정보과학회 논문지 (Journal of KIISE)

  • 제42권10호
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  • Pages.1207-1221
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  • 2015
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  • 2383-630X(pISSN)
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  • 2383-6296(eISSN)
한국정보과학회 (Korean Institute of Information Scientists and Engineers)
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노년층의 스마트 정보격차 요인 및 해소방안에 관한 실증적 연구

An Empirical Study on the Factors and Resolution Methods of the Smart Divide of Older Adults

  • 백기훈 (미래창조과학부 경인지방우정청) ;
  • 봉진숙 (숭실대학교 컴퓨터학과) ;
  • 신용태 (숭실대학교 컴퓨터학부)
  • 투고 : 2015.05.08
  • 심사 : 2015.08.19
  • 발행 : 2015.10.15
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 1990년대 이후 정보화 과정에 이어 2010년대 들어 스마트폰의 확산으로 스마트화가 급속히 전개되는 가운데 특히 2000년대 이후 신속히 진행 중인 고령화로 인하여 심각해지고 있는 만 65세이상 노년층의 스마트 정보격차의 요인을 분석하고 이에 대한 해소방안을 모색하고자 추진되었다. 기존 연구에서 노년층의 스마트폰에 대한 자기효능감, 교육, 접근성, 유희성, 비용 합리성, 정책적 지원 등 6개 요인을 도출하고 정보기술수용모델(TAM)을 토대로 연구모델을 정립한 후, 전국의 14개 노인종합복지관을 통하여 총 243명에게 설문조사를 실시하여 자료를 수집하였으며, 구조방정식모델(SEM) 분석을 통하여 가설을 검증하였다. 스마트폰에 대한 정책적 지원, 유희성, 자기효능감, 접근성, 비용 합리성, 그리고 교육 요인의 순서로 중요성이 우선시된 본 연구의 결과는 향후에 노년층의 스마트 정보격차에 대한 다양한 해소방안 모색에 활용될 수 있다.

This research was conducted both to analyze the determining factors of and to suggest resolution methods for the smart divide of adults over 65 years of age in the rapidly aging society of the 2000s and the smart society of the 2010s following the information society of the 1990s. The research model based on the Technology Acceptance Model (TAM) includes 6 determining factors derived from existing studies: Self Efficacy, Training, Accessibility, Playfulness, Cost Rationality, and Policy Support. Research data were collected through a survey given to a total of 243 older adults in 14 Senior Welfare Centers nationwide, and research hypotheses were verified by structural equation model (SEM) analysis. The results of this research that gives priority to the order of Political Support, Playfulness, Self Efficacy, Accessibility, Cost Rationality, and Training can be used to develop various resolution methods for the smart divide of adults over 65 years of age.

