Category: Future-oriented technology analysis

  • Anticipating Future Innovation Pathways through Large Data Analytics

    Tech Mining is a special form of large data analytics that extracts useful intelligence from search results on a target topic or organization downloaded from global Science, Technology & Innovation (ST&I) databases. This book presents 18 chapters covering advances in analytical frameworks, text anlaytic methods to treat ST&I data effectively, informative indicators and compelling visualizations,…

  • A methodology for technology trend monitoring: the case of semantic technologies

    This paper introduces a systematic technology trend monitoring (TTM) methodology based on an analysis of bibliometric data. Among the key premises for developing a methodology are: (1) the increasing number of data sources addressing different phases of the STI development, and thus requiring a more holistic and integrated analysis; (2) the need for more customized…

  • S-Curve analysis and technology life cycle. Application in series of data of articles and patents

    In this article, the methodology of curves in S is applied in series of data on articles in Biotechnology and Nanotechnology since 1956 obtained from the ISI Web of Science and of patents since 1962 (year of priority) and 1970 (year of publication). Belonging to controlled release, of the medical context, the data was obtained…

  • Subject–action–object-based morphology analysis for determining the direction of technological change

    Morphology analysis, despite being a strong stimulus for the development of new alternatives, largely relies on domain experts and neglects the relationships between keywords in the construction of morphological structures. In addition, there are few systematic approaches to prioritize the morphological configurations. To address these issues, a hybrid approach is proposed, which enhances the performance…