What elements influence the application of artificial intelligence? Looks good

Over the next decade, artificial intelligence (AI) will advance in many fields, revolutionizing people’s lives, work, and society by developing new technologies. As a result, interest in artificial intelligence has increased and research has accelerated in recent years. However, existing research appears fragmented and lacks a systematic approach, making it difficult for us to understand how employees perceive artificial intelligence technology. We used five databases to perform a systematic review and meta-analysis of the chosen studies in order to close the gaps in the literature: Embase, Scopus, EBSCO Host, and Inspec (Engineering Village Host), and Web of Science. This work focuses on collection technology and artificial intelligence. Adoption implies a readiness to take action or an intention to use, purchase, or try a product or service.During the database search, 7,912 articles were found. The systematic review contained sixty papers. Most studies (n = 31) did not report IA in their articles, and 38 studies did not report IA in their participants. The Adoption Model (ATM) is a tool used to evaluate the adoption of artificial intelligence technologies. Usefulness, work-related attitudes, attitudes, beliefs, and perceived effectiveness are predicted by individual behavioral intentions, motivations, and use of artificial intelligence in different contexts. However, in some cultures, the need for human social interaction, despite its effectiveness and ease of use, seems impossible to replicate or replace with artificial intelligence. Since many of the methodological approaches in this study are based on self-reported data, further research using qualitative methods is needed to validate the theoretical models explaining the use of AI technologies.
In the next decade, artificial intelligence (AI) will become a key technology due to its ability to improve human capabilities at a low cost (Liu, 2017; Mott et al., 2004; Schwab, 2017). Artificial intelligence is expected to create many jobs and increase global economic revenue by $15.7 trillion by 2030 (Murphy et al., 2021). Tools can improve people’s daily lives through technological advances in health care (e.g., early diagnosis; Baker, 2018 ), client services (e.g., social workers; Murphy et al., 2021 ), and education (e.g., educational materials; Kavshiv et al., 2011 cited in 2011), and in transportation. (e.g., self-driving car, self-driving car): Car; Kay et al., 2020), to name a few. Technology adoption requires research to understand the factors influencing the diffusion of artificial intelligence.
The rise of artificial intelligence (AI) has led to a boom in research aimed at the early stages of AI adoption and the development or improvement of implementation strategies. However, it is not possible to draw conclusions from the existing literature about how people use artificial intelligence. User intent can be defined as the intention to use, purchase, or try a product or service. Since AI has the potential to advance society through advances in fields such as transportation (Xia et al., 2020), mental health (Doraiswamy et al., 2019), and education (Ramu et al., 2022), it is important to understand the drivers of technology adoption and the impact of their use (Schmid et al., Soh, 2011; Soh, Soh, 2022). 2011; Soh, 2012; (United Kingdom, 2020). 2020a, Tadeo and Floridi, 2018, Turner et al., 2010). To date, no article has been published detailing the key factors and drivers of the diffusion of artificial intelligence. Understanding the current literature helps us explore similarities, differences, and differences in adoption research across all populations, countries, and regions included in the current research.
Defining artificial intelligence is a challenge for academia, government, and society. The definition of artificial intelligence is controversial, and there is no consensus among the various bodies working in the field. For example, many “smart” devices (like smart refrigerators, smartphones, and smart speakers) are referred to as artificial intelligence (AI), just as driverless cars are referred to as AI.