Unlocking the power and future potential of generative AI in government transformation

Purpose This paper aims to investigate whether the implementation of generative artificial intelligence (GAI) impacts government functionality. The study will analyse GAI’s positive attributes across different dimensions to comprehensively understand its value proposition for public organisations. Furthermore, the paper will outline the strategic interventions required to integrate GAI effectively within the organisational context of government transformation. Design/methodology/approach This study measures “government functionality” and “GAI implementation” using abstract macro variables as a second-order formative model. It also includes first-order measurable micro-variables to better understand the concept. In addition, the study introduces “organisational context” as a moderating factor to explain the complex dynamics of integrating GAI to improve government functionality. The study proposes a conceptual framework, which was analysed using exploratory data analysis, with primary data collected through questionnaires. Findings The study finds a positive correlation between the implementation of GAI and improved government functionality. Furthermore, it found that organisational contextualisation significantly moderates this relationship. All the empirical outcomes align with the prescribed statistical thresholds, concluding that the articulated conceptual framework holds significance. Research limitations/implications The study has significant implications for managers, researchers and anyone involved in making, implementing or evaluating decisions related to digital government through GAI. However, the study has limitations, including a limited sample size and contextualisation of the Indian public sector. Originality/value The study contributes to existing knowledge by showing that implementing GAI positively correlates with improving government functionality. It further highlights the significance of GAI implementation according to the specific organisational context.