How open is innovation research? – An empirical analysis of data sharing among innovation scholars
调查了173位创新管理研究者的数据共享行为，发现学者认为非公开数据集有比较优势时会降低共享意愿，而预期公共收益和期刊政策压力能促进共享。
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 nonpublic 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.