Applications of Empirical Science in Manufacturing and Service Operations
This paper sets the stage for the special issue on the application of empirical science in operations management (OM). It highlights the contributions that empirical science can make to operations management research and practice. In particular, the role of theory building and testing as a motivation for OM empirical research is emphasized. The paper provides a brief history of the empirical tradition in OM and the scholars who were the early pioneers. The paper also gives a brief overview of the most widely used approaches to empirical research and concludes with a summary of the papers that are included in this volume.
Volume (Year): 9 (2007)
Issue (Month): 4 ()
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- Paul M. Swamidass & William T. Newell, 1987. "Manufacturing Strategy, Environmental Uncertainty and Performance: A Path Analytic Model," Management Science, INFORMS, vol. 33(4), pages 509-524, April.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-161, January.
- Aleda V. Roth & William E. Jackson, III, 1995. "Strategic Determinants of Service Quality and Performance: Evidence from the Banking Industry," Management Science, INFORMS, vol. 41(11), pages 1720-1733, November.
- Sunil Chopra & William Lovejoy & Candace Yano, 2004. "Five Decades of Operations Management and the Prospects Ahead," Management Science, INFORMS, vol. 50(1), pages 8-14, January.
- J. Myles Shaver, 1998. "Accounting for Endogeneity When Assessing Strategy Performance: Does Entry Mode Choice Affect FDI Survival?," Management Science, INFORMS, vol. 44(4), pages 571-585, April. Full references (including those not matched with items on IDEAS)
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