In a competitive business environment, an early understanding of the dynamics of technological change is crucial to help policymakers and managers make better-informed decisions. An analysis of the interconnected dynamics of technology change warrants new approaches for identifying technology emergence, technological substitution, and the influences of vital socioeconomic forces. The recent paper, "Combining tech mining and semantic TRIZ for technology assessment: Dye-sensitized solar cell" , introduces a unique combination that applies a tech mining and semantic TRIZ as a case study to Dye-Sensitized Solar Cell (DSSC) technology. This methodological combination brings broader insights to the emergence of DSSC in conjunction with related technologies that affect its progress, enriching the associated technological progression’s empirical characterization.
In the recent paper, Technology Roadmapping Using Text Mining: A Foresight Study for the Retail Industry, S. Ozcan, A. Homayounfard, et. al., apply an integrated roadmapping method (text mining and an expert review)
to offer a foresight for future technologies in the retailing industry. Results show clear directions for the future of emerging technologies, as the industry moves towards unmanned retail operations. Among several points of use in the process, VantagePoint generated eight clusters of technologies and integrate them into a roadmapping model, illustrating their links to the market and business requirements. The study has a number of implications and identifies potential bottlenecks between the integration of front and backend solutions for the future of unmanned retailing.
The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. In the paper "Tracking and Mining the COVID-19 Research Literature" this research is profiled to help make that knowledge more accessible via overviews and novel categorizations. Porter et. al. provide websites offering means for researchers to probe more deeply to address specific questions. The authors further probe and reassemble COVID-19 topical content to address research issues concerning topical evolution and emphases on tactical vs. strategic approaches to mitigate this pandemic and reduce future viral threats. Data suggest that heightened attention to strategic, immunological factors is warranted. Connecting with, and transferring in, research knowledge from outside the COVID-19 domain demands a viable COVID-19 knowledge model. This study provides complementary topical categorizations to facilitate such modeling to inform future Literature-Based Discovery (LBD) endeavors.
The VP Institute is pleased to co-sponsor the 11th Global TechMining Conference along with the Institute of Project Management and Innovation (IPMI)at University of Bremen and the Chair for Technology, Innovation Management and Entrepreneurship at the University of Bonn as a wholly virtual event, accessible to all members of our global community.
GTM2021 seeks to bring together ST&I analysts, software specialists, researchers, and managers to advance text-data-driven solutions. Submissions for oral presentations now being accepted through July 31, 2021.