Maryam Mahdikhani, Ph.D.

Assistant Professor of Supply Chain Management

Education

Rutgers University - Middlesex County, New Jersey 
Ph.D., Supply Chain Management, 2020

Shahid Bahonar University - Kerman, Iran 
M.Sc., Operations Management, 2012

Sharif University - Tehran, Iran
B.S., Industrial Engineering, 2009

Certifications

  • Six Sigma- Black Belt Certification-(June 2022)
  • Six Sigma - Green Belt Certifications- (May 2022)

Research Interests

Retail Operations Management, Machine Learning, Text Mining, Business Analytics, Deep learning

Affiliations 

  • Institute for Operations Research and the Management Sciences (INFORMS)
  • Decision Science Institute (DSI)

Courses Taught

  • Business Statistics
  • Supply Chain Planning Analysis
  • Production and Operation Management
  • Independent study in SCM
  • Operation Management Platform: Hybrid Class - MBA 

Selected Publications

Mahdikhani. M, 2023. “Total quality management and Lean Six Sigma impact on supply chain research field: a systematic analysis”, Vol 35, Pages 1-19, Total Quality Management & Business Excellence, https://doi.org/10.1080/14783363.2023.2214506 

Mahdikhani. M, Mahdikhani. Ma, Gonzalez. M, Teixeira. R, 2023, “High-technology within the supply chain: a systematic review”, ISSN: 0025-1747, Journal of Management Decision, https://doi.org/10.1108/MD-05-2022-0697 

Mahdikhani. M, 2023. “Exploring commonly used terms from online reviews in the fashion field to predict review helpfulness”, Vol 3, Issue 1, International Journal of Information Management – Data Insights, https://doi.org/10.1016/j.jjimei.2023.100172

Biedova, O., Mahdikhani. M, “Emerging topic in Supply Chain Management literature: a scientometric analysis”, Operations and Supply Chain Management: An International Journal, Forthcoming. 

Mahdikhani. M, 2022 “Predicting the popularity of tweets by a public opinion and emotions in different stages of Covid-19 pandemic”, Vol 2, Issue 1, International Journal of Information Management – Data Insights nalyzinghttps://doi.org/10.1016/j.jjimei.2021.100053 

Mahdikhani. M, 2021 “Predicting the popularity of tweets by analyzing public opinion and emotions in different stages of Covid-19 pandemic”, Vol 2, Issue1, International Journal of Information Management – Data Insights  https://doi.org/10.1016/j.jjimei.2021.100053

UNDER REVIEW

Mahdikhani. M, “Smart Supply Chain Characteristics: An Extensive Exploration of News Media and Academic Insights”, International Journal of Logistics Research and Applications, [Status: Under review] 

Mahdikhani. M, Jiyoon, A, Park, A, 2023, “Unveiling Risk Strategies in the Online Food Delivery Platforms: Evidence from Risk Disclosures and RepRisk Index”, Journal of Management Analytics, [Status: Under review] 

Mahdikhani. M, Meena, PL, 2023, “Metaverse in Supply Chains: An Investigating Using Text-Mining”, Annals of Operations Research, [Status: Under review]

Guttentag. D, Mahdikhani. M, Starr. C, Starr, E, 2023, “How Airbnb guest experiences differ by accommodation type: An unsupervised machine learning analysis of Airbnb reviews”, Annals of Tourism Research, [Status: Under review]

Honors & Awards

  • Award of Best Abstract paper in SCM and Logistics track at Atlantic Marketing Association 2023, Wilmington, NC, USA 
  • Faculty Research and Development Grant- SCIM Research (2023 Summer) SCIM Department ($5,000)
  • Distinguished Teaching Award of Business School College of Charleston ($1,000) 
  • Faculty Research and Development Grant (2022 Summer) College of Charleston ($5,000)
  • Faculty Research and Development Grant- SCIM Research (2022 Summer) SCIM Department ($3,500)
  • Faculty Research and Development Grant (2021 Summer) College of Charleston ($5,000). 

Press & Media

  • Cunneff, T. (2022, February 22). Professor Investigates Emotions of Pandemic-Related Tweets, The College Today