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.

Study focuses on the viability of regional airports in France through technical efficiency using data envelopment, principle component analysis, Malmquist productivity index, and regression analysis using bootstrapping.

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 analyses the relationship between interest fit and career/income outlooks for college students as opposed to the relationship between such outcomes and the nature of the domain.

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.