EXPLORING THE FORMATION MECHANISM OF TECHNOLOGY STANDARD COMPETITIVENESS IN ARTIFICIAL INTELLIGENCE INDUSTRY: A FUZZY-SET QUALITATIVE COMPARATIVE ANALYSIS
IF 2.6 3区 经济学Q1 Business, Management and Accounting
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引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Business Economics and Management is a peer-reviewed journal which publishes original research papers. The objective of the journal is to provide insights into business and strategic management issues through the publication of high quality research from around the world. We particularly focus on research undertaken in Western Europe but welcome perspectives from other regions of the world that enhance our knowledge in this area. The journal publishes in the following areas of research: Global Business Transition Issues Economic Growth and Development Economics of Organizations and Industries Finance and Investment Strategic Management Marketing Innovations Public Administration.