Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis
This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the mul...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2023-11-01
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| Series: | Journal of Business Economics and Management |
| Subjects: | |
| Online Access: | https://jau.vgtu.lt/index.php/JBEM/article/view/18845 |
| _version_ | 1797633607830863872 |
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| author | Siwei Liu Lijun Zhou Jing Yang |
| author_facet | Siwei Liu Lijun Zhou Jing Yang |
| author_sort | Siwei Liu |
| collection | DOAJ |
| description |
This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the multiple equivalent paths for different factors that jointly produce TSC. The sample of this study involves 32 countries, and the research framework is constructed from the technological, organizational, and environmental aspects of the phenomenon. The fsQCA method was used to demonstrate the asymmetric relationship between cause and effect. The results indicate four configuration paths but no necessary conditions leading to TSC. Academic research intensity and market size play vital roles in developing TSC. Some logically complementary relationships exist between organizational participation, technological innovation ability, and international competitive pressure. These findings are helpful for policymakers in their formulation of artificial intelligence– related strategies.
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| first_indexed | 2024-03-11T11:56:17Z |
| format | Article |
| id | doaj.art-e443278eb1034d209786e9d35e46b431 |
| institution | Directory Open Access Journal |
| issn | 1611-1699 2029-4433 |
| language | English |
| last_indexed | 2024-03-11T11:56:17Z |
| publishDate | 2023-11-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Journal of Business Economics and Management |
| spelling | doaj.art-e443278eb1034d209786e9d35e46b4312023-11-08T16:21:58ZengVilnius Gediminas Technical UniversityJournal of Business Economics and Management1611-16992029-44332023-11-0124410.3846/jbem.2023.18845Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysisSiwei Liu0Lijun Zhou1Jing Yang2College of Economics and Management, China Jiliang University, Hangzhou, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou, ChinaCollege of Economics and Management, China Jiliang University, Hangzhou, China This study aims to reveal the complex mechanism influencing technology standard competitiveness (TSC) in the artificial intelligence industry. Compared with research using traditional linear models, this research adopts the fuzzy-set qualitative comparative analysis (fsQCA) method to obtain the multiple equivalent paths for different factors that jointly produce TSC. The sample of this study involves 32 countries, and the research framework is constructed from the technological, organizational, and environmental aspects of the phenomenon. The fsQCA method was used to demonstrate the asymmetric relationship between cause and effect. The results indicate four configuration paths but no necessary conditions leading to TSC. Academic research intensity and market size play vital roles in developing TSC. Some logically complementary relationships exist between organizational participation, technological innovation ability, and international competitive pressure. These findings are helpful for policymakers in their formulation of artificial intelligence– related strategies. https://jau.vgtu.lt/index.php/JBEM/article/view/18845technology standardizationartificial intelligence industryfsQCAtechnology–organization–environment (TOE) frameworktechnology standard competitivenessconfigurations |
| spellingShingle | Siwei Liu Lijun Zhou Jing Yang Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis Journal of Business Economics and Management technology standardization artificial intelligence industry fsQCA technology–organization–environment (TOE) framework technology standard competitiveness configurations |
| title | Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis |
| title_full | Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis |
| title_fullStr | Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis |
| title_full_unstemmed | Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis |
| title_short | Exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry: a fuzzy-set qualitative comparative analysis |
| title_sort | exploring the formation mechanism of technology standard competitiveness in artificial intelligence industry a fuzzy set qualitative comparative analysis |
| topic | technology standardization artificial intelligence industry fsQCA technology–organization–environment (TOE) framework technology standard competitiveness configurations |
| url | https://jau.vgtu.lt/index.php/JBEM/article/view/18845 |
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