The Suitability of Web Analytics Key Performance Indicators in the Academic Library Environment

Fagan, Jody Condit

doi:10.1016/j.acalib.2013.06.005

Cited by 61 publications

(38 citation statements)

References 57 publications

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“…Brief descriptions of these types follow, but more in-depth analyses are available in other studies (Clifton, 2012;Fagan, 2014;Jansen, 2006;Nakatani & Chuang, 2011).…”

Section: Overview Of Web Analytics Methodsmentioning

confidence: 99%

Undercounting File Downloads from Institutional Repositories

OBrien

Arlitsch

Sterman

et al. 2016

Journal of Library Administration

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“…Brief descriptions of these types follow, but more in-depth analyses are available in other studies (Clifton, 2012;Fagan, 2014;Jansen, 2006;Nakatani & Chuang, 2011).…”

Section: Overview Of Web Analytics Methodsmentioning

confidence: 99%

Undercounting File Downloads from Institutional Repositories

OBrien

Arlitsch

Sterman

et al. 2016

Journal of Library Administration

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“…Este tipo de bibliotecas almacenan información sobre libros, artículos científicos en revistas y congresos, diarios oficiales, y usuarios registrados (Renda y Straccia, 2005;Smeaton y Callan, 2005;Calhoun, 2002). Los avances tecnológicos asociados con la denominada Web 2.0 (O'Reilly, 2005) han posibilitado la aparición de un gran número de nuevos paradigmas y servicios relacionados con las UDL, en los que el usuario es el actor principal y puede crear, modificar y publicar de forma sencilla nuevos contenidos web en colaboración con otros usuarios a través de nuevas aplicaciones y dispositivos como los blogs, wikis, chats, podcasts, gestores RSS (formato para compartir contenido en la web, abreviado del inglés: Really Simple Syndication), las redes sociales o los nuevos dispositivos móvi-les inteligentes (Fagan, 2014). Ello ha originado la aparición del término Bibliotecas 2.0 (Library 2.0) (Casey y Savastinuk, 2007).…”

Section: Estado Del Arteunclassified

CALIMACO: desarrollo de un servicio de bibliotecario virtual para la interacción multimodal con dispositivos móviles

Griol

Patricio

2016

Rev. esp. doc. cient.

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Resumen: Los dispositivos móviles inteligentes han fomentado en los últimos años nuevos escenarios de interacción que requieren interfaces persona-máquina más sofisticados. Los principales desarrolladores de sistemas operativos para estos dispositivos proporcionan actualmente APIs (Application Programming Interfaces) para que los desarrolladores puedan implementar sus propias aplicaciones, incluyendo diferentes soluciones para el desarrollo de interfaces gráficas, el control de sensores y proveer interacción oral. A pesar de la utilidad de este tipo de recursos, no se han definido aún estrategias para desarrollar interfaces multimodales que aprovechen las posibilidades que ofrecen estos dispositivos para identificar y adaptarse a las necesidades de los usuarios. De este modo, las aplicaciones suelen desarrollarse ad-hoc y la interfaz oral posibilita únicamente la comunicación mediante comandos simples. En este artículo proponemos la aplicación práctica de agentes conversacionales multimodales sensibles al contexto para proporcionar servicios bibliotecarios avanzados que incorporen dinámicamente necesidades específicas del usuario y sus preferencias, así como las características específicas del entorno en el que se produce interacción, con el fin de mejorar y personalizar el servicio que se proporciona mediante un dispositivo móvil con acceso a Internet. Nuestra propuesta integra funcionalidades de APIs de Android en una arquitectura modular que enfatiza la gestión de la interacción y la sensibilidad al contexto para crear aplicaciones robustas, de fácil actualización y adaptadas al usuario.Palabras clave: Sistemas de Diálogo; interacción multimodal; reconocimiento y síntesis de voz; asistente; servicios bibliotecarios avanzados; dispositivos móviles; Android. CALIMACO: Application of multimodal dialog systems and mobile devices to provide enhanced library servicesAbstract: In recent years smart mobile devices have bolstered new interaction scenarios that require more sophisticated human-machine interfaces. The leading developers of operating systems for these devices now provide APIs (Application Programming Interface) for developers to implement their own applications, including different solutions for developing graphical interfaces, control sensors and providing oral interaction. Despite the usefulness of these resources, defined strategies are still needed for developing multimodal interfaces to take greater advantage of these devices for identifying and meeting the needs of users. Currently, these applications are typically ad-hoc and facilitate oral communication only through simple commands. In this paper we propose the practical application of context-sensitive multimodal conversational agents to provide advanced library services that dynamically consider specific user needs and preferences, as well as the specific characteristics of the environment in which the interaction occurs. Such agents would improve and customize the service provided by a mobile device with Internet access. Our proposal integrate...

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“…Yang and Perrin write, "Measuring the performance of a library Web site, therefore, becomes a key factor in determining the relative success or failure of library service" (Yang and Perrin 2014, 405). Fagan (2014) (Loftus 2012, 47). Since most key performance indicators in Google Analytics are geared toward commerce, it's important to establish separate indicators to evaluate how users acquire information that meets their needs and tasks.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Existing research regarding key performance indicators in Google Analytics are not analyzed through the lens of user experience, nor is there research on how the use of Google Analytics impacts access to library resources. Instead, the primary articles on using key performance indicators in Google Analytics are oriented towards e-commerce sites to track transaction time and clicks to purchases to serve commercial entities (Fagan 2014). …”

Section: Literature Reviewmentioning

confidence: 99%

Tracking User Behavior with Google Analytics Events on an Academic Library Web Site

Vecchione

Brown

Allen

et al. 2016

Journal of Web Librarianship

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This is an author-produced, peer-reviewed version of this article. The final, definitive version of this document can be found online at AbstractThe primary purpose of an academic library website is to serve as a portal to library-acquired content. Navigational design of a library website affects the user's ability to find and access content. At Albertsons Library, the goal of the navigational design of the website is to mimic user behavior on the website to help them access information and articles from over 300 different library vendors. Coordinating with different vendors makes tracking the navigational flow of user behavior difficult with the tool Google Analytics. Using the events feature in Google Analytics, the team responsible for web design was able to track user flow, and was able to quantify how many users were actual "drop-offs" versus those that were clicks into library resources. Decisions made after acquiring this data resulted in a website with a 10 percent or less bounce rate, and decreased the number of clicks required for users accessing the library's content.

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The Suitability of Web Analytics Key Performance Indicators in the Academic Library Environment

Cited by 61 publications

References 57 publications

Undercounting File Downloads from Institutional Repositories

Undercounting File Downloads from Institutional Repositories

CALIMACO: desarrollo de un servicio de bibliotecario virtual para la interacción multimodal con dispositivos móviles

Tracking User Behavior with Google Analytics Events on an Academic Library Web Site

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