Operations management research methodologies using quantitative modeling

By J. Bertrand, Jan C. Fransoo. 2002

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ARIMA: An Applied Time Series Forecasting Model for the Bovespa Stock Index (2014, background): “According to Bertrand and Fransoo [14], this investigation can be classified as applied, having a descriptive empirical goal, since the researchers are interested in creating a model that adequately describes the causal relationships which may exist in reality, leading to the understanding of the cu”
Quantitative models for sustainable supply chain management: Developments and directions (2014, background): “…and related research differentiates between conceptual models defined as a set of concepts suitable to represent but not explain real-life objects or processes and quantitative models that are based on a set of variables and their causal relationship (Bertrand & Fransoo, 2002; Meredith, 1993).”
Quality, safety and sustainability in food distribution: a review of quantitative operations management approaches and challenges (2010, background): “The models developed in this type of research can both explain (part of) the behaviour of reallife operational processes and capture (part of) the decision-making problems that are faced by managers in real-life operational processes, thereby aiming to support decision-making on design, planning, co”