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The study of consumer types according to the level of digital divide

디지털 정보격차 수준에 따른 소비자유형 연구

  • Baek, Ji-Yeon (Dept. of Consumer Science, Chungnam National University) ;
  • Jang, Eun-Gyo (Dept. of Consumer Science, Chungnam National University) ;
  • Lee, Jin-Myong (Dept. of Consumer Science, Chungnam National University)
  • Received : 2022.01.24
  • Accepted : 2022.04.20
  • Published : 2022.04.28

Abstract

The purpose of this study is to propose an effective informatization policy by categorizing consumer groups according to the level of digital divide and identifying the characteristics of each type. For this end, a total of 402 data were collected through an online and on-site surveys targeting consumers with internet experience, and the data were analyzed using the SPSS 26.0 program. As a result of conducting a K-means cluster analysis based on access to, capability, and utilization of digital devices, four consumer groups were categorized: 'device lover', 'proficient user', 'general user', and 'digital alienated'. By consumer type, significant differences were found in demographic characteristics, social capital, perception of the future information society, attitude toward technology as innovativeness, discomfort and familiarity, which are the antecedent variables of the digital divide. Significant differences in digital device satisfaction and intention to use, which are outcome variables of the digital divide, were also confirmed by consumer type. This study is academically and practically valuable in that it proposes customized informatization policies for each consumer group according to the level of digitization.

본 연구는 디지털 정보격차 수준에 따라 소비자집단을 유형화하고 유형별 특성을 파악하는 것을 통해 실효적인 디지털 정보화 정책을 제안하는 것을 목적으로 한다. 이를 위해 인터넷 이용 경험이 있는 소비자를 대상으로 온라인 및 현장 설문조사를 통해 총 402부의 자료를 수집하고 SPSS 26.0 프로그램을 이용하여 자료를 분석하였다. 디지털 기기에의 접근, 역량, 활용수준을 기준으로 K-평균 군집분석을 실시한 결과 '기기애호형','능숙활용형', '일반형', '디지털소외형'의 4개 소비자집단이 유형화되었다. 소비자유형별로 디지털 정보격차의 선행변수인 인구통계적 특성, 사회적 자본, 미래정보사회에 대한 인식, 기술에 대한 혁신성, 불편감, 친밀감의 유의한 차이가 확인되었다. 또한, 소비자유형별로 디지털 정보격차의 결과변수인 디지털 기기활용 만족도와 기기이용의도의 유의한 차이가 나타났다. 본 연구는 디지털 정보격차 수준에 따른 소비자유형을 도출하고 소비자유형별로 맞춤화된 학술적, 실무적 정보격차 해소방안을 제안한다는 점에서 의의를 가진다.

