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Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China.
Pan, Shan L; Cui, Miao; Qian, Jinfang.
  • Pan SL; School of Information Systems and Technology Management, UNSW Business School, University of New South Wales (UNSW), Room 2015, West Wing, Quadrangle, Sydney, 2052, Australia.
  • Cui M; School of Economics and Management, Dalian University of Technology, Room D622, School of Economics and Management, 2#Linggong Road, Dalian 116024, China.
  • Qian J; School of Economics and Management, Dalian University of Technology, Room E411, School of Economics and Management, 2#Linggong Road, Dalian 116024, China.
Int J Inf Manage ; 54: 102143, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-1152381
ABSTRACT
The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Prognostic study Language: English Journal: Int J Inf Manage Year: 2020 Document Type: Article Affiliation country: J.ijinfomgt.2020.102143

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Prognostic study Language: English Journal: Int J Inf Manage Year: 2020 Document Type: Article Affiliation country: J.ijinfomgt.2020.102143