코비드-19 이후 디지털 서비스 이용량의 변화에 영향을 미치는 요인: 세대 간 격차를 중심으로
Changes in the use of digital services among generations after COVID-19: implications for the digital divide policy
0
조회
0
다운로드
5
인용
0
참고문헌
키워드
초록
본 연구는 코비드-19를 전후하여 디지털 서비스 이용량의 변화를 설명하는 요인이 무엇인지를, ‘세대(generation)’ 를 중심으로 알아보고자 한다. 데이터는 한국지능정보사회진흥원에서 매년 실시하는 ‘디지털 정보격차 실태조사’의 2020년도 원자료를 이용하였다. 분석 결과, ‘PC 활용량’을 제외한 대부분의 이용 관련 변수들이 변화량에 긍정적인(+) 영향을 미치는 것으로 나타났다. 세대 변수는 변화량에 유의미한 부적(-) 영향을 미쳤다. Z세대에서 SG(Silent Gneration) 세대로 갈수록 코비드-19 전후의 변화량이 낮게 나타났다. 스마트폰을 일상적으로 사용해 온 Y세대(1982∼1995년생)가 Z세대(1996년 이후 생)보다 더 큰 증가폭을 보였다. 상대적으로 ‘SG세대(1945년 이전 생)’는 증가의 정도가 가장 낮았으며, 베이비 부머와도 통계적으로 유의한 차이를 보였다. 또한 세대는 이용성과와 디지털 서비스 이용량의 변화를 부적으로(-) 조절하는 상호작용 변수로 나타났다. 디지털 서비스의 이용성과가 코비드-19 이후 디기털 서비스의 변화량에 가장 큰 영향을 미치지만, Z세대에서 침묵세대(SG)로 갈수록 그 정도가 완만해 진다는 것이다. 이러한 연구 결과는 디지털 격차에 대한 정책이 단순한 ‘연령(age)’을 넘어 ‘세대’(generation)별로 다른, 이른바 세대별로 특성화된 정책을 필요로 한다는 시사점을 보여준다.
Abstract
This study aims to find out what factors explain the difference in the amount of change in digital service use before and after COVID-19, focusing on 'generation'. The 2020 data of the ‘Digital Information Divide Survey 2020’ conducted by the NIA(National Information Society Agency) was used. As a result of the analysis, it was found that most variables except age, region, and ‘PC usage’ had a significantly positive (+) effect on the amount of change. In the case of the generation variable, it had a negative (-) effect. Among the generational cohort, Generation Y (born between 1982 and 1995), who used smartphone on a daily basis, showed a greater increase than Generation Z. Relatively, the ‘SG generation, born before 1945, showed the lowest amount of increase. In addition, generation has become an interactive variable that negatively (-) modulates changes in between outcome and change of digital service usage. In other words, although outcome of digital services has the greatest impact on changes in the use of digital services after COVID-19, the degree becomes gradually smaller from generation Z to silent generation(SG). These findings suggest that post-COVID policies on the digital divide go beyond simple ‘age’ and require ‘generation-specific’ policies.
참고문헌 (38)
- 2020디지털 정보격차 실태조사, "과학기술정보통신부", ~, pp.NIA VIIIRSE-C-19055 (2020)
- 고정현, "사회적 지지가 고령층의 디지털정보활용에 미치는 영향: 디지털 이용동기의 매개효과를 중심으로", 국가정책연구, 34(2), pp.121~149 (2020), 국가정책연구소[DOI]
- 김반야, "디지털기기 이용동기와 이용성과의 관계에서 사회인구학적 요인의 조절효과", 문화기술의 융합, 8(3), pp.129~136 (2022), 국제문화기술진흥원
- 김봉섭, "고령층 디지털 사회 자본에 대한 디지털 조력자 영향 연구: 디지털 정보 활용의 매개효과를 중심으로", 사회과학담론과 정책, 13(2), pp.27~57 (2020), 사회과학연구원[DOI]
- 진추영, "사회적거리두기 상황에서 SNS 사용이 긍정심리요인에 미치는 영향", 정보화연구, 19(3), pp.197~208 (2022), 한국엔터프라이즈아키텍처학회[DOI]
- 서울연구원의 ‘2, "4분기 서울시 소비자 체감경기와 비대면 경제’", 최봉, 2020
- 최순화, "코로나19 이후 고령층 디지털 정보 활용 변화의 결정요인", 인문사회 21, 13(2), pp.981~992 (2022), 인문사회 21
- Najeh Aissaoui, "The digital divide: a literature review and some directions for future research in light of COVID-19", Global Knowledge, Memory and Communication, 71(8, pp.9) (2021), 686~708[DOI]
- "COVID-19 and the digital divide" (2020)[URL]
- Beaunoyer, E., "COVID-19 and digital inequalities : Reciprocal impacts and mitigation strategies", Computers in Human Behavior, 111, pp.1~9 (2020)[DOI]
- George Okello Candiya Bongomin, "Psychoanalysis of the mobile money ecosystem in the digital age: generational cohort and technology generation theoretical approach", Development in Practice, 32(8), pp.1020~1035 (2021), Informa UK Limited[DOI]
- Chemnad,K., "Smartphone usage before and after Covid-19: a comparative study based on objective recording of usage data", Research Squar(version) DOI: 10.21203, v2, pp.2022, ~
- Meredith E. David, "Smartphone Use during the COVID-19 Pandemic: Social Versus Physical Distancing", International Journal of Environmental Research and Public Health, 18(3), pp.1034~ (2021), MDPI AG[DOI]
- Bidit L. Dey, "Adoption, Adaptation, Use and Impact of Information Systems during Pandemic Time and Beyond: Research and Managerial Implications", Information Systems Management, 37(4), pp.298~302 (2020), Informa UK Limited[DOI]