Keywords

References

  1. A. R. Choi. (2020). Factors influencing the life satisfaction of middle and old people in the intelligent information society: Digital Convergence Research, focusing on the perception and attitude of future intelligent information technology. Journal of Digital Convergence, 18(12), 11-19. DOI : 10.14400/JDC.2020.18.12.011.
  2. Y. I. Bae & H. L. Shin. (2021). Shadow of the non-face-to-face era, digital alienation. Gyeong-gi Research Institute.
  3. National Information Society Agency. (2020). 2020 Digital Information Gap Survey Report. National Information Society Agency.
  4. S. Molnar. (2003). The explanation frame of the digital divide. Proceedings of the IFIP Summer School, Risks and Challenges of Networked Society. Retrieved on August 10, 2019 from https://www.academia.edu/1308255/The_explanation_frame_of_the_digital_divide.
  5. Y. N. Kim & E. J. Byun. (2021). A study on the influencing factors of digital information capabilities and digital information utilization of the elderly. Journal of Digital Convergence, 19(3), 89-97. DOI : 10.14400/JDC.2021.19.3.089.
  6. S. J. Lee & E. H. Youk. (2014). Digital capability divide and digital outcome divide: Gaps in the digital capability and its effects on informational support. Korean Journal of Journalism & Communication Studies, 58(5), 206-232.
  7. H. J. Kwon, H. J. Kim & H. C. Kim. (2015). The structural relationships of student's psychological factor and the second digital divide: based on the results of intention to use, self-efficacy, and information desire. The Journal of Yeolin Education, 23(1), 235-260.
  8. S. K. Kim, H. R. Shin & Y. S. Kim. (2021). Effect of the elderly's attitude toward using digital devices on life satisfaction: Mediation effect of digital device usability. Information System Research, 30(1), 85-104. DOI : 10.5859/kais.2021.30.1.85.
  9. P. S. Kim, H. S. Kim & M. S. Lee. (2014). The effect of the elderly's information application level on quality of life. Journal of Korean Association for Regional Information Society, 17(1), 25-47. DOI : 10.22896/karis.2014.17.1.002.
  10. B. Niehaves & R. Plattfaut. (2014). Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems, 23(6), 708-726. https://doi.org/10.1057/ejis.2013.19
  11. M. S. Lee. (2020). Study on the influence of the digital gap on the knowledge gap - Focusing on the knowledge gap on the intelligent information society. Social Science Research, 36(2), 121-145. DOI : 10.18859/ssrr.2020.5.36.2.119.
  12. J. H. Go & S. J. Park. (2020). Effect of social support on the use of digital information by the elderly: Focusing on the mediating effect of digital use motivation. National Policy Research Institute. 34(2), 121-149. DOI : 10.17327/IPPA.2020.34.2.005.
  13. H. S. Lee, S. H. Lee & Y. H, Jung. (2020). A study on the relationship between the level of digital informatization and interpersonal satisfaction of the disabled. Journal of Digital Convergence, 18(3), 43-48. DOI : 10.14400/JDC.2020.18.3.043.
  14. Y. J. Shin. (2017). Development of new policy indicators to bridge the informatization gap between married migrant women. Journal of the Korean Society of Immigration Policy, 2(1), 1-30.
  15. G. Y. Kim. (2019). It's hard to use a kiosk. Even for young people, digital alienation. Asiae(Online). https://www.asiae.co.kr/article/2019111010433281880.
  16. R. Carveth & S. B. Kretchmer. (2002). The digital divide in Western Europe: problems and prospects. Informing Science, 5(3), 239-249. DOI : 10.4324/9780203069769-12.
  17. P. DiMaggio, E. Hargittai, W. R. Neuman & J. P. Robinson. (2001). Social implications of the Internet. Annual review of sociology, 27(1), 307-336. DOI : 10.1146/annurev.soc.27.1.307.
  18. T. Correa, A. W. Hinsley & H. G. De-Zuniga. (2010). Who interacts on the Web?: The intersection of users' personality and social media use. Computers in human behavior, 26(2), 247-253. DOI : 10.1016/j.chb.2009.09.003.
  19. Y. H. Lee & J. Y. Wu. (2012). The effect of individual differences in the inner and outer states of ICT on engagement in online reading activities and PISA 2009 reading literacy: Exploring the relationship between the old and new reading literacy. Learning and Individual Differences, 22(3), 336-342. DOI : 10.1016/j.lindif.2012.01.007.
  20. J. A. Van Dijk. (2012). The evolution of the digital divide: the digital divide turns to inequality of skills and usage. Ebook: IOS Press.
  21. P. S. Kim, H. S. Kim & M. S. Lee. (2014). The effect of the elderly's information application level on quality of life. Journal of Korean Association for Regional Information Society, 17(1), 25-47.
  22. L. A. Lievrouw & S. E. Farb. (2003). Information and equity. Annual Review of Information Science and Technology, 37(1), 499-540. DOI : 10.1002/aris.1440370112.
  23. C. T. Hsin, M. C. Li & C. C. Tsai. (2014). The influence of young children's use of technology on their learning: A review. Journal of Educational Technology & Society, 17(4), 85-99.
  24. B. Niehaves & R. Plattfaut. (2014). Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems, 23(6), 708-726. https://doi.org/10.1057/ejis.2013.19
  25. K. S. Park & Y. R. Park. (2016). Research on the social network and health of the elderly in rural areas Focusing on the comparison of male and female elderly. Welfare Study for the Elderly, 71(1), 189-213.
  26. T. N. Friemel. (2016). The digital divide has grown old: Determinants of a digital divide among seniors. New media & society, 18(2), 313-331. DOI : 10.1177/1461444814538648.
  27. A. H. Abdul-Gader & K. A. Kozar. (1995). The impact of computer alienation on information technology investment decisions: An exploratory cross-national analysis. MIS Quarterly, 535-559. DOI : 10.2307/249632.
  28. P. Aggarwal & A. L. McGill. (2007). Is that car smiling at me? Schema congruity as a basis for evaluating anthropomorphized products. Journal of consumer research, 34(4), 468-479. DOI : 10.1086/518544.
  29. J. H. Kim & M. R. Song. (2008). Exploring new opinion leaders online: Through their influence on the spread of word of mouth. Consumer Studies, 19, 93-113.
  30. J. M. Lee, S. Y. Park & J. Y. Na. (2017). Consumer's innovation resistance and acceptance intention for smartwatches: Focusing on the types of consumers according to utility and cost recognition. Consumer Studies, 28(2), 111-132.
  31. S. J. Park, S. J. Kim, J. H. Ko & K. J. Kwon. (2020). Effect of the types of digital information utilization on life satisfaction by generation. Korean Journal of Public Management, 34(3), 49-81. DOI : 10.24210/KAPM.2020.34.3.003.
  32. H. S. Go & C. J. Kim. (2019). A study on the generational difference between the use of the Internet and the privacy paradox. Journal of Multimedia Society, 22(9), 1046-1054. DOI : 10.9717/kmms.2019.22.9.1046.
  33. S. S. Kim, G. S. Han, B. S. Kim, S. G. Park & S. G. Ann. (2011). An empirical study on the intention to use mobile applications. Journal of the Korean Society of Information Technology, 9(8), 213-228.
  34. M. Tarafdar, Q. Tu, B. S. Ragu-Nathan & T. S. Ragu-Nathan. (2007). The impact of technostress on role stress and productivity. Journal of management information systems, 24(1), 301-328. DOI : 10.2753/mis0742-1222240109.
  35. T. S. Ragu-Nathan, M. Tarafdar, B. S. Ragu-Nathan & Q. Tu. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information systems research, 19(4), 417-433. DOI : 10.1287/isre.1070.0165.
  36. Y. J. Song & S. J. Choi. (2020). Effect of personification and self-exposure of chatbots on consumer perception and attitude toward chatbots. Paper of the Korean HCI Society, 15(1), 17-28.