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Creating a Collaborative Online Project for an MBA Core course
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.
Causal Latent Semantic Analysis (cLSA): An Illustration
Article discussing an illustration of causal latent semantic analysis (cLSA).
Latent Semantic Analysis: Five methodological recommendations
Article discussing latent semantic analysis and five methodological recommendations.
Leadership and Knowledge Management in an E-Government Environment
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.
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.
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.
Cognitive biases resulting from the representativeness heuristic in operations management: an experimental investigation
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.
Dynamic Interactive Visualizations: Implications of Seeing, Doing, and Playing for Quantitative Analysis Pedagogy
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.
Confirmatory Influence of Trust in E-commerce: A Data Collection Bias and Suggestion
Article explores the importance of investigating the impact of trust on intention to purchase from both successful and unsuccessful purchase cases in order to provide a more balanced view of the critical role of trust in e-commerce transaction decisions.
An Investigation of Predictors of Information Diffusion in Social Media: Evidence from Sentiment Mining of Twitter Messages
Article is a study examining how emotional arousal influences information diffusion in social media using a sentiment mining approach. The authors propose a research model and test it using data collected from Twitter.
Introduction to the Minitrack on Artificial Intelligence and Big Data Analytics Management, Governance, and Compliance
This article is an introduction to the Minitrack on Artificial Intelligence and Big Data Analytics Management, Governance, and Compliance at the 53rd Hawaii International Conference on System Sciences.
Vice or Virtue? Exploring the Dichotomy of an Offensive Security Engineer and Government “Hack Back” Policies
This article uses the virtue (ethics) theory and cyber attribution to argue that there exists a dichotomy among offensive security engineers, one that appreciates organizational security practices, but at the same time violates ethics in how to retaliate against a malicious attacker.
Continued Usage and Location Disclosure of Location-Based Applications: A Necessity for Location Intelligence
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.
AI Agency Risks and Their Mitigation Through Business Process Management: A Conceptual Framework
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.
Trust in Google - A Textual Analysis of News Articles About Cyberbullying
Article presents a textual analysis of news articles about cyberbullying to provide input for prevention and training efforts to combat the issue.
An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control
Article asserts that spare parts inventory management is complex due to the combined impact of intermittent and variable demand patterns. This study proposes a novel nonparametric Bayesian forecasting approach with its roots in the empirical Bayes paradigm.
Role of Electronic Healthcare Record Adoption in Enhancing the Relationship between Quality Measures and Hospital Financial Performance
Article asserts that the most significant government-mandated technology is the implementation of Electronic Health Records (EHRs). The present research examines EHR through the lens of Resource Advantage Theory –– to empirically assess how partial and comprehensive implementation levels of EHR adoption influence quality management and financial performance of hospitals.
Error and optimism bias regularization
Article describes how in Machine Learning, prediction quality is usually measured using different techniques and evaluation methods. This paper will introduce a simple regularization term to manage the number of over-predicted/under-predicted instances in a regression model.
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection
Article describes how identity theft poses a significant threat to mobile users, yet mobile identity protection is often overlooked in cybersecurity literature. This study adopts a mixed-methods approach and draws on expectancy-value theory to address these gaps and explore the impact of expectations, capabilities, motivational values, technical measures, and awareness on individuals' intentions to achieve mobile identity protection.
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