The barriers and prospects related to big data analytics implementation in public institutions: a systematic review analysis

Undoubtedly, one of the primary drivers of digitization is big data analytics (BDA) [1].Vast volumes of big data are frequently generated, often in real-time [2].As Lampropoulos [3] explains, BDA plays a crucial role as the technological foundation for numerous cutting-edge advancements and technologies, including the Internet of Things (IoT), artificial intelligence (AI), autonomous driving (AD), and many others. *Author for correspondenceTo enhance the citizen experience and boost institutional performance, public institutions are actively seeking suitable technologies to streamline their resources [4,5].One technology that has demonstrated a significant impact on the operations of public institutions, including decision support and healthcare improvement, is BDA [6,7].As new challenges emerge in the analysis, storage, sharing, transportation, and processing of massive datasets across public organizations, the concept of BDA is evolving.Factors such as digitalization, the widespread use of social media networks, and the proliferation of smart devices are contributing to the growth of these massive datasets (Pramanik and Bandyopadhyay [8], Supriyadi et al. [9]).However,