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How open is innovation research? – An empirical analysis of data sharing among innovation scholars
Industry and Innovation ( IF 3.4 ) Pub Date : 2021-08-29 , DOI: 10.1080/13662716.2021.1967727
Christian Hopp 1, 2 , Frank Piller 1 , Gernot Pruschak 1, 2, 3 , Gloria Barczak 4 , Jermain Kaminski 5
Affiliation  

ABSTRACT

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.



中文翻译:

创新研究有多开放?– 创新学者之间数据共享的实证分析

摘要

我们调查了 173 名创新管理研究人员样本中促进或抑制数据共享行为的因素。从理论上讲,我们将基于资源的论点与社会交换考虑相结合,将数据作为研究人员的专有资源与学术关系中的互惠可能提供的好处之间进行权衡。我们的实证分析表明,学者对非公开数据集的比较优势的感知越强,数据共享的可能性就越低。预期的公共利益可能会增加数据共享的可能性,而对增加数据审查的负面看法会阻碍数据共享。只有制度压力可能有助于解决这个难题;因此,大多数受访者希望看到促进数据共享的期刊政策。

更新日期:2021-08-29
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