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.

Data management plan for the grant, "Applying Game Theory for Improving and Optimizing the US Political Asylum Process"

Data management plan for the grant, "Exploiting machine learning for cybersecurity tasks to talent mapping and exploring credentialing ecosystem"

Data management plan for the grant, "Exploring the Relative Risk Severity of Phishing Techniques on Individual Phishing Susceptibility: A Mixed Approach."

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.

Article asserts that social entrepreneurship continues to grow as an impactful phenomenon in the world and as a rich stream of research. This special issue thus offers insights for researchers, policymakers, educators, and entrepreneurs about how to sustain impactful social/environmental activities over time.

Article asserts that visual imagery is one of the most important methods of communicating with consumers, but scholars have generally neglected the role of different forms of visual imagery (representational and abstract). The authors demonstrate that prevention-focused versus promotion-focused mindsets guide the interpretation of meanings conveyed by representational versus abstract visual imagery as a nonverbal means to achieve regulatory fit.

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.

Article provides insight into the strategic behaviors of firms facing slow growth in times of economic stagnation. Using the pertinent literature from institutional theory and organizational change, the authors posit that the appropriate firm-level response (strategic choice) during periods of slow growth is to maintain legitimacy and membership in the field by adopting a proactive approach that focuses on improving top-line growth.

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.

Data management plan for the grant, "NSF Engines Development Award: Advancing logistics technologies (TX, OK)."

Article explores socially responsible VC architectural dimensions with implications for firm design based on blended measures of success.

Data management plan for the grant, "FW-HTF-P: Understanding and Assessing Technology Innovation to Mitigate Distraction and Improve the Performance of Future Forklift Operators."

Article analyzing the interaction between management and investors during Chinese IPO roadshows through Jaccard Similarity analysis of written Chinese logograms.

Article presents a textual analysis of news articles about cyberbullying to provide input for prevention and training efforts to combat the issue.

Article presents a research study characterizing and measuring cross-functional integration (CFI) skills.

Article studies the relationship between financial literacy and self-employment in a U.S. context and extends prior research by focusing on gender and race.

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.

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 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.

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.

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.

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.

Data management plan for the grant, "Enhancing Techniques for Ontologies Mapping for the Cybersecurity Workforce Development Applications."