Abstract:
As businesses undergo digital transformation, artificial intelligence (AI) is becoming an integral part of decision-making and operational processes. However, managing AI-driven systems effectively requires a multidisciplinary approach that blends technical expertise, strategic foresight, and adaptive management skills. This paper examines how open innovation contributes to the development and refinement of managerial competencies in organizations that incorporate AI technologies and the relationship between AI and open innovation, focusing on how the AI and open innovation concepts enhance decision-making and collaboration in business environments. By reviewing relevant literature and industry cases, we provide insights into AI’s role in modern management and suggest directions for future research. The findings indicate that organizations leveraging open innovation strategies—such as collaborative research and development, external partnerships, and crowdsourced problem-solving—demonstrate greater adaptability and efficiency in AI-driven management. Furthermore, this paper proposes a framework for integrating AI capabilities with business management practices, emphasizing the role of dynamic leadership and innovation ecosystems. By offering insights into how firms can optimize their AI strategies through open innovation, this study contributes to both academic research and practical applications. The results suggest that organizations adopting these approaches can enhance performance, strengthen their competitive edge, and drive sustainable growth.
CITATION:
IEEE format
T. Papić, B. Gutić, N. Pantelić, N. Petrović, “The Role of Open Innovation in Enhancing Managerial,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 396-401. doi:10.15308/Sinteza-2025-396-401
APA format
Papić, T., Gutić, B., Pantelić, N., Petrović, N. (2025). The Role of Open Innovation in Enhancing Managerial. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-396-401