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

Autor:	Tomasz Dyczkowski
Jazyk:	English<br />Polish
Rok vydání:	2016
Předmět:	performance text mining narrative information public benefit organizations Management. Industrial management HD28-70 Finance HG1-9999
Zdroj:	Problemy Zarządzania, Vol 14, Iss 4(63) t.1, Pp 123-138 (2016)
Druh dokumentu:	article
ISSN:	1644-9584 2300-8792
DOI:	10.7172/1644-9584.63.9
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/06a100ed4ca041dea04ae4c69833b0e8 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF