One hundred and thirty-nine principles are used to summarize knowledge about forecasting. They cover formulating a problem, obtaining information about it, selecting and applying methods, evaluating methods, and using forecasts. Each principle is described along with its purpose, the conditions...

Statistical post-processing of ensemble predictions is usually adjusted to a particular lead time so that several models must be fitted to forecast multiple lead times. To increase the coherence between lead times, we propose to use standardized anomalies instead of direct observations and...

One hundred and thirty-nine principles are used to summarize knowledge about forecasting. They cover formulating a problem, obtaining information about it, selecting and applying methods, evaluating methods, and using forecasts. Each principle is described along with its purpose, the conditions...

The front end of innovation has earned the adjective ‘fuzzy,' particularly as it is considered unstructured, non-linear, and highly iterative (Khurana and Rosenthal 1998; Koen et al. 2001; Verworn et al. 2008). But this should not be misunderstood as a need to rely on hope or chance encounters to...

This paper attempts to identify and evaluate certain critical pitfalls in the planning stage of ERP adoption in Small and Medium Enterprises (SMEs) and develop into a model for evaluating the risk of failure. In the planning stage a set of risks have been identified based on past research work...