Content area

Abstract

Today, web sites are important communication channels that reach a wide group of people. Measuring the effectiveness of these web-sites has become a key issue for researchers as well as practitioners. However, there is no consensus on how to define web site effectiveness and which dimensions need to be used for the evaluation of these web sites. This problem is more noteworthy for information driven web sites like academic web sites. There is limited academic literature in this predominant application area. The existing studies measured the effectiveness of these academic web sites by taking into account their information architecture mostly using think-aloud methodology. However, there is limited study on web analytics tools which are capable of providing valuable information regarding the web site users such as their navigation behaviours and browser details. Although web analytics tools provide detailed and valuable information, the existing studies have utilized their very basic features.

In this thesis, we have explored web analytic tools and think-aloud study method to improve information architecture of web sites. Taking METU Informatics Institute web site as a case study, we have used the reports of Google Analytics which is a commercial web analytics tool owned by Google and think-aloud study results to improve the information architecture of our case study web-site.

Details

1010268
Title
Using Google Analytics and Think-Aloud Study for Improving the Information Architecture of METU Informatics Institute Website: A Case Study
Alternate title
Odtü Enformatik Enstitüsü Web Sayfasının Bilgi Mimarisini Iyileştirmek Için Google Analitik ve Sesli Düşün Yönteminin Kullanılması: Örnek Olay Çalışması
Number of pages
194
Publication year
2010
Degree date
2010
School code
2013
Source
MAI 86/4(E), Masters Abstracts International
ISBN
9798342522373
University/institution
Middle East Technical University (Turkey)
Department
Department of Information Systems
University location
Turkey
Degree
M.S.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
31663903
ProQuest document ID
3122715695
Document URL
https://www.proquest.com/dissertations-theses/using-google-analytics-think-aloud-study/docview/3122715695/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic