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Analysis of Google's success factors and direction

  • LEE, Sang-Youn (Department of Business Administration, California United University) ;
  • KIM, Se-Jin (Department of Business Administration, California United University)
  • Received : 2020.01.15
  • Accepted : 2020.12.05
  • Published : 2020.12.30

Abstract

Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

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References

  1. Cho, S., & Kim, K. (2020). Socio-economic Factors Affecting Social Acceptance of Autonomous Vehicles in Korea. Journal of Transport Research, 27(3), 51-64. https://doi.org/10.34143/JTR.2020.27.3.51
  2. Choi, G. (2016). The Shock of AlphaGo: Possibilities and limitations of artificial intelligence. KISDI Premium Report. Sejong: Korea Information Society Development Institute.
  3. Chung, G., Lee, T., Park, C., & Kim, P. (2016). Changes in the smart car market and automakers' response direction following the advent of Google/Apple/Uber/Tesla, Information & communications magazine, 33(4), 3-9.
  4. Kim, K. (2019). Artificial intelligence-based technology and relief. Public Land Law Review, 85, 231-258.
  5. Lee, D. (2016). Google Self-driving Car Hits a Bus. Retrieved February 29, 2016 from http://www.bbc.com/news/technology-35692845
  6. Mehr, H. (2017). Artificial Intelligence for Citizen Services and Government. MA: Harvard Kennedy School Ash Center. 1-16.
  7. Perrault, R., Shoham, Y., Brynjolfsson, E., Clark, J., Etchemendy, J., Grosz, B., Lyons, T., Manyika, J., Mishra, S., & Niebles, J. C., The AI Index 2019 Annual Report. CA: AI Index Steering Committee, Human-Centered AI Institute, Stanford University, Stanford. 48-71.
  8. Seo, H. (2019). A Preliminary Discussion on Policy Decision Making of AI in The Fourth Industrial Revolution. Informatization Policy, 26(3), 3-35.
  9. Shladover, S. E., Su, D. & Lu, X. Y. (2012), Impacts of cooperative adaptive cruise control on freeway traffic flow. Transportation Research Record, 2324(1), 63-70. https://doi.org/10.3141/2324-08