PhD Research Summary
Websites, web services and social networks are essential digital marketing tools for promoting services provided by Information Organizations to their targeted audiences. The existence of websites, web services and social network platforms is linked to the production of vast amount of datasets related to the ways internet users interact with them. These datasets (Web Analytics) can be exploited by Information Organizations in order to improve the visibility and the usability of their websites, web services and social networks.
Studying the related publications of the scientific community, it has been noted that the exploitation of Web Analytics by Information Organizations remains limited. This doctoral dissertation at its initial stage, aims to cover and understand the research gap related to the impact that Web Analytics could have on the visibility and usability of Information Organizations websites, web services and social network platforms. The process of mining, collection and analysis of Web Analytics data from web sites, web services and social networks of Information Organizations will follow.
Finally, predictive modeling and computational simulation methods will be exploited in order to accurately predict the smooth transition to an enhanced environment of web sites, web services and social networks with greater visibility and accessibility. This prospect, will have a positive impact on the Information Organizations, both in terms of further promoting the services they offer, as well as on increasing the number of physical and online visitors, a fact that will strengthen their position in the area of knowledge and education dissemination to their users.
Research Interests
- Search Engine Optimisation
- Web Mining
- Web Analytics
- Predictive Modeling
Information Management Research Lab
Founded in 2018 the Information Management Research Lab (IML) (Εργαστήριο Διαχείρισης της Πληφορορίας), constitutes the most vital research part of the Department of Archival, Library and Information Studies. The scientific and operational field of the IML is related to the Information Science, the strategies and the methods for the efficient management and utilization of data and information, independently the substrate on which they are maintained and organized. At the same time, the lab forges, develops and sustains methods and practices in relation to management of cultural information which derives from Archives, Libraries and Museums, while not excluding business data and information for greater decision making within organizations. Fostering and cultivating the openness, the IML aims to host scientific, business and societal actions that are capable to increase the knowledge among the interest parties in related topics such as data management, databases and metadata structures and organization, information retrieval, search engines, scientometrics and scholarly communication, digitization, documentation and preservation both for physical and digital subsistence.