Interlibrary Loan Patron Satisfaction at the Wichita State University Libraries

Naylor, Ted; Wolfe, Judith A.

doi:10.1080/10723030802186371

Cited by 7 publications

(4 citation statements)

References 13 publications

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“…The results of this research revealed that the implications of big data analytics are essential factors in the performance of academic libraries in innovation of library resources, services and infrastructure. The research results are consistent on the basis of published literature to know the quality of the system, quality of the information and service factors measured as libraries’ performance factors [63,64,65]. In this context, the results of the MTAM model support the hypotheses ( H1a, H1b and H1c ) to gain the benefit of accessing big data analytics to improve the performance of academic libraries in Pakistan.…”

Section: Discussionsupporting

confidence: 82%

Performance-based evaluation of academic libraries in the big data era

Islam

Ahmad

Rafi

et al. 2020

Journal of Information Science

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The concept of big data has been extensively considered as a technological modernisation in organisations and educational institutes. Thus, the purpose of this study is to determine whether the modified technology acceptance model (MTAM) is viable for evaluating the performance of librarians in the use of big data analytics in academic libraries. This study used an empirical research method for collecting data from 211 librarians working in Pakistan’s universities. On the basis of the findings of the MTAM analysis by structural equation modelling, the performances of the academic libraries were comprehended through the process of big data. The main influential components of the performance analysis in this study were the big data analytics capabilities, perceived ease of access and the usefulness of big data practices in academic libraries. Subsequently, the utilisation of big data was significantly affected by skills, perceived ease of access and the usefulness of academic libraries. The results also suggested that the various components of the academic libraries lead to effective organisational performance when linked to big data analytics.

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Section: Discussionsupporting

confidence: 82%

Performance-based evaluation of academic libraries in the big data era

Islam

Ahmad

Rafi

et al. 2020

Journal of Information Science

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“…The ILL service locates needed materials by borrowing books or obtaining photocopied materials on behalf of UiTM library patron from other libraries or institutions inside or outside the country. Naylor and Wolfe (2008) found that library users were very satisfied when internet based ILL with web interface was introduced by Wichita State University library. Smith (2001) suggested that digital references services should embrace technologies such as chat and videoconferencing.…”

Section: Discussionmentioning

confidence: 99%

Assessing users satisfaction with web digital library: the case of Universiti Teknologi MARA

Masrek

Gaskin

2016

The International Journal of Information and Learning Technology

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Purpose – The purpose of this paper is to examine the determinants of user satisfaction in the context of academic web digital library (DL). A model based on the re-specified information system success model was developed and tested using the structural equation modeling (SEM) technique. Design/methodology/approach – The study employed survey research methodology with self-administered questionnaire as the research instrument. The questionnaire was developed based on the instruments used by previous researchers. The population of the study was students enrolled for the bachelor’s degree in the Faculty of Information Management, Universiti Teknologi MARA, Malaysia. These students were chosen because of researcher’s easy access to the sampling frame. Descriptive analysis and inferential analysis which include SEM were executed using IBM SPSS and AMOS statistical software. Findings – The findings indicate that information quality, systems quality, service quality, perceived usefulness, perceived ease of use and cognitive absorption are significant predictor of users’ satisfaction with the web DL. Research limitations/implications – Instead of collecting data from students from various faculties, this study only covered students enrolled in one faculty. In the same light, as the respondents were from one faculty, they only report their experience of using one DL. Given these limitations, the results obtained are narrowed in terms of generalizability. The second limitation of the study is related to the predictor variables which only focussed on six variables only. Practical implications – From the practical viewpoint, the instrument that has been developed can be used as a diagnostic tool for continuous improvements of the DL. Originality/value – From the theoretical viewpoint, the study has developed an empirical based framework that depicts critical factors influencing DL satisfaction. Researchers specializing on the assessment of DL effectiveness can consider adopting the framework for future studies. Alternatively, the framework can be further extended by integrating other variables such as users’ characteristics or organizational characteristics.

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“…Similarly, a study of patron satisfaction at Wichita State University Libraries (Naylor & Wolfe, 2008) indicated that the majority of respondents were satisfied with ILLiad, including overall approval with desktop delivery of PDF articles through ILLiad. Appendix B of the Wichita State study includes comments from Naylor and Wolfe's survey respondents, some of which indicate the need for some usability attention, such as "The user interface for ILLIAD is a little cumbersome" and "Maybe make the interface a little more user friendly" (2008, p. 371).…”

Section: Resultsmentioning

confidence: 95%