Ph.D. Concordia University, Joint Doctoral program with McGill, HEC and UQAM University
M.Sc. Concordia University - Electrical Engineering
B.Sc. Rajshahi University of Engineering and Technology - Electrical Engineering

Biography:

Dr. Shimi Naurin Ahmad is an Associate Professor of Business Administration. She received her BEng in Electrical Engineering from the Bangladesh Institute of Technology, an MEng in Electrical Engineering from Concordia University and a Ph.D. in Business Administration from the joint doctoral program of Concordia University, McGill University, HEC, and UQAM. She has published in the International Journal of Information Management, the Journal of Business Research, the International Journal of Electronic Commerce, the Journal of Marketing Analytics, and many others. She has presented her work at conferences such as the Academy of Marketing Science, Advanced Research Techniques Forum, Society for Marketing Advances, etc. Her recent article in the Journal of Marketing Analytics was awarded the most popular article of 2023. She is a recipient of competitive grants, such as the Provost Innovation Grant, Transform Morgan Grant, and several GSBM Summer Research Grants. Her primary research focus is on Online Consumer Behavior. She uses large unstructured data sets to uncover consumer behavior patterns by utilizing various text mining techniques.

Research Interests:

Online Consumer Behavior, Online Marketing and Sales, Text Mining of Online word-of-mouth, Effects of Culture, Online Pricing 

Recent Publications:

Ahmad, S. N., & Laroche, M. (2023).  Extracting Marketing Information from Product Reviews: A Comparative Study of Latent Semantic Analysis and Probabilistic Latent Semantic Analysis.   Journal of Marketing Analytics, 11 (4), 662-676. (Recipient of the 2023 Most Popular Award at JMA)

Ahmad, S. N., & Richard, M. (2023).  Shooting for the stars: What are the topics of reviews that affect star ratings? Canadian Journal of Administrative Sciences. (online publication: May 2023)

Ahmad, S. N., & Laroche, M. (2017).  Analyzing electronic word of mouth: A social commerce construct.   International Journal of Information Management, 37 (3), 202-213.

Ahmad, S. N., & Laroche, M. (2016).  How Do Fine-Grained Emotion Affect Helpfulness Vote of a Product Review? Evidence from User Generated Content Using Latent Semantic Analysis.   International Journal of Electronic Commerce, 20 (1), 76-111.

Ahmad, S. N., & Richard, M. (2014).  Understanding Consumer's Brand Categorization in the Foreign Markets: An Application of Fuzzy Rule Based Classification System.   Journal of Business Research, 67 (3), 278-287.