Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.author Yun, Jinhyo Joseph -
dc.contributor.author Kim, Bong hwan -
dc.contributor.author Zhao, Xiaofei -
dc.contributor.author Jeong, Euiseob -
dc.contributor.author Ahn, Joonggi -
dc.date.accessioned 2024-06-18T12:10:13Z -
dc.date.available 2024-06-18T12:10:13Z -
dc.date.created 2024-05-17 -
dc.date.issued 2024-06 -
dc.identifier.issn 0971-7218 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/56653 -
dc.description.abstract The study aims to explore how to measure firms’ open innovation from financial statements. So, our research question is as follows: How can we determine firms’ open innovation signals directly or indirectly from financial statements? This study used data from the US financial statements and patent registration database from 2016 to 2018 to answer this research question. Three manifest signals of open innovation in financial data were found. First, subsidiary or related firm investment in financial data may have a negative relationship with open innovation because open innovation (i.e., the co-application of patents) could decrease subsidiary or related firm investment. But there are differences between the top and bottom twenty firms. Second, internal R&D investment (I R&D) in financial data may have a positive relationship with open innovation because I R&D could trigger inward open innovation. If I R&D combines with an open innovation strategy, it increases the size of subsidiary or related firm investment as a kind of inward open innovation. Third, free cash flow (FCF) in financial data may have a positive relationship with open innovation because high FCF could support outward open innovation. © 2024 SAGE Publications. -
dc.language English -
dc.publisher SAGE Publications -
dc.title Open Innovation Signals: Exploring the Financial Data with Patents -
dc.type Article -
dc.identifier.doi 10.1177/09717218241238202 -
dc.identifier.wosid 001214501000001 -
dc.identifier.scopusid 2-s2.0-85192258247 -
dc.identifier.bibliographicCitation Science, Technology and Society, v.29, no.2, pp.199 - 223 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor Open innovation financial data internal R&D investment free cash flow subsidiary or related firm investments -
dc.subject.keywordPlus PERFORMANCE -
dc.subject.keywordPlus RESEARCH-AND-DEVELOPMENT -
dc.subject.keywordPlus CASH FLOW HYPOTHESIS -
dc.subject.keywordPlus ADOPTION -
dc.subject.keywordPlus CONTEXT -
dc.subject.keywordPlus STRATEGIES -
dc.citation.endPage 223 -
dc.citation.number 2 -
dc.citation.startPage 199 -
dc.citation.title Science, Technology and Society -
dc.citation.volume 29 -
dc.description.journalRegisteredClass ssci -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Business & Economics -
dc.relation.journalWebOfScienceCategory Management -
dc.type.docType Article -
Files in This Item:
001214501000001.pdf

001214501000001.pdf

기타 데이터 / 2.86 MB / Adobe PDF download
Appears in Collections:
Division of AI, Big data and Block chain 1. Journal Articles

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE