Public library needs assessment to build a community-based library: Triangulation method with a social media data analysis

Shin, Grace; Kyungsun, Jeon; Lee, Hye-Eun

doi:10.1016/j.lisr.2022.101142

Cited by 13 publications

(11 citation statements)

References 21 publications

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“…Library closures were followed by budget changes and staff relocations at a municipal level (Haasio and Kannasto, 2020: 9-11). Public libraries also reorganised themselves during the Covid-19 pandemic according to imposed budget measures, mirroring developments at an international level (Matthews, 2020;Ameen, 2021;Reid and Bloice, 2021;Dalmer and Griffin, 2022;Shin et al, 2022;McMenemy et al, 2022). Furthermore, libraries in bigger cities (with greater budgets, staff, and resources) such as the Helsinki metropolitan area were more agile in their response than those in rural areas (with less budgets, staff and resource).…”

Section: Finnish Libraries and The Covid-19 Pandemicmentioning

confidence: 99%

“…Library closures were followed by budget changes and staff relocations at a municipal level (Haasio and Kannasto, 2020: 9–11). Public libraries also reorganised themselves during the Covid-19 pandemic according to imposed budget measures, mirroring developments at an international level (Ameen, 2021; Dalmer and Griffin, 2022; Matthews, 2020; McMenemy et al, 2022; Reid and Bloice, 2021; Shin et al, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

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Researching Finnish library responses to Covid-19 digital literacy challenges through the employment of reflective practice

Rivera-Macias¹,

Casselden

2022

Journal of Librarianship and Information Science

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Social distancing restrictions due to the Covid-19 pandemic were declared in Finland in March 2020. Libraries followed Government recommendations resulting in limited library service delivery across a variety of sectors. This research investigates challenges experienced by public, special and academic libraries in the Helsinki metropolitan area focussing on library staff reflections of digital literacy services offered during the pandemic. A multiple case study, with an emergent mixed methods research design was utilised. All data was gathered online due to Covid-19 restrictions: Quantitative data originated from an online survey of library staff; library websites were also audited. Qualitative data originated from semi-structured interviews. Triangulation of the data enabled a clear understanding of digital literacy challenges and responses. Overall, the mixed methods design and the data collection techniques, encouraged reflection upon experience, which in return informed a rich picture of the multiple case study. Results demonstrated that digital literacy challenges existed, particularly related to reaching library customers requiring digital support. Finnish libraries did not differentiate information literacy from digital literacy, as both were perceived as part of library service. Library staffs’ reflections corroborated similar research, for example, the impact of teleworking, on technology use and social aspects of working from home. Recommendations include undertaking further research on special libraries and promoting reflective practice as a mechanism for better understanding the views of library staff.

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Section: Finnish Libraries and The Covid-19 Pandemicmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Researching Finnish library responses to Covid-19 digital literacy challenges through the employment of reflective practice

Rivera-Macias¹,

Casselden

2022

Journal of Librarianship and Information Science

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“…By comparing the financial insurance security (FIS) model with the multilayer perceptron (MLP) model, the back propagation (BP) model, and the stacked autoencoder (SAE) model, the comparison indicators are mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), and error rate (ER) values. And, the calculation of these indicators is as follows [ 23 ]:

…”

Section: DL and Security Evaluation Of Enterprisesmentioning

confidence: 99%

Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models

Yang

2022

Computational Intelligence and Neuroscience

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To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptcy probability are discussed. Finally, an analytical model of the security bankruptcy probability of financial and insurance is designed through a deep learning model, and the model is evaluated comprehensively. The research results manifest that first, the designed security evaluation of the financial and insurance industry based on the deep learning and bankruptcy probability analysis model not only has strong learning ability but also can effectively reduce its own calculation error through short-time learning. Then, by comparing with other models, it is found that the designed model has a stronger ability to control various errors than other models, and the overall error rate of the model can be reduced to about 20%. At last, the data training indicates that the model designed by the deep learning method can accurately and effectively predict the basic situation of the financial and insurance industry, the minimum error can reach 0, and the highest is only about 3. The research provides a technical reference for the development of the financial and insurance industry and contributes to the prosperity of the social economy.

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“…AR may be used for headphones and/or digital devices like tablets, smartphones, and even desktop computers. Software, sensors, and digital projectors make up the systems, which enable digital displays to be projected onto real-world objects [26]. Since augmented reality has the ability to change what is actually happening, it is a great fit for libraries.…”

Section: Augmented Reality (Ar)mentioning

confidence: 99%

A Review on Emerging Trends and Technologies in Library

Nepali¹,

Tamang²

2022

AJIST

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Library service through mobile technology is a recent trend in library service. Mobile technology and its development have given rise to the excitement of faculty and student fraternity. This type of infrastructure needed by libraries to provide such services. The awareness about technologies like Mobile based services, Augmented Reality, Gamification, Internet of Things applications. The method opted for the study is descriptive and the tool used for collecting information is web survey. Literature related to emerging trends in libraries was collected from similar projects and other related articles from web. The project was started by analysing the technological developments in various libraries, kinds and new trends that emerged recently. Relevant data regarding the topic is also collected from scholarly publications and online databases to review the benefits, usage and the importance of emerging technology trends in libraries. This topic deals with new developments and techniques that are evolving in libraries. Some of the new trends are identified in this work. The limitation of the study is that, as many innovations are being introduced and also developed, only a selected number of technologies are included in the study.

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Public library needs assessment to build a community-based library: Triangulation method with a social media data analysis

Cited by 13 publications

References 21 publications

Researching Finnish library responses to Covid-19 digital literacy challenges through the employment of reflective practice

Researching Finnish library responses to Covid-19 digital literacy challenges through the employment of reflective practice

Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models

A Review on Emerging Trends and Technologies in Library

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