Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries

Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries

Wang Xian, Chen Guomin, Varsha Arya, Kwok Tai Chui
Copyright: © 2024 |Pages: 14
DOI: 10.4018/IJSWIS.344037
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Abstract

This article presents a comprehensive analysis of the application and effect of ChatGPT, an advanced AI chatbot model, on global information management across various industries such as healthcare, industry, education, and more. Leveraging a dataset obtained from the Scopus database encompassing research papers from 2022 to 2023, this study investigates the influence of ChatGPT by examining publisher impact, authorship patterns based on Lotka's Law, country-specific scientific production, and keyword distribution. The analysis sheds light on prominent publishers, prolific authors, geographic distribution of research contributions, and prevailing research themes. By understanding the impact of ChatGPT in these sectors, this research contributes to the advancement of knowledge and facilitates informed decision-making regarding the responsible and effective utilization of artificial intelligence (AI) chatbot technologies in global information management.
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Introduction

The advancement of digital technologies has significantly impacted global information management across various sectors. Businesses and industries have experienced notable benefits from the increasing digital evolution, leading to enhanced operational efficiency, innovative management strategies, and improved market positioning (Sinaga et al., 2019). The evolution of digital technologies has also influenced societal culture, consumption patterns, and saving behaviors, with the introduction of smart devices, online platforms, and social media platforms reshaping societal norms (Grigorescu, 2023). The empowerment of digital technologies has played a crucial role in driving the evolution of enterprise green strategies through factors such as managerial perception, competitive capabilities, data utilization, and digital marketing (He et al., 2022; Hu et al., 2022).

Furthermore, the profound impact of digital technologies on businesses is evident, with rapid advancements affecting various operational aspects and strategic approaches (Veldhoven & Vanthienen, 2022). The integration of digital technologies, artificial intelligence (AI), and connectivity has brought about a significant transformation in society’s socioeconomic landscape (Hilbert, 2020; Almomani et al., 2022). The adoption of digital technologies in industries such as manufacturing has been instrumental in promoting resource-efficient practices and enhancing industrial capabilities (Shang & Zhang, 2022). The digital transformation of the National Basketball Association serves as a prime example of how incorporating digital technologies can lead to increased revenue, global branding, and strategic business evolution (Santomier et al., 2023; Li et al., 2022).

Moreover, the evolution of digital technologies has spurred disruptive innovation across sectors, showcasing the transformative power of digital tools and technologies (Zhang et al., 2022). The shift toward digital transformation has not only enhanced business management practices but also triggered social and cultural changes beyond technological advancements (Negro, 2022). Organizational responses to market dynamics have been influenced by the evolution of digital technologies, prompting changes in trade, industry practices, and information technology approaches (Farzi, 2022; Brdesee et al., 2022).

The concept of digital twins and bionics exemplifies the advanced stages of digital technology evolution, highlighting collaborative simulations and virtual commissioning as key technologies driving design and manufacturing integration (Li et al., 2021). Digital health technologies have emerged as a solution to address healthcare challenges, particularly in cardiovascular care and research (Zwack et al., 2023; Pan et al., 2022). The potential applications of digital twin technology across various industrial sectors underscore the transformative impact of digital innovations on infrastructure, aerospace, and automotive industries (Chakraborty & Adhikari, 2021). AI chatbots use semantic web technologies to enhance global information management by incorporating advanced capabilities in understanding and processing data. The integration of semantic web technologies, such as knowledge graphs, ontologies, and linked data, enables AI chatbots to access and interpret information in a structured and meaningful way (Sermet & Demir, 2021; Sharma et al., 2022). By using semantic web technologies, AI chatbots can enhance their ability to comprehend user queries, extract relevant information from diverse sources, and provide accurate responses based on contextual understanding.

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