Publications

The Supply Chain Professor’s research primarily investigates healthcare supply chains with a focus on strategy, inventory management, risk management, and teamwork. His peer reviewed publications have appeared in Production and Operations Management, the Journal of Operations Management, Operations Management Research, the International Journal of Operations and Production Management, the International Journal of Medical Informatics, and The Decision Sciences Journal of Innovative Education.

For a complete list of publications, please click the link to: my Google Scholar page or my OrcID.

Refereed Journal Publications

  1. Dreyfus, D., Nair, A., & Talluri, S. (2020). The Impact of Chain Organization Size on Efficiency and Quality of Affiliated Facilities – Implications for Multi-Unit Organizational Forms. Production and Operations Management. https://doi.org/10.1111/poms.13177
  2. Dreyfus, D., Nair, A., & Rosales, C. (2019). The impact of planning and communication on unplanned costs in surgical episodes of care: Implications for reducing waste in hospital operating rooms. Journal of Operations Management. https://doi.org/10.1002/joom.107020
  3. Nair, A. & Dreyfus, D. (2018). Technology alignment in the presence of regulatory changes: The case of meaningful use of information technology in healthcare. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2017.11.012
  4. Nair, A., Nicolae, M., & Dreyfus, D. (2017). Impact of network size and demand on cost performance for high and low quality healthcare service organizations. International Journal of Operations and Production Management. https://doi.org/10.1108/IJOPM-08-2016-0471
  5. DuHadway, S. & Dreyfus, D. (2017). A Simulation for Managing Complexity in Sales and Operations Planning Decisions. The Decision Sciences Journal of Innovative Education. https://doi.org/10.1111/dsji.12134
  6. Nair, A., Ataseven, C., Habermann, M., & Dreyfus, D. (2016). Toward a continuum of measurement scales in Just-in-Time (JIT) research–an examination of the predictive validity of single-item and multiple-item measures. Operations Management Research, 9(1-2), 35-48. https://doi.org/10.1007/s12063-016-0108-x

Ongoing Projects

Systematic Literature Review of Hospital Disruptions – Synthesis and Theoretical Extension

Complexity and Service Disruption Risk in Acute Episodes of Care: Moderating role of Cohesion and Integration

NJ Opioid Public Health Crisis Response

Ghana Hospital Ambulance Service Capabilities with Ambulance Repair

Application of Attention Capital Theory in the Modern Workplace