키워드

참고문헌

  1. M. Warschauer, "Digital Divide," Encyclopedia of Library and Information Sciences, 3rd Ed., pp. 1551-1556, Mar. 2010.
  2. H. J. LEE, K. S. Hong, J. W. LEE, Index and Survey of Digital Divide in 2013, National Information Society Agency, 2014. (in Korean)
  3. S. J. Cho. (2010, Oct. 14). Mobile Divide: A New Digital Divide in the Smartphone Era. [Online]. Available: http://saesayon.org/2010/10/14/10226/ (downloaded: 2013, Feb. 5)
  4. B. S. Kim and J. M. Kim, "A Study on Digital Divide Trigger Factor of Older People: focused on Technology Acceptance Model," The Social Science Researches, Vol. 35, No. 2, pp. 193-222, Aug. 2009. (in Korean)
  5. J. A. Kim, Y. H. Rho, D. J. Choi, B. Y. Jung and J. K. Kim, Aging and Digital Divide: the Analysis of Digital Divide Determinants, Korea Information Society Development Institute, Research Report 07-10, 2007. (in Korean)
  6. Hyundai Research Institute, The Shock and Insight from Smart Revolution, Knowledge Based Economy, Spring Ed., pp. 1-26. Hyundai Research Institute, 2011. (in Korean)
  7. Ministry of Science, ICT and Future Planning, The 5th Basic Plan on the National Information Society (2013-2017), Ministry of Science, ICT and Future Planning, 2013. (in Korean)
  8. C. S. Kim, "A Study on Improvement of Information Difference for Advanced Age," Journal of the Korea Institute of Electronic Communication Sciences, Vol. 3, No. 4, pp. 195-203, Dec. 2008. (in Korean)
  9. H. J. LEE, K. S. Hong, J. W. LEE, Survey on the Elderly People's Digital Divide in 2013, National Information Society Agency, 2014. (in Korean)
  10. S. U. Yun, "Research on the Acceptance Determinants of Mobile Internet: Focused on Technology Acceptance Model," Korea Media Science Bulletin, Vol. 48, No. 3, pp. 274-301, Jun. 2004. (in Korean)
  11. J. Y. Yu, H. Y. Kim, "Re-review on the Issue to solve Digital Divide in the Mobile Environment," Korea Information Society Development Institute, ICT Policy, Vol. 17, No. 15, Aug. 2005. (in Korean)
  12. M. S. Choi, A Study on the Influence of Factors Such as Personal Innovativeness, Social Influence and User Interface on Smart Phone Acceptance: Based on an Expanded Technology Acceptance Model, Ewha Womans University Doctoral Degree Thesis, 2011.
  13. S. M. Lee, "Analysis of the Effects of Smart Devices on Digital Divide in America," Journal of the Korea Institute of Library and Information Sciences, Vol. 43, No. 2, pp. 29-52, Jun. 2012. (in Korean) https://doi.org/10.16981/kliss.43.2.201206.29
  14. H. J. Kim, "A Study on UI Design Direction for Smart Phone considering Elderly Users: Based on Smart Phone User Experience Modelling of Elderly Users," Digital Design Science Research, Vol. 13, No. 4, pp. 405-413, Sep. 2013. (in Korean)
  15. S. C. Shin, "On the Dysfunction of Information in Smart Society: Focused on Information Divide of the Information Poor," Local Development Research, Vol. 13, No. 1, pp. 104-135, Dec. 2013. (in Korean)
  16. C. H. Park and S. J. Jang, "The Smart Media of Elderly and Digital Welfare: Focused on the Access and Use Gap of Smart Device," Mass Communication Science Research, Vol. 17, No. 4, pp. 79-105, Nov. 2013. (in Korean)
  17. C. Jyoti, P. Sutee, Z. Efpraxia and G. George, "Investigating the Adoption and Use of Smartphones in the UK: A Silver-surfers Perspective," Twenty Second European Conference on Information Systems, pp. 1-19, 2014.
  18. F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, Vol. 13, No. 3, pp. 319-340, Sep. 1989. https://doi.org/10.2307/249008
  19. F. D. Davis, R. P. Bagozzi, P. R. Warshaw, "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, pp. 982-1003, Aug. 1989. https://doi.org/10.1287/mnsc.35.8.982
  20. V. Venkatesh and F. D. Davis, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, Vol. 46, No. 2, pp. 186-204, Feb. 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  21. V. Venkatesh and H. Bala, "Technology Acceptance Model 3 and a Research Agenda on Interventions," Decision Sciences, Vol. 39, No. 2, pp. 273-315, May 2008. https://doi.org/10.1111/j.1540-5915.2008.00192.x
  22. M. Igbaria, T. Guimaraes and G. B. Davis, "Testing the Determinants of Microcomputer Usage via a Structural Equation Model," Journal of Management Information Systems, Spring 1995, Vol. 11, No. 4, pp. 87-114, 1995. https://doi.org/10.1080/07421222.1995.11518061
  23. K. H. Seo, A Study of the Influence of Individual Characteristics of Military Officers on the Digital Divide: Focused on Technology Acceptance Model, Soongsil University Doctoral Degree Thesis, 2011. (in Korean)
  24. M. S. Kim, "A Study on the IPTV Use Perception and Factors influencing IPTV Adoption," Journal of the Korea Institute of Mass Communication and Information, Vol. 52, Winter 2010, pp. 177-202, 2010. (in Korean)
  25. C. H. Nam, "A Study on Factors Influencing DMB Adoption: Focused on Comparison between S-DMB and T-DMB," Media Science Research, Vol. 7, No. 2, pp. 143-188, Jun. 2007.
  26. J. S, Lee and M. Y. Lee, "A Study on Factors influencing on Acceptance Intention of IPTV using the Expanded TAM," Broadcasting and Communication, Vol. 7, No. 1, pp. 100-131, Jun. 2006. (in Korean)
  27. D. H. Bae, "User Acceptance of Smart Phone: Integrated Trust, Self-efficacy and Flow with TAM," The e-Business Studies, Vol. 14, No. 2, pp. 47-68, Jun. 2013. (in Korean) https://doi.org/10.15719/geba.14.2.201306.47