Details
| Original language | English |
|---|---|
| Title of host publication | International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive |
| Subtitle of host publication | Blending the Local and the Global |
| Publisher | Association for Information Systems |
| ISBN (electronic) | 9781733632553 |
| Publication status | Published - 2020 |
| Event | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India Duration: 13 Dec 2020 → 16 Dec 2020 |
Publication series
| Name | International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global |
|---|
Abstract
Acknowledging that valuable ideas can come both from inside and outside the organization, firms have turned to more open models of innovation. However, it remains difficult to measure firms' open innovation activities, particularly in a quantitative, longitudinal setting. This impedes an adequate assessment of open innovations' long-term implications for firms' financial performance. While researchers have devoted a considerable effort to examining the link between open innovation and innovative performance, the link to financial performance is unclear. In this study, we develop and validate a text-based measure for firms' open innovation activities, and probe related performance implications in a longitudinal, cross-industry setting. Combining machine-learning content analysis to create an open innovation dictionary, we analyze the 10-K annual reports of 9,100 publicly listed firms in the U.S. between 1994 and 2017. Our results support our theorizing that a nonlinear relationship takes an S-shape between open innovation and financial performance.
Keywords
- Content analysis, Open innovation, Performance, Text-based measure
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Decision Sciences(all)
- Statistics, Probability and Uncertainty
- Social Sciences(all)
- Library and Information Sciences
- Mathematics(all)
- Applied Mathematics
Cite this
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- BibTeX
- RIS
International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global. Association for Information Systems, 2020. (International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Measuring open innovation through textual analysis
T2 - 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
AU - Schäper, Thomas
AU - Jung, Christopher
AU - Foege, J. Nils
AU - Nüesch, Stephan
PY - 2020
Y1 - 2020
N2 - Acknowledging that valuable ideas can come both from inside and outside the organization, firms have turned to more open models of innovation. However, it remains difficult to measure firms' open innovation activities, particularly in a quantitative, longitudinal setting. This impedes an adequate assessment of open innovations' long-term implications for firms' financial performance. While researchers have devoted a considerable effort to examining the link between open innovation and innovative performance, the link to financial performance is unclear. In this study, we develop and validate a text-based measure for firms' open innovation activities, and probe related performance implications in a longitudinal, cross-industry setting. Combining machine-learning content analysis to create an open innovation dictionary, we analyze the 10-K annual reports of 9,100 publicly listed firms in the U.S. between 1994 and 2017. Our results support our theorizing that a nonlinear relationship takes an S-shape between open innovation and financial performance.
AB - Acknowledging that valuable ideas can come both from inside and outside the organization, firms have turned to more open models of innovation. However, it remains difficult to measure firms' open innovation activities, particularly in a quantitative, longitudinal setting. This impedes an adequate assessment of open innovations' long-term implications for firms' financial performance. While researchers have devoted a considerable effort to examining the link between open innovation and innovative performance, the link to financial performance is unclear. In this study, we develop and validate a text-based measure for firms' open innovation activities, and probe related performance implications in a longitudinal, cross-industry setting. Combining machine-learning content analysis to create an open innovation dictionary, we analyze the 10-K annual reports of 9,100 publicly listed firms in the U.S. between 1994 and 2017. Our results support our theorizing that a nonlinear relationship takes an S-shape between open innovation and financial performance.
KW - Content analysis
KW - Open innovation
KW - Performance
KW - Text-based measure
UR - http://www.scopus.com/inward/record.url?scp=85103463533&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85103463533
T3 - International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global
BT - International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive
PB - Association for Information Systems
Y2 - 13 December 2020 through 16 December 2020
ER -