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Title The use of web analytics on an academic library website
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Date Accessioned
University/Publisher University of Missouri – Columbia
Abstract Academic libraries need to evaluate their electronic services in order to ensure their users' satisfaction. Libraries have been using evidence based evaluation traditionally. These practices have their imitations as they are time consuming and rely on outdated literature. Human Information Behavior studies offer a rich literature of users' behavior that could provide evidence of usage; nevertheless HIB studies are centered on smaller sample and hence lack generalization. Web analytics can address the gap in library service evaluation and HIB studies by providing quick access to aggregate information on real users' data collected unobtrusively. This study was conducted in an academic library setting. Two topics on the use of analytics for library decision-making and generalizing in HIB studies were addressed. The Library's web usability group was interviewed and their Google Analytics data were reviewed. Qualitative analyses were conducted on data obtained from the interview and Google analytics. There were concrete findings on the use of web analytics for Library decision-making that indicated its utility for enhancing the Library's online services and for improving navigation. However, there were noteworthy factors that could affect decision-making indirectly - the respondents' curiosity of users' behavior, the Library management practices, could influence decision-making in the Library along the way. Visitor trending data in Google Analytics further provided important aspects of the online users' behavior. Graphs indicated irregular patterns in users' behavior over a period of a semester. Further instances illustrated the differences in users behavior were based on their choice of sources. Visitors' technology preferences indicated factors that could influence users' information seeking. Finally, analytics can provide information on the Library's primary resources used.
Subjects/Keywords Google Analytics; Web usage mining; Human-computer interaction; Libraries  – User satisfaction; Academic libraries  – Computer network resources; Internet users  – Statistics  – Data processing; Library users  – Statistics  – Dataprocessing
Contributors Erdelez, Sanda, 1960- (advisor)
Language en
Rights OpenAccess.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. [Always confirm rights and permissions with the source record.]
Country of Publication us
Record ID handle:10355/9860
Repository missouri
Date Retrieved
Date Indexed 2020-09-17
Issued Date 2009-01-01 00:00:00
Note [] The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.; [] Title from PDF of title page (University of Missouri – Columbia, viewed on January 27, 2011).; [] Thesis advisor: Dr. Sanda Erdelez.; [] Vita.; [] Ph. D. University of Missouri – Columbia 2009.; [bibref] Includes bibliographical references;

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…improve navigation ................................ 57 4.3 The Library‘s Interest in User Behavior .............................................................. 59 4.3.1 Branch usage of Library resources…

…63 4.4.1 Privacy of users‘ data ................................................................................. 64 4.4.2 Reservations about the appropriateness of analytics .................................. 64 4.4.3 Issues with measuring usage

…128 5.3 The Library‘s Interest in User Behavior ............................................................ 130 5.3.1 Users‘ activities on the branch Library website ....................................... 130 5.3.2 Relative usage behavior patterns…

…of analytics for academic libraries .................................................................................................................. 136 5.4.3 Issues with measuring usage in the Library setting .................................. 137…

…perspectives when evaluating library services and constantly developing and improving services for better access to their resources. This study focuses on the use of web analytics that captures and presents data concerning the online usage of the website for…

…the websites. They also recommend outcome assessment for library websites. Libraries serve diverse groups of users who bring with them different experiences, knowledge and expectations. Library decision-making needs to be based on a review of the usage

statistics of the library website to identify areas of concern or area that need improvement. Evidence Based Librarianship (EBL) for decision-making in libraries has efficacy (Lakos, 2007; Eldredge, 2006). Eldredge (2006) calls…

…tool for ―monitoring and reporting of website usage so that enterprises can better understand the complex interactions between web site visitor actions and web site offers … [and] leverage insight to optimize the site for increased customer…

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