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Open Innovation Signals: Exploring the Financial Data with Patents

Title
Open Innovation Signals: Exploring the Financial Data with Patents
Author(s)
Yun, Jinhyo JosephKim, Bong hwanZhao, XiaofeiJeong, EuiseobAhn, Joonggi
Issued Date
2024-06
Citation
Science, Technology and Society, v.29, no.2, pp.199 - 223
Type
Article
Author Keywords
Open innovation financial data internal R&D investment free cash flow subsidiary or related firm investments
Keywords
PERFORMANCERESEARCH-AND-DEVELOPMENTCASH FLOW HYPOTHESISADOPTIONCONTEXTSTRATEGIES
ISSN
0971-7218
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.
URI
http://hdl.handle.net/20.500.11750/56653
DOI
10.1177/09717218241238202
Publisher
SAGE Publications
Related Researcher
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Appears in Collections:
Division of AI, Big data and Block chain 1. Journal Articles

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