Information Systems Guest Speaker Series with Dr. Christian Matt (Monday, May 23rd, 2016)
In the context of our “Information Systems Guest Speaker Series”, Dr. Christian Matt from the Ludwig-Maximilians-Universität München will give a talk entitled “Exploring New Online Recommendation Spaces Through Serendipity” at the University of Bayreuth. The guest speech will take place on Monday, May 23rd, 13:00 – 14:30 in room 3.03 in the office of the Fraunhofer Project Group BISE, Wittelsbacherring 10, Bayreuth. No prior registration is required.
Abstract: Recommender systems are often criticized for keeping users in a “filter bubble” by recommending products that are very close to users’ preferences – yet filter out products that may pleasantly surprise users. We hold that the concept of recommendation serendipity can help users explore new recommendation spaces without sacrificing recommendation quality. Based on a controlled field experiment with 365 subjects using an online music website, our findings show that compared to the previous concept of recommendation novelty, recommendation serendipity has strongly opposing effects on users: while recommendation serendipity has positive effects on both users’ cognitive and affective reactions, recommendation novelty alone is counterproductive and elicits negative cognitive and affective reactions. We also find that preference fit and perceived enjoyment mediate the relationship of novelty/serendipity and the intention to use the recommender and to purchase the recommended products.
Biography: Christian Matt is Assistant Professor at the Institute for Information Systems and New Media at LMU Munich. He holds a Ph.D. in Management from LMU and master’s degrees in Computer Science (University of Colorado at Boulder) and in Management (LMU Munich/EM Lyon). He was a visiting scholar at the Wharton School of the University of Pennsylvania, Singapore Management University, and EM Lyon. His current research focuses on digitization, both from corporate and individual perspectives. Other research interests include e-commerce and recommender systems, as well as privacy. His research has appeared in Journal of Management Information Systems, Electronic Markets, Business and Information Systems Engineering, MISQ Executive, among others.
Contact: Prof. Dr. Nils Urbach