Characterizing Elite Scholars of Library and Information Science: A Bibliometric Analysis

Abbas, Akhtar; Siddique, Nadeem; Gulzar, Ayesha; Khan, Usama Amin; Khan, Muhammad Ajmal; Mahmood, Khalid

doi:10.52461/jimp.v2i2.1429

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…These tasks include learning, reasoning, problem-solving, perception, and language understanding. 1 AI aims to replicate or simulate human cognitive abilities in machines, enabling them to analyze data, make decisions, and adapt to new situations. The field of AI encompasses various techniques and approaches, including: 1.…”

Section: Introductionmentioning

confidence: 99%

Impact of Artificial Intelligence (AI) in Library Services

2024

IJFMR

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The integration of Artificial Intelligence (AI) into Library and Information Science (LIS) has gained significant attention in recent years, offering promising opportunities to enhance library services and user experiences. This paper presents a comprehensive review of the literature on AI in LIS, synthesizing key themes, findings, and implications from existing research. The review identifies various opportunities afforded by AI technologies, including improved information retrieval, personalized recommendation systems, virtual assistance, data analytics, and digital preservation. Scholars highlight the potential of AI to revolutionize library services, streamline operations, and promote accessibility and inclusivity. However, the review also discusses several challenges and limitations associated with AI implementations in LIS, such as algorithmic bias, privacy concerns, digital divide, cost and resource requirements, and ethical considerations, Researchers emphasize the need for careful consideration of these challenges to ensure responsible and equitable AI user in libraries. User perspectives and experiences with AI-driven library services are examined, revealing insights into adoption factors, user preferences, and concerns about privacy, data quality, and trust in AI technologies. The evolving roles and skills of librarians and information professional in the AI era are also discussed, highlighting the importance of digital literacy, data management, and ethical decision-making. Case studies and best practices showcase successful examples of AI implantation in libraries, providing valuable lessons learned and insights for library practitioners. Finally, future directions and research agenda for AI in LIS are identified, including the development of AI-driven tools are services, exploration of ethical and social implications, and interdisciplinary collaborations to advance understanding and innovation in this rapidly evolving field. Overall, the review underscores the transformative potential of AI in LIS while emphasizing the importance of addressing challenges and ethical considerations to ensure responsible AI implantation and maximize its benefits for libraries and their patrons.

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Section: Introductionmentioning

confidence: 99%

Impact of Artificial Intelligence (AI) in Library Services

2024

IJFMR

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Trends and Patterns in Coso-Related Auditing Research: A Bibliometric Study

Qabajeh,

Qubbaja,

Jebreel

et al. 2024

EDPACS

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The E-leadership transformation in corporate environment: A bibliometric study

Alawamleh,

Alkayed,

Albdour

et al. 2024

HSM

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BACKGROUND: This study delves into the academic literature regarding the significance of e-leadership transformation within corporate environments. OBJECTIVE: The primary objective is to analyze and synthesize existing research on e-leadership transformation, identifying key trends, contributors, and thematic clusters. The study aims to provide a comprehensive understanding of the processes and impacts associated with e-leadership, as well as highlight areas for future research. METHODS: We used a dual-method approach incorporating bibliometric analysis as a part of the Systematic Literature Review (SLR) to examine 269 journal articles published between 2010 and 2024, with a focus on the period from 2019 onwards. RESULTS: The analysis identifies significant trends, influential articles, top journals, authors, and leading countries in the field. We identify thematic clusters such as digital leadership and strategic transformation, organisational communication and performance frameworks, behavioural dynamics, and transformational leadership strategies. IMPLICATIONS: Insights from this study offer a deeper understanding of e-leadership transformation’s relevance in corporate settings, highlighting future research prospects and avenues for further exploration in this dynamic and evolving field.

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Characterizing Elite Scholars of Library and Information Science: A Bibliometric Analysis

Cited by 3 publications

References 26 publications

Impact of Artificial Intelligence (AI) in Library Services

Impact of Artificial Intelligence (AI) in Library Services

Trends and Patterns in Coso-Related Auditing Research: A Bibliometric Study

The E-leadership transformation in corporate environment: A bibliometric study

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