Article discussing an illustration of causal latent semantic analysis (cLSA).

This article examines the relationship between the characteristics of social media content and re-sharing behavior.

Article presents a sample of dynamic interactive visualizations of relatively complex quantitative topics in statistics, operations management, and management science and discuss their implications for pedagogy for undergraduate and graduate students.

Article presents an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention.

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."

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.

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.

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.

This article investigates the relationship between aspects of the Malcolm Baldrige National Quality Award's leadership triad and knowledge management in an e-government context.

Article discussing latent semantic analysis and five methodological recommendations.

This article's research builds a continuance usage and location disclosure model from the expectation-confirmation perspective. The effect of benefit expectations on usefulness and satisfaction is hypothesized. In addition, the positive effect of usefulness on satisfaction and continuance intention is postulated. Findings contribute to the current literature in business intelligence by focusing on location disclosure behavior in the context of LBAs and the necessity of this type of information for location intelligence. This article was presented at the 52nd Hawaii International Conference on System Sciences.

This article builds on agency theory and identify factors that increase the risk of an agency problem between a principal (a human or an organization) and an AI agent and propose a framework for AI agency problem analysis. The framework is illustrated through AI use cases and industry examples. Implications for AI governance research and practice are discussed. It was presented at the 52nd Hawaii International Conference on System Sciences.

Poster presented as part of the 2012 University Forum on Teaching & Learning at UNT. This poster discusses creating a collaborative online project for an MBA core course. Traditional face-to-face classes offer the rich interactive experience gained through collaborative group projects.

This article investigates the six cognitive biases resulting from the use of the representativeness heuristic, namely, insensitivity to prior probability of outcomes, insensitivity to sample size, misconception of chance, insensitivity to predictability, the illusion of validity, and misconception of regression. Specifically, the authors examine how cognitive reflection and training affect these six cognitive biases in the operations management context.

Presentation for the 2010 University Scholars Day at the University of North Texas discussing research on the development, application, and further growth of real options analysis.

This paper discusses research into the development, application, and further growth of real options analysis.

Poster presented at the 2013 University Forum on Teaching & Learning at UNT. This poster discusses an analysis of how business students engage in learning in an introductory data analysis course.