Search results

Virtual communities of practice (VCoP) are becoming increasingly popular as professional networking. These communities support and shape professional development, especially in countries with limited opportunities and constrain like time and distance. This study throws light on the role of VCoP and its impact on the continuous professional development (CPD) of librarians in Pakistan.

This study is carried out with qualitative research methods to understand effects of VCoP on CPD. With a thematic content analysis on the email conversations of a library and information science (LIS) Yahoo mailing group “plagpk”, the impact of virtual communities (VCs) on librarians' professional development in Pakistan over the past 20 years was analyzed.

This study demonstrates that VCs contribute to professional learning, problem-solving, knowledge creation, professional awareness and identity creation in the LIS field. Further, this study contributes a model to explain the formal and informal professional development for individuals and groups through VCoP engagement.

It is hoped that this study will help the librarian community create, get involved in the VCoP for personal, professional development consciously and create an impact in the profession. The finding of this study is generalizable to any social sciences or humanities professionals VCoPs.

This is one of the first studies in the LIS field to analysis the impact of VCs on the professional development of the librarians.

The objectives of the study were to identify the effects of blockchain technology (BT) on the university librarians, the impact of BT on the university library services and to reveal the challenges to adopt BT in the university libraries.

A systematic literature review was applied to address the objectives of the study. Around 25 studies published in peer-reviewed journals were selected to conduct the study.

The findings of the study revealed that blockchain technology (BT) has positive effects on the university librarians as it assists them in digital resources management, provision of integrated library services, effective records management and continued professional development. The study also displayed that BT has a positive impact on the university libraries through effective information management, user privacy, collaboration, technological innovation and access control. Results also revealed that technical issues, financial constraints, security problems, skill issues and sociocultural issues created challenges to adopt BT in the university libraries.

The study has offered theoretical implications for future investigators through the provision of innovative literature on the prospectus and challenges associated with blockchain in the context of librarianship. The study has also provided practical implications for management bodies by offering recommendations for the successful adoption of blockchain in the university libraries. Additionally, a framework has been developed to adopt BT successfully in the university libraries for the delivery of smart library services to library patrons.

This study aims to identify the effects of artificial intelligence (AI) on university libraries and to reveal challenges associated with the adoption of AI-powered applications in libraries.

A systematic literature review (SLR) was applied to address the study’s objectives. The 25 most relevant seminal studies published in Scopus- and Web of Science-indexed journals were selected to conduct the study.

Findings revealed that AI has strong positive effects on university libraries. These effects included efficiency and promotion of library products, innovative library services, alignment of library services with the fourth industrial revolution (4IR), collection management and user services and transformation of library systems. Results also manifested that skills and knowledge barriers, financial and resource constraints and resistance to change created challenges to adopt AI-based services in university libraries.

This study has added valuable literature to the existing body of knowledge by conducting SLR on the basis of 25 most relevant research articles published in cite score and impact factor journals. It has provided practical implications by offering recommendations to adopt AI in university libraries. The study is a benchmark for policymakers, AI applications developers, higher education bodies, government representatives, university administration and library leadership to devise effective strategies and methods for the efficient adoption of AI in libraries. The study has also provided a framework to adopt AI applications in library settings.

For the provision of smart library services to end users, tools of the Internet of Things (IoT) play a significant role. The study aims to discover the factors influencing the adoption of IoT in university libraries, investigate the impact of IoT on university library services and identify challenges to adopt IoT applications in university libraries.

A systematic literature review was carried out to address the objectives of the study. The 40 most relevant research papers published in the world’s leading digital databases were selected to conduct the study.

The findings illustrated that rapid growth in technology, perceived benefits, the networked world and the changing landscape of librarianship positively influenced the adoption of IoT in university libraries. The study also displayed that IoT supported library professionals to initiate smart library services, assisted in service efficiency, offered context-based library services, provided tracking facilities and delivered effective management of library systems. Results also revealed that a lack of technical infrastructure, security and privacy concerns, a lack of technological skills and unavailability of policy and strategic planning caused barriers to the successful adoption of IoT applications in university libraries.

The study has provided theoretical implications through a valuable addition to the current literature. It has also offered managerial implications for policymakers to construct productive policies for the implementation of IoT applications in university libraries for the attainment of fruitful outcomes. Finally, the study provides a baseline for understanding the adoption of IoT in academic libraries.

The purpose of this study is to know the perceptions of university librarians in Pakistan about the benefits of electronic learning for continuing professional development (CPD), to identify the motivating factors to engage librarians in electronic learning programmes for CPD and to investigate the challenges of adopting electronic learning faced by university librarians in Pakistan for CPD.

A quantitative research method followed by a survey research design was applied to address the study’s objectives. Quantitative data was gathered from the target population through a questionnaire. The target population of the study was consisted of all library professionals working in the Higher Education Commission (HEC)-recognized public and private sector universities of Pakistan.

The findings of the study showed that respondents positively realized the benefits of electronic learning for CPD. According to the results, organizational support is a prominent motivational factor for librarians to attend electronic learning programmes and develop their professional skills. Findings revealed that lack of technical support is identified as the most prominent problem in the effective adoption of electronic learning technologies. Technical challenges, such as inadequate infrastructure, poor networks, broadband access issues and low bandwidth, create obstacles for librarians in implementing electronic learning for their CPD.

