A Systematic Review and Taxonomy of Data Analytics in Non-profit Organizations

Alsoibi, I; Agarwal, R; Bharathy, G; Samarawickrama, M; Unhelkar, B; Prasad, M

A Systematic Review and Taxonomy of Data Analytics in Non-profit Organizations

Alsoibi, I Agarwal, R

Bharathy, G Samarawickrama, M Unhelkar, B Prasad, M

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Publisher:: e-article
Publication Type:: Journal Article
Citation:: Asia Pacific Journal of Information Systems (APJIS), 2023, 33, (1), pp. 33-68
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Alsoibi, I
dc.contributor.author	Agarwal, R https://orcid.org/0000-0002-8493-7313
dc.contributor.author	Bharathy, G
dc.contributor.author	Samarawickrama, M
dc.contributor.author	Unhelkar, B
dc.contributor.author	Prasad, M
dc.date.accessioned	2023-04-17T05:01:00Z
dc.date.available	2023-04-05
dc.date.available	2023-04-17T05:01:00Z
dc.date.issued	2023
dc.identifier.citation	Asia Pacific Journal of Information Systems (APJIS), 2023, 33, (1), pp. 33-68
dc.identifier.issn	2288-5404
dc.identifier.uri	http://hdl.handle.net/10453/169856
dc.description.abstract	Nonprofit organisations (NPOs) use data analytics and corresponding visualisations to discover and interpret patterns of donations and donor behaviours, predict future funds, and analyse time series to undertake decisions and resolve issues. Further detailed understanding of these activities in the context of NPOs is required for efficient and effective utilisation of data analytics. This article reports a systematic review of available literature on data analytics applications in NPOs to answer three research questions: (1) What are the proposed approaches and frameworks for adopting and applying data analytics in NPOs? (2) What aspects of data analytics are used for NPO activities and missions? (3) What challenges and barriers face NPOs regarding the adoption and application of data analytics for their missions? We answered the three research questions by collecting and examining data and using it to develop a new taxonomy. The results show the utilisation of data analytics applications by NPOs has not been examined in depth, indicating the need for further research. This study contributes to the literature by providing insights on the existing use of data analytics applications in various domains, and their benefits and drawbacks for NPOs. This study also presents future research directions.
dc.language	en
dc.publisher	e-article
dc.relation.ispartof	Asia Pacific Journal of Information Systems (APJIS)
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0806 Information Systems
dc.title	A Systematic Review and Taxonomy of Data Analytics in Non-profit Organizations
dc.type	Journal Article
utslib.citation.volume	33
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2023-04-17T05:00:58Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	33
utslib.citation.issue	1

Abstract:

Nonprofit organisations (NPOs) use data analytics and corresponding visualisations to discover and interpret patterns of donations and donor behaviours, predict future funds, and analyse time series to undertake decisions and resolve issues. Further detailed understanding of these activities in the context of NPOs is required for efficient and effective utilisation of data analytics. This article reports a systematic review of available literature on data analytics applications in NPOs to answer three research questions: (1) What are the proposed approaches and frameworks for adopting and applying data analytics in NPOs? (2) What aspects of data analytics are used for NPO activities and missions? (3) What challenges and barriers face NPOs regarding the adoption and application of data analytics for their missions? We answered the three research questions by collecting and examining data and using it to develop a new taxonomy. The results show the utilisation of data analytics applications by NPOs has not been examined in depth, indicating the need for further research. This study contributes to the literature by providing insights on the existing use of data analytics applications in various domains, and their benefits and drawbacks for NPOs. This study also presents future research directions.

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http://hdl.handle.net/10453/169856