Artificial Intelligence (AI) in Pakistani university library services

Ali, Muhammad; Bhatti, Rubina

doi:10.1108/lhtn-10-2021-0065

Cited by 9 publications

(8 citation statements)

References 27 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Skilled human resources and financial resources should be available for the efficient functioning of the integrated semantic digital library system. These findings are in consonance with the research results conducted by Mayr et al (2008), Burke (2009), He et al (2010), Lee (2011), Kao and Wu (2012), Morato et al (2013), Pattuelli and Miller (2015), Dasgupta et al (2015), Solomou and Koutsomitropoulos (2015), Yan et al (2016), Cole et al (2017), Gul and Bano (2019), Warraich and Rorissa (2020), Ali et al (2021), Mehta (2021), Su (2021.…”

Section: Discussionsupporting

confidence: 91%

Section: Results Of the Studymentioning

confidence: 99%

“…(2016), Cole et al. (2017), Gul and Bano (2019), Warraich and Rorissa (2020), Ali et al. (2021), Mehta (2021), Su (2021).…”

Section: Discussionmentioning

confidence: 99%

“…Professional associations with the collaboration of LIS schools and libraries should make efforts to motivate authorities aware of the benefits of semantic libraries (Warraich and Rorissa, 2020). Library human resources should develop more technical skills for the design of semantic digital libraries (Ali et al, 2021). Technical equipment for information access, infrastructure response time, accessible e-resources, library service quality, information access tools, and software quality should be improved (Mehta, 2021).…”

Section: Factors Affecting the Adoption Of Sdlsmentioning

confidence: 99%

See 3 more Smart Citations

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

Shahzad

Khan

2022

LHT

View full text Add to dashboard Cite

PurposeMajor objective of the instant study was to investigate the factors affecting the adoption of integrated semantic digital libraries (SDLs). It attempted to find out the challenges faced in implementing semantic technologies in digital libraries. This study also aimed to develop a framework to provide practical solutions to efficiently adopt semantic digital library systems to offer richer data and services.Design/methodology/approachTo meet the formulated objectives of the study, a systematic literature review was conducted. The authors adhered to the “Preferred Reporting Items for the Systematic Review and Meta-analysis” (PRISMA) guidelines as a research method. The data were retrieved from different tools and databases. In total, 35 key studies were included for systematic review after having applied standard procedures.FindingsThe findings of the study indicated that SDLs are highly significant as they offered context-based information resources. Interoperability of the systems, advancement in bilateral transfer modules, machine-controlled indexing, and folksonomy were key factors in developing semantic digital libraries. The study identified five different types of challenges to build an integrated semantic digital library system. These challenges included ontologies and interoperability, development of a suitable model, diversity in language, lack of skilled human resources, and other technical issues.Originality/valueThis paper provided a framework that is based on practical solutions as a benchmark for policymakers to devise formal standards for the initiation to develop integrated semantic digital libraries.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Results Of the Studymentioning

confidence: 99%

“…(2016), Cole et al. (2017), Gul and Bano (2019), Warraich and Rorissa (2020), Ali et al. (2021), Mehta (2021), Su (2021).…”

Section: Discussionmentioning

confidence: 99%

Section: Factors Affecting the Adoption Of Sdlsmentioning

confidence: 99%

See 2 more Smart Citations

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

Shahzad

Khan

2022

LHT

View full text Add to dashboard Cite

show abstract

“…Despite these challenges, there was also a perceived opportunity for LIS professionals to improve their skills in areas such as AI, data science and data-driven knowledge and for libraries to introduce innovative library services to benefit their users. However, overall, very little research has been undertaken to date within Pakistani academic libraries regarding AI (Haq, 2021a(Haq, , 2021bAli et al, 2021). Khan and Bhatti (2020) have recommended that AI be considered a necessary digital skill for university librarians to be able to develop and manage digital libraries.…”

Section: Artificial Intelligence and Librariesmentioning

confidence: 99%

Artificial intelligence application in university libraries of Pakistan: SWOT analysis and implications

Ali

Bhatti

Richardson

2022

GKMC

Self Cite

View full text Add to dashboard Cite

Purpose The purpose of this study Artificial intelligence (AI) is one of the important emerging trends in information technology and is slowly being implemented in libraries. The researchers have presented a brief strengths, weaknesses, opportunities and threats (SWOT) analysis of the application of AI in Pakistani university libraries. Design/methodology/approach This study uses an ethnographic approach for data retrieval. Five chief librarians were interviewed by phone, during which they were asked to identify one key strength, weakness, opportunity and threat in terms of introducing AI technologies. The researchers have used a standard SWOT matrix to report the respondents’ comments. Findings AI is already slowly being introduced into Pakistani university libraries. While commenting on ways in which AI could help their libraries deliver more innovative services and better meet user needs, respondents expressed concern about the investment required in funding, time and staff. Research limitations/implications Further study is indicated to identify existing AI implementations in Pakistani university libraries and to assess relevant library users’ perspectives. This study is limited to brief, qualitative data; its main purpose is to validate the use of a SWOT analysis. Practical implications Given that AI-based tools are already being used in libraries to some degree regardless of location, now is an opportune time to develop strategies for implementing AI technologies more widely. A SWOT analysis can be used to identify and categorize challenges and risks specific to AI in a logical way to support strategic decision-making. Originality/value To date, no SWOT analysis has been conducted in the context of AI applications in libraries, let alone specifically university libraries in Pakistan.

show abstract

AI in academic libraries: The future is now

Marshall,

DuBose

2024

Public Services Quarterly

View full text Add to dashboard Cite

Artificial Intelligence (AI) in Pakistani university library services

Cited by 9 publications

References 27 publications

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

Factors affecting the adoption of integrated semantic digital libraries (SDLs): a systematic review

Artificial intelligence application in university libraries of Pakistan: SWOT analysis and implications

AI in academic libraries: The future is now

Contact Info

Product

Resources

About