This study is fruitful for library leadership to apply the emerging technologies to benefit from electronic learning for career development to deliver value-added services to the end users of university libraries.

This study aims to identify the librarians’ readiness to leverage artificial intelligence for sustainable competence development and smart library services.

This study used a quantitative research design for addressing the objectives. The population consisted of librarians from the public and private sector universities of Pakistan. The data were analyzed by using Smart PLS software.

The analysis consisted of two major parts: first the assessment of measurement model and second the structural equation modeling analysis. A significant positive impact of AI adoption was found on the implementation smart library services. Findings revealed that behavioral intention motivated librarians to adopt AI tools in university libraries for the delivery of smart library services.

We applied quantitative method to carry out the study while future authors may conduct a systematic literature review on the same topic for offering a broader outlook.

It has provided practical contributions by providing a baseline for management bodies to construct policies for the successful adoption of AI in libraries for sustainable competence development of practicing librarians and implementation of smart library services.

The study has social implications too as AI integrated library services prove fruitful for society and digitally skilled librarians play a vital role for the promotion of reading and research culture in society.

To the best of the authors’ knowledge, this is the first study on librarians’ readiness to leverage artificial intelligence for the enhancement of digital literacy skills, sustainable competence development and smart library services in the context of Pakistan.

Cyberbullying is a visible and prominent issue in today’s society. This study aims to identify factors influencing cyberbullying, discover its consequences on society, learn strategies and practices for dealing with cyberbullying and propose a framework to control cyberbullying in an online environment.

A systematic literature review was applied to meet the study’s objectives as the research methodology. A total of 27 peer-reviewed journal papers covering the study’s variables were included to carry out the systematic review.

The findings of the study revealed that social media, advancement of technology, lack of awareness, negative use of technology and smartphones affected cyberbullying in society. The study also showed the psychological disasters of cyberbullying. Prominent psychological dangers of the cyberbullying included emotional, psychiatric, psychosomatic, mental aggression, delinquency, depression, psychological distress, frustration, isolation, violence, unhappiness, suicidal tendencies, inferiority complex, embarrassment, negative emotions, self-harming attitudes and the passions of revenge. It also provided key strategies to stop and control cyberbullying activities. Key strategies included digital literacy, social support, emotional management, strict cyber laws and effective training sessions.

The study has provided a framework to stop and control cyber bullying for social survival. The study has offered significant theoretical, social and practical implications.

This study aimed to identify the university librarians’ readiness to adopt artificial intelligence (AI) for innovative learning experiences and smart library services.

Quantitative research design followed by a survey method was applied. Data were collected from 174 professional librarians of 58 university libraries in Punjab province, Pakistan.

The findings of the study revealed that the adoption of AI enhances innovative learning. The results displayed that AI adoption assists librarians in the provision of smart library services to end users.

The study has offered practical recommendations in light of the evidence-based data for the efficient adoption and sustainability of AI applications in university libraries for innovative learning and smart library services. It contributes to the theoretical understanding by expanding the existing knowledge base. It offers managerial insights and has a societal impact. The study has provided a framework based on the empirical findings for efficiently adopting AI tools in academic settings for the provision of innovative learning experiences and sustainable smart library services.

The purpose of this study is to identify the relationship between artificial intelligence (AI) and fake news detection. It also intended to explore the negative effects of fake news on society and to find out trending techniques for fake news detection.

“Preferred Reporting Items for the Systematic Review and Meta-Analysis” were applied as a research methodology for conducting the study. Twenty-five peer-reviewed, most relevant core studies were included to carry out a systematic literature review.

Findings illustrated that AI has a strong positive relationship with the detection of fake news. The study displayed that fake news caused emotional problems, threats to important institutions of the state and a bad impact on culture. Results of the study also revealed that big data analytics, fact-checking websites, automatic detection tools and digital literacy proved fruitful in identifying fake news.

The study offers theoretical implications for the researchers to further explore the area of AI in relation to fake news detection. It also provides managerial implications for educationists, IT experts and policymakers. This study is an important benchmark to control the generation and dissemination of fake news on social media platforms.

This paper aims to explore the determinants causing fake information proliferation on social media platforms and the challenges to control the diffusion of fake news phenomena.

The authors applied the systematic review methodology to conduct a synthetic analysis of 37 articles published in peer-reviewed journals retrieved from 13 scholarly databases.

The findings of the study displayed that dissatisfaction, behavior modifications, trending practices to viral fake stories, natural inclination toward negativity and political purposes were the key determinants that led individuals to believe in fake news shared on digital media. The study also identified challenges being faced by people to control the spread of fake news on social networking websites. Key challenges included individual autonomy, the fast-paced social media ecosystem, fake accounts on social media, cutting-edge technologies, disparities and lack of media literacy.

The study has theoretical contributions through valuable addition to the body of existing literature and practical implications for policymakers to construct such policies that might prove successful antidote to stop the fake news cancer spreading everywhere via digital media. The study has also offered a framework to stop the diffusion of fake news.