- "Defining generations: Where Millennials end and Generation Z begins" (2019)[URL]
- Ludvík Eger, "The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective", Journal of Retailing and Consumer Services, 61, pp.102542~ (2021), Elsevier BV[DOI]
- Fang, M., "Exploring Privilege in the Digital Divide : Implications for Theory, Policy, and Practice", Gerontologist, 59(1), pp.e1~e15 (2019)[DOI]
- Gaidhani, S., "Understanding The Attitude Of Generation Z Towards Workplace", International Journal of Management, Technology And Engineering (2019)
- Livia Jonnatan, "Mobile Device Usage before and during the COVID-19 Pandemic among Rural and Urban Adults", International Journal of Environmental Research and Public Health, 19(14), pp.8231~ (2022), MDPI AG[DOI]
- Julia Koch, "Online Shopping Motives during the COVID-19 Pandemic—Lessons from the Crisis", Sustainability, 12(24), pp.10247~ (2020), MDPI AG[DOI]
- Laor, Tal., "Who’S clicking on on-demand? media consumption patterns of generations Y & Z", Technology in Society, 70, pp.102016~ (2022)
- Lissita S., "Generation X vs. Generation Y – A decade of online shopping", Journal of Retailing and Consumer Services, 31, pp.304~312 (2016)
- Lissitsa, S., "Four generational cohorts and hedonic m-shopping : association between personality traits and purchase intention", Electron Commer Res, 21, pp.545~570 (2021)[DOI]
- Lissitsa S, "Baby Boomers, Generation X and Generation Y: Identifying generational differences in effects of personality traits in on-demand radio use", Technology in Society, 64, pp.101526~ (2021)
- Jakob Ohme, "Staying Informed and Bridging “Social Distance”: Smartphone News Use and Mobile Messaging Behaviors of Flemish Adults during the First Weeks of the COVID-19 Pandemic", Socius: Sociological Research for a Dynamic World, 6 (2020), SAGE Publications[DOI]
- Padayachee, K., "The myths and realities of Generational Cohort Theory on ICT Integration in Education : A South African Perspective", The African Journal of Information Systems Volume, 10(1), pp.54~84 (2017)
- Prensky, M., "Digital Natives", Digital Immigrants, 9(5) (2001), On the Horizon (NCB University Press)[DOI]
- Osnat Roth-Cohen, "Are you talking to me? Generation X, Y, Z responses to mobile advertising", Convergence: The International Journal of Research into New Media Technologies, 28(3), pp.761~780 (2021), SAGE Publications[DOI]
- Ryder, B., "The cohort as a concept in the study of social change", American Sociological Review, 30, pp.843~861 (1965)
- Heba Saadeh, "Smartphone Use Among University Students During COVID-19 Quarantine: An Ethical Trigger", Frontiers in Public Health, 9, pp.600134~ (2021), Frontiers Media SA[DOI]
- Serra, G., "Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184Italian children and adolescents", Italian Journal of Pediatrics, 47(150) (2019)
- Sheth,J., "Impact of Covid-19 on consumer behavior: Will the old habits return or die?", Journal of Business Research journal (2020)[DOI]
- Stevic, A., "You are not alone : Smartphone use, friendship satisfaction, anxiety during the COVID-19 crisis", Mobile Media & Communication, 10(2), pp.294~315 (2022)
- van Deursen A., "Communication and Information Technologies Annual", pp.29~52 (2015), Emerald Group Publishing Limited
- "Closing the digital divide; The Role of Digital Technologies on Social Development, Well-Being of All and the Approach of the Covid-19 Pandemic" (2020)[URL]
- "The Digital Divide and the Covid-19 Pandemic" (2020)[URL]
- Wiścicka-Fernando, M., "The use of mobile technologies in online shopping during the COVID-19 pandemic-an empirical study", Procedia Computer Science, 192, pp.3413~3422 (2021)
- Yuqiong Zhou, "The Digital Divide Is Aging: An Intergenerational Investigation of Social Media Engagement in China", International Journal of Environmental Research and Public Health, 19(19), pp.12965~ (2022), MDPI AG[DOI]
