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

Sabina-Cristiana Necula ()
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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

Smart Cities International Conference (SCIC) Proceedings, 2024, vol. 12, 407-413

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.

Keywords: urban resilience; digital transformation; AI-driven business intelligence; smart city governance; adaptive frameworks Decision-Making; Workforce Development (search for similar items in EconPapers)
JEL-codes: O35 (search for similar items in EconPapers)
Date: 2024
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