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Leveraging artificial intelligence for resilient business innovation in smart cities: a framework for sustainable digital transformation

Author

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  • Sabina-Cristiana NECULA

    (Alexandru Ioan Cuza University of Iasi, Faculty of Economics and Business Administration, Department of Accounting, Business Informatics and Statistics)

Abstract

Objectives: This study aims to develop a framework that integrates artificial intelligence (AI) and object-oriented analysis and design principles to drive resilient business innovation within smart city ecosystems. By focusing on the unique demands of urban resilience and sustainable growth, this framework addresses the critical need for adaptive, AI-driven business solutions that support smart governance, enhance public services, and foster sustainable digital transformation across urban environments. Prior Work: Building on existing frameworks in smart city governance, digital transformation, and AI for predictive analytics, this research expands on recent findings from the main journals. Previous studies demonstrate the potential of AI to improve urban planning and decision-making. However, few models systematically apply AI to business intelligence within the smart city context, particularly through object-oriented design, thus leaving a gap in practical, adaptable solutions for real-world smart city needs. Approach: Using a case study methodology, this research examines longitudinal data from digitally transforming cities to observe the impact of AI-driven strategies on business resilience. Results: Findings indicate that AI-enhanced business intelligence can significantly strengthen urban resilience by improving predictive capabilities and adaptive responses in areas such as public administration, resource management, and citizen engagement. Implications: This study offers practical insights for policymakers, urban planners, and business leaders seeking to implement AI in smart city projects. For academics, it provides a foundation for further exploration of AI applications within urban resilience frameworks, supporting interdisciplinary advancements in smart governance and smart economy. Value: This research contributes an innovative AI framework specifically tailored for resilient business applications within smart cities, combining practical insights with academic rigor.

Suggested Citation

  • Sabina-Cristiana NECULA, 2024. "Leveraging artificial intelligence for resilient business innovation in smart cities: a framework for sustainable digital transformation," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 12, pages 407-413, september.
    • Handle: RePEc:pop:procee:v:12:y:2024:407-413
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    References listed on IDEAS

    as
    1. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    2. Changfeng Jing & Mingyi Du & Songnian Li & Siyuan Liu, 2019. "Geospatial Dashboards for Monitoring Smart City Performance," Sustainability, MDPI, vol. 11(20), pages 1-23, October.
    3. Boban DAVIDOVIC & Sanja DEJANOVIC & Maja DAVIDOVIC, 2024. "A crowdsensing-based framework for sound and vibration data analysis in smart urban environments," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 8(2), pages 39-46, February.
    4. Marius Pislaru & Ciprian Sorin Vlad & Larisa Ivascu & Iulia Ioana Mircea, 2024. "Citizen-Centric Governance: Enhancing Citizen Engagement through Artificial Intelligence Tools," Sustainability, MDPI, vol. 16(7), pages 1-17, March.
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    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

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