𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Innovation forecasting using bibliometrics

✍ Scribed by Robert J. Watts; Alan L. Porter; Nils C. Newman


Publisher
John Wiley and Sons
Year
1998
Weight
181 KB
Volume
9
Category
Article
ISSN
1058-0247

No coin nor oath required. For personal study only.

✦ Synopsis


The emerging "Information Economy" has directed attention to the value of information in the business process. Business has responded by expanding such activities as competitive technical intelligence (CTI).

The combination of access to vast collections of information and CTI interests points attention to the need for new tools to process information into knowledge. We are experimenting with techniques to exploit in-11


πŸ“œ SIMILAR VOLUMES


Forecasting US employment growth using f
✍ David E. Rapach; Jack K. Strauss πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 157 KB

## Abstract We examine different approaches to forecasting monthly US employment growth in the presence of many potentially relevant predictors. We first generate simulated out‐of‐sample forecasts of US employment growth at multiple horizons using individual autoregressive distributed lag (ARDL) mo

Hypersonic and supersonic flow roadmaps
✍ Kostoff, R. N. ;Eberhart, Henry J. ;Toothman, Darrell Ray πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 257 KB

Database Tomography (DT) is a textual database analysis system consisting of two major components: 1) Algorithms for extracting multiword phrase frequencies and phrase proximities (physical closeness of the multiword technical phrases) from any type of large textual database, to augment 2) interpret

Forecasting using targeted diffusion ind
✍ Francisco Dias; Maximiano Pinheiro; AntΓ³nio Rua πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 113 KB

## Abstract The simplicity of the standard diffusion index model of Stock and Watson has certainly contributed to its success among practitioners, resulting in a growing body of literature on factor‐augmented forecasts. However, as pointed out by Bai and Ng, the ranked factors considered in the for

Nonlinear Forecasting Using Factor-Augme
✍ Bruno Cara Giovannetti πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 98 KB

## ABSTRACT Using factors in forecasting exercises reduces the dimensionality of the covariates set and, therefore, allows the forecaster to explore possible nonlinearities in the model. For an American macroeconomic dataset, I present evidence that the employment of nonlinear estimation methods ca