Operations management research methodologies using quantitative modeling

TLDR

The paper distinguishes empirical from axiomatic research and descriptive from normative research, building on decades of operations research and related disciplines. The study aims to provide an overview and guidelines for quantitative model‑based research in operations management. The authors outline a quantitative model‑based research methodology, detailing steps for constructing and applying models in operations management. The authors conclude that quantitative model‑driven empirical research presents a valuable opportunity to advance operations management theory.

Abstract

Abstract Gives an overview of quantitative model‐based research in operations management, focusing on research methodology. Distinguishes between empirical and axiomatic research, and furthermore between descriptive and normative research. Presents guidelines for doing quantitative model‐based research in operations management. In constructing arguments, builds on learnings from operations research and operations management research from the past decades and on research from a selected number of other academic disciplines. Concludes that the methodology of quantitative model‐driven empirical research offers a great opportunity for operations management researchers to further advance theory.