Evaluating the creativity level of a multimodal AI system for management innovation in a turbulence environment

In an era characterized by rapid technological advancements and unpredictable socio-economic shifts, organizations face increasing pressure to innovate and adapt. This turbulence necessitates advanced management strategies powered by intelligent systems capable of creative problem-solving. This paper explores a novel approach to evaluating the creativity level of multimodal artificial intelligence (AI) systems designed to drive management innovation in turbulent environments. The study presents a comprehensive evaluation framework that assesses AI-driven creativity through four dimensions: originality, fluency, flexibility, and elaboration. Leveraging multimodal capabilities – including natural language processing, computer vision, and machine learning – the AI system generates, analyzes, and refines innovative solutions for complex managerial challenges. A weighted scoring system, combined with expert judgment and real-time feedback, ensures a holistic evaluation of the AI's creative output. The proposed framework was tested in various management contexts, including project planning, risk mitigation, and strategic decision-making under uncertainty. Results indicate that multimodal AI systems significantly enhance managerial creativity by identifying novel solutions, predicting potential outcomes, and adapting real-time strategies. Furthermore, the study highlights how AI-driven creativity fosters resilience, efficiency, and sustainable innovation in dynamic business environments. Evaluating the creativity level of a multimodal AI system like ChatGPT requires defining creativity in measurable terms and creating a framework to assess it quantitatively.