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Marina Johnson

Assistant Professor, Information Management and Business Analytics

Office:
School of Business
Email:
johnsonmari@montclair.edu
vCard:
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Professional Experience

  • Assistant Professor, Montclair State University (2018 - Present)
  • Principal Data Scientist/Senior Manager, Comcast - NBC Universal (2017 - 2018)
  • Assistant Professor, The University of Dayton (2015 - 2017)
  • Graduate Research Assistant at United Services Hospital & Graduate School , State University of New York, Binghamton (2010 - 2014)
  • Senior Data Analytics Consultant, Hugo Boss (2007 - 2010)

Honors & Awards

  • Best Paper Award, Information and Communication Tecnologies in Organizations and Society (ICTO) Conference 2019 (October 2019)
  • Associate Member, Alpha Pi Mu Honor Society (January 2012)

Refereed Published Articles

  • S. Tutun, A. Tosyali, H. Sangrody, M. Khasawneh, M. Johnson, A. Albizri, A. Harfouche (2022). Artificial Intelligence in Energy Industry: Forecasting Electricity Consumption through Cohort Intelligence & Adaptive Neural Fuzzy Inference System. The Journal of Business Analytics
  • M. Johnson, R. Misra, M. Berenson (2022). Integrating Bayesian and Markov Methods in Business Analytics Curricula. Decision Sciences Journal of Innovative Education (DSJIE)
  • M. Johnson, A. Albizri, A. Harfouche, S. Wamba (2022). Integrating Human Knowledge into Artificial Intelligence for Complex and Ill-Structured Problems: Informed Artificial Intelligence. International Journal of Information Management
  • M. Johnson, R. Jain, M. Brennan-Tonetta, E. Swartz, D. Silver, J. Paolini, S. Mamonov, C. Hill (2021). Impact of Big Data and Artificial Intelligence On Industry: Developing A Workforce Roadmap for a Data Driven Economy. Global Journal of Flexible Systems Management
  • M. Johnson, A. Albizri, A. Harfouche (2021). Responsible Artificial Intelligence in Healthcare: Predicting and Preventing Insurance Claim Denials for Economic and Social Wellbeing. Information Systems Frontiers
  • A. Johnson, M. Johnson, N. Nagarur (2021). Supply Chain Design Under Disruptions Considering Risk Mitigation Strategies for Robustness and Resiliency. International Journal of Logistics Systems & Management (IJLSM)
  • M. Johnson, A. Albizri, A. Harfouche, S. Tutun (2021). Digital Transformation to Mitigate Emergency Situations: Increasing Opioid Overdose Survival Rates through Explainable AI. Industrial Management & Data Systems
  • E. Swartz, P. Brennan-Tonetta, R. Jain, M. Johnson, S. Mamonov, M. Hale, J. Jayaraman (). In search of pedagogical approaches to teaching business ethics in the era of digital transformation. Journal of Big Data - Theory and Practice
  • Y. Alnsour, M. Johnson, A. Albizri, A. Harfouche (). Predicting Patient Length of Stay Using Artificial intelligence to Assist Health Care Professionals in Resource Planning and Scheduling Decisions. Journal of Global Information Management
  • M. Johnson, R. Jain, m. Brennan, E. Swartz, D. Silver, J. Paolini, S. Mamonov, C. Hill (2021). Developing Big Data and AI Workforce Roadmap for A Data Driven Economy. Global Institute of Flexible Systems Management
  • R. Jain, M. Johnson, A. Albizri, G. Elias (). An Open System Architecture Framework for Interoperability (OSAFI). International Journal of Business Information Systems
  • M. Johnson, A. Albizri, S. Simsek (2020). Artificial Intelligence in Healthcare Operations to Enhance Treatment Outcomes: A Framework to Predict Lung Cancer Prognosis for Tailoring of Treatment Strategies. Annals of Operations Research
  • M. Johnson, A. Albizri, R. Jain (2020). Exploratory Analysis to Identify Concepts, Skills, Knowledge, & Tools to Educate Business Analytics Practitioners. Decision Sciences Journal of Innovative Education
  • S. Simsek, A. Albizri, M. Johnson, T. Custis, S. Weikert (2020). Predictive Data Analytics for Contract Renewals: A Decision Support Tool for Managerial Decision Making. Journal of Enterprise Information Management
  • M. Johnson, M. Berenson (2019). Choosing Among Computational Software Tools to Enhance Learning in Introductory Business Statistics. The Decision Sciences Journal of Innovative Education (DSJIE)
  • P. Appiah-Kubi, M. Johnson, E. Trappe (2019). Service Learning in Engineering Technology: Do Students Have Preferences on Project Types?. Journal of Engineering Technology
  • M. Johnson, N. Nagarur, (2015). Multi-stage Methodology to Detect Health Insurance Claim Fraud. Healthcare Management Science

Published Proceedings

  • E. Swartz, R. Jain, M. Johnson (5s). . Out of Africa: Tracking Women as Digital Entrepreneurs in Africa South of the Sahara Diana International Research Conference
  • M. Johnson, M. Berenson (5s). 2018. Comparing Two Free Software Platforms for Teaching an Introductory Business Statistics Course Decision Science Institute Annual Conference
  • M. Johnson, A. Johnson, N. Nagarur (5s). 2018. Conceptual Framework for Designing Robust and Resilient Supply Chains Decision Sciences Institute Annual Conference
  • A. Albizri, M. Johnson, R. Jain (5s). 2018. The Future of Business Analytics Education: Closing the Gap between Academia & Industry 2018 DSI Annual Meeting Proceedings
  • A. Alazzam, M. Johnson, H. Lewis (5s). 2013. A New Optimization Algorithm for Non-convex Problems Proceedings of the 2013 Industrial and Systems Engineering Research Conference
  • M. Johnson, Y. Han, N. Nagarur, (5s). 2013. A Simulation Model for Blood Supply Chain Systems Proceedings of the 2013 Annual Industrial and Systems Engineering Research Conference