McCullough, Rose, Saljoughian, Smith, and Zablah. “Examining Post-Purchase Consumer Responses to Product Automation.” Journal of the Academy of Marketing Science, 2022, doi:10.1007/s11747-022-00900-8.
Dr. Mohammad (Mike) Saljoughian is an assistant professor of marketing. He received his PhD in marketing and a master's degree in statistics and data science from the University of Tennessee, Knoxville.
Dr. Saljoughian is currently conducting research on customer engagement and front-line employees. His research relies heavily on quantitative models, empirical modeling, big data analysis, deep and machine learning, causal inference, natural language processing (NLP), and Bidirectional Encoder Representations from Transformers (BERT). His work has appeared or is under review in leading journals such as the Journal of the Academy of MarketingScience and Journal of Marketing Research.
2022 Ph.D. in Marketing, University of Tennessee, Knoxville; 2022 M.S. in Statistics and Data Science, University of Tennessee, Knoxville; 2014 M.B.A, Iran; 2014 M.A. in Language Education, Iran; 2007 B.S. in Civil Engineering, Iran
AMA-Sheth Doctoral Consortium Fellow (June 2022); Haslam College of Business Post-Doctoral Research Award (2022 - 2023); Research Competition First Runner-Up, Southeastern Marketing Symposium (March 2022)