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Ta Anh Viet

PERSONAL PROFILE

Dr. Anh Ta is an Assistant Professor of Supply Chain Management in the Department of Management at the University of Nebraska Omaha. He received his Bachelor of Science in Chemistry with High Honors in 2008 and Master of Business Administration in 2014. He holds a Ph.D. in Management Science with a minor in Logistics & Supply Chain Management at the University of North Texas in 2019. Dr. Anh Ta is a member of the Decision Science Institute (DSI), the Institute for Operations Research and the Management Sciences (INFORMS), and the Production and Operations Management Society (POMS). His research interests are in the areas of application of statistics and operations research to healthcare and the effect of IT on operation research-related issues.

RESEARCH INTERESTS

  • Application of statistics and operations research to healthcare and information technology.
  • Research Methodologies: Mathematical Modeling, Simulation, Multivariate Analysis, and Structural Equation Modeling.

EDUCATIONS

  • BS in Chemistry (2008),  Vietnam National University, Ha Noi, Vietnam. 
  • MS in Business Administration, (2014), Texas A&M University-Corpus Christi.
  • PhD in Business, Management Science Concentration (2019). Minor: Logistics & Supply Chain Management, University of North Texas.

PUBLICATION and PROJECTS

  • Nguyen, Q., Ta, A. & Prybutok, V. (2018), “An Integrated Model of Voice User Interface Continuance Intention: The Gender Effect”, International Journal of Human-Computer Interaction, Accepted.

    Ta, A., & Prybutok, V. (2018), “A Mindful Product Acceptance Model”, Journal of Decision Systems, 27:1, 2018, pp 19-36, DOI: 10.1080/12460125.2018.1479149.

    Moore, A., Prybutok, V., Ta, A. & Amey, F. (2018), “Personal social networks and health among aging adults in Agincourt, South Africa: a multidimensional approach”, Social Networks, Vol 55, October 2018, Pages 142–148, https://doi.org/10.1016/j.socnet.2018.06.001

    Prybutok, G., Ta, A., Liu, X. & Prybutok, V., “Comparative Evaluation of Structure Equation Modeling Methods in an eHealth Model”, International Journal of Healthcare Information Systems and Informatics.