Vivek H. Patil

A statistical thinking guide that uses real stories and data to help business professionals, students, and curious readers reason under uncertainty and evaluate the quantitative claims that shape everyday decisions. Paired with a companion library of interactive apps that let readers explore the concepts hands-on.

A framework for evaluating and designing AI applications — the layer of the AI stack where systems meet particular persons. It layers the four permanent principles of Catholic Social Teaching, the Ignatian discipline of discernment, and the six principles of the Rome Call for AI Ethics, with every source verified against the primary text. Offered to companies, nonprofits, public agencies, health systems, and universities; jesuitaiethics.org is its reference implementation, instrumenting the framework as an assessment auditor and a design workshop.

Shows how the permanent principles of Catholic Social Teaching and the Ignatian discipline of discernment can be translated from statements of principle into working instruments for AI ethics at the application layer — the layer of the AI stack where systems meet particular persons.

Social network analysis examining scholarly collaboration patterns in Jesuit business education research, identifying key contributors and institutional partnerships across academic institutions. Recipient of the 2025 Rev. Jerry Cavanaugh S.J. Best Paper Award for the best paper in Volume 16 of the Journal of Jesuit Business Education.

Explores ethical considerations in algorithmic lending decisions, proposing frameworks for responsible financial technology implementation in business practice.

Comprehensive review of customer churn literature across industries, providing theoretical framework for understanding retention challenges and strategic implications.

Bridges academic research and community practice by examining how consumer bankruptcy research can inform community development programs and policy initiatives.

Analyzes gender representation patterns in business journal publishing, examining differences between top-tier and other academic publications using bibliometric analysis.

Applies various machine learning algorithms to predict customer churn in subprime auto lending market, comparing model performance and identifying key behavioral predictors.

Examines current practices in correlation matrix visualization and proposes improved methods for displaying statistical significance, with development of interactive R tools.

Investigates the impact of alphabetical author ordering conventions on collaboration patterns and career outcomes in academic publishing using empirical analysis.

Proposes systematic framework for extracting business value from big data initiatives, addressing organizational and technical considerations for implementation.

Develops framework for measuring mission-related learning outcomes in Jesuit business education, with practical applications for institutional assessment and improvement. Recipient of the Thomas A. Bausch Best Paper Award at the 2018 World Forum of the International Association of Jesuit Business Schools (IAJBS).

Examines social benefits of community sport events and provides framework for continuous improvement in community engagement and stakeholder satisfaction.

Examines gender representation patterns in marketing journal publishing, contributing to understanding of diversity in academic marketing research.

Investigates factors affecting student persistence in business education, examining the roles of exhaustion and social support in academic success.

Applies social network analysis methods to identify key scholars and institutional relationships in marketing academia using bibliometric data.

Examines the impact of incentives on student participation and performance in business education, providing insights for instructional design.

Technical tutorial demonstrating sentiment analysis application development using R Shiny and IBM Bluemix cloud platform for social media analytics.

Examines methodologies for assessing mission-related educational outcomes at Jesuit institutions, contributing to institutional effectiveness research.

Investigates the relationship between self-leadership strategies and burnout symptoms in organizational contexts using empirical analysis.

Examines how consumption-related inconveniences affect consumer pricing preferences and optimal pricing strategies for service providers using economic modeling.

Preliminary investigation into the relationship between organizational self-esteem and burnout symptoms using survey methodology and statistical analysis.

Describes systematic approach for integrating mission-centered values into business school operations and faculty development processes at Jesuit institutions.

Demonstrates application of parallel analysis in public health research contexts, providing methodological guidance for health behavior measurement and scale development.

Advocates for parallel analysis over the traditional eigenvalue-greater-than-one rule in exploratory factor analysis, with practical implications for measurement theory and research methodology.

Examines effective messaging strategies for walking intervention programs, contributing to public health promotion and behavior change research.

Applies communications theory to understand how users perceive and process web page information, with implications for digital marketing and user experience design.

Investigates the relationship between author ordering in academic publications and research quality indicators using empirical analysis of publication patterns.