Enriching user‐oriented class associations for library classification schemes

Pu, Hsiao Tieh; Yang, Chyan

doi:10.1108/02640470310470507

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…To address this issue, this work introduces a framework that facilitates analyzing and improving e-government web sites from a learner perspective. New insights can usually be obtained when a user-oriented classification scheme is added (Pu and Yang, 2003;Yang et al, 2006). Rosenberg (2001) defined learning as the way that "people acquire new skills or knowledge for the purpose of improving their performance".…”

Section: Introductionmentioning

confidence: 99%

E‐government web site enhancement opportunities: a learning perspective

Huang¹,

Shyu

2008

The Electronic Library

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Purpose-This study seeks to develop a framework of analysis that categorizes features of e-government web site design in a matrix of knowledge-acquiring process versus learners' values. The proposed framework supports a development plan for a cyber governmental web site that may involve all aspects of a learning process. Design/methodology/approach-A framework for analysis is first proposed. Data were obtained from 137 part-time students during a class. Participants were requested to enter the Bureau of Foreign Trade (BOFT) web site to learn a subject of their choice in a computer lab. The instruments used for obtaining their opinions were open-ended questionnaires. Two focus group interviews were also conducted. An iterative analyzing strategy based on grounded theory was employed to obtain the results. Findings-Analytical results of the data based on the framework reveals many insights. Participants indicated that navigational aids, knowledge contents and other designs related to interactive knowledge sharing are important. Nevertheless, e-government webmasters often ignore these important features. The proposed framework is a valuable tool for web site development and maintenance. Originality/value-Although many theories about the usability of e-government web sites have been proposed, the needs of individual learners have seldom been addressed. Since learning is critical to economic prosperity and social cohesion, the factors that make an e-government web site supportive for learners should be explored. This study is, to our knowledge, the first to examine an e-government web site from a learner perspective. Furthermore, this investigation presents a framework that facilitates analyzing and improving e-government web sites.

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Section: Introductionmentioning

confidence: 99%

E‐government web site enhancement opportunities: a learning perspective

Huang¹,

Shyu

2008

The Electronic Library

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“…Regarding association rules, Pu & Yang (2003) provide new basis for information organization and retrieval applications. Authors utilize circulation patterns of similar users to discover association classes scattered across different subject hierarchies.…”

Section: Distribution Of Articles By the Library Holistic Quadrants Amentioning

confidence: 99%

Literature Review of Data Mining Applications in Academic Libraries

Siguenza-Guzmán

Saquicela

Avila-Ordóñez

et al. 2015

The Journal of Academic Librarianship

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“…User-oriented class associations extracted from the log of book circulation records were studied by Pu and Yang (2003). The class associations represented additional categories to traditional hierarchical library classification schemes.…”

Section: Library Usage Mining – Literature Reviewmentioning

confidence: 99%

Library usage mining in the context of alternative costs

Hájek

Stejskal

2017

LHT

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Purpose The behaviour of a library user is based on his ability to evaluate the consumption of library services based on alternative market services. The purpose of this paper is to study the usage behaviour in a public library building in the context of alternative costs instead of a narrow focus on book circulation data. Design/methodology/approach By library usage mining, using associative rules, the authors described the behaviour of library users and identified the typical behaviour during the visits. The authors analyse the results in the context of alternative costs assigned to the visits. Findings The results confirm that some underused services, such as digital services, deliver significantly greater benefit. The frequency of use, the duration of visit and the number of items used are associated with higher alternative costs. There were no significant differences in alternative cost within economic groups (excluding pensioners). This paper identified 41 frequent patterns with different alternative costs. Research limitations/implications The limitation of this study is the fact that data for library usage mining were collected using a questionnaire survey. Practical implications This may be particularly important for both policy makers and library management. The first beneficiaries are donors and patrons, who can learn about the benefit that libraries bring to society. The proposed system for library usage mining also enables managers to promote specific (effective) services, take steps to avoid readers leaving, and improve the adoption of library services. It can also be used to adapt the location of library services. Librarians, especially those who engage in acquisitions, may also use this information in their evidence-based decisions about the design of services. Originality/value So far, there has been no relevant research on the economic aspects of extracted behaviour patterns. Therefore, this study revealed users’ economic preferences using a questionnaire survey that supplemented transaction data. The ability to describe users’ behaviour can provide library management with enough information to realise evidence-based decision making.

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Enriching user‐oriented class associations for library classification schemes

Cited by 9 publications

References 11 publications

E‐government web site enhancement opportunities: a learning perspective

E‐government web site enhancement opportunities: a learning perspective

Literature Review of Data Mining Applications in Academic Libraries

Library usage mining in the context of alternative costs

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