Ipek Demirdag

PhD Candidate in Marketing

UCLA Anderson School of Management

Los Angeles, CA


Ipek is passionate about consumer judgment and decision-making in the digital space. Her main research explores when and why consumers opt for human choice and feel uneasy about letting an algorithm choose on their behalf. She studies consumers’ divergent conceptualizations of algorithmic and human decision processes and the effect of this disparity on satisfaction.

Prior to joining UCLA, Ipek received her B.S. in Biopsychology, Cognition, and Neuroscience with honors and distinction from the University of Michigan, where she also received her M.S. in Cognitive Neuroscience.



Please contact Ipek if you would like to receive details about the following research papers. 

Linear Abstract Pattern
Street Silhouettes

Insights into the Black Box: Input Explainability Drives Consumer Satisfaction in the Digital World

Bias Neglect: When Consumers Neglect Human Bias, but not Algorithmic Bias

The Effects of Consumer-Algorithm Goal Alignment

Ownership Where Ownership Does Not Exist:  Psychological Ownership in Sharing Economies


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