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Jason  Miller

Jason Miller

Assistant Professor
Department: Supply Chain Management

Office: N328

Telephone: 517-432-6426


Jason Miller (Ph.D. The Ohio State University) is an Assistant Professor of Logistics at Michigan State University's Eli Broad College of Business. His primary research stream examines firms' logistics operations, with an emphasis on studying motor carrier safety. He also undertakes research developing and disseminating multivariate statistical techniques. His research has appeared or is forthcoming in Academy of Management Journal, Journal of Business Logistics, Journal of Management, Journal of Operations Management, Journal of Supply Chain Management, Multivariate Behavioral Research, Transportation Journal, and Transportation Research Part E. His research at Journal of Business Logistics has been recognized with the Bernard J. LaLonde Best Paper Award for the best manuscript published in 2013.Jason serves on the Editorial Review Board for Journal of Operations Management and actively reviews for several supply chain (Decision Science Journal, International Journal of Logistics Management, Journal of Business Logistics, and Transportation Journal) and quantitative methods (Educational and Psychological Measurement and Structural Equation Modeling) journals.

•Motor carrier safety

•Moderation, mediation, and moderated mediation analysis

•Applied statistical analysis for cross-sectional and panel data (covariance structure modeling, growth curve modeling, survival analysis, generalized linear models)

•Econometric applications (2SLS, 3SLS, systems of equations)

•Studying growth/decline/stability of supply chain phenomena

•Using psychometric techniques to scale and score supply chain constructs from secondary data

  • Jane K. Fenyo Best Paper Award (2012): <div>Best conference paper for student research at the 41st Academy of Marketing Science Annual Conference. Matt Schwieterman was the co-recipient. </div>
  • Bernard J. La Londe Best Paper Award (2013): Awarded for the best manuscript published in Journal of Business Logistics in 2013. Co-recipients are John P. Saldanha, C. Shane Hunt, and John Mello.
  • CSCMP Doctoral Dissertation Award (2015): Best doctoral dissertation as voted on by an academic and industry panel.
  • E. Grosvenor Plowman Award (2016): Awarded for the best conference paper at the CSCMP annual conference.


  • Miller, J. W., Saldanha, J. P., Rungtusanatham, M., & Knemeyer, A. M. FORTHCOMING. How Does Driver Turnover Affect Motor Carrier Safety Performance and What Can Managers Do About It? Journal of Business Logistics.
  • Miller, J. W., Fugate, B., & Golicic, S. IN PRESS. How Organizations Respond to Information Disclosure: Testing Alternative Longitudinal Performance Trajectories. Academy of Management Journal.
  • Miller, J. W., Golicic, S., & Fugate, B. FORTHCOMING. Developing and Testing a Dynamic Theory of Motor Carrier Safety? Journal of Business Logistics.
  • Miller, J. W., & Saldanha, J. P. 2016. A New Look at the Relationship between Financial Performance and Safety: A Longitudinal Growth Perspective. Journal of Business Logistics 37(3): 284–306.
  • Schwieterman, M. A., Miller, J. W. (2016). Factor Market Rivalry: Towards an Integrated Understanding of Firm Action. Transportation Journal. 55(2): 97–123.
  • Mellat-Parast, M., Golmohammadi, D., McFadden, K., Miller, J. W. (2015). Linking Business Strategy to Service Failures and Financial Performance: Empirical Evidence from the US Domestic Airline Industry. Journal of Operations Management. 38(1): 14–24.
  • Fawcett, S. E., Waller, M. A., Miller, J. W., Schwieterman, M. A., Hazen, B. T., & Overstreet, R. E. (2014). A Trail Guide to Publishing Success: Tips on Writing Influential Conceptual, Qualitative, and Survey Research. Journal of Business Logistics. 35(1): 1–16.
  • Stromeyer, W. R., Miller, J. W., Murthy, R., & DeMartino, R. (2015). The Prowess and Pitfalls of Bayesian Structural Equation Modeling: Important Considerations for Management Research. Journal of Management. 41(2): 491–520.
  • Rungtusanatham, M. J., Miller, J. W., & Boyer, K. K. (2014). Theorizing, Testing, and Concluding for Mediation in SCM Research: What to Do, What Not to Do. Journal of Operations Management. 32(3): 99–113.
  • Saldanha, J. P., Miller, J. W., Hunt, C. S. & Mello, J. E. (2014). Linking Formal Controls to Motor Carrier Performance: Curvilinear and Interaction Effects. Transportation Research Part E. 64(1): 28–47.
  • Miller, J. W., Stromeyer, W. R., & Schwieterman, M. A. (2013). Extensions of the Johnson-Neyman Technique to Linear Models with Curvilinear Effects: Derivations and Analytical Tools. Multivariate Behavioral Research. 48(2): 267-300.
  •   Miller, J. W., Saldanha, J. P., Hunt, S., & Mello, J. E. (2013). Combining Formal Controls to Improve Firm Performance. Journal of Business Logistics. 34(4): 301–318.
  • Goldsby, T. J., Knemeyer, A. M., Miller, J. W., & Wallenburg, C. M. (2013). Measurement and Moderation: Finding the Boundary Conditions in Logistics and Supply Chain Research. Journal of Business Logistics. 34(2): 109–116.
  • Davis-Sramek, B., Fugate, B. S, Miller, J. W, Germain, R., Izyumov, A., & Krotov, K. Forthcoming. Understanding the Present by Examining the Past: Imprinting Effects on Supply Chain Outsourcing in a Transition Economy. Journal of Supply Chain Management.
  • Miller, J. W. Forthcoming. A Multivariate Time Series Analysis of Motor Carrier Safety Behaviors. Journal of Business Logistics.
  • SCM 470: Supply Chain Policy Analysis

Eli Broad College of Business

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