Knowing What the Patron Wants: Using Predictive Analytics to Transform Library Decision Making

Litsey, Ryan; Mauldin, Weston

doi:10.1016/j.acalib.2017.09.004

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…For instance, the library's adoption of an artificial intelligence system can replace the function of a library assistant that leads the patrons to the reading rooms to quest the book's precise position. The submission of Litsey and Mauldin (2018) supports this claim. He concludes that the library can use machine learning predictive analytic tools to analyse various data points to predict services and actions that can help user's services.…”

Section: Theoretical Modelmentioning

confidence: 52%

“…For instance, the library's adoption of an artificial intelligence system can replace the function of a library assistant that leads the patrons to the reading rooms to quest the book's precise position. The submission of Litsey and Mauldin (2018) analytic tools to analyse various data points to predict services and actions that can help user's services. Hence, intelligent systems offer a means of knowing the statistics of user's activities in the library building at any point in time.…”

Section: Theoretical Modelmentioning

confidence: 99%

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Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Okunlaya

Abdullah

Alias

2022

LHT

107

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PurposeArtificial intelligence (AI) is one of the latest digital transformation (DT) technological trends the university library can use to provide library users with alternative educational services. AI can foster intelligent decisions for retrieving and sharing information for learning and research. However, extant literature confirms a low adoption rate by the university libraries in using AI to provide innovative alternative services, as this is missing in their strategic plan. The research develops (AI-LSICF) an artificial intelligence library services innovative conceptual framework to provide new insight into how AI technology can be used to deliver value-added innovative library services to achieve digital transformation. It will also encourage library and information professionals to adopt AI to complement effective service delivery.Design/methodology/approachThis study adopts a qualitative content analysis to investigate extant literature on how AI adoption fosters innovative services in various organisations. The study also used content analysis to generate possible solutions to aid AI service innovation and delivery in university libraries.FindingsThis study uses its findings to develop an Artificial Intelligence Library Services Innovative Conceptual Framework (AI-LSICF) by integrating AI applications and functions into the digital transformation framework elements and discussed using a service innovation framework.Research limitations/implicationsIn research, AI-LSICF helps increase an understanding of AI by presenting new insights into how the university library can leverage technology to actualise innovation in service provision to foster DT. This trail will be valuable to scholars and academics interested in addressing the application pathways of AI library service innovation, which is still under-explored in digital transformation.Practical implicationsIn practice, AI-LSICF could reform the information industry from its traditional brands into a more applied and resolutely customer-driven organisation. This reformation will awaken awareness of how librarians and information professionals can leverage technology to catch up with digital transformation in this age of the fourth industrial revolution.Social implicationsThe enlightenment of AI-LSICF will motivate library professionals to take advantage of AI's potential to enhance their current business model and achieve a unique competitive advantage within their community.Originality/valueAI-LSICF development serves as a revelation, motivating university libraries and information professionals to consider AI in their strategic plan to enable technology to support university education. This act will enable alternative service delivery in the face of unforeseen circumstances like technological disruption and the present global COVID-19 pandemic that requires non-physical interaction.

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Section: Theoretical Modelmentioning

confidence: 52%

“…For instance, the library's adoption of an artificial intelligence system can replace the function of a library assistant that leads the patrons to the reading rooms to quest the book's precise position. The submission of Litsey and Mauldin (2018) analytic tools to analyse various data points to predict services and actions that can help user's services. Hence, intelligent systems offer a means of knowing the statistics of user's activities in the library building at any point in time.…”

Section: Theoretical Modelmentioning

confidence: 99%

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Okunlaya

Abdullah

Alias

2022

LHT

107

View full text Add to dashboard Cite

show abstract

“…The review showed examples of exploitation in 11 papers (code U-2, 11/126 papers), whereby the data provided by patrons are used to analyse users' satisfaction (Ochilbek, 2019;Yue & Jia, 2008) or to make predictions concerning future requests (Litsey & Mauldin, 2018). Facebook posts from patrons can also be used to predict responses to different types of library posts (Gruss et al, 2020).…”

Section: Role Of the Usermentioning

confidence: 99%

Understanding Artificial Intelligence in Research Libraries – Extensive Literature Review

Gasparini

Kautonen

2022

LIBER

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Artificial intelligence (AI) now forms a part of various activities in the academic world. AI will also affect how research libraries perform and carry out their services and how the various kinds of data they hold in their repositories will be used in the future. For the moment, the landscape is complex and unclear, and library personnel and leaders are uncertain about where they should lay the path ahead. This extensive literature review provides an overview of how research libraries understand, react to, and work with AI. This paper examines the roles conceived for libraries and librarians, their users, and AI. Finally, design thinking is presented as an approach to solving emerging issues with AI and opening up opportunities for this technology at a more strategic level.

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“…While Schreur (2020: 479) argues that the full adoption of AI into the technical services workflow will likely depend on a significant advance in linked data, he asserts that many “routine and repetitive” tasks could be automated. At the administrative level, there is interest in using AI as a predictive tool for assessing usage, which could inform the more efficient use of budgets and outreach efforts (Litsey and Mauldin, 2018; Renaud et al, 2015; Walker and Jiang, 2019). However, the reality of AI in libraries does not seem to have lived up to its initial promise at this point, and the previous examples seem to be exceptions to a general state of adoption rather than evidence of widespread adoption.…”

Section: Ai For Resource Description and Discoverymentioning

confidence: 99%

Automating intellectual freedom: Artificial intelligence, bias, and the information landscape

Smith

2021

IFLA Journal

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Anxieties over automation and personal freedom are challenging libraries’ role as havens of intellectual freedom. The introduction of artificial intelligence into the resource description process creates an opportunity to reshape the digital information landscape—and loss of trust by library users. Resource description necessarily manipulates a library’s presentation of information, which influences the ways users perceive and interact with that information. Human catalogers inevitably introduce personal and cultural biases into their work, but artificial intelligence may perpetrate biases on a previously unseen scale. The automation of this process may be perceived as a greater threat than the manipulation produced by human operators. Librarians must understand the risks of artificial intelligence and consider what oversight and countermeasures are necessary to mitigate the harm to libraries and their users before ceding resource description to artificial intelligence in place of the “professional considerations” the IFLA Statement on Libraries and Intellectual Freedom calls for in providing access to library materials.

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Knowing What the Patron Wants: Using Predictive Analytics to Transform Library Decision Making

Cited by 9 publications

References 4 publications

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Understanding Artificial Intelligence in Research Libraries – Extensive Literature Review

Automating intellectual freedom: Artificial intelligence, bias, and the information landscape

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