Why do some people regularly use libraries while others rarely engage with their services? The question extends beyond reading preferences. Libraries provide physical study environments, access to scholarly information, digital resources, and professional assistance. Understanding library patronage and associated factors therefore requires examining how individual circumstances interact with institutional services and community conditions.
Here, library patronage refers to the use of library facilities, collections, and services, including remote access. It should not be reduced to membership or book borrowing alone: a registered member may remain inactive, while a frequent visitor may primarily use study spaces.
Recent research published in 2025 and 2026 offers evidence from university libraries, public libraries, and digital self-service systems. However, these settings serve different populations. Their findings require contextual interpretation, particularly when researchers measure associations rather than experimentally demonstrate causal effects.
Defining Library Patronage and Measuring Engagement
Physical Attendance and Digital Use Are Different Outcomes
A rigorous investigation of library patronage and associated factors begins with a clear definition of the outcome. Building visits, borrowing transactions, database consultations, reference appointments, and participation in workshops represent different forms of engagement. Combining them into one measure can obscure why people use a library.
For example, someone entering a university library may be seeking a quiet environment rather than printed literature. Another student may consult subscription databases from home without visiting the building. Neither activity alone provides a complete account of the library’s contribution.
Researchers should therefore distinguish participation from intensity. Whether a person uses a service is one question; how frequently, for how long, and for what purpose they use it are additional questions. Membership records, entry counts, and online questionnaires can each contribute evidence, but none should automatically be treated as an interchangeable measure of patronage.
Financial Access and Membership Policies
A 2026 study by Olivia Guillon and Delphine David examined the Library at the Cité des sciences et de l’industrie in Paris. Its borrowing Pass became free for everyone in 2023. Using membership and borrowing data from 2022–2024, the researchers identified changes in member composition and borrowing behaviour associated with this policy transition. Their interpretation considered substitution, compliance, and simplification effects. Olivia Guillon, Delphine David, 2026
This case demonstrates why financial access deserves attention when studying library patronage and associated factors. Nevertheless, it does not establish a universal increase in usage following free membership. Results from one institution cannot determine what every library should expect.
An evaluation should also distinguish the removal of a membership charge from broader changes occurring during the same period. Opening hours, collections, communication campaigns, and local circumstances may affect observed behaviour. Measuring new registrations alone would leave unanswered whether members subsequently borrowed materials or maintained their engagement.
Individual Circumstances and Community Conditions
Home Study Environments and Campus Involvement
Nancy Da Silva’s 2025 study surveyed 255 undergraduate business students at a large public university. Students involved in a student club, or without a quiet place to study at home, were more likely to visit the library. Conversely, those with a quiet home study environment were more likely to use online library resources. scholarworks.sjsu.edu
The findings indicate that physical and digital engagement can respond differently to the same personal circumstance. A suitable home environment may reduce the need for a library building while supporting remote resource use.
They also suggest that library attendance should be interpreted within students’ wider campus lives. However, the association with club participation does not demonstrate that joining a club causes more library visits. Both activities could reflect other characteristics of student engagement.
Because the sample concerned business undergraduates at one university, the results should not automatically be extended to postgraduate researchers, commuters, or public-library users. Replication across disciplines and institutions would clarify their wider applicability.
Demographic and Socioeconomic Context
A 2025 study by Jongwook Lee and colleagues investigated community characteristics and public-library use using data from South Korea’s National Library Statistics System. The researchers distinguished materials and facilities use from services involving human resources.
Their structural equation model identified associations between materials and facilities use and population size, population ageing, the proportion of college graduates, and financial independence. Staff-based service use was associated with population size, unemployment, the share of temporary or daily workers, and illness rates. journal.kci.go.kr
These findings support examining different service categories separately. The community characteristics associated with borrowing or facility use may differ from those associated with professional assistance.
An additional methodological distinction is essential: community-level relationships do not establish individual behaviour. An association involving an area’s unemployment rate does not mean that every unemployed resident uses libraries in the same way. Research on library patronage and associated factors should avoid this ecological inference.
Digital Usability, Awareness, and Practical Accessibility
Continued Use of Library Self-Service Systems
A 2026 study by Kai Cao and colleagues investigated university library self-service systems among 365 faculty members and students at three universities in Qinghai, China. Combining the Technology Acceptance Model with the Unified Theory of Acceptance and Use of Technology, the researchers analysed system characteristics, technological readiness, accessibility, perceived ease of use, and perceived usefulness.
These variables were associated with continued-use intention. The authors also acknowledged that their cross-sectional design limited causal interpretation and that restricted alternatives could influence apparent willingness to continue using the systems. PLOS One
This distinction matters: intention to continue using a service is not equivalent to independently observed long-term engagement. Continued use may also reflect necessity rather than preference.
