• De Bellis, E., & Johar, G. V. (2020). Autonomous shopping systems: Identifying and overcoming barriers to consumer adoption. Journal of Retailing96(1), 74-87.
  • de Bellis, E., Hildebrand, C., Ito, K., Herrmann, A., & Schmitt, B. (2019). Personalizing the customization experience: a matching theory of mass customization interfaces and cultural information processing. Journal of Marketing Research56(6), 1050-1065.
  • de Bellis, E., Schulte-Mecklenbeck, M., Brucks, W., Herrmann, A., & Hertwig, R. (2018). Blind haste: As light decreases, speeding increases. PLoS one13(1), e0188951.
  • De Bellis, E., Sprott, D. E., Herrmann, A., Bierhoff, H. W., & Rohmann, E. (2016). The influence of trait and state narcissism on the uniqueness of mass-customized products. Journal of Retailing92(2), 162-172.
  • De Bellis, E., Hildebrand, C., Ito, K., & Herrmann, A. (2015). Cross-national differences in uncertainty avoidance predict the effectiveness of mass customization across East Asia: a large-scale field investigation. Marketing Letters26(3), 309-320.
  • de Bellis, E., Hildebrand, C., Ito, K., Herrmann, A., & Schmitt, B. (2019). Personalizing the customization experience: a matching theory of mass customization interfaces and cultural information processing. Journal of Marketing Research56(6), 1050-1065. pdf
  • Hampton*, W.H., Wilmer*, H., Olson, I.R., Olino, T.M. , Chein, J.M. (2019). Wired to be connected? Links Between Mobile Technology Engagement, Intertemporal Preference, and Frontostriatal White Matter Connectivity. Social Cognitive and Affective Neuroscience.pdf
  • Hampton, W.H., Unger A., Von Der Heide R., Olson I (2016). Neural Connections Foster Social Connections: A Diffusion-Weighted Imaging Study of Social Networks. Social Cognitive and Affective Neuroscience. pdf
  • Hampton, W.H., Alm, K. H., Venkatraman, V., Nugiel, T., & Olson, I. R. (2017). Dissociable Frontostriatal White Matter Connectivity Underlies Reward and Motor Impulsivity. NeuroImagepdf
  • Hampton*, W.H., Asadi*, N., Olson I.R. (2018). Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment. Frontiers in Psychology. pdf
  • Harari, G. M., Müller, S. R., Stachl, C., Wang, R., Wang, W., Bühner, M., Rentfrow, P. J., Campbell, A. T., & Gosling, S. D. (2019). Sensing Sociability: Individual Differences in Young Adults’ Conversation, Calling, Texting, and App Use Behaviors in Daily Life. Journal of Personality and Social Psychology.
  • Hildebrand, C., Häubl, G., Herrmann, A. (2014): Product Customization via Starting Solutions, Journal of Marketing Research, Vol. 51(6), pp. 707-725. pdf
  • Hildebrand, C., Häubl, G., Herrmann, A., Landwehr, J. R. (2013): Conformity and the Crowd, Harvard Business Review, Jul.–Aug., p. 23. pdf
  • Hildebrand, C., Häubl, G., Herrmann, A., Landwehr, J. R. (2013): When Social Media Can Be Bad For You: Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products, Information Systems Research, Vol. 24(1), pp. 14–29. pdf
  • Hildebrand, C., Schlager, T. (2019): Focusing On Others Before You Shop: Exposure To Facebook Promotes Conventional Product Configurations, Journal of the Academy of Marketing Science, Vol. 47(2), pp. 291–307. pdf
  • Rudd, M., Hildebrand, C., Vohs, K.D. (2018): Inspired to Create: Awe Enhances Openness to Learning and the Desire for Experiential Creation, Journal of Marketing Research, Vol. 55(5), pp. 766–781. pdf
  • Schlager, T., de Bellis, E., & Hoegg, J. (2020). How and when weather boosts consumer product valuation. Journal of the Academy of Marketing Science48(4), 695-711.
  • Schlager, T., Hildebrand, C., Häubl, G., Herrmann, A., Franke, N. (2018): Social Customization Systems: Peer Input, Conformity, and Consumers’ Evaluation of Customized Products, Journal of Management Information Systems, Vol. 35(1), pp. 319-349pdf
  • Schoedel, R., Pargent, F., Au, Q., Völkel, S. T., Schuwerk, T., Bühner, M., & Stachl, C. (2020). To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns. European Journal of Personality, 34(5), 733–752.
  • Stachl, C., Au, Q., Schoedel, R., Gosling, S. D., Harari, G. M., Buschek, D., Völkel, S. T., Schuwerk, T., Oldemeier, M., Ullmann, T., Hussmann, H., Bischl, B., & Bühner, M. (2020). Predicting personality from patterns of behavior collected with smartphones. Proceedings of the National Academy of Sciences of the United States of America, 117(30), 17680–17687.
  • Stachl, C., Pargent, F., Hilbert, S., Harari, G. M., Schoedel, R., Vaid, S., Gosling, S. D., & Bühner, M. (2020). Personality Research and Assessment in the Era of Machine Learning. European Journal of Personality, 34(5), 613–631. https://doi.org/10.1002/per.2257
  • Stachl, C., Boyd, R. L., Horstmann, K. T., Khambatta, P., Matz, S. C., & Harari, G. M. (2021). Computational Personality Assessment. Personality Science, 2, 1–22. pdf
  • Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., & Winer, R. S. (2015). Predicting Advertising Success Beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling. Journal of Marketing Researchpdf
  • Völkel, S. T., Schödel, R., Buschek, D., Stachl, C., Winterhalter, V., Bühner, M., & Hussmann, H. (2020). Developing a Personality Model for Speech-based Conversational Agents Using the Psycholexical Approach. Conference on Human Factors in Computing Systems (CHI) – Proceedings, 1–14.
  • Walter, M., Hildebrand, C., Häubl, G., Herrmann, A. (2020): Mixing it up: Disfluent Product Display Formats Promote the Choice of Unfamiliar Products, Journal of Marketing Research, Forthcoming. pdf
  • Whillans, A., de Bellis, E., Nindl, F., & Schlager, T. (2020). Robots Save Us Time—But Do They Make Us Happier?. Harvard Business Review. pdf

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