The World with Future Technologies (Post-COVID-19): Open Issues, Challenges, and the Road Ahead

Madhav, A. V. Shreyas; Tyagi, Amit Kumar

doi:10.1007/978-981-16-6542-4_22

Cited by 58 publications

(6 citation statements)

References 41 publications

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“…Businesses will have access to an endless supply of actionable insights about their operations for as long as data-gathering technologies exist (Sunder et al , 2023). These conclusions can be deduced from the data if one looks closely enough (Madhav and Tyagi, 2022). The concept of intelligent robots working side by side with people in the workplace is what is meant to be referred to by the term “Industry 5.0.” It investigates how humans could benefit from the assistance of robots in completing complex tasks with greater ease and accuracy by utilizing the expertise and access to cutting-edge technology that currently exists among people.…”

Section: Research Questions and Discussionmentioning

confidence: 94%

Section: Leading Authorsmentioning

confidence: 99%

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Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

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Purpose Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability. Design/methodology/approach This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration. Findings In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation. Research limitations/implications The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient. Originality/value This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

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Section: Research Questions and Discussionmentioning

confidence: 94%

Section: Leading Authorsmentioning

confidence: 99%

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Malik

Sharma²,

Batra

et al. 2023

IJLSS

View full text Add to dashboard Cite

show abstract

“…Secondly, there is a growing demand for innovative and engaging teaching methods that can capture students' interest and encourage their creativity. Technology can offer new and exciting ways for students to express themselves creatively, and educators are increasingly exploring these possibilities [17]. Lastly, the COVID-19 pandemic has accelerated the integration of technology into education.…”

Section: Discussion 51 Rq1 What Are the Emerging Trends In Technology...mentioning

confidence: 99%

Uncovering Emerging Trends in Technology and Art Education: A Bibliometric Mapping Analysis

Punithavili Mariappan,

Mohd Zahuri Khairani,

Norzuraina Mohd

et al. 2024

ARASET

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The rapid advancements in technology have opened up new doors for both teachers and students to explore, learn, and create in innovative ways. However, this progress has also brought forth new challenges and complexities that demand a deeper understanding of the use of technology in art education. In this context, bibliometric analysis has emerged as a potent tool to examine emerging trends in the intersection of technology and art education. Employing the PRISMA approach (Preferred Reporting Items for Systematic Review and Meta-Analysis) and utilizing relevant Scopus databases with standardized procedures that ensure comprehensiveness and replicability, this bibliometric study identified 29 articles. The number of published articles in 2022, at 12, exceeded that of 2021, with only 6. Furthermore, the study highlighted the top 10 countries conducting research in technology and art education, with China having 17 studies, followed by the United States with 3 and Australia with 2. The top three keywords in current research trends are Education Computing, with 9 publications, E-learning, with 8, and Virtual Reality, with 7. Other keywords that relate to technology and art education are also pertinent to the research. These findings suggest that there is a growing interest in utilizing innovative research techniques to examine the intersection of technology and art education. As emerging technologies broaden the horizons of art-making and learning, they offer new avenues for creativity and innovation, but they also demand careful consideration of their potential benefits and risks. Educators and researchers will need to work in tandem to design effective strategies for integrating these technologies in ways that encourage creativity, learning, and social justice.

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“…The healthcare industry faces several hurdles, including escalating healthcare costs and a shortage of healthcare professionals [ 13 ]. To address these issues, the industry is exploring modern solutions to enhance healthcare services while curbing expenditure.…”

Section: Discussionmentioning

confidence: 99%

Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond

Alanazi

2023

Cureus

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Introduction: The healthcare industry has made significant progress in information technology, which has improved healthcare procedures and brought about advancements in clinical care services. This includes gathering crucial clinical data and implementing intelligent health information management. Artificial Intelligence (AI) has the potential to bolster further existing health information systems, notably electronic health records (EHRs). With AI, EHRs can offer more customized and adaptable roles for patients. This study aims to delve into the current and potential uses of AI and examine the obstacles that come with it. Method: In this study, we employed a qualitative methodology and purposive sampling to select participants. We sought out clinicians who were eager to share their professional insights. Our research involved conducting three focus group interviews, each lasting an hour. The moderator began each session by introducing the study's goals and assuring participants of confidentiality to foster a collaborative environment. The facilitator asked open-ended questions about EHR, including its applications, challenges, and AI-assisted features. Results: The research conducted by 26 participants has identified five crucial areas of using AI in healthcare delivery. These areas include predictive analysis, clinical decision support systems, data visualization, natural language processing (NLP), patient monitoring, mobile technology, and future and emerging trends. However, the hype surrounding AI and the fact that the technology is still in its early stages pose significant challenges. Technical limitations related to language processing and context-specific reasoning must be addressed. Furthermore, medico-legal challenges arise when AI supports or autonomously delivers healthcare services. Governments must develop strategies to ensure AI's responsible and transparent application in healthcare delivery. Conclusion: AI technology has the potential to revolutionize healthcare through its integration with EHRs and other existing technologies. However, several challenges must be addressed before this potential can be fully realized. The development and testing of complex EHR systems that utilize AI must be approached with care to ensure their accuracy and trustworthiness in decision-making about patient treatment. Additionally, there is a need to navigate medico-legal obligations and ensure that benefits are equitably distributed.

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The World with Future Technologies (Post-COVID-19): Open Issues, Challenges, and the Road Ahead

Cited by 58 publications

References 41 publications

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Uncovering Emerging Trends in Technology and Art Education: A Bibliometric Mapping Analysis

Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond

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