A Comprehensive Model of Digital Innovations in Covid19 Crisis with a Meta-Synthesis Approach

Document Type : Original research

Authors

1 Department of Industrial Management, Faculty of Management and Economics, Islamic Azad University Science and Research Branch, Tehran, Iran

2 Assistant Professor, in industrial management Department,, Faculty administrative sciences and Economics, Arak university, Arak, Iran

Abstract

Sustainable innovation is necessary for organizational survival as well as success in the turbulent environment of digital era, particularly in the currentCOVID-19 epidemic crisis. Many of today’s innovations employ a combination of digital technologies while relying on telecommunications infrastructure besides Internet access. The COVID-19 crisis one-year experience has revealed that to what extent the innovations formed in the digital context have succeeded to enhance society’s resilience to this crisis. In this regard, the present study was aimed at providing a comprehensive model of innovations in the digital context and their role and effect on the COVID-19 crisis. Qualitative meta-synthesis was the main method of this research, in which the kappa coefficient was calculated to assess the model and Shannon entropy was calculated to specify the significance coefficient of the indices. To this end, the previous studies on digital innovations over the COVID-19 crisis were first extracted through searching for relevant keywords and 634 papers were found that 78 of which were finalized at four consecutive screening stages. Subsequently, the identified indices in different papers were coded and the main themes were identified through categorizing the codes. The results revealed that technologies based on artificial intelligence, Internet of Things, cloud technologies, and blockchain are the fundamental areas of digital innovation during the COVID-19 pandemic. Moreover, health, education, and business were identified as the key areas for applying digital innovations during the pandemic.

Keywords

References

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History

  • Receive Date: 17 March 2021
  • Revise Date: 24 April 2021
  • Accept Date: 27 April 2021

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