1.         An examination of factors affecting accuracy in technology forecasts

2.         Application of semantic and lexical analysis to technology forecasting by trend analysis – thematic clusters in separation processes

3.         Brownian agent-based technology forecasting

4.         Business Forecasting Technique on Mobile Devices by Using R – Programming

5.         Choosing effective dates from multiple optima in Technology Forecasting using Data Envelopment Analysis (TFDEA)

6.         Comparison of Different Performance Measures of Complex Product Systems in Technology Forecasting

7.         Emerging technologiesbeyond the chasm: Assessing technological forecasting and its implication for innovation management in Korea

8.         Evaluation of deterministic state-of-the-art forecasting approaches for project duration based on earned value management

9.         Forecasting in telecommunications and ICT—A review

10.     Forecasting Innovation Pathways (FIP) for new and emerging science and technologies

11.     Forecasting support systems technologies-in-practice: A model of adoption and use for product forecasting

12.     Forecasting task-technology fit: The influence of individuals, systems and procedures on forecast performance

13.     Forecasting technological progress potential based on the complexity of product knowledge

14.     Forecasting technology diffusion with the Richards model

15.     Forecasting technology success based on patent data

16.     Forecasting the Technology Revolution: Results and learnings from the TechCast Project

17.     Innovation forecasting: A case study of the management of engineering and technology literature

18.     New technology trends in education: Seven years of forecasts and convergence

19.     Research Forecasting for Health Information Technology (HIT), using technology intelligence

20.     Technology trends analysis and forecasting application based on decision tree and statistical feature analysis

21.     The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach