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How should we understand the digital economy in Asia? Critical assessment and research agenda.
Li, Kai; Kim, Dan J; Lang, Karl R; Kauffman, Robert J; Naldi, Maurizio.
  • Li K; Department of Management Science and Engineering, Business School, Nankai University, Tianjin, China.
  • Kim DJ; Department of IT and Decision Sciences, G. Brint Ryan College of Business, Univ. of North Texas, Denton, TX, USA.
  • Lang KR; Department of IS and Statistics, Zicklin School of Business, Baruch College, CUNY, NY, USA.
  • Kauffman RJ; Department of Digitalization, Copenhagen School of Business, Copenhagen, Denmark.
  • Naldi M; School of Information Systems, Singapore Management University, Singapore.
Electron Commer Res Appl ; 44: 101004, 2020.
Article in English | MEDLINE | ID: covidwho-753623
ABSTRACT
By Asian digital economy, we refer to high-tech developments, business and social transformations, and information-driven changes in the region's growth. We discuss its background and foundations, significance in Asia and contribution to removal of historical barriers in traditional business. We assess how new value chains are transforming country-level involvement in worldwide manufacturing and note "smiling curve theory" predictions about the global value chain in Asia for high-tech firms and their economies. The takeaway is that the digital economy in Asian nations involves revamping business processes through technology innovation, government policies for growth, and digital entrepreneurship. We analyze the "digital economy and society index", and attributes of nations, societies and economies, as a basis for framing our ideas. We consider research directions prompted by data analytics and AI, the platform economy, digital trade, fintech innovation, and societal and economic sustainability. We further highlight new issues in light of the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Electron Commer Res Appl Year: 2020 Document Type: Article Affiliation country: J.elerap.2020.101004

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Electron Commer Res Appl Year: 2020 Document Type: Article Affiliation country: J.elerap.2020.101004