Users’ Education as Correlates of Library Resources Utilization by Undergraduates’ in Selected Universities in Kwara State

Temim, Fatima; Omopupa, K. T.; Ajani, Florence Olabisi

doi:10.20473/rlj.v7i1.121

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…In the eld of econometrics, panel data are an extremely important type of data. As early as the mid-1960s, the NLS in the United States began to collect labor force data information of di erent age-groups; another well-known panel dataset is the PSID of the University of Michigan, which has collected more than 6,000 representative data from across the United States since 1968 [1]. Annual economic information about 15000 families and more than 15000 individuals.…”

Section: Introductionmentioning

confidence: 99%

Application and Analysis of Spatial Spillover Effects of an Improved Panel Data Econometric Model in Universities, Population, and Industrial Parks in Guiyang

2022

Mobile Information Systems

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In the field of econometrics, panel data are an extremely important type of data. In macroeconomic research, panel data models are widely used in exchange rate determination theory, testing of cross-border economic growth and convergence theory, analysis of industrial structure, research on technological innovation, etc. The agglomeration and population distribution of colleges and universities, and the economic support of industrial parks play an important role in economic and social development as a source of research and development and a source of talents. The panel data model usually assumes that the error term follows a normal distribution, but the actual data are difficult to satisfy this assumption, and the estimation obtained by traditional methods may be biased or even invalid. This paper proposes a more robust and effective estimation method (ELS-EL) based on the panel data mean regression model, and extends this method to complex panel data models such as generalized linear models and partial linear models; in addition, this paper is based on panel data. We proposed a two-stage instrumental variable method (2S-IVFEQR) to reduce the computational complexity and generalized the new method to the quantile regression model of dynamic panel data. At the same time, this paper uses the above-improved panel data econometric model to analyze the spatial spillover effects of college aggregation, population distribution, and industrial parks in Guiyang. This study found that the agglomeration of colleges and universities has significantly promoted the economic growth of our country. These promotion effects come from both the direct contribution of college agglomeration and the positive external spillover effect of college agglomeration.

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Section: Introductionmentioning

confidence: 99%

Application and Analysis of Spatial Spillover Effects of an Improved Panel Data Econometric Model in Universities, Population, and Industrial Parks in Guiyang

2022

Mobile Information Systems

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“…Many academic libraries provide online public query catalogues, resource discovery, facility status and other library information (Mansouri and Asl, 2019; Wei and Yang, 2017). Mobile libraries, with strong professional and comprehensive research capabilities, offer great development space for university disciplinary teaching, cultural exchange, scientific research and applied technology (Temim et al , 2021; Yan et al , 2020). Based on the above research, it can be observed that mobile technology can provide users with convenient information search and knowledge services.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors influencing the adoption of public mobile libraries in China: a stimulus–response perspective

Liu,

Fu,

Liang

et al. 2023

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Purpose This study aims to investigate the factors that affect the intention to use public mobile libraries and enhance the quality of mobile library services to attract and retain users. Design/methodology/approach A questionnaire survey was conducted with 391 valid users in China. Based on the stimulus–response theory and user individual characteristics, a model was developed to examine the factors influencing the intention to use public mobile libraries. The model was tested using statistical software, such as SPSS 25.0 and AMOS 24.0. Findings The results indicate that technological factors, content factors, individual factors and psychological factors significantly influence the intention to use public mobile libraries. The impact of system quality and perceived ease of use in technological factors is relatively balanced. Among content factors, information quality is the most significant, while information literacy has a greater influence compared to subjective norms in individual factors. In psychological factors, perceived matching and perceived pleasure both positively influence usage intention, while perceived cost has a negative impact. Research limitations/implications Firstly, this study only investigates users’ intention to use, but intention does not necessarily equate to actual usage behaviour (King and He,2006). Future research can introduce new variables to explore users’ adoption and continuous usage behaviours. Secondly, this study does not differentiate between different types of mobile library users. Future research can consider different user types, such as potential users and current users, to investigate the similarities and differences in their willingness to adopt mobile library services. Thirdly, this study is primarily cross-sectional. Future research can consider longitudinal studies to provide more in-depth insights into user behaviour. Practical implications This paper identifies external and internal stimulus factors and conducts a comprehensive investigation into the factors influencing the intention to use public mobile libraries, thus providing generalizable research findings. Unlike previous studies, this research introduces the information literacy variable, enriching the model of factors affecting users' intention to use mobile libraries and yielding more comprehensive conclusions. Consequently, the study aims to be grounded in the actual usage ideas and intentions of diverse user groups, constructing a model that highlights factors influencing the intention to use public mobile library services. Social implications From a social perspective, this study offers four implications for improving the utilization of public mobile libraries. Firstly, it is crucial to integrate digital resources, enhance information quality in public mobile libraries and improve platform usability. Secondly, adopting a user-oriented approach is essential to improve the service level of public mobile libraries and stimulate residents’ participation. Thirdly, efforts should be made to strengthen user information literacy and increase information utilization. Fourthly, top-level design improvements, effective promotion efforts and user behaviour guidance are essential for the success of public mobile libraries. Originality/value This study contributes to the improvement of public mobile library services and the advancement of modern public cultural services by identifying the key factors that drive the intention to use such services. The findings have practical implications for promoting high-quality development and enhancing the popularity of public mobile libraries.

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“…In formula (1), C m represents the set of fitting real score items, χ represents the number of users, and ρ represents the parameter of loss items. Implicit representation of user preference diversity by low-rank matrix approximation: 2…”

Section: Overall Structure and Information Retrieval Of Mobilementioning

confidence: 99%

“…As a place with strong professional scholarship and comprehensive scientific research, mobile library has provided a huge development space for discipline teaching, cultural exchange, scientific research and application technology in Colleges and universities [ 1 , 2 ]. In order to enable the library to play a greater social role, improve its social value of information services and the quality of information service products, considering how to improve the sociality of services is also an important opportunity for the quality improvement and career development of library staff [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Optimization Method of Resource Recommendation Service of Mobile Library Based on Digital Twin Technology

Shang

Geng

et al. 2022

Computational Intelligence and Neuroscience

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In order to improve the Resource Recommendation and sharing ability of mobile library, an intelligent optimization model of Mobile Library Resource Recommendation Service Based on digital twin technology is proposed. Build the association rule feature distribution set of mobile library resource recommendation service, carry out text information retrieval in the process of Mobile Library Resource Recommendation and sharing, carry out semantic correlation feature registration according to the retrieval preference of mobile library reading user object, establish the association rule data set of mobile library reading user object preference for mobile library Resource Recommendation and sharing, carry out feature block processing, and analyze the library reader preference. Complete the collaborative filtering recommendation of Mobile Library Resource Recommendation sharing. The simulation results show that the collaborative recommendation under the intelligent optimization mode of mobile library resource recommendation service using this method has high accuracy and good confidence level, which improves the intelligent level of Mobile Library Resource Recommendation and user satisfaction.

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