Opportunities for active stock-out management in online stores: The impact of the stock-out policy on online stock-out reactions

Opportunities for active stock-out management in online stores: The impact of the stock-out policy on online stock-out reactions

a Faculty of Economics and Business Administration, Department of Marketing, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands b Faculty of Economics and Applied Economics, Department of Marketing, Catholic University Leuven, Naamsestraat 69, 3000 Leuven, Belgium c Faculty of Economics and Business Administration, Department of Marketing, University of Tilburg, P.O. Box 9...

Nonlinear Model Improves Stock Return Out of Sample Forecasting (Case Study: United State Stock Market)

Improving out-of-sample forecasting is one of the main issues in financial research. Previous studies have achieved this objective by increasing the number of input variables or changing the kind of input variables. Changing the forecasting model is another possible approach to improve out-of-sample forecasting. Most researches have focused on linear models, while few have studied nonlinear mod...

Stock-out Prediction in Multi-echelon Networks

In multi-echelon inventory systems the performance of a given node is affected by events that occur at many other nodes and in many other time periods. For example, a supply disruption upstream will have an effect on downstream, customer-facing nodes several periods later as the disruption "cascades" through the system. There is very little research on stock-out prediction in single-echelon sys...

Retail Out-Of-StOck ManageMent: an OutcOMe-BaSed appROach

Determination of Drivers of Stock-Out Performance of Retail Stores using Data Mining Techniques

This research applies data mining techniques to give a picture of the interaction of performance variables such as between stock-outs and store attributes, and stock-outs and other variables including store sales, income and demographic data, as well as various aspects of inventory management data. This research uses three data mining techniques: multiple ordinary-least-squares (OLS) regression...