Na, Tang and Honghao, Zheng (2024) Leveraging Large-scale AI Models for Transforming China's Marine Industry: A TOE Framework Analysis. Asian Journal of Economics, Business and Accounting, 24 (9). pp. 220-229. ISSN 2456-639X
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Abstract
As an important driving force leading a new round of scientific and technological revolution and industrial change, artificial intelligence is becoming a hot spot. Promoting the deep integration of "artificial intelligence + ocean" will help build a world-class Marine artificial intelligence industry cluster with global competitiveness. How to effectively apply artificial intelligence to the Marine industry to solve the problems of resource redundancy and information island caused by industrial agglomeration is urgent for innovation and breakthrough. In this paper, TOE and modified T-TOE framework are used to analyze the above problems, and the following conclusions are drawn: 1) From the perspective of technical factors, intelligent information technology plays an important role in promoting the construction of large-scale models at the level of hardware and software; From the perspective of organizational factors, enterprise digital transformation and open sharing platform play an important role in supporting organization construction. From the perspective of environmental factors, policy support and market orientation play an important role in encouraging the construction of large models. 2) From the perspective of T-T, the breakthrough and application of technology need to balance the contradiction between development and conflict; From the perspective of T-O, intelligent supply-demand matching and transition resistance have both positive and negative effects; From the perspective of T-E, there is a problem of actively promoting multidimensional interactive innovation and achieving a balance. Relevant studies provide new ideas for the comprehensive development scenario of Marine industry and inject new impetus into the development of Marine industry.
Item Type: | Article |
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Subjects: | Archive Science > Social Sciences and Humanities |
Depositing User: | Managing Editor |
Date Deposited: | 12 Sep 2024 07:23 |
Last Modified: | 12 Sep 2024 07:23 |
URI: | http://editor.pacificarchive.com/id/eprint/1547 |