainability, 8(10), 1029.

    Article  Google Scholar 

  • Lee, S., Kim, W., Lee, H., & Jeon, J. (2016b). Identifying the structure of knowledge networks in the US mobile ecosystems: Patent citation analysis. Technology Analysis & Strategic Management, 28(4), 411–434.

    Article  Google Scholar 

  • Li, Y. (2009). The technological roadmap of Cisco’s business ecosystem. Technovation, 29, 379–386.

    Article  Google Scholar 

  • Li, F., & Whalley, J. (2002). Deconstruction of the telecommunications industry: From value chains to value networks. Telecommunications Policy, 26(9–10), 451–472.

    Article  Google Scholar 

  • Maitland, C. F., Bauer, J. M., & Westerveld, R. (2002). The European market for mobile data: Evolving value chains and industry structures. Telecommunications Policy, 26(9–10), 485–504.

    Article  Google Scholar 

  • Moore, J. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75–86.

    Google Scholar 

  • Moore, J. (1996). The death of competition: Leadership and strategy in the age of business ecosystems. New York: HarperCollins.

    Google Scholar 

  • Nielsen. (2010). In U.S. Smartphone market, android is top operating system, Apple is top manufacturer. http://www.nielsen.com/us/en/insights/news/2011/in-u-s-smartphone-market-android-is-top-operating-system-apple-is-top-manufacturer.html

  • Nielsen. (2013). Mobile majority: U.S. Smartphone ownership tops 60%. http://www.nielsen.com/us/en/newswire/2013/mobile-majority–u-s–smartphone-ownership-tops-60-.html

  • No, H., & Park, Y. (2010). Trajectory patterns of technology fusion: Trend analysis and taxonomical grouping in nanobiotechnology. Technological Forecasting and Social Change, 77(1), 63–75.

    Article  Google Scholar 

  • Oh, C., Cho, Y., & Kim, W. (2015). The effect of a firm’s strategic innovation decisions on its market performance. Technology Analysis & Strategic Management, 27(1), 39–53.

    Article  Google Scholar 

  • Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116–145.

    Article  Google Scholar 

  • Peltoniemi, M. (2006). Preliminary theoretical framework for the study of business ecosystems. Emergence: Complexity and Organization, 8(1), 10–19.

    Google Scholar 

  • Peppard, J., & Rylander, A. (2006). From value chain to value network: Insights for mobile operators. European Management Journal, 24(2–3), 128–141.

    Article  Google Scholar 

  • Rogers, E., & Kincaid, D. (1981). Communication networks: Toward a new paradigm for research. New York: Free Press.

    Google Scholar 

  • Rosenkopf, L., & Padula, G. (2008). Investigating the microstructure of network evolution: Alliance formation in the mobile communications industry. Organization Science, 19(5), 1–19.

    Article  Google Scholar 

  • Services Top 100. (2009). The top companies in the IT service industry. http://www.servicestop100.org/it-services-companies-top-100.php

  • Strogatz, S. (2001). Exploring complex networks. Nature, 410, 268–276.

    Article  Google Scholar 

  • Tansley, A. G. (1935). The use and abuse of vegetational concepts and terms. Ecology, 16(3), 284–307.

    Article  Google Scholar 

  • Tiwana, A., Konsynski, B., & Bush, A. (2010). Platform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Information System Research, 21(4), 675–687.

    Article  Google Scholar 

  • Traitenberg, M., Henderson, R., & Jaffe, A. (1997). University versus corporate patent: A window on the basicness of invention. Economics of Innovation and New Technology, 5(1), 19–50.

    Article  Google Scholar 

  • Tsatsou, P., Elaluf-Calderwood, S., & Liebenau, J. (2010). Towards a taxonomy for regulatory issues in a digital business ecosystem in the EU. Journal of Information Technology, 25, 288–307.

    Article  Google Scholar 

  • Tseng, C. (2009). Technological innovation and knowledge network in Asia: Evidence from comparison of information and communication technologies among six countries. Technological Forecasting and Social Change, 76(5), 654–663.

    Article  Google Scholar 

  • Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in Complex Systems, 10(1), 93–115.

    Article  MATH  Google Scholar 

  • Vidgen, R., & Wang, X. (2006). From business process management to business process ecosystem. Journal of Information Technology, 21, 262–271.

    Article  Google Scholar 

  • Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. New York: Cambridge University Press.

    Book  MATH  Google Scholar 

  • Watanabe, C., Matsumoto, K., & Hur, J. (2004). Technological diversification and assimilation of spillover technology: Canon’s scenario for sustainable growth. Technological Forecasting and Social Change, 71(9), 941–959.

    Article  Google Scholar 

  • Zhang, J., & Liang, X. (2011). Business ecosystem strategies of mobile network operators in the 3G era: The case of China Mobile. Telecommunications Policy, 35, 156–171.

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2015-S1A3A-2046742).

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Correspondence to Wonjoon Kim.

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Lee, S., Kim, W. The knowledge network dynamics in a mobile ecosystem: a patent citation analysis. Scientometrics 111, 717–742 (2017). https://doi.org/10.1007/s11192-017-2270-9

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