Adjunct Professor Presents Marketing Research Internationally

Adjunct Professor and alumna Nabanita Talukdar (MS Finance ’09, DBA candidate) has led courses in marketing, finance, information technology and mathematics since 2013. In recent months, she presented her research at premier conferences in Ireland and Singapore.

In April, Nabanita attended the annual Twitter Mixed Days Conference which was held at Cairnes School of Business & Economics at National University of Ireland, Galway (NUIG).  The international conference is hosted by Cairnes School of Business & Economics in conjunction with Emlyon Business School, France and the Twitter development team. Nabanita was one of ten researchers selected to present on topics ranging from public health, public policy, political systems, information systems, computer science and marketing.

Nabanita Talukdar presenting her research at Twitter Mixed Days conference.
Nabanita Talukdar in front of the Cairnes School of Business & Economics

In June, she presented a research paper titled, “Tweets, Retweets and Luxury Connoisseurs: An empirical study of the relationship between tweet volume and stock prices for luxury brands in the US” at the LVMH-SMU Luxury Research Conference held at Singapore Management. The inaugural conference brought together over 50 academics from reputed global universities such as Golden Gate University, Northwestern University, Tsinghua University, ESSEC, UCLA and University of Houston. Nabanita’s research included a sample of 12 companies from the luxury apparel, specialty retail, footwear, auto and jewelry sectors ultimately determining a link between tweet volume and stock prices.

Nabanita Talukdar attending the LVMH-SMU Luxury Research Conference
Event space for the LVMH-SMU Luxury Research Conference

To learn more about Nabanita’s research, join one of her courses at GGU, online or in a classroom at our downtown San Francisco location. For more information on our marketing programs, please visit our website.



Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.