Category: Future-oriented technology analysis

  • International Collaboration Patterns and Effecting Factors of Emerging Technologies

    With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we…

  • Anticipating Future Pathways of Science, Technologies, and Innovations: (Map of Science)2 Approach

    Anticipating future pathways of Science, Technologies, and Innovations is a complex task in any R&D field and is even more challenging for the complex landscape of promising R&D directions in multiple fields. As a solution, this study analyzes research papers in Scientometrics and Technology mining. It presents an approach and text mining tools for building…

  • Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis

    Because of the flexibility and complexity of Newly Emerging Science and Technologies (NESTs), traditional statistical analysis fails to capture technology evolution in detail. Tracking technology evolution pathways supports industrial, governmental, and academic decisions to guide future development trends. Patents are one of the most important NESTs data sources and are pertinent to developmental paths. This…

  • Nano-enabled Drug Delivery in Cancer Therapy: Literature Analysis Using the MeSH System

    Biomedical literature provides abundant knowledge on R&D development and emerging themes and techniques to researchers and to enhance clinical treatment. Tracing research topic activity and researcher connections, and understanding evolving research landscapes, supports identification of research domain potential and informs R&D portfolio management. Methods: We offer a systematic approach to summarize biomedical research information compiled…

  • 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…

  • Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research

    Highlights Data-driven clustering approach to group topics with high accuracy Similarity measure approach to trace the interaction between topics in time series Analyzing changes of TFIDF values of related topics to predict future trends Technology Roadmapping to blend historical analysis and expert-based forecasting The number and extent of current Science, Technology & Innovation topics are…

  • Semantic-Based Technology Trend Analysis

    Technology trend analysis offers a flexible instrument to understand both opportunity and competition for emerging technologies. Semantic information is used in Science, Technology & Innovation (ST&I) records which makes the technology trend analysis more challenging. This paper proposes a semantic-based approach for technology trend analysis through emphasizing Subject-Action-Object (SAO) structure, It also applies the trend…