Shakil Ahmad

Purpose: The study aimed to identify the effects of emerging technologies on sustainable library services. In this study, sustainability refers to the long-term efficiency, adaptability, accessibility and user-centeredness of library services enabled through technological integration. Design/methodology/approach: This study used a quantitative research design to address the objectives. The population consisted of librarians from the public and private sector universities of Pakistan. The data were analyzed using SmartPLS software. Findings: The analysis consisted of two major parts: first, the assessment of measurement model and second, the structural equation modelling analysis. A significant positive effect of emerging technologies (artificial intelligence, gamification, wearable technologies, Internet of Things, blockchain technology, ChatGPT and m-learning) was found on the sustainable library services. Research limitations/implications: The study has provided worthwhile theoretical contributions by adding valuable literature to the existing body of knowledge. Practical implications: It has provided practical contributions by offering a context-specific baseline for management bodies in university libraries, particularly in developing countries, to construct policies for the successful adoption of emerging technologies for sustainable library services. Social implications: The study has social implications too as smart library services prove fruitful for society. Originality/value: This is the first empirical study examining the integrated effects of multiple emerging technologies on sustainable library services within the context of university libraries in Pakistan. Its implications may be cautiously extended to similar developing academic environments.

Tribal communities, with their unique cultures, traditions, and economies, represent diverse indigenous groups worldwide. They thrive on sustainable practices and are deeply intertwined with the environment. However, colonization, forced assimilation, and land use have disrupted their traditional livelihoods, raising concerns about economic conditions. Entrepreneurship has emerged as a key tool for uplifting the financial conditions of these communities, as evidenced by policies and increased research. This paper analyses the progress of research on tribal entrepreneurship using bibliometric approaches. The curated data was retrieved from SCOPUS using keywords related to Tribal and indigenous communities and entrepreneurship. The study analyses the key bibliometric aspects of temporal growth, authors, institutions, country, and journal productivity, and thematic network visualization using VOSviewer. The study is based on 529 documents in the field of tribal entrepreneurship research, indicating a substantial increase in publications. Most publications have been published in the United States. However, India is an emerging country regarding publications on tribal entrepreneurship. Key themes include indigenous community, sustainable economics, tribal tourism, economic development, and women’s entrepreneurship. The outcomes of this study significantly contribute to the tribal entrepreneurship literature by providing insight into entrepreneurial aspects. Many themes identified through this study, along with tribal tourism, offer a valuable insights for uplifting economic conditions. Furthermore, the study shall help future researchers delve into recent advancements in tribal entrepreneurship to assess its individual impact.

The study aimed to identify the e-learning prospects for librarians’ sustainable competence and smart library service delivery in academic settings. A systematic literature review methodology was employed to address the study’s objectives. 20 peer-reviewed articles published in the world’s reputed digital databases were selected to conduct the study. The study identified six key prospects of e-learning on librarians’ sustainable competence development that included enhancement of digital pedagogy and instructional competence, advancement of technological adaptability and digital integration, promotion of lifelong learning and self-paced professional growth, strengthening of collaborative and global engagement skills, expansion of specialized information and content curation skills, and empowerment in user-centered service innovation. The study also revealed four key positive effects of e-learning on smart library services in academic settings that included service realignment and digital continuity, integration of intelligent systems and user analytics, expansion of digital learning ecosystems, the personalized and inclusive learning support. The study has provided the best practices to incorporate e-learning in academic settings for building sustainable competence development of librarians and innovative library services.

Purpose: The study aimed to identify the impact of Chat Generative Pre-Trained Transformer (ChatGPT) on reference services in university libraries. The study also aimed to reveal the challenges associated with its adoption in university libraries. Design/methodology/approach: Quantitative research design was used to address the study's objectives. Data were collected from 127 professional librarians of 79 university libraries in Punjab province, Pakistan by conducting survey of the population. Descriptive and inferential statistical tests were used through SPSS Software. Findings: Findings of the study revealed that ChatGPT has a significant positive impact on library services. It provides efficient, effective and innovative reference services to end users for addressing their diverse information needs. The study also found that ChatGPT adoption in university libraries was hindered by various limitations including inaccurate query responses, ethical considerations, data piracy, security implications, bias, dependency on third-party services, privacy and security concerns and loss of academic integrity. Originality/value: On the basis of empirical evidence, the study has provided practical recommendations for the adoption of ChatGPT in university libraries for smart reference services.

Over the last few years, considerable attention has been devoted to glass fiber-reinforced composites (GFRCs) in the field of dentistry. Glass fiber-reinforced composites are useful in prosthodontics, endodontics, restorative dentistry, orthodontics, and periodontics. This study considered various aspects related to GFRCs to assess the publications and citations on the subject from 1998 to 2022.A bibliometric method of analysis was adopted to conduct the study. The relevant papers published within the established time frame were identified. A document-type filter was applied to retrieve only those results that were peer-reviewed. The most influential authors, journals, institutions, and countries were identified, as indicated by the number of citations, as well as the most frequently used keywords.The findings of the bibliometric analysis revealed that the first article on GFRCs in the context of dentistry was published in 1998. The greatest number of papers on this subject was published in 2011 (n = 51), while the number of citations reached its peak in 2008 (n = 1,546). The University of Turku in Finland published the greatest number of articles, whereas Brazil was the most prolific country, producing the highest number of publications on dental fiber. Researchers from Brazil, Italy and Germany mainly collaborated with researchers from other countries, including the USA and Finland. The analysis revealed that publications of multiple authors were more likely to be cited.Significant advancements have been made in the field of GFRCs, as demonstrated by an increased collaboration amongst different countries, organizations and investigators, which enhanced the development and progression of research related to GFRCs.

