The impact of resource constraints on the adoption of data analytics technologies within not-for-profit organisations

In the digital transformation era, commercial organisations are using the digital footprints captured in their systems to analyse consumer behaviours to provide personalised services and gain competitive advantage. Such data analytics practices have only been made possible due to advancements of technologies to capture, store, and analyse big data. Nevertheless, small and medium enterprises are lagging their larger counterparts in digital transformation. Some of the reasons are due to lack of financial resources, knowledges, and skills. Further down the value chain are the not-for-profit organisations, who are facing more severe shortages of resources, yet their influences are becoming more significant as they are consuming more national resources. In addition, it requires different strategies to implement digital transformation and data analytics within not-for-profit organisation, as compared to their commercial counterparts. This article uses a case study approach to investigate the challenges that not-for-profit organisations are facing in Singapore, in the context of data analytics technologies adoption. In particular, this study focuses on resource constraints within such organisations. The knowledge gained from this research is expected to assist not-for-profit organisations in kick-start their data analytics strategies.