Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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A Systematic Review and Taxonomy of Data Analytics in Nonprofit Organisations

  • Idrees Alsolbi (School of Computer Science, University of Technology Sydney, Australia & Umm Al-Qoura University) ;
  • Renu Agarwal (Business School, University of Technology Sydney) ;
  • Gnana Bharathy (School of Computer Science, University of Technology Sydney) ;
  • Mahendra Samarawickrama (Centre for Sustainable AI) ;
  • Bhuvan Unhelkar (College of Business, University of South Florida Sarasota-Manatee) ;
  • Mukesh Prasad (School of Computer Science, University of Technology Sydney)
  • Received : 2021.12.21
  • Accepted : 2022.10.18
  • Published : 2023.03.31
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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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References

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