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Vandana (Ana) Mangal, Ph.D. - Loyola Marymount University. Los Angeles, CA, US

Vandana (Ana) Mangal, Ph.D.

Clinical Associate Professor of Information Systems and Business Analytics; Academic Co-Director of M.S. in Business Analytics | College of Business Administration, Loyola Marymount University



Professor Mangal can be reached at ana.mangal@lmu.edu.

Professor Vandana (Ana) Mangal's academic experience includes working at UCLA Anderson School of Management, Pepperdine Graziadio Business School, and, Wisconsin School of Business, UW-Madison. At Pepperdine, she was Innovation Advisor to the Dean’s leadership team for strategic initiatives including program innovation and integration of 4IR (fourth industrial revolution) technologies. At UCLA, she led curriculum strategy, growth and corporate relations as Executive Director for the Easton Technology Management Center, leading to Easton becoming an endowed center. As a lead researcher in the global BIT (Business and Information Technologies) project, she received grant funding and published four books and several research papers. She has taught courses in Information Systems, Data, and Project Management at UW-Madison and at UCLA. Her industry experience includes Intel Corporation, Tata Group and AE Business Solutions consulting.

Professor Mangal has served as guest editor of a special issue of the International Journal of Engineering Management and Economics, as a reviewer for journals and as external advisor to several Ph.D. students.

Education (3)

Carnegie Mellon University: Ph.D., Management Information Systems

Carnegie Mellon University: Masters, Management Information Systems

Punjab Engineering College: B.S., Electrical Engineering


Areas of Expertise (5)

Project Management and Databases

Business Continuity

Business impacts with emerging technology deployment

Disruption in sector value chains

Women in Technology

Industry Expertise (2)


Training and Development

Articles (5)

UCLA Anderson Business and Information Technologies (Bit) Project, The: A Global Study of Technology and Business Practice

World Scientific Publishing


This is the fourth of a series of research volume of papers from the Business and Information Technologies global research network. The BIT network comprises 21 partners from 17 countries, and conducts studies on the impact of new information and communication technologies on business practice, industry structure and economic change.

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An approach for developing an MBA curriculum to meet the career objectives of MBA students with engineering/science backgrounds

International Journal of Engineering Management and Economics


As more students with engineering background take management responsibilities in corporations, there is a need to develop a special track within the MBA programs to help them bridge the gap between their engineering background and their required management skills.

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Longitudinal Trends In The United States — Results Of The Bit Survey Over Three Years

The UCLA Anderson Business and Information Technologies (BIT) Project A Global Study of Business Practice


The UCLA Business and Information Technologies (BIT) Survey is aimed at understanding and tracking the impacts of technologies on business practices. This report shows the longitudinal trends observed by comparing the findings from three surveys conducted in the United States in 2003–2004, 2004–2005, and 2005–2006.

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Organisational structure and value chain evolution: impacts of information technology on the insurance industry in the USA and Europe

International Journal of Technology Marketing


Using interviews with Chief Information Officers (CIOs) from ten insurance companies in the USA and Europe, changes to the financial services sector are studied. How the insurance industry has changed to take advantage of information technology is examined.

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Assessing the impact of information technology on labor productivity A field study

Decision Support Systems


Measuring and understanding the productivity impact of information technology (IT) is a significant and difficult problem facing researchers. We propose that the effect of IT applications can be best understood through an analysis at the information process level.

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