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With the changing times, the role of social media has increased manifold. It acts as one of the platforms for disseminating information to the public faster. Social media enables us to focus on widespread ways of reaching the target audience. The principal motto of this research study is to identify the role of social media in public health development with a systematic review of literature in terms of its practice, assistance and application in future areas of public health measures.

The research adopted a bibliometric analysis method to analyze the data from vast sources. The Scopus database was used to extract papers using appropriate keywords. Thus, the study tries to answer the following research questions: (1) to determine the key journals, authors and keywords in the public health development research; (2) to provide a theme-based cluster based on the keywords’ cooccurrences; and (3) to develop a research framework for the upcoming researchers.

The study's findings provide a path to understanding the present research stream regarding the highest publication in terms of journals and the year and relevance of social media in public health development. Five theme-based clusters have been identified based on keyword cooccurrences. Thus, future researchers can extend the research field using different themes and frameworks, adding value to the present research works.

This research work is helpful to the government, health practitioners, policymakers and researchers in investigating areas where social media can be implemented. Lastly, social media applications will provide health development measures and lucrative results to the public.

The research enumerates the significance of social media in public health development through bibliometric analysis. The research work analyzed, reviewed and measured the importance of social media in health development measures by recognizing its usage, application and potential future research directions. The theme-based clusters have also been identified from the keywords’ cooccurrences.

With the time and increase in usage of information technology (IT), blockchain technology is gaining immense attention from researchers, academicians, and practitioners because of its distinctive features such as transference, security and data reliability. The purpose of this study is to endow with a systematic review of literature on blockchain in context to the government education sector in terms of its usage, benefits, obstacles and practical implementation in future areas in education.

The study adopted a bibliometric visualization tool to classify data in yearly publications, highly cited journals, prominent authors, leading publications in countries and institutions and highly cited papers – the data was extracted from the SCOPUS database by using relevant keywords. Thus, the following research questions were developed: How has blockchain technology been used in the government educational sector? What are the benefits examined in the field of education? What were the problems/obstacles faced using the technology in a government education structure?

The findings identify and provide a comprehensive review of the technique regarding the present research stream in terms of highest publication, author, journal, subject-wise and relevance of the technology in government education structure. Thus, the future research potential of the technology in the education sector is much more as it is in the initiation stage. A lot of opportunities and benefits need to be extracted at large.

The present findings of the study provide a base work for government education institutions, policy developers and researchers to investigate other areas where the technology can be implemented. Finally, more technology applications will develop strategies for proper data management and cost-effective decisions.

This study explains the relevance of technology in education through bibliometric visualization. The study adopted the review and significance of blockchain technology in the government education sector by identifying its benefits, current scenario, application and future research potential areas.

The study aims to analyze the relationship between teachers’ information and communication technology (ICT) efficacy and the ICT environment in teaching-learning. For this, the current research attempts to explore and understand the role of ICT factors in higher education and develop a framework for future researchers to gain a substantial understanding of the teachers' ICT efficacy and ICT environment.

Teachers’ ICT efficacy has been analyzed in three domains, i.e. technological, content and pedagogical. The ICT environment is measured on training aspects, ICT tools and administrative support. The researcher adopted purposive sampling as a part of the non-probability sampling technique. The questionnaire was circulated among the experts through e-mail to collect the required response sheets. The experts are working in different academic institutes in India, primarily from premier institutes of the country. It covers all the regions of the country, and 22 experts are taken in the research study for collecting the data. The study uses the decision-making trial and evaluation laboratory method to explore the link among identified factors and criteria through the expert’s opinion method to achieve the set objectives within the Indian context.

The results indicate that the content efficacy of a teacher is pivotal to providing sound teaching-learning using digital tools and techniques. The developed model, measuring the cause-effect relationship based on the role of ICT efficacy of teachers in delivering teaching, will enable academic organizations to frame policies and strategies that will focus on enhancing teachers' competencies towards self and organizational growth.

The present research is one of the pioneering works that investigates the factors of ICT in higher education.

This study aims to review and synthesize existing research in the field. Additionally, this study identifies emerging themes and future research opportunities based on the discussions within these studies. This research also develops a model to integrate artificial intelligence with agile human resource (AHR) practices and strives to outline potential directions for future researchers.

