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scenario planning, as an environmental forecasting technique. Furthermore, we analyse the contribution of knowledge based …
Persistent link: https://www.econbiz.de/10014722016
is considered a dominant prediction model which is heavily used in forecasting in spite of the difficulties related to …
Persistent link: https://www.econbiz.de/10012042740
A method is developed for evaluating forecasting models with respect to both error and complexity in forecasting …. Several types of forecasting accuracy measures (MSE, MPE, MAPE, Theil′s U‐Statistic and a loss cost function) are examined and … the approach is illustrated using short‐term forecasting methods, and weekly and four‐weekly data. The approach can …
Persistent link: https://www.econbiz.de/10014790256
The moving median method is suggested as an alternative for short‐term forecasting under some of the standard normal … evaluating forecasting accuracy, the moving average technique is superior to the moving median technique only for time series …
Persistent link: https://www.econbiz.de/10014790267
Applies time‐series forecasting, a traditional operations analysis methodology, to develop a forecasting procedure and … time‐series forecasting and decision theory developed by operations and applied in an actual industrial situation can … become a powerful marketing technique. Provides further insights into evaluating forecasting models and ordering policies …
Persistent link: https://www.econbiz.de/10014790346
One of the most basic pieces of information useful to hospitality operations is gross sales, and the ability to forecast them is strategically important. These forecasts could provide powerful information to cut costs, increase efficient use of resources, and improve the ability to compete in a...
Persistent link: https://www.econbiz.de/10014762577
Purpose – The purpose of this paper is to consider the issue of forecasting hotel room rate with data from 2004 onwards … and the forecast horizons of 91 observations. Design/methodology/approach – This study employs a set of time series data … (ARIMA) forecasting model. Findings – Through the employment of 74 percent observations, with 26 percent withhold for …
Persistent link: https://www.econbiz.de/10014813879
disciplines within organizations, reliance on family‐based forecasting is increasing. The family‐based approach, sometimes … referred to as hierarchical forecasting (HF), is based on a strategy of aggregating items into families. HF systems are capable … performance and a reduction in the overall forecasting burden. To date, several studies have offered practical guidelines for the …
Persistent link: https://www.econbiz.de/10014823633
and Indian rupees in US terms. Design/methodology/approach This study applies different combinations of GARCH and EGARCH … forecasting exchange rate after measuring the extent of volatility. The present study is a unique contribution in the existing …
Persistent link: https://www.econbiz.de/10014881760
Knowledge is one of the fundamental cognitive objects in the brain among those of data, information, and intelligence. Knowledge can be classified into two main categories, i.e., conceptual knowledge for knowing to-be and behavioral knowledge for knowing to-do, particularly the former. This...
Persistent link: https://www.econbiz.de/10012043664