Shortcuts to award winning research: analogies from ‘shortcuts to innovation: the use of analogies in knowledge production’


Schmallenbach, Leo ; Biggi, Gianluca



DOI: https://doi.org/10.1080/13662716.2024.2420782
URL: https://www.tandfonline.com/doi/full/10.1080/13662...
Additional URL: https://www.researchgate.net/publication/385582875...
Document Type: Article
Year of publication: 2024
The title of a journal, publication series: Industry and Innovation
Volume: 31
Issue number: 9
Page range: 1093-1100
Place of publication: London [u.a.]
Publishing house: Taylor & Francis
ISSN: 1366-2716 , 1469-8390
Publication language: English
Institution: Business School > Organisation und Innovation (Hoisl 2015-)
Subject: 650 Management
Keywords (English): interview , knowledge production , knowledge transfer , analogical reasoning
Abstract: In this interview, we explore the innovative research that earned Soomi Kim the Best Paper Award at DRUID 2024. As a partner of DRUID, Industry and Innovation presents an exclusive view into the research journey behind Kim’s celebrated work. Her study ‘Shortcuts to Innovation: The Use of Analogies in Knowledge Production’ examines how innovators venture into uncharted territories, using analogies to transfer knowledge from related domains. Using structural biology as the empirical setting, her findings highlight both the advantages and limitations of employing analogy-based technologies, such as machine learning, to speed up discovery. In this conversation, Kim reveals the inspiration, challenges, and breakthroughs that defined her research, providing a unique perspective on the paths leading to her pioneering work. Just as her paper examines how analogical reasoning and its technological automation serve as shortcuts in knowledge production, this conversation offers a unique lens on the pathways that shape groundbreaking research.




Dieser Eintrag ist Teil der Universitätsbibliographie.




Metadata export


Citation


+ Search Authors in

BASE: Schmallenbach, Leo ; Biggi, Gianluca

Google Scholar: Schmallenbach, Leo ; Biggi, Gianluca

ORCID: Schmallenbach, Leo ORCID: 0000-0001-5302-2578 ; Biggi, Gianluca

+ Page Views

Hits per month over past year

Detailed information



You have found an error? Please let us know about your desired correction here: E-Mail


Actions (login required)

Show item Show item