Dr. Vinod Venkatraman is currently an Associate Professor in Marketing, and Director of the Center for Applied Research in Decision Making at the Fox School of Business, Temple University. He also holds a secondary affiliation with the Department of Psychology at Temple University. Dr. Venkatraman joined Temple in July 2011 after completing his PhD in Psychology and Neuroscience at Duke University. His research involves the use of behavioral, eye tracking, neurophysiological and neuroimaging methodologies to study the effects of context, state, and individual traits on decision preferences. A core emphasis of his research is in the application of findings from the laboratory to real-world decisions in the areas of consumer financial decision making, public policy, and marketing communications.
Dr. Venkatraman received the Early Career Award from the Society of Neuroeconomics in 2016 for his contributions to the area of neuroeconomics and decision neuroscience. His research has been published in leading scientific journals including Journal of Marketing Research, Journal of Neuroscience, Neuron, and Journal of Consumer Psychology, and featured in popular media outlets including BBC, Forbes, NPR, LA Times, and Newsweek. Several of his recent research projects have been funded through grants and collaborations with the industry. He is currently pursuing his sabbatical with the Global Science Organization at IPSOS in an effort to bridge the academia-industry gap and make research more accessible for business applications.
Research Project II
Integrative Perspectives on Business Knowledge
Seminar in Judgment and Decision Making
Rosenbaum, G.M., Venkatraman, V., Steinberg, L., & Chein, J.M. (2022). Do adolescents always take more risks than adults? A within-subjects developmental study of context effects on decision making and processing. PLoS One, 16(8), e0255102. United States. 10.1371/journal.pone.0255102
Venkatraman, V. & Beard, E.C. (2020). Neural Correlates of Decision Variables and Strategic Preferences. In Psychological Perspectives on Financial Decision Making (pp. 21-38). doi: 10.1007/978-3-030-45500-2_2.
Casado-Aranda, L., Venkatraman, V., Sánchez-Fernández, J., & Luque-Martínez, T. (2020). Does Partisan Bias Modulate Neural Processing of Political Information? An Analysis of the Neural Correlates of Corruption and Positive Messages. Political Psychology, 41(1), 145-164. doi: 10.1111/pops.12581.
Venkatraman, V. & Yoon, S. (2020). Adaptivity in Decision-Making Strategies across Age: Process Insights and Implications. Journal of Marketing Behavior, 4(2-4), 103-132. doi: 10.1561/107.00000067.
Venkatraman, V. (2022). Disrupting Dual Systems: A Dynamic Decision-making Framework for Human Behavior. MSI Working Paper Series.
Lindgreen, A., Benedetto, C.D., Verdich, C., Vanhamme, J., Venkatraman, V., Pattinson, S., Clarke, A., & Khan, Z. (2019). How to write really good research funding applications. Industrial Marketing Management, 77, 232-239. doi: 10.1016/j.indmarman.2019.02.015.
Venkatraman, V. & Reeck, C. (2019). Decision Neuroscience: fMRI Insights into Choice Processes. In A Handbook of Process Tracing Methods: Second Edition (pp. 234-248).
Rosenbaum, G., Venkatraman, V., Steinberg, L., & Chein, J. (2018). The influences of described and experienced information on adolescent risky decision making. Developmental Review, 47, 23-43. doi: 10.1016/j.dr.2017.09.003.
Yoon, S., Vo, K., & Venkatraman, V. (2017). Variability in Decision Strategies Across Description-based and Experience-based Decision Making. Journal of Behavioral Decision Making, 30(4), 951-963. doi: 10.1002/bdm.2009.
Hampton, W., Alm, K., Venkatraman, V., Nugiel, T., & Olson, I. (2017). Dissociable frontostriatal white matter connectivity underlies reward and motor impulsivity. NeuroImage, 150, 336-343. doi: 10.1016/j.neuroimage.2017.02.021.
Li, R., Smith, D., Clithero, J., Venkatraman, V., Carter, R., & Huettel, S. (2017). Reason’s enemy is not emotion: Engagement of cognitive control networks explains biases in gain/loss framing. Journal of Neuroscience, 37(13), 3588-3598. doi: 10.1523/JNEUROSCI.3486-16.2017.