YU -AlKhobar

Dr. Fayyaz Khan

Assistant Professor of Management

Biography:

Fayyaz Khan is an Assistant Professor in the College of Business at Al Yamamah University, where he teaches Operations Management, Supply Chain Management, and Quantitative Methods for Business across the MBA and Executive MBA programmes. He earned his PhD from the University of Sydney Business School (Institute of Transport and Logistics Studies), where his doctoral research examined how decision-makers and consumers evaluate trade-offs under risk and uncertainty in transport, logistics, and last-mile delivery contexts, using discrete choice modelling and stated preference experiments.

His current research spans behavioural operations management, human–AI collaboration in supply chains, trust calibration in algorithmic decision support, and contamination psychology in circular economy supply chains. He combines rigorous experimental and quantitative methods with extensive industry consulting experience. At Kantar Insights Australia he served as Senior Client Manager, Analytics, building marketing mix and econometric models and translating their outputs into business strategy, and at KPMG Australia he worked as a Senior Consultant, delivering economic feasibility studies and operational modelling for large-scale infrastructure projects. Earlier, as a researcher at the University of Sydney, he contributed to projects on consumer preferences, travel behaviour, and innovation in logistics.

His methodological expertise spans discrete choice analysis, experimental design, demand forecasting, econometrics, and data visualisation, with particular strengths in behavioural experiments and predictive analytics. His work has been published in leading international journals, and he regularly presents at major academic conferences. At Al Yamamah he also contributes to programme development and accreditation, including the Master of Supply Chain Management. He is passionate about connecting rigorous research with practical business applications, equipping students with both analytical skills and real-world insight.

Publications:

Journal Articles

  1. Merkert, R., Bliemer, M. C. J., & Khan, F. (2022). Consumer preferences for innovative and traditional last-mile parcel delivery. International Journal of Physical Distribution & Logistics Management, 52(3), 261–284. (ABDC: A)
  2. Khan, F., Bliemer, M. C. J., Beck, M. J., Hess, S., & van Lint, J. W. C. (2021). Stated choices and simulated experiences: Differences in the value of travel time and reliability. Transportation Research Part C: Emerging Technologies, 128, 103145. (ABDC: A*)

Papers Under Review

  1. Khan, F. (2026). The sincerity constraint in AI-mediated service recovery: A routing framework for exception handling. Production and Operations Management. (ABDC: A*)
  2. Merkert, R., Hess, S., Khan, F., & Bliemer, M. (2026). The relevance of traditional postal services in a diversifying last-mile delivery landscape: The role of human-to-human (H2H) interactions. Transportation Research Part E: Logistics and Transportation Review. (ABDC: A*)
  3. Khan, F., & Merkert, R. (2026). Perceived contamination as a barrier in closed-loop supply chains: Network design strategies for remanufactured products. International Journal of Logistics Management. (ABDC: A)
  4. Khan, F. (2026). When experience misleads: How availability bias and loss aversion shape logistics resilience investments after Covid-19. Journal of Business Logistics. (ABDC: A)
  5. Khan, F. (2026). Designing for appropriate reliance: Organisation design choices for trust calibration in AI-enabled operations and supply chain management functions. International Journal of Physical Distribution & Logistics Management. (ABDC: A)
  6. Khan, F., & Merkert, R. (2026). The geography of inertia: How status quo bias prevents supply chain reconfiguration under geopolitical risk. International Journal of Physical Distribution & Logistics Management. (ABDC: A)
  7. Khan, F. (2026). Trust calibration in human–AI teams: A behavioural process theory of algorithmic override. Industrial Management & Data Systems. (ABDC: A)

Conferences:

  1. Khan, F. (2026). When experience misleads: How availability bias and loss aversion shape logistics resilience investments after Covid-19. Paper accepted for presentation at the 21st CSCMP European Research Seminar (ERS 2026), Madrid, Spain.
  2. Khan, F., & Merkert, R. (2026). Perceived contamination as a barrier in closed-loop supply chains: Network design strategies for remanufactured products. Paper accepted for presentation at the 21st CSCMP European Research Seminar (ERS 2026), Madrid, Spain.
  3. Khan, F. (2026). Algorithmic agency in organizations: Reconceptualizing AI as organizational actor. Paper accepted for presentation at the 86th Annual Meeting of the Academy of Management (AOM 2026), Philadelphia, PA, USA.
  4. Khan, F. (2026). The hidden barrier: Contagion psychology and resistance to remanufactured goods in B2B supply chains. Paper accepted for presentation at the 86th Annual Meeting of the Academy of Management (AOM 2026), Philadelphia, PA, USA.

Teaching:

  • Graduate (MBA / Executive MBA)
    • STT 503: Quantitative Business Analysis (MBA)
    • MGT 511: Operations Management (Executive MBA)
    • STT 505: Management Statistics (Executive MBA)

    Undergraduate

    • MGT 304: Quantitative Methods for Business
    • MGT 330: Operations Management

Services:

  • Lead contributor, Master of Supply Chain Management (MSCM) programme accreditation and international benchmarking, College of Business, Al Yamamah University.
  • Course Coordinator, MBA and Executive MBA programmes, College of Business, Al Yamamah University.
  • Reviewer for academic journals and conferences including Transportation Research Part E: Logistics and Transportation Review, the Journal of Air Transport Management, and the Transportation Research Board Annual Meeting.
  • Contributor to Australian Research Council (ARC)-funded projects at the University of Sydney, focusing on transport, logistics, and behavioural decision-making.
  • Member of international research collaborations with the University of Sydney, TU Delft, the University of Leeds, and Monash University.
  • Industry engagement through consulting roles at KPMG Australia and Kantar Insights Australia, applying analytics and modelling to strategic and operational problems.

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