A Cluster Analysis for Research on Digital Transformation in Nonprofit Organisations

Michele Cipriano*, Stefano Za

*Corresponding author

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Scholars widely debate digital transformation (DT) initiatives considering multiple aspects and different business sectors, as well as examining implications for individuals and organisations. However, few of them discuss similar issues focusing specifically on non-profit organisations (NPOs). The interest in investigating DT in NPOs derives from how NPOs strive to reach their objectives, which often they differ significantly from those of public and for-profit firms. This research is built on a taxonomy of papers resulting from the analysis and review of the literature strictly discussing DT in NPOs. In order to map the state of the art, we perform a cluster analysis of that classification. This study contributes to the DT debate describing the distinctive traits of DT initiatives in NPOs and their correlations. Moreover, the results could be useful for NPOs managers and policymakers in supporting their decisions in designing and implementing DT initiatives.
Original languageEnglish
Title of host publicationECIS 2022 Proceedings
Pages1-12
Number of pages12
Publication statusPublished - 2022
EventThirtieth European Conference on Information Systems - Timisoara
Duration: 18 Jun 202224 Jun 2022

Conference

ConferenceThirtieth European Conference on Information Systems
CityTimisoara
Period18/6/2224/6/22

Keywords

  • Digital Transformation, Non-profit Organisations, Multiple Correspondence Analysis (MCA), Hierarchical Clustering on Principal Components (HCPC)

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