Leadership, infrastructure, and stakeholder engagement are critical socio-technical drivers for sustainable AI-enabled ICT governance implementation.
Authors
Prashant Kumar, O.P. Jindal Global University, Sonipat, Haryana, India
Saurabh Kumar, Versiti Blood Research Institute (VBRI), Milwaukee, WI, United States
Summary
This study examines the impact of socio-technical factors in the implementation of AI-enabled ICTs in governance. To investigate the research question, we employed Socio-Technical Systems Theory (STS), highlighting the interrelation of social and technical components within organizations. A mixed-method research approach is adopted, which consists of qualitative data collection from news sources and content analysis based quantitative analysis for empirical validation. Our finding indicates a moderate correlation (0.605) between leadership support and stakeholder engagement, emphasizing the influential leadership role in fostering the involvement of other stakeholders in governance, especially in the implementation of AI-driven solutions. Our research indicates the substantial impact of technological infrastructure, user-centered design, human–machine interaction, leadership support, organizational adaptability, and stakeholder engagement on the effective implementation of AI-enabled ICTs in governance. Lastly, the model with interaction terms of technological infrastructure with human–machine interaction and user-centered design improves explanatory power (R2 = 0.180, adjusted R2 = 0.179). This research elucidates the intricate interaction of socio-technical factors and provides insights for practitioners aiming to improve the efficacy and sustainability of AI applications in governance.
Published in: Smart Innovation, Systems and Technologies
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