Applying Text Mining to Analyze the Performance of PBOs on the Basis of Their Obligatory Annual Activity Statements
Applying Text Mining to Analyze the Performance of PBOs on the Basis of Their Obligatory Annual Activity Statements

Summary/Abstract: The paper’s aims is to investigate if the level of detail and selection of particular performance-related information by public benefit organizations (PBOs) in their obligatory annual activity statements can stimulate individual donations. The research encompassed 177 randomly selected Polish PBOs. It applied text mining methodologies and a laboratory experiment. The results obtained allowed the identification of nine key groups of topics that PBOs focus on the narrative parts of their obligatory annual activity statements. Moreover, it was proven that organizations that potential donors would like to support with their 1% tax write-off discuss their performance in more detail and focus on slightly different issues than other organizations.

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