Dr. Mohammad Salehan

Mohammad Salehan is an Assistant Professor of Computer Information Systems. He received his Ph.D. in Business from University of North Texas in 2015. He also holds an MBA from Sharif University of Technology and a B.Sc. in Software Engineering from Shahid Beheshti University. His research interests include business analytics, social networks, and mobile computing. He serves as the coordinator for Business Intelligence track and as a fellow with the Center for Innovative Analytics.

Google Scholar page: https://scholar.google.com/citations?user=z0K7uOAAAAAJ&hl=en

Recent Courses:
CIS 4567 – Big Data Analytics
CIS 4321 – Data Mining
CIS 3262 – Business Intelligence
GBA 6050 – Business Data Analytics and Modeling

Selected Publications:

Salehan, M., and Kim, D. J., An investigation of predictors of information diffusion in social media: Evidence from sentiment mining of Twitter messages. HICSS 2020 proceedings

Al-Beitawi, Z., Salehan, M., and Zhang, S., Cluster Analysis of Musical Attributes for Top Trending Songs. HICSS 2020 proceedings

Salehan, M., Kim, D. J., and Lee, J. N. (2018). Are there any relationships between technology and cultural values? A country-level trend study of the association between information communication technology and cultural values. Information & Management, 55(6), 725-745.

Aghakhani, N., Karimi, J., and Salehan, M. (2018). A Unified Model for the Adoption of Electronic Word of Mouth on Social Network Sites: Facebook as the Exemplar. International Journal of Electronic Commerce, 22(2), 202-231.

Salehan, M. and Kim, D. J. (2017) Use of online social networking services from a theoretical perspective of motivation-participation-performance framework. Journal of The Association for Information Systems 18(2), 1.

Salehan, M. and Kim, D. J., (2016) Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics. Decision Support Systems, 81, 30-40.

Salehan, M., Mousavizadeh, M., and Koohikamali, M. (2015) A recommender System for online consumer reviews. ICIS 2015 Proceedings

Mousavizadeh, M., Koohikamali, M., and Salehan M. (2015) The effect of central and peripheral cues on online review helpfulness: A comparison between functional and expressive products. ICIS 2015 Proceedings

Salehan, M. and Kim, D. J. Predicting the Performance of Online Consumer Reviews: A Sentiment Mining Approach. ICIS 2014 Proceedings

Salehan, M. and Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632-2639.