디지털융복합연구 (Journal of Digital Convergence)

  • 제17권1호
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  • Pages.131-140
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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한국 대학생의 지식혼돈에 따른 미래의 지식활용 차이 예측의 시계열적 비교 분석

A Study on the Comparisons of Future Knowledge Utilizing Difference Predicted by Chaos of Knowledge of Korean University Students

  • Oh, Sang-young (Department of Business Administration, U1 University)
  • 투고 : 2018.10.18
  • 심사 : 2019.01.20
  • 발행 : 2019.01.28
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초록

지식정보시스템의 발달로 사람들이 기억하는 것을 거부하는 증상이 커지고 있다. 또한 지식을 기억해야 하는 가에 대한 논란도 커지고 있다. 본 연구는 기억하는 지식과 찾는 지식에 대한 선호도 조사를 하였다. 선호 집단 간에 미래에 나타날 지식 활용의 용도, 효과, 용이성에 대한 기대를 예측하였다. 이러한 미래에 나타날 지식 활용에 대한 예측된 기대가 집단 간의 차이를 보이는지 분석하였다. 1차 연구는 2014년 10월에 진행하였다. 이번 연구는 2차 연구이다. 1차 연구와 비교하여 어떤 변화가 있는지 연구하였다. 결과적으로 대학생의 지식 습득 선호도에 따라서 1)미래 시점에서 지식 활용의 다양성을 넓히는 것은 차이가 없고, 2)지식 활용의 효과를 기대하는 것과 3)지식의 지속적인 창출이 용이성에는 차이가 있는 것으로 나타났다. 본 연구 결과는 지식을 기억하는 것이 좋은 것인지를 논의할 수 있는 기초를 마련한 점이 중요하다고 할 수 있다.

The development of the knowledge information system is increasing the symptoms that people refuse to remember. There is also a growing debate about whether to remember knowledge. This study investigated the preference of memorizing knowledge and finding knowledge. We predicted the use, effect, and expectation of ease of use of knowledge utilization that will appear in the future among preference groups. We analyzed whether there is a difference between the predicted expectations of knowledge utilization in the future. The first study was conducted in October 2014. This is the second study. We studied what changes were made in comparison with the first study. As a result, it was found that 1) there is no difference in broadening the diversity of knowledge utilization at future time, 2) expectation of the effect of knowledge utilization, and 3) ease of continuous knowledge creation. The results of this study suggest that it is important to provide a basis for discussing whether it is good to remember knowledge.

키워드

Table 1. Final measurement variable

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Table 2. Knowledge preference survey result

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Table 3. t-test result of research hypothesis

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Table 4. Group statistical analysis results

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Table 5. Weights analysis result by pair comparison

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Table 6. Category setting for interpretation of 5-point scale results

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Table 7. Knowledge preference survey result

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Table 8. Think about the importance of classics(古典)

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Table 9. The idea that the knowledge information system raises the knowledge level

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Table 10. Thinking experience of knowledge preference

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Table 11. Memory degradation due to smart phone

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Table 12. T-test analysis between male and female groups

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Table 13. t-test result of research hypothesis

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Table 14. Group statistical analysis results

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Table 15. Independent sample t-test of knowledge utilization effectiveness

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Table 16. Effectiveness of knowledge utilization statistic analysis result

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Table 17. Independent sample t-test of knowledge creativity

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Table 18. Knowledge creativity statistical analysis result

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Table 19. 4-perspectives of knowledge acquisition and utilization

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Table 20. Weights analysis result by pair comparison

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참고문헌

  1. D. Drusma. (2006). Metaphor of Memory, Ecoribur.
  2. D. Tapscott. (2008). How Digital Technology Has Changed the Brain, Business-Week Online, www.businessweek.com
  3. G. C. Nicholas. (2011). The Shallows, Chungrim Publishing
  4. I. Nonaka. (1991). The Knowledge-Creating Company, HBR Nov.-Dec.
  5. I. Nonaka. (1994). A dynamic theory of organizational knowledge creation, Organization Science, 5(1), 14-37. https://doi.org/10.1287/orsc.5.1.14
  6. I. Nonaka & N. Konno. (1998). The concept of "Ba": Building a foundation for Knowledge Creation, California Management Review 40(3), 40-54. https://doi.org/10.2307/41165942
  7. I. Nonaka & H. Takeuchi. (1995). Theory of Organizational Knowledge Creation, The Knowledge-Creating Company, Oxford University Press, 56-94.
  8. I. Nonaka, R. Toyama & N. Konno. (2000). SECI, Ba and Leadership: a unified model of dynamic knowledge creation, Long Range Planning, 33, 5-34. https://doi.org/10.1016/S0024-6301(99)00115-6
  9. J. Battelle. (2008). Google: Making Nick Carr Stupid, but It's Made This Guy Smarter, http://battellemedai.com/archives/004494.php
  10. J. G. Sailsbury & G. A. Barnett. (1999). The world system of international monetary flows: a network analysis, The information society, 15(1), 31-49. https://doi.org/10.1080/019722499128655
  11. J. M. Mandler & G. H. Ritchey. (1977). Long-term memory for pictures. Journal of Experimental Psychology, Human Learning and Memory, 3, 386-396. https://doi.org/10.1037/0278-7393.3.4.386
  12. K. T. Cho, Y. G. Cho & H. S. Kang. (2003). Hierarchical analytical decision making, Dong Hyun Publishing, 170-171.
  13. L. Carmichael, H. P. Hogan, & A. A. Walter. (1932). An experimental study of the effect of language on the reproduction of visually perceived form, Journal of Experimental Psychology, 15, 73-86. https://doi.org/10.1037/h0072671
  14. M. A. Gernsbacher. (1985). Surface information loss in comprehension. Cognitive Psychology, 17, 324-363. https://doi.org/10.1016/0010-0285(85)90012-X
  15. M. Polanyi. (1966). The Tacit Dimension. London, Routledge & Kegan Paul.
  16. P. Druker. (1995). Future determination, Korea Economic Daily.
  17. P. Druker. (1993). Post-capitalist society, Korea Economic Daily.
  18. S. Karp. (2008). The Evolution from Linear Thought to Networked Thought, http://publishing2.com/208/02/09/blog
  19. S. Y. Choi, H. S. Lee & Y. J. Yoo. (2010). The impact of information technology and transactive memory systems on knowledge sharing, application and team performance: a field study, MIS Quarterly, 34, 855-870. https://doi.org/10.2307/25750708
  20. S. Y. Oh. (2014). The rise of knowledge chaos society, http://www.jbnews.com/news
  21. T. L. Saaty. (1980). Analytic Hierarchy Process, McGraw Hill.
  22. Y. S. KIM, D. S. Lim & S. K. Jang. (1998). Practice of knowledge management, Samsung Economic Research Institute.
  23. Y. T. Kim. (1999), Process of Knowledge Creation and Analysis of Key Factors, Master Thesis. Korea University, 11-12.
  24. Y. B. Shin. (2001). Chaos of knowledge, http://www.shinyoungbok.pe.kr
  25. 紺野登& 野中郁次郞, (1995). 知力經營, 日本經濟新聞社.
  26. 高梨智弘, (2002). 知の方程式の話, KM Report(Knowledge Management Society of Japan), 4-13.