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Configurational Analysis of the Driving Paths of Chinese Digital Economy Based on the Technology-Organization-Environment Framework

Bibliographic Data

ID3594301
AuthorsShuangying Chen (0000-0002-2124-5563, University of Electronic Science and Technology of China), Qiyue Li (0000-0002-2342-4477, University of Electronic Science and Technology of China, corresponding author), Bo Lei (0000-0001-8949-0349), Lei Bo (0000-0001-9975-1477, University of Electronic Science and Technology of China), Na Wang (0000-0003-1102-8220, University of Electronic Science and Technology of China)
Year2021
Volume11
Issue4
Publication date2021-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/21582440211054500
OpenAlexW3210189373
LanguageEN
Citations received3
References cited28

The purpose of this study was to examine the combinations of factors driving the digital economy and their configurational pathways, based on the Technology-Organization-Environment (TOE) framework. Using data on 31 Chinese provinces, the study integrated the TOE framework with Fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the digital economy. The results indicate that (a) firms' digital competence is a necessary condition for the development of the digital economy; (b) four pathways drive high levels of digital economic development and three pathways lead to low levels of digital economic development; and (c) these pathways indicate asymmetry between high and low levels of digital economic development. The findings enhance understanding of the complex interactions of multiple factors driving the digital economy. They also yield policy recommendations for the development of the digital economy

Business · Digital economy · Economic system · Economics · Economy · Industrial organization · Management · Qualitative comparative analysis · Computer Science · Economic and Technological Innovation · Qualitative Comparative Analysis Research

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Unique citing works3
Citations per year1,5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 3

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