Key points are not available for this paper at this time.
Artificial intelligence (AI) has been identified as a critical technology of Fourth Industrial Revolution (Industry 4.0) for protecting computer network systems against cyber-attacks, malware, phishing, damage, or illicit access. AI has potential in strengthening the cyber capabilities and safety of nation-states, local governments, and non-state entities through e-Governance. Existing research provides a mixed association between AI, e-Governance, and cybersecurity; however, this relationship is believed to be context-specific. AI, e-Governance, and cybersecurity influence and are affected by various stakeholders possessing a variety of knowledge and expertise in respective areas. To fill this context specific gap, this study investigates the direct relationship between AI, e-Governance, and cybersecurity. Furthermore, this study examines the mediating role of e-Governance between AI and cybersecurity and moderating effect of stakeholders involvement on the relationship between AI, e-Governance, and cybersecurity. The results of PLS-SEM path modeling analysis revealed a partial mediating impact of e-Governance between AI and cybersecurity. Likewise, moderating influence of stakeholders involvement was discovered on the relationship between AI and e-Governance, as well as between e-Governance and cybersecurity. It implies that stakeholders involvement has vital significance in AI and e-Governance because all stakeholders have interest in vibrant, transparent, and secured cyberspace while using e-services. This study provides practical implications for governmental bodies of smart cities for strengthening their cybersecurity measures.
Bokhari et al. (2023) studied this question.