Manual therapy (MT) is a dynamic entity progressing rapidly. The current trend stimulates a direction toward higher specificity in the research. This is the first bibliometric review to identify the trends in MT in the last ten years (till 2023). The Scopus database was selected to retrieve the bibliographic records. Biblioshiny (Bibliometrix), PowerBI, MS Excel, and MS Access were used to visualize and analyze the results. 1208 relevant studies were included in the analysis. Publishing has a rising character. The four-author articles are the most common, while only 68 are single-author studies. In 2021, the highest number of publications (n=178) was published. The Journal of Bodywork and Movement Therapies has published the highest number of publications (75). The USA is the most prolific country in publishing (361 studies) and total citations (4869). Universidad Rey Juan Carlos (Spain) is the most productive and cited institution. Fernández-De-Las-Peñas C. is the most productive, and Mark D. Bishop is the most cited author. The USA, Australia, Canada, and European countries have the most frequent collaborations. MT was the most common research focus from 2017 to 2019. The topics of exercise therapy, musculoskeletal therapy, physical therapy, and physiotherapy have been the focus of research in the context of MT lately. The present study reported the research-related trends in MT applying bibliometric methods and identified the most productive countries, institutions, and researchers over the past decade. These findings are intended to assist the researchers in better orientation in the research field and to specify the trends for future research studies. Keywords: Manual therapy; physiotherapy; research trends; bibliometrics; thematic evolution; research collaboration

Women LIS researchers in Pakistan have been publishing their research since 1977. This paper provides a bibliometric analysis of the 43 years (1977–2020) of their research. This study conducted a bibliometric analysis of the data collected from four data sources, the Web of Science Core Collection, Scopus, LISA, and LISTA, to include the maximum number of scholarly publications by women Pakistani LIS researchers working in Pakistan or abroad. The study findings highlighted an upward trend in publications since 1977. It appears to have gathered momentum after the year 2003. The University of the Punjab was the top-ranked organization in publishing research by woman LIS researchers, and the Department of Information Management at the University of the Punjab was identified as being the most prolific in this regard. The researchers had published over 40% of their research in national journals and the rest in international journals of good repute. Kanwal Ameen led the list of woman researchers with over 100 research publications to her name. The main areas of research were academic libraries, information literacy, and evolving trends in LIS. This is the first research paper highlighting the different dimensions of Pakistani LIS women researchers since they started publishing in 1977. The findings of the study would help future researchers to understand trends and various bibliometric aspects of publications originating from women LIS researchers in Pakistan. The findings could also help LIS researchers and funding organizations in promoting the profession.

This study examined the impact of personality traits on the knowledge sharing behavior of academicians in the public sector. The data were collected from 237 respondents using a questionnaire. The results showed that the personality trait openness to experience had a significant and positive impact on the knowledge sharing behavior and its sub-dimensions such as written contributions, organizational communication, personal interactions, and communities of practice. Furthermore, the personality traits extraversion and agreeableness positively predicted the knowledge sharing behavior for the dimensions of communities of practice and organizational communication, respectively. The results of this study would be helpful for the administrative staff of universities to develop programs to promote a knowledge sharing culture in universities and improve collaborative learning, research, organizational effectiveness, and performance. It would also be a worthy contribution to the existing literature as only a limited number of studies have addressed the role of personality traits in the knowledge sharing behaviors in the academic environment of a non-western country.

Rubella virus (RuV) generally causes a mild infection, but it can sometimes lead to systemic abnormalities. This study aimed to conduct a bibliometric analysis of over two decades of RuV research. Medical studies published from 2000 to 2021 were analyzed to gain insights into and identify research trends and outputs in RuV. R and VOSviewer were used to conduct a bibliometric investigation to determine the globally indexed RuV research output. The Dimensions database was searched with RuV selected as the subject, and 2500 published documents from the preceding two decades were reviewed. The number of publications on RuV has increased since 2003, reaching its peak in 2020. There were 12,072 authors and 16,769 author appearances; 88 publications were single-authored and 11,984 were multi-authored. The United States was the most influential contributor to RuV research, in terms of publications and author numbers. The number of RuV-related articles has continued to increase over the past few years due to the significant rubella burden in low-income nations. This study will aid in formulating plans and policies to control and prevent RuV infections.

The objectives of the study were to identify the relationship between big data analytics with context-based news detection on digital media in the data age, to find out the trending approaches to detect fake news on digital media, and to explore the challenges for constructing quality big data to detect misinformation on social media. Scoping review methodology was applied to carry out a content analysis of 42 peer-reviewed research papers published in 10 world-leading digital databases. Findings revealed a strong positive correlation between quality big data analytics and fake news detection on digital media. Additionally, it was found that artificial intelligence, fact-checking sites, neural networks, and new media literacy are trending techniques to identify correct information in the age of misinformation. Moreover, results manifested that hidden agenda, the volume of fake information on digital media, massive unstructured data, the fast spread of fake news on digital media, and fake user accounts are prevalent challenges to construct authentic big data for detecting false online information on digital media platforms. Theoretically, the study has added valuable literature to the existing body of knowledge by exploring the relationship between big data analytics and context-based fake news on digital media in the data age. This intellectual piece also contributes socially by offering practical recommendations to control the cancer of fake news in society for stopping horrific perils; hence, it has a societal impact. Current research has practical applications for generators of digital media applications, policy-makers, decision-takers, government representatives, civil societies, higher education bodies, media workforce, educationists, and all other stakeholders. Recommendations offered in the paper are a roadmap for framing impactful policies to stay away from the harms of fake digital news.