Barczak, Gloria; Hopp, Christian; Kaminski, Jermain; Piller, Frank; Pruschak, Gernot (2021). How open is innovation research? – An empirical analysis of data sharing among innovation scholars Industry and Innovation, 29(2), pp. 186-218. Taylor & Francis 10.1080/13662716.2021.1967727
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How open is innovation research An empirical analysis of data sharing among innovation scholars.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND). Download (1MB) | Preview |
We investigate what fosters or inhibits data sharing behaviour in a sample of 173 innovation management researchers. Theoretically, we integrate resource-based arguments with social exchange considerations to juxtapose the trade-off between data as a proprietary resource for researchers and the benefits that reciprocity in academic relations may provide. Our empirical analysis reveals that the stronger scholars perceive the comparative advantage of non-public datasets, the lower the likelihood of data sharing. Expected communal benefits may increase the likelihood of data sharing, while negative perceptions of increased data scrutiny are consequential in inhibiting data sharing. Only institutional pressure may help to solve this conundrum; most respondents would therefore like to see journal policies that foster data sharing.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
Business School > Institute for Applied Data Science & Finance Business School > Institute for Applied Data Science & Finance > Applied Data Science Business School |
Name: |
Barczak, Gloria; Hopp, Christian0000-0002-4095-092X; Kaminski, Jermain; Piller, Frank and Pruschak, Gernot |
Subjects: |
H Social Sciences > H Social Sciences (General) H Social Sciences > HA Statistics |
ISSN: |
1366-2716 |
Publisher: |
Taylor & Francis |
Language: |
English |
Submitter: |
Christian Hopp |
Date Deposited: |
01 Dec 2021 12:07 |
Last Modified: |
02 Oct 2022 01:35 |
Publisher DOI: |
10.1080/13662716.2021.1967727 |
ARBOR DOI: |
10.24451/arbor.15832 |
URI: |
https://arbor.bfh.ch/id/eprint/15832 |