Libraries at University of Nebraska-Lincoln

 

Date of this Version

5-2021

Comments

The author has extracted this article from his PhD dissertation available at the Edith Cowan University website.

Abstract

Power and non-power use, involving user discrimination on the basis of expertise, is an idea from end-user computing with potential applicability as an interpretive tool for analyzing e-book user behavior. Can academic e-book power users be reliably identified in system-generated log data? A case study set of three-year e-book user transaction log data generated by the Ebook Library (EBL) platform was made available by the Edith Cowan University Library (Perth, Australia) to assist with the study. Deep Log Analysis (DLA) was used to explore the data. With statistical methods, further investigation yielded insight into whether an equation for identifying academic e-book power users within transaction log data could work at an appropriate confidence level. Identifying and isolating academic power e-book users in transaction logs for study presents some methodological challenges, for DLA targets large datasets requiring new skills and a commitment to learning new methods. This study has met this challenge by modelling academic e-book power users in transaction logs.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.