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      Improving Disaster Management Capability and Disaster Resilience by Using Big Data - A Comparative Analysis between Korea and China -

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      https://www.riss.kr/link?id=A108226766

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      The purpose of this study is to verify the impact of using big data on the government’s disaster management capability and resilience and to grasp the relationship between them. Based on the questionnaires collected and analyzed in Korea and China, the results of the study showed that (1) Chinese citizens’ satisfaction with the government’s disaster management capability and disaster resilience were higher than Korean citizens’ satisfaction respectively; (2) using big data had a positive impact on the government’s disaster management capability, for China, specifically the prediction of COVID-19, the promotion of internal and external cooperation of the government. But for Korea, using big data had no significant impact on the promotion of internal and external government cooperation and on the government’s capability to respond to internet public opinion; (3) using of big data had a positive impact on disaster resilience, for China, especially in terms of public psychological recovery, post-epidemic government resumption of work and production policy. For Korea, while using big data had no significant impact on public psychological recovery.
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      The purpose of this study is to verify the impact of using big data on the government’s disaster management capability and resilience and to grasp the relationship between them. Based on the questionnaires collected and analyzed in Korea and China, ...

      The purpose of this study is to verify the impact of using big data on the government’s disaster management capability and resilience and to grasp the relationship between them. Based on the questionnaires collected and analyzed in Korea and China, the results of the study showed that (1) Chinese citizens’ satisfaction with the government’s disaster management capability and disaster resilience were higher than Korean citizens’ satisfaction respectively; (2) using big data had a positive impact on the government’s disaster management capability, for China, specifically the prediction of COVID-19, the promotion of internal and external cooperation of the government. But for Korea, using big data had no significant impact on the promotion of internal and external government cooperation and on the government’s capability to respond to internet public opinion; (3) using of big data had a positive impact on disaster resilience, for China, especially in terms of public psychological recovery, post-epidemic government resumption of work and production policy. For Korea, while using big data had no significant impact on public psychological recovery.

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      참고문헌 (Reference)

      1 Olsson, L., "Why Resilience is Unappealing to Social Science : Theoretical and Empirical Investigations of the Scientific Use of Resilience" 1 (1): 1-11, 2015

      2 Papadopoulos, T., "The Role of Big Data in Explaining Disaster Resilience in Supply Chains for Sustainability" 142 : 1108-1118, 2017

      3 Choi, S., "The Real-time Monitoring System of Social Big Data for Disaster Management" 330 : 809-815, 2015

      4 Yıldırım, M., "The Impacts of Vulnerability, Perceived Risk, and Fear on Preventive Behaviors against COVID-19" 26 (26): 35-43, 2020

      5 Adger, W. N., "Social-ecological Resilience to Coastal Disasters" 309 : 1036-1039, 2005

      6 Aldrich, Daniel P., "Social Capital and Community Resilience" 59 (59): 254-269, 2015

      7 Barrios, R. E., "Resilience: A Commentary from the Vantage Point of Anthropology" 40 (40): 28-38, 2016

      8 Folke, C., "Resilience Thinking : Integrating Resilience, Adaptability and Transformability" 15 (15): 1-9, 2010

      9 Walker, B., "Resilience Practice: Building Capacity to Absorb Disturbance and Maintain Function" Island Press 2012

      10 Luo, Hang, "Improving Data Governance Capabilities in Major Public Health Emergencies: Taking the Prevention and Control of COVID-19 As an Example" 39 (39): 45-54, 2020

      1 Olsson, L., "Why Resilience is Unappealing to Social Science : Theoretical and Empirical Investigations of the Scientific Use of Resilience" 1 (1): 1-11, 2015

      2 Papadopoulos, T., "The Role of Big Data in Explaining Disaster Resilience in Supply Chains for Sustainability" 142 : 1108-1118, 2017

      3 Choi, S., "The Real-time Monitoring System of Social Big Data for Disaster Management" 330 : 809-815, 2015

      4 Yıldırım, M., "The Impacts of Vulnerability, Perceived Risk, and Fear on Preventive Behaviors against COVID-19" 26 (26): 35-43, 2020

