Technical trends of artificial intelligence in standard-essential patents

Chang, Shu-Hao

doi:10.1108/dta-10-2019-0178

Cited by 4 publications

(3 citation statements)

References 61 publications

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“…Since metahuman is a virtual image constructed by artificial intelligence technology [67], the development of metahuman is closely related to the innovation of artificial intelligence. The existing literature indicates that the US has a dominant position in the development of artificial intelligence industries and plays a crucial role in the global development of AI technical networks [68,69]. The research results show that artificial intelligence industries are also constantly and rapidly developing in China [70].…”

Section: Discussionmentioning

confidence: 90%

Technical Trends and Competitive Situation in Respect of Metahuman—From Product Modules and Technical Topics to Patent Data

et al. 2022

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As a form of technological integration, metahuman has a significant influence on sustainable production because of its consistent technological evolution. However, few studies have provided insights into the technical assessment of metahuman by employing patents. In this paper, patent analysis is conducted to identify technological trends and the competitive situation in respect of metahuman from a product modularity perspective. First, we identify 17 highly relevant metahuman keywords by combining a literature analysis and an expert interview method and identify 42,256 patents from the Derwent Innovation Index (DII), thus improving the accuracy and validity of the data collection process. Then, metahuman product modularity is implemented using the function-behavior-structure (FBS) model, and seven technical topics are extracted from patents via latent Dirichlet allocation (LDA). Lastly, the procedure for identifying technology areas in respect of metahuman is improved by applying an optimized method to establish the connecting paths of product modules, technical topics, and patent data. The analysis results show that the development of metahuman technology can be divided into three periods. Different patent priority countries have distinctive competitive advantages and characteristics at the product module level. The findings of this study are intended to aid R&D enterprises and the government in formulating sustainable decision-making and promoting the development of the metahuman industry.

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Section: Discussionmentioning

confidence: 90%

Technical Trends and Competitive Situation in Respect of Metahuman—From Product Modules and Technical Topics to Patent Data

et al. 2022

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“…The rearrangement, interaction and learning between all these components is part of the transformation of Industry 4.0 [37]. Industry 4.0 seeks to modify current companies' working models so they can adapt and grow in this new collaborative environment between machines and humans [38]. Moreover, artificial Intelligence brings together a large number of technologies that provide machines with the ability to understand, analyze, and learn, turning them into tools capable of automating and improving processes autonomously [39].…”

Section: A New Work Environment In the Digital Agementioning

confidence: 99%

A Multidimensional Model of the New Work Environment in the Digital Age to Increase a Company’s Performance and Competitiveness

2023

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The purpose of the paper is to develop a multidimensional model of the new work environment in the digital age to increase a company's performance and competitiveness in VUCA (volatility, uncertainty, complexity, and ambiguity) business environment. The multidimensional model covers the implementation of an agile work environment through the prism of using artificial intelligence technology to increase company's performance and competitiveness. Researched determined multidimensional aspects for successful implementation of work environment in the digital age are, therefore (1) drivers for shifting towards agility, (2) implementation of agile leadership, (3) implementation of an agile work environment, (4) implementation of AI technology in work environment, (5) company's performance, (6) competitiveness. The main survey involved randomly selected 473 medium-sized and large companies in Slovenia. Structural equation modelling was used for statistical data analysis. The results show that drivers for shifting towards agility have a positive effect on implementation of agile leadership. Also, results show that implementation of agile leadership and implementation of AI technology in work environment have a positive effect on implementation of an agile work environment. Moreover, results show that implementation of an agile work environment has positive effect on company's performance and competitiveness. The paper highlights the important multidimensional aspects of the successful implementation of an agile work environment to increase the company's performance and competitiveness. Also, our results will contribute to the proper implementation of the work environment in the digital age and give owners or top managers a broad insight into the various aspects that must be considered in their business governance in today's rapidly changing business environment.

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“…The data on market size were from Bureau van Dijk's Orbis database. This study adopts Chang's (2021) AI patent classification and screening method to select companies applying for AI patents. He integrated the USPTO classification method of Tseng and Ting (2013) and the JPO classification method of Hidemichi and Shunsuke (2017).…”

Section: Variable 5: Organizational Participationmentioning

confidence: 99%

Exploring the Formation Mechanism of Technology Standard Competitiveness in Artificial Intelligence Industry: A Fuzzy-Set Qualitative Comparative Analysis

Liu,

Zhou,

Yang

2023

Journal of Business Economics and Management

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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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Technical trends of artificial intelligence in standard-essential patents

Cited by 4 publications

References 61 publications

Technical Trends and Competitive Situation in Respect of Metahuman—From Product Modules and Technical Topics to Patent Data

Technical Trends and Competitive Situation in Respect of Metahuman—From Product Modules and Technical Topics to Patent Data

A Multidimensional Model of the New Work Environment in the Digital Age to Increase a Company’s Performance and Competitiveness

Exploring the Formation Mechanism of Technology Standard Competitiveness in Artificial Intelligence Industry: A Fuzzy-Set Qualitative Comparative Analysis

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