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The Development of an Industry Environment for the Internet of Things: Evidence From China
Xian Jiaotong Liverpool Univ, Peoples R China.
Xian Jiaotong Liverpool Univ, Peoples R China.
Univ York, England.
Linköping University, Department of Management and Engineering, Production Economics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3058-7431
2024 (English)In: IEEE transactions on engineering management, ISSN 0018-9391, E-ISSN 1558-0040, Vol. 71, p. 13166-13178Article in journal (Refereed) Published
Abstract [en]

The rapid development of the supply chain of the Internet of Things (IoT) industry may trigger financial risk contagion among IoT manufacturers. This article collects data on listed IoT companies in the Chinese market from 2010 to 2019 and explores the development of the environment for the IoT industry. Two dynamic time wrapping (DTW) networks are created to analyze the topological structures of the IoT industry environment. Both the standard DTW and strongly connected DTW networks are revolutionary in terms of their interconnectedness in the IoT industry. We found that the level of clustering and transitivity of the network continued to decline between 2010 and 2019; i.e., the efficiency of financial risk contagion on IoT networks was significantly reduced. This article contributes to the literature in two aspects. First, it reveals that Chinas IoT industry is increasingly competitive; financial risks have become more difficult to transfer. The IoT industry has become more robust and exhibits a lower likelihood of financial risk contagion. Second, the article provides empirical evidence for the theory of coevolution, showing that risk contagion ability in an industry setting is decreasing with the development of individual firms.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2024. Vol. 71, p. 13166-13178
Keywords [en]
Internet of Things; Industries; Complex networks; Companies; Supply chains; Sensors; Complex systems; Coevolution theory; complex network; Internet-of-things; supply chain management
National Category
Business Administration
Identifiers
URN: urn:nbn:se:liu:diva-185278DOI: 10.1109/TEM.2022.3163298ISI: 000791715700001OAI: oai:DiVA.org:liu-185278DiVA, id: diva2:1661034
Note

Funding Agencies|National Natural Science Foundation of ChinaYoung Scientist Fund [71902159]; Key Program Special Fund in XJTLU [KSF-A-13]

Available from: 2022-05-25 Created: 2022-05-25 Last updated: 2024-12-02Bibliographically approved

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CiteExportLink to record
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