Measuring demand uncertainty is a key activity in supply chain planning. Of various methods of estimating the standard deviation of demand, one that has been employed successfully in the recent literature uses dispersion among experts’ forecasts. However, there has been limited empirical validation of this methodology. In this paper we provide a general methodology for estimating the standard d...

Reproduction in whole or in part is permitted for any purpose of the United States Government. This document has been approved for public release atd sale; its distribution is unlimited.

Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach simplify the decision-making process of restaurant managers by combining both live social media feedback historical sales data in a forecast model (based on TripAdvisor Bass model). Our was validated internal external (i.e., online revi...

the main purpose of the present research is to determine the relationship between the management earnings forecast errors and conservatism level and then surveying about the effects of forecast difficulty, and external financing on this relationship. regarding this, the financial information related to 147 stock firms, available during the period of study (2003-2015) were collected and analyzed...

Sales forecasting is important in production and supply chain management. It affects firms’ planning, strategy, marketing, logistics, warehousing resource While traditional time series methods prevail research practice, they have several limitations. Causal are capable of predicting future sales behavior based on relationships between variables not just past trends. This proposes a framework fo...

Before 1960, little empirical research was done on forecasting methods. Since then, the literature has grown rapidly, especially in the area of judgmental forecasting. This research supports and adds to the forecasting guidelines proposed before 1960, such as the value of combining forecasts. New findings have led to significant gains in our ability to forecast and to help people to use forecas...

Before 1960, little empirical research was done on forecasting methods. Since then, the literature has grown rapidly, especially in the area of judgmental forecasting. This research supports and adds to the forecasting guidelines proposed before 1960, such as the value of combining forecasts. New findings have led to significant gains in our ability to forecast and to help people to use forecas...

Demand forecasting is a complicated task due to incomplete data and unpredictability. Accurate demand has direct impact on the performance of company. The goal study present new two-stage combination model named Hybrid-2-Best, for accurate forecasting. combines three models in single combined forecast. Hybrid-2-Best uses algorithm achieve better-performing forecasts. Case showed that proposed p...

this study empirically examines whether managers manipulate reported income through the timing of sales of long-lived assets and investments. several empirical implications of the income-smoothing and debt-equity hypothesis in the context of asset sales were tested. the findings are consistent with the timing of asset sales by managers so that the recognized accounting income from these sales s...

We apply Slow Feature Analysis (SFA) to image sequences generated from natural images using a range of spatial transformations. An analysis of the resulting receptive fields shows that they have a rich spectrum of invariances and share many properties with complex and hypercomplex cells of the primary visual cortex. Furthermore, the dependence of the solutions on the statistics of the transform...