Unleashing Public Sector Innovation

Big data analytics (BDA) is fast revolutionizing circular economy being driven by the avalanche of data. In public governance, harnessing the value-driven opportunities of BDA has been challenging studied to improve resource allocation, decision-making, and openness and accountability but, with little attention in existing literature. Through the lens of the task technology fit theory, this study examines how big data analytics and value-driven capabilities improve public sector digital governance innovation and performance. The study leveraged PLS-SEM and collected data from 310 staff of public sectors institutions in Ghana. The study found that, task complexities, value-driven capabilities, data quality, organizational support and analytical literacy have significant impact on public sector innovation. this relationship is not however moderated by digital governance maturity. Moreover, public sector innovation was found to influence digital governance performance. The study underscores how data-driven innovations could be leveraged to improve service delivery and citizen participation in digital governance. This study outlines best practices for public sector organizations to effectively utilize big data, enhancing decision-making and governance, and fostering trust and performance in the digital era.