Exact(1)
This paper accomplishes these two goals and demonstrates that: 1) managers of free and open source software projects do change the distribution rights of their source code through a change in the (group of) license(s) adopted; and 2) variations in attractiveness are associated with the strategic choice of a licensing schema.
Similar(7)
Overall, these statistical results and analysis on the variations of attractiveness taken together allow for a solid answer to the second research question posed here in this paper of whether an intellectual property intervention (a managerial change in licensing schema).
To initially explore the statistical associations of attractiveness and license, the ratios of mean attractiveness after/before interventions were computed, considering all projects of a given change in licensing schema (summarized in Table 5).
In this new dataset, each cell represents the attractiveness of a project in a specific month, broken by licensing schema with the various columns.
The classification adopted here takes that into account to obtain a more accurate however complex picture of projects licensing schema.
The results are presented in Table 6 below, which considers if the mean difference is significant at 0.05 type I error with the Bonferroni correction procedure applied (marked with *), and the effect size of each pair of licensing schema based on Cohen's D7 (marked with a).
Table 4 Descriptive statistics for mean comparisons by licensing schema Sample size Minimum Maximum Mean Std.
This signals that the licensing schema is indeed associated with the average numbers of web hits, downloads and members a project can attract.
Related(1)
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