Efficient Services Management in Libraries using AI and Wireless techniques

R-Moreno, María D.; Castaño, Bonifacio; Barrero, David F.; Hellín, Agustín Martínez

doi:10.1016/j.eswa.2014.06.047

Cited by 15 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A few scholarly research are available on the use of AI in providing library services. For instance, R-Moreno et al (2014) proposed using radio frequency identification (RFID) in libraries to assist users in locating new and existing library resources. AI can provide continued access to an increasing domain of full-text online resources, enabling the libraries to provide services beyond traditional (Folorunso and Momoh, 2020).…”

Section: Literature Reviewmentioning

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

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.

show abstract

Section: Literature Reviewmentioning

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

“…Among the different educational application domains, these functionalities have been selected to develop advanced digital libraries (Griol et al ., ), which extend the concept of Library 2.0. To do this, we have relied on the recommendations for the development of University Digital Libraries (Vassilakaki and Garoufallou, ) compiled by recent studies (Chen and Albee, ; Moreno et al ., ), which propose using new open‐source technologies to build complex systems at less cost, increasing the efficiency and sharing of bibliographic records for all libraries, maximizing the use of these libraries, providing new types of multimedia contents and interaction possibilities and transferring library efforts into higher‐value activities.…”

Section: Introductionmentioning

confidence: 99%

Incorporating android conversational agents in m‐learning apps

2016

View full text Add to dashboard Cite

Smart mobile devices have fostered new learning scenarios that demand sophisticated interfaces. Multimodal conversational agents have became a strong alternative to develop human-machine interfaces that provide a more engaging and human-like relationship between students and the system. The main developers of operating systems for such devices have provided application programming interfaces for developers to implement their own applications, including different solutions for developing graphical interfaces, sensor control and voice interaction. Despite the usefulness of such resources, there are no strategies defined for coupling the multimodal interface with the possibilities that these devices offer to enhance mobile educative apps with intelligent communicative capabilities and adaptation to the user needs. In this paper, we present a practical m-learning application that integrates features of Android application programming interfaces on a modular architecture that emphasizes interaction management and context-awareness to foster user-adaptively, robustness and maintainability.

show abstract

“…• The assumption that the programmer makes usually to describe the physical layer objects in the simulation application, which may deviate from the actual description of the hardware in real life which may cause a variance in behaviour between the object in simulation and real life [43]. This must be fixed by the programmer at the early steps of building the simulator, the programmer needs to describe the hardware based on the manufacturer documented specifications, this should be as accurate as possible.…”

Section: Software Simulationmentioning

confidence: 99%

“…According to Chhimwal et al [43], the following components need to be considered when building a WSN system:…”

Section: Software Simulationmentioning

confidence: 99%

Tracking and Automating a Library System Using Radio Frequency Identification Technology

Alwadi

Kilby

Gawanmeh

2017

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

Efficient Services Management in Libraries using AI and Wireless techniques

Cited by 15 publications

References 15 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

Incorporating android conversational agents in m‐learning apps

Tracking and Automating a Library System Using Radio Frequency Identification Technology

Contact Info

Product

Resources

About