Decoding China’s COVID 19 'Virus Exceptionalism': Community-based Digital Contact Tracing in Wuhan
Philipp Boeing and
Yihan Wang ()
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Yihan Wang: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
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Abstract:
This article explores how key stakeholders of an open innovation ecosystem interact in the digital context to overcome a public health emergency. Amid the Covid-19 pandemic, comprehensive, accurate and timely community-based digital contact tracing serves as a decisive measure in curbing viral transmission. This strategy integrates agile government decision-making, corporate innovation, community coordination, and citizen participation. In the process of big data analytics, communities play the crucial role of the middleground that moderates the interactions between organizational upperground (government and enterprises) and individual underground (citizens) on the digital platform. To demonstrate the application, we study the three stages of "closed-end community management" in Wuhan, which represents China's "virus exceptionalism" amid the pandemic. Finally, we raise several ethical concerns related to this model for future R&D management research on digitization.
Keywords: Community; Covid-19; Digital contact tracing; Innovation ecosystem; Big data analytics (search for similar items in EconPapers)
Date: 2021-03-23
New Economics Papers: this item is included in nep-cna and nep-hea
Note: View the original document on HAL open archive server: https://hal.science/hal-03071684v1
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Published in R&D Management, 2021, Special Issue: Providing solutions in emergencies: R&D and innovation management during Covid‐19 Part‐2, 51 (4), pp.339-351. ⟨10.1111/radm.12464⟩
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Working Paper: Decoding China's Covid-19 "virus exceptionalism": Community-based digital contact tracing in Wuhan (2021) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03071684
DOI: 10.1111/radm.12464
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