A Study on User Satisfaction and Importance of OPAC2.0 Services in University Libraries: Focusing on Book Search Result of A and B University Libraries

In many countries, university libraries are required to demonstrate quantitatively their value to their institutions. Consequently, many universities spend a large part of their institutional budgets on acquiring new library books, paying for high online journal subscription fees, and recruiting library staff. However, few studies have been conducted to evaluate the contribution of the university libraries to the students' success. Thus, this study, which applied a quantitative survey methodology to quantify the contribution of a Namibian university library to student academic performance, was conducted. The study determined the contribution of the university library services to students' academic performance. Additionally, the study established a relationship between students' library service satisfaction and academic performance. Analysis of library user satisfaction, student age, and gender were also examined.

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A Framework for Measuring Relevancy in Discovery Environments

Information Technology and Libraries ◽

10.6017/ital.v40i2.12835 ◽

2021 ◽

Vol 40 (2) ◽

Author(s):

Blake Lee Galbreath ◽

Alex Merrill ◽

Corey Johnson

Keyword(s):

User Satisfaction ◽

Task Analysis ◽

Washington State ◽

Machine Process ◽

Research Papers ◽

Search Result ◽

Future Work ◽

The Impact ◽

Or Task ◽

And Task

Discovery environments are ubiquitous in academic libraries but studying their effectiveness and use in an academic environment has mostly centered around user satisfaction, experience, and task analysis. This study aims to create a quantitative, reproducible framework to test the relevancy of results and the overall success of Washington State University’s discovery environment (Primo by Ex Libris). Within this framework, the authors use bibliographic citations from student research papers submitted as part of a required university class as the proxy for relevancy. In the context of this study, the researchers created a testing model that includes: (1) a process to produce machine-generated keywords from a corpus of research papers to compare against a set of human-created keywords, (2) a machine process to query a discovery environment to produce search result lists to compare against citation lists, and (3) four metrics to measure the comparative success of different search strategies and the relevancy of the results. This framework is used to move beyond a sentiment or task-based analysis to measure if materials cited in student papers appear in the results list of a production discovery environment. While this initial test of the framework produced fewer matches between researcher-generated search results and student bibliography sources than expected, the authors note that faceted searches represent a greater success rate when compared to open-ended searches. Future work will include comparative (A/B) testing of commonly deployed discovery layer configurations and limiters to measure the impact of local decisions on discovery layer efficacy as well as noting where in the results list a citation match occurs.

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A model for open access institutional repositories usage for university libraries in Ghana

Information Development ◽

10.1177/0266666920937343 ◽

2020 ◽

pp. 026666692093734

Author(s):

Kwame Kodua Ntim ◽

Madeleine Fombad

Keyword(s):

Open Access ◽

Technology Acceptance ◽

User Satisfaction ◽

Random Sampling ◽

Quantitative Methods ◽

Multinomial Logistic Regression ◽

The Body ◽

University Libraries ◽

Institutional Repositories ◽

Sampling Procedures

The aim of this article was to develop a model for the usage of Open Access Institutional Repositories (OAIR) in university libraries in Ghana. The article adopted the Technology Acceptance Model (TAM), which was then modified to fit the study. The variables were adapted to improve the fit between data and the theoretical model, keeping the characteristics of TAM. Accessibility, availability and visibility were proposed in addition to the conventional variables of TAM. Positivist paradigm, quantitative methods research and survey design were used for the study. Simple random sampling and stratified random sampling were the sampling procedures and methods employed. A total of 998 respondents completed the questionnaires distributed. The questionnaire was used as a research instrument to gather relevant data for the study. Descriptive statistics (frequencies, percentages, means and standard deviation) and inferential statistics (multinomial logistic regression and Confirmatory Factor Analysis [CFA], using structural equation modelling [SEM]) were used as statistical tools to analyse the data. The study developed an OAIR Usage Model, which would be instrumental in the usage of OAIR in university libraries in Ghana. The model will enhance both user satisfaction and intention to reuse the OAIR, and make OAIR research outputs available, accessible and visible. This article adds to the body of literature on OAIR, as it is used in university libraries.

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