Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods

Authors

Elizabeth Gibson, University of Colorado at BoulderFollow
Tugrul U. Daim, Portland State UniversityFollow
Edwin Garces, Portland State University
Marina Dabic, University of ZagrebFollow

Published In

Foresight and STI Governance

Document Type

Article

Publication Date

2018

Subjects

Technology assessment and management

Abstract

Foresight studies provide essential information used by the government, industry and academia for technology planning and knowledge expansion. They are complicated, resource-intensive, and quite expensive. The approach, methods, and techniques must be carefully identified and selected. Despite the global importance of foresight activities, there are no frameworks to help one develop and plan a proper foresight study. This paper begins Keywords: technology foresight; strategic foresight; adaptive foresight; Social Network Analysis (SNA); bibliometric tools; data mining; text mining. to close this gap by analyzing and comparing different schools of thought and updating the literature with the most current tools and methods. Data mining techniques are used to identify articles through an extensive literature review. Social Network Analysis (SNA) techniques are used to identify and analyze leading journals, articles, and researchers. A framework is developed here to provide a guide to help in the selection of methods and tools for different approaches.

Description

© 2018 by the author. Licensee MDPI, Basel, Switzerland.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Locate the Document

https://doi.org/10.17323/2500-2597.2018.1.6.24

DOI

10.17323/2500-2597.2018.1.6.24

Persistent Identifier

https://archives.pdx.edu/ds/psu/26582

Citation Details

Gibson, E., Daim, T., Garces, E., & Dabic, M. (2018). Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods. Форсайт, 12(1 (eng)).