Estimating technology performance improvement rates by mining patent data
Open Access
- 8 June 2020
- journal article
- research article
- Published by Elsevier BV in Technological Forecasting and Social Change
- Vol. 158, 120100
- https://doi.org/10.1016/j.techfore.2020.120100
Abstract
No abstract availableKeywords
This publication has 49 references indexed in Scilit:
- Statistical Basis for Predicting Technological ProgressPLOS ONE, 2013
- An emerging paradigm or just another trajectory? Understanding the nature of technological changes using engineering heuristics in the telecommunications switching industryResearch Policy, 2012
- Role of design complexity in technology improvementProceedings of the National Academy of Sciences of the United States of America, 2011
- Technology S-curves in renewable energy alternatives: Analysis and implications for industry and governmentEnergy Policy, 2009
- Mapping technological trajectories as patent citation networks. An application to data communication standardsEconomics of Innovation and New Technology, 2009
- The value of European patentsEuropean Management Review, 2008
- Allocation of inventive effort in complex product systemsStrategic Management Journal, 2007
- Technological innovation and complexity theoryEconomics of Innovation and New Technology, 2006
- Linear Model Selection by Cross-validationJournal of the American Statistical Association, 1993
- EXPLORING THE LIMITS OF THE TECHNOLOGY S‐CURVE. PART II: ARCHITECTURAL TECHNOLOGIESProduction and Operations Management, 1992