Machine learning’s (ML’s) unique power to approximate functions and identify non-obvious regularities in data has attracted considerable attention from researchers in natural and social sciences. The emergence of predictive modeling applications in OM studies notwithstanding, it remains...

Despite numerous optimization techniques proposed to address inventory record inaccuracy (IRI), there continues to be a lack of empirical appreciation of IRI, nor do existing item-level inspection policies accommodate managerial needs for allocating inspection effort to groups of items. We...

Formal tools to link system dynamics model's structure to the system modes of behavior have recently become available. In this paper, we aim to expand the use of these tools to perform the model's policy analysis in a more structured and formal way than the exhaustive exploratory approaches used...

Oliva and Watson describe how organizational biases arise from the different incentives, agendas, and blind spots of the various functional areas of a business and how they compromise forecast accuracy and disrupt the supply chain process. They present a case study-the Leitax Corporation-of how...

Focusing on the special case of changes triggered by profound economic reforms in emerging economies, we suggest a new perspective from which to explore the relationship between environmental and organizational change. This research setting is used to explore and propose enhancements to existing...

This article lays out several hypotheses to establish a specific link between structural economic reforms and the competitive environment of firms. We test our hypotheses on data from the steel industry in three post-reform economies. We find that economic reforms tend to have a positive effect...