From User Reviews to Theory Building: An Inductive Approach to Construct Identification Using Text Mining

Presented at the 2017 International Conference on Knowledge Management. This poster demonstrates the utility of text analytic for theory building and validation in information science.
Date: October 25, 2017
Creator: Nguyen, Quynh N. & Sidorova, Anna
Object Type: Poster
System: The UNT Digital Library
From user reviews to theory building: an inductive approach to construct identification using text mining (open access)

From user reviews to theory building: an inductive approach to construct identification using text mining

Poster paper for the 2017 International Conference on Knowledge Management. This paper demonstrates the utility of text analytic for theory building and validation in information science.
Date: October 25, 2017
Creator: Nguyen, Quynh & Sidorova, Anna
Object Type: Paper
System: The UNT Digital Library
Information Re-Sharing on Social Network Sites in the Age of Fake News (open access)

Information Re-Sharing on Social Network Sites in the Age of Fake News

This article examines the relationship between the characteristics of social media content and re-sharing behavior.
Date: October 3, 2017
Creator: Koohikamali, Mehrdad & Sidorova, Anna
Object Type: Article
System: The UNT Digital Library
Is Print REALLY Dead? Exploring the Relationship between the Technology Acceptance Model and Use of E-books at a Large Research University (open access)

Is Print REALLY Dead? Exploring the Relationship between the Technology Acceptance Model and Use of E-books at a Large Research University

Poster presented at the 2017 ALA Annual Conference. This poster summarizes the application of the technology acceptance model to the use of e-books at a large research university.
Date: June 24, 2017
Creator: Smith, Susan; Rodriguez, Allyson; Dewitt-Miller, Erin; Xu, Lu & Billings, Emily
Object Type: Article
System: The UNT Digital Library
Towards a Dimensional Model for Community Knowledge (open access)

Towards a Dimensional Model for Community Knowledge

Poster paper for the 2017 International Conference on Knowledge Management. This paper proposes a dimensional model with "aspects of a corpus, such as topic or opinion, as derived star schema dimensions." Focusing on a case study on Twitter the paper demonstrates how the derived dimensions, combined with transactional facts and derived facts can uncover "the collective tacit knowledge in Twitter communities."
Date: October 25, 2017
Creator: Shakeri, Shadi & Evangelopoulos, Nicholas
Object Type: Paper
System: The UNT Digital Library