Faculty Research Interests

My research interests are related to organizational behavior and human resources with specific interests in emotional intelligence, cultural intelligence, social intelligence, and leadership, which are all areas that have current relevance to researchers and practitioners.  More recently, I have found that the cultural intelligence field is such an emerging area that there are many opportunities to create new research streams that I believe I will be focusing more on in the future. Additionally, I have become interested in online social networks and their implications for expatriates and repatriates.  

I am actively researching Credit Risk Transfer products that are issued by Fannie Mae and Freddie Mac (GSEs). The products are designed to transfer default risk off the GSEs balance sheet protecting these entities from financial failure. The research focuses on the liquidity and returns of these products. I plan to expand the research to include the marketability of these products through high-interest rate time periods.

My research agenda focuses on ‘The Business of Healthcare’ and encompasses several key content areas:

1. Expenditures, financial and economic impacts 
2. Health policy and public administration (including ethics)
3. Pedagogy and teaching.

These concepts provide full breadth and depth of the healthcare administration, business administration and public administration (specifically health policy) industries, with common elements of each captured in my research. Supporting research on these topics will include the analysis of management functions such as planning, decision making, organizational design and resource management as well as the exploration of influences on these content areas.

My research interests include working to help universities drive curriculum development to align curricula with current technology trends in industry, such as software development and other "in-demand" technology fields.

In general, exploring and developing new mathematical, statistical, and machine learning approaches to solve transportation, supply chain and logistics complex problems are among my current and future research objectives. Moreover, I am open to conduct cutting-edge research ideas including those involving multi-discipline expertise to come up with new perspectives and solutions to existing complex problems. Relevant areas of my current and future research include: data mining & statistical analysis, decision-making supported by big data, transportation network analytics, project scheduling problems, machine learning algorithms for smart manufacturing, and accident analysis.

• Paradox
• Responsible Global Business
• Multinationals
• Senior Entrepreneurship
• Small and Business Enterprises
• International Business
• Organization Management