A Review on Intelligent Library Services and Systems

Asemi, Asefeh

doi:10.4018/978-1-6684-8671-9.ch004

Cited by 2 publications

(3 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The literature reviews discuss the potential of AI implementation in libraries and how it can be used to solve library problems. Some studies have also been conducted on the application of AI in university libraries, including AI in Iran, a taxonomy study (Asemi and Asemi, 2018), human rights protection and AI (Miao, 2019), AI emergence (Omehia and Mmejim, 2020), robots in libraries (Guth and Vander Meer, 2017;Tella, 2020;Yao et al, 2015;Yueh et al, 2020), AI for cataloging (Schreur, 2020), AI to recommend books to users (Xiao and Gao, 2020), AI for service (Chen and Shen, 2019), library chatbots (Allison, 2012), AI for shelving and inventory processes (Zurek et al, 2013), AI in reference services (Honghai, 2020) and AI for classification (Phillips and Chen, 2017). Some of these included case studies of libraries' AI project initiatives.…”

Section: Literature Reviewmentioning

confidence: 99%

Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study

Harisanty

Anna

Putri

et al. 2022

LHT

View full text Add to dashboard Cite

PurposeThis study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.Design/methodology/approachThe study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.FindingsDifferent viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.Research limitations/implicationsThe study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.Practical implicationsLibraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.Social implicationsLibrary boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.Originality/valueThe study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study

Harisanty

Anna

Putri

et al. 2022

LHT

View full text Add to dashboard Cite

show abstract

“…Because of the many review papers relating to AI applications in libraries, some researchers have proposed a taxonomy for describing AI applications in library systems. Asemi and Asemi (2018) employed exploratory factor analysis to identify the AI techniques that are most applicable in libraries; they identified four criteria: including expert systems, decision support systems and recommender systems, intelligent data mining systems, and natural language processing systems. Asemi et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several studies have addressed the use of AI applications in libraries (Mogali, 2014; Tally, 2016; Asemi and Asemi, 2018; Vijayakumar and Sheshadri, 2019; Omame and Alex-Nmecha, 2020; Asemi et al. , 2021; Das and Islam, 2021), and empirical studies have examined university and library environments and the awareness and perceptions of librarians with regard to AI (Ex Libris, 2018; Cox et al.…”

Section: Introductionmentioning

confidence: 99%

Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan

Huang

2022

LHT

View full text Add to dashboard Cite

PurposeThis study explored the different artificial intelligence (AI) applications used in academic libraries and the key factors and impediments related to their implementation.Design/methodology/approachThe author applied quantitative research methods in the form of a questionnaire, using both open and closed questions. A total of 472 valid questionnaires were received from academic librarians.FindingsThe author sought responses from librarians who had implemented AI applications and those who had not, identifying the types of AI applications implemented, key factors relating to their implementation, and impediments to promoting AI. Gaps were identified between the level of support for AI applications and the negative effect of the impediments. Furthermore, the more extensive the individual and organizational knowledge activities performed by the librarians and libraries held, the more positive the attitude was librarians' attitude toward AI applications in their libraries. However, librarians recognized that AI applications are inevitable, but indicated that the difficulties of in execution have hampered the adoption of AI.Research limitations/implicationsThe sample data were collected in Taiwan; therefore, the data may only represent the views of Taiwanese academic librarians on AI applications. The results of this study may not apply to librarians worldwide; however, they may provide a useful reference.Practical implicationsThe results revealed the top four AI applications that libraries would most likely implement in the near future. Therefore, AI application developers and suppliers can prioritize the promotion of these products for to academic libraries. This study revealed that funding and costs related to AI implementation were discovered to be key factors relating to implementing AI applications. Some impediments to the implementation of AI applications relate to technological problems. Several librarians suggested that managers should invest more resources at an early stage rather than reducing cutting back on human resources initially. Although worries regarding privacy and ethics were mentioned expressed by some respondents, most academic librarians did not regard these to be major concerns.Originality/valueThis study provides the perspectives of librarians who have implemented AI applications and of those who have not. In addition, it explores the advantages and disadvantages of AI applications, and the level of support for and impact of AI applications and promotions. This study also included a gap analysis. Moreover, individual and organizational knowledge activity scales were adopted to examine AI awareness and the perceptions of academic librarians.

show abstract

A Review on Intelligent Library Services and Systems

Cited by 2 publications

References 61 publications

Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study

Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study

Exploring the implementation of artificial intelligence applications among academic libraries in Taiwan

Contact Info

Product

Resources

About