Title: Assistant Professor
Department: Marketing and Supply Chain Management
Office: Alter Hall 562
Research Interests: Decision Neuroscience, Biases in decision making, Decision preferences across the lifespan
Dr. Venkatraman joined Temple University in July 2011 after completing his PhD in Psychology and Neuroscience at Duke University. He is currently an Assistant Professor in the Department of Marketing, and also the Associate Director of the Center for Neural Decision Making at the Fox School of Business, Temple University. His research involves the use of behavioral, eye-tracking, neurophysiological and neuroimaging methodologies to study the effects of task environment, state variables, and individual traits on decision preferences and consumer behavior.
- Venkatraman, V., Payne, J.W. and Huettel, S.A. An Overall Probability of Winning Heuristic for Complex Risky Decisions: Choice and Eye Fixation Evidence, Organizational Behavior and Human Decision Processes (In Press).
- Venkatraman, V. Why Bother with the Brain? A Role for Decision Neuroscience in Understanding Strategic Variability. (Special Issue Editors: Pamma, C. V. S., and Srinivasan, N.), Decision Making: Neural and Behavioral Approaches, Progress in Brain Research, 202 (2012).
- Venkatraman, V., Clithero, J. A, Fitzsimons, G. J. and Huettel, S. A. New Scanner Data for Brand Marketers: How Neuroscience can Help Better Understand Differences in Brand Preferences, Journal of Consumer Psychology 22:1 (2012), 143-153.
- Venkatraman, V., Huettel, S.A., Chuah, Y.M.L., Payne, J.W. and Chee, M.W.L. Sleep Deprivation Biases Neural Mechanisms Underlying Economic Preferences, Journal of Neuroscience, 31: 10 (2011), 3712-18.
- Venkatraman, V., Payne, J.W., Bettman, J.R., Luce, M.F. and Huettel, S.A. Separate Neural Mechanisms Underlie Choices and Strategic Preferences in Risky Decision Making, Neuron, 62:4(2009), 593-602.
Fox School of Business, Temple University
- Foundations of Marketing Research
- PhD seminar on Judgment and Decision Making
- Introductory database management for Marketing
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