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Authorship Productivity in the Knowledge Management Literature

机译:知识管理文献中的作者生产力

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A Lotka analysis was conducted of 14,149 references to knowledge management publications retrieved from a search of the ABI/Inform database. Results indicate that the sample of knowledge management publications conforms to the negative power distribution typical of Lotka analyses. Calculated Lotka constants were within expected parameters. A Kolmogorov-Smirnov test revealed no significant differences between observed and expected distributions. It is concluded that the knowledge management literature conforms to the principles of Lotka's Law. Analysis of author affiliations revealed that academics were prevalent among the most productive authors but that the top five authors in terms of productivity were practitioners.
机译:对从ABI / Inform数据库的搜索中检索的知识管理出版物进行了14,149引用的Lotka分析。 结果表明,知识管理出版物的样本符合典型的Lotka分析的负功率分布。 计算的Lotka常数在预期参数范围内。 Kolmogorov-Smirnov测试显示观察到和预期的分布之间没有显着差异。 得出结论,知识管理文献符合Lotka法律的原则。 作者隶属关系的分析显示,学者在最有生产力的作者中普遍存在,但前五个作者在生产力方面都是从业者。

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