      5 Adger, W. N., "Social-ecological Resilience to Coastal Disasters" 309 : 1036-1039, 2005

      6 Aldrich, Daniel P., "Social Capital and Community Resilience" 59 (59): 254-269, 2015

      7 Barrios, R. E., "Resilience: A Commentary from the Vantage Point of Anthropology" 40 (40): 28-38, 2016

      8 Folke, C., "Resilience Thinking : Integrating Resilience, Adaptability and Transformability" 15 (15): 1-9, 2010

      9 Walker, B., "Resilience Practice: Building Capacity to Absorb Disturbance and Maintain Function" Island Press 2012

      10 Luo, Hang, "Improving Data Governance Capabilities in Major Public Health Emergencies: Taking the Prevention and Control of COVID-19 As an Example" 39 (39): 45-54, 2020

      11 Linpei Zhai ; 이재은, "Improving Crisis & Emergency Management Capability of Government by Using Big Data Technology - China’s Response to the COVID-19 -" (사)위기관리이론과실천 17 (17): 19-38, 2021

      12 Bragazzi, N. L., "How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic" 17 (17): 3176-, 2020

      13 Hu, D., "Frontline Nurses’ Burnout, Anxiety, Depression, and Fear Statuses and Their Associated Factors during the COVID-19 Outbreak in Wuhan, China : A Large-scale Cross-sectional Study" 24 : 100424-, 2020

      14 Janis, I. L., "Emergency Decision Making : A Theoretical Analysis of Responses to Disaster Warnings" 3 (3): 35-48, 1977

      15 Mano, R. M., "Earthquake Preparedness : A Social Media Fit Perspective to Accessing and Disseminating Earthquake Information" 1 : 19-31, 2019

      16 Sun, Jiarui, "Domestic Data Governance Research Progress : System, Guarantee and Practice" 16 : 2-8, 2018

      17 Ke Zhang ; 이재은, "Disaster Vulnerability and Resilience of Foreigners in South Korea" (사)위기관리이론과실천 12 (12): 39-49, 2022

      18 Sarker, M. N. I., "Disaster Resilience through Big Data : Way to Environmental Sustainability" 51 : 101769-, 2020

      19 Norris, A. C., "Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters" 24-27, 2015

      20 Lee, Jae Eun, "Crisisonomy" Daeyoung Press Company 2018

      21 Heeks, R., "Conceptualising the Link between Information Systems and Resilience : A Developing Country Field Study" 29 (29): 70-96, 2019

      22 Sarker, M. N. I., "Climate Change Adaptation and Resilience through Big Data" 11 (11): 533-539, 2020

      23 Won Hee Chung ; 양기근, "Alleviating Disaster Vulnerability and Improving Resilience of the Elderly" (사)위기관리이론과실천 12 (12): 35-43, 2022

      24 권설아 ; 류상일, "A Study on the Influence of Social Capital on Community Disaster Resilience" (사)위기관리이론과실천 10 (10): 33-42, 2020

      25 Arslan, M., "A Review on Applications of Big Data for Disaster Management" 370-375, 2017

      26 Chen, C., "A New Model for Describing the Urban Resilience Considering Adaptability, Resistance and Recovery" 128 : 104756-, 2020

      27 Huang, H., "A Big Data Analysis on the Five Dimensions of Emergency Management Information in the Early Stage of COVID-19 in China" 5 (5): 213-233, 2020

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2022-09-21 학회명변경 한글명 : 위기관리 이론과 실천 -> (사)위기관리이론과실천 KCI등재
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2016-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2015-12-30 학술지명변경 한글명 : 한국위기관리논집 -> Crisisonomy
      외국어명 : Korean Review of Crisis and Emergency Management -> Crisisonomy
      KCI등재
      2012-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.84 0.84 0.85
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.85 0.86 1.09 0.29
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