A practical inference is that evaluations should examine both interface performance and users’ freedom to choose alternatives. Testing whether patrons can locate resources and complete transactions would complement questionnaires about perceived usefulness.
Awareness and Opening Hours Among Non-Users
Research commissioned by England’s Department for Culture, Media and Sport and published in 2025 combined an online survey of 4,243 library non-users with input from library staff and stakeholders. It found that 58% of non-users were unfamiliar with services beyond physical books, while only 16% were familiar with online services. Inconvenient opening hours also emerged as an important accessibility barrier. GOV.UK
This government research complements peer-reviewed studies by including people who do not currently use libraries. Surveys conducted only inside library buildings would miss their perspectives.
The results suggest two distinct questions for service planning: do potential users understand what is available, and can they access it when needed? Better communication may address limited awareness, while scheduling changes address a different constraint. Neither intervention should be assumed effective without measuring subsequent participation.
Stated interest in a service also requires cautious interpretation. Reporting that longer opening hours would be appealing does not establish that a respondent will become a regular visitor.
Academic Outcomes and the Limits of Current Evidence
Library Visits and Student Performance
Bloom and colleagues’ 2025 study examined library entry records and academic performance at a private university in the United States. The researchers linked anonymised card-swipe data from autumn 2023 and spring 2024 with semester grade point averages, producing a dataset of 3,340 student records. They reported a significant positive correlation between library visits and GPA. digitalshowcase.oru.edu
Although this association is relevant to discussions of student support, it does not establish that increasing visits will independently improve grades. Study motivation, prior achievement, course requirements, and other circumstances could influence both variables.
Entry data also cannot reveal what students did after entering the building. A visit might involve independent study, group work, resource consultation, or another activity. Understanding mechanisms requires more detailed evidence.
Research on library patronage and associated factors should therefore separate three questions: who uses the library, which services they use, and whether those services contribute to subsequent outcomes.
Research Designs That Could Strengthen Understanding
The studies discussed here do not establish a universally valid ranking of the factors associated with patronage. Their populations, service environments, and outcome measures differ. A factor relevant to undergraduate attendance may have limited explanatory value for public-library borrowing or remote database access.
Future research could strengthen interpretation through longitudinal designs that track changes within individuals. Where feasible, evaluations could compare libraries introducing a service change with similar institutions maintaining existing arrangements. Such comparisons would still require attention to differences between institutions and concurrent developments.
Mixed-methods designs could combine usage records with interviews, surveys, and usability testing. Administrative records describe activity, while qualitative evidence can help explain motivations and difficulties.
Including non-users is particularly important for avoiding an incomplete picture of demand. Researchers should also report sampling limitations, distinguish intention from behaviour, and protect confidentiality when linking library records with personal or educational information. These practices would make findings more useful for both scientific assessment and service planning.
Conclusion
Library patronage and associated factors encompass financial access, home study conditions, community characteristics, digital usability, service awareness, and practical accessibility. Recent studies demonstrate why physical attendance, borrowing, staff assistance, and online engagement deserve separate analysis.
The available evidence supports a contextual approach rather than a single explanation for library use. Associations with student performance or continued-use intention are informative, but they do not automatically establish causal benefits or lasting engagement.
For scientists and students exploring this field, the most productive questions concern how particular populations use particular services under specific conditions. Search FreeFullPDF using the keyword “library patronage and associated factors”, alongside terms such as library non-use, academic library engagement, and library technology acceptance, to locate further scientific literature.
Scientific references
Da Silva, N. (2025). In-Person and Online Library Usage: An Examination of Factors That Hinder and Promote Library Usage Among College Students. Journal of Library Administration, 65(2), 199–213. DOI.
Guillon, O., & David, D. (2026). Effects of free membership on borrowing behavior in public libraries: An economic perspective through the case of the Library at the Cité des sciences et de l’industrie in Paris. Journal of Librarianship and Information Science. DOI.
Lee, J., Park, M. S., Na, S., Kang, W., & Park, J. (2025). A Study on the Relationship Between Community Characteristics and Public Library Use. Journal of the Korean Society for Library and Information Science, 59(3), 157–180. DOI.
Cao, K., Wang, P., Zhang, C., & Zhao, J. (2026). Multidimensional factors influencing continuance usage intention of university library self-service systems: An empirical analysis based on an extended TAM-UTAUT. PLOS One, 21(3), e0346014. DOI.
Department for Culture, Media and Sport (2025). What works to engage library non-users. Primary government research report. Read the report.
Bloom, M., Eller, D., Hall, M., Lang, A., & Sample, A. (2025). The impact of library visits on undergraduate student GPA: The vital role of the library as a contributor to student success. The Journal of Academic Librarianship, 51(3), 103040. DOI.
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