research & faculty PSB Paris School of Business
Research for Practice
Faculty
Masoud SHAYGANMEHR

Masoud SHAYGANMEHR

Assistant Professor : PhD Students
Contact-us
Summary
Masoud Shayganmehr is an Assistant Professor at the Paris School of Business. His degrees include Bachelor of Electronic engineering, and Master of Advanced Information Systems from Tarbiat Modares university. His areas of research are the application of soft computing, machine learning, and deep learning in the context of social media platforms (text, image, and video) as well as designing intelligent systems for business prediction. His works have been featured in prestigious journals such as Information Systems Frontiers, Annals of Operations Research, and Information Technology & People.

Profile

Degree

  • (graduated in )

Skill

  • Information Systems Management
  • Information Systems
  • Quantitative Methods

Teaching department

  • Management

Expertises

Marketing
Marketing
Big Data
Big Data

Publications

Scientific Article
Title Authors Source Date
Assessing the role of industry 4.0 for enhancing swift trust and coordination in humanitarian supply chain Masoud SHAYGANMEHR, S. GUPTA, I. LAGUIR, R. STEKELORUM, A. KUMAR Annals of Operations Research 04/2024
A framework for assessing trust in e-government services under uncertain environment Masoud SHAYGANMEHR Information Technology and People 11/2023
Have a Nice Flight! Understanding the Interplay Between Topics and Emotions in Reviews of Luxury Airlines in the Pre- and Post-Covid-19 Periods Masoud SHAYGANMEHR, I. INDRANIL BOSE Information Systems Frontiers 01/2023
A framework for assessing sustainability in multi-tier supply chains using empirical evidence and fuzzy expert system Masoud SHAYGANMEHR, A. ANIL KUMAR, S. SUNIL LUTHRA, J. JOSE ARTURO GARZA-REYES Journal of Cleaner Production 10/2021
Industry 4.0 enablers for a cleaner production and circular economy within the context of business ethics: A study in a developing country Masoud SHAYGANMEHR, A. ANIL KUMAR, J. JOSE ARTURO GARZA-REYES, M. A. MD. ABDUL MOKTADIR Journal of Cleaner Production 01/2021
An Extended Model for Assessing E-Services of Iranian Universities Websites Using Mixed MCDM Method Masoud SHAYGANMEHR, G. A. GHOLAM ALI MONTAZER Education and Information Technologies 02/2020
A novel model for assessing e-government websites using hybrid fuzzy decision-making methods Masoud SHAYGANMEHR, G. A. GHOLAM ALI MONTAZER International Journal of Computational Intelligence Systems