Proceedings of ICLT 2023
AI IMPLEMENTATION IN INNOVATION PROCESSES: AN UNCERTAINTY PERSPECTIVE
Jyri Vilko; Adeel Tariq; Maria Nemilentseva
School of Engineering and Management, LUT University, Finland; School of Engineering and Management, LUT University, Finland; School of Engineering and Management, LUT University, Finland
International Conference on Logistics & Transport 2023, Helsinki, Finland, pp. 34-40
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Abstract
Purpose: AI applications are increasing in accuracy and effectiveness, and simultaneously gaining more popularity internationally. While consumers online have historically been the main target market for businesses, AI may have several uses, including decreasing company risks, streamlining HR tasks, and anticipating cash flow and other functions in supply chains. The potential advantages of AI have been recognized and used, particularly in larger companies with plenty of resources. Its application to supply chains, however, is still in its early stages. Design/methodology/approach: Drawing upon existing literature, this research presents a comprehensive framework that empowers supply chains to seamlessly integrate AI at various levels of the product innovation process, enabling them to stay competitive and overcome uncertainties associated with introducing innovative products. Findings: The proposed framework provides valuable guidance for organizations in supply chains, fostering efficient and effective utilization of AI in their quest for introducing cutting-edge products. Managers need to develop an understanding of utilizing different AI functions effectively for innovative products, reducing uncertainty during this process and gaining competitive advantage at the same time. Originality/value: For supply chains the use of AI can bring considerable opportunities as the technological and green transfer challenge them decision loaded with complexity and uncertainty in supply chains. The paper aims to integrate different functions of artificial intelligence, information acquisition, divergent data processing, and usage of neural networks, at the different levels of innovation process stages to reduce uncertainty and to facilitate networked designing of innovative products meeting the modern-day business environment requirements.
Keywords
AI Integration; Innovation process; Conceptual framework; Uncertainty; Supply Chain
Citation
Jyri Vilko; Adeel Tariq; Maria Nemilentseva (2023). AI IMPLEMENTATION IN INNOVATION PROCESSES: AN UNCERTAINTY PERSPECTIVE. Proceedings of the International Conference on Logistics & Transport (ICLT 2023), Helsinki, Finland, