Product deletion as an operational strategic decision: Exploring the sequential effect of prominent criteria on decisionmaking Abstract   Myopic financial perspectives dominate product deletion decisions when such decisions require a balance of shortterm and longterm considerations. This paper extends the limited studies of product deletion to explore supply chain operational, competitive and sustainability criteria within a broader organizational and interorganizational context. The analysis uses inputs from a FastMoving Consumer Goods (FMCG) company where the product deletion decisions are imperative. The fuzzy DecisionMaking Trial and Evaluation Laboratory (DEMATEL) is applied to construct a network of effectual interrelationships among product deletion decision criteria based on which the most influential criteria are identified. The DEMATEL method is then extended to explore the sequential effect of the decision criteria on product deletion decisions. The study shows that product revitalization probability increases if there is a focus on improving the product condition in terms of prominent criteria. On this basis, the findings suggest that competitive criteria play a significant role in product deletion decisionmaking. Some supply chain operational and sustainability criteria also make a difference, especially when considering their sequential effect on financial performance. This study is concluded with offering directions for more dynamic and deeper research into modeling and managing product deletion in organizations. Applications of the presented tool are worthwhile research topics to pursue in other managerial fields.

Decision Bias in the Newsvendor Problem: On the Comparison of Managers and Students as Newsvendors with Decision Support System as Debiasing Strategy A growing number of studies in the newsvendor problem provided evidence that subjectsu0027 ordering behavior deviates from the optimal order quantity. Furthermore, almost all existing studies only engage students as subjects, and it leaves an essential question of whether the insights of those studies can be applied in real business practices. In this empirical study, we experimented with investigating decision biases in the newsvendor setting and presenting a structured comparison of the order decisions made by managers and students. We also proposed a Decision Support System as a debiasing strategy to prevent the order decision bias. To provide a piece of evidence about the effectiveness of the proposed DSS, we experimented with comparing the ordering behavior, before and after DSS implementation. This study found that both managers and students showed demand chasing bias, but the magnitude of the bias differed significantly. This study also showed that an informational DSS generally improved inventory decisionmaking performance in terms of adjustment behavior and longterm profitability.