This study adopted a systematic literature review (SLR) and bibliometric analysis followed by content analysis through bibliographic coupling to analyze the identified literature. The SCOPUS database was used in this study, using a search string of keywords to identify the relevant research literature. The initial extraction resulted in 151 articles after adopting a series of inclusion–exclusion criteria, which led to the final attainment of 73 articles to be included for further analysis and discussion.

This study through the extant literature identified five themes and foundations of artificial intelligence in AHR practices research and developed a model for future investigation by future researchers.

To the best of the authors’ knowledge, this study is one of a kind that explores artificial intelligence within AHR practices for improved employee and organizational well-being. Thus, developing a synthesized work provides a comprehensive picture of the research domain.

With the evolving landscape of technology and innovations, metaverse has revealed a huge potential for changing the world. Gradually, it has expanded its wings to different sectors, including higher education. The key purpose of this research work is to synthesize the existing literature on metaverse in higher education and develop future research directions for researchers.

The present study uses the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)” technique to recognize relevant articles from the database, i.e. SCOPUS. Furthermore, it conducts a “bibliometric analysis and systematic literature review” to explore the research area of metaverse in higher education.

The findings reveal that the synthesis and analysis of existing literature led to the identification of an intellectual structure, which resulted in the formation of four clusters. These clusters are defined as attributes related to metaverse applications in higher education, sustainable management of complex learning practices, customization of the teaching–learning process through the metaverse and model development. The theoretical structure informs the co-word analysis and thematic map, identifying four themes: the basic theme, motor theme, niche theme and decline theme. Finally, the social structure is assessed in terms of the author’s network and collaboration across countries.

The study investigated the conceptual structure by developing a thematic map and social structure by measuring the relationship between country–author collaboration through bibliographic coupling (BC). The study also identified future research avenues based on the “TCCM (theory, context, characteristics, and methodology)” framework for future researchers and practitioners.

The research study thrives on enlarging the review scope to measure the metaverse’s role in higher education. Though bibliometric studies have been developed in the metaverse, no study has attempted to measure the relationship between metaverse in higher education using bibliometric and TCCM framework. Thus, developing a synthesized work provides a comprehensive picture of the research domain.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.

In recent decades, organizations globally have faced challenges in adopting disruptive innovation. This chapter explores the relationship between change management and adopting disruptive innovations. Through a systematic analysis of existing literature, common themes and trends in this field are identified. The present study employs a bibliometric and content analysis of 77 publications to analyze the role of change management in the adoption of disruptive innovation. Additionally, a framework is presented to facilitate the understanding of how change management influences the adoption of disruptive innovations within organizations. The research highlights that embracing disruptive innovation is not straightforward; it demands a well-thought-out change management approach. This approach should emphasize cultivating an environment that encourages and nurtures innovation. Creating a culture that empowers employees to take risks and explore new ideas is crucial. Additionally, organizational culture, leadership, communication, and employee engagement emerge as critical factors for the successful adoption of disruptive innovations in the workplace. In summary, it is important to recognize that the successful adoption of disruptive innovations within organizations relies on the successful implementation of change management initiatives.

The purpose of this paper is to propose radiating system by avoiding electromagnetic interference in unwanted directions and to radiate the energy in the required direction with an optimization technique.

Practically, multiple, incompatible variables require concurrent boost on a synthesis of systematic antenna assemblage. The authors have worked out the main statistic penalty function to ensure all the restrictions. Here, MBPSO (Modified Binary Particle Swarm Optimization) is developed and introduced thin planar synthesis restriction. The sigmoid function is used to update the particle position. Different analytical demonstrations have been carried out, and the exhibited methods are predominant than the algorithms.

A 20 × 10 planar antenna array is synthesized using modified BPSO. The authors have suppressed the PSLL in two principal planes and as well as in the entire f plane. Numerical results state that MBPSO outperforms the other binary BPSO, BCSO, ACO, RGA, GA optimization techniques. MBPSO achieved a −51.84 dB PSLL level, whereas BPSO achieved −48.57 dB with the same 50% thinning.

Planar array antenna formation is one of the most complex syntheses because the array gets filled with more antenna elements. The machine-like complication and implementation of such an antenna arrangement with a broad opening would be expensive. It is not easy to control the required radiation patterns shape by using a uniform feeding network. To get better flexibility for sustaining the sidelobe levelheaded along with consistent amplitude distribution. So as far as prominence has been given to the evolutionary algorithm, find an ideal solution for objective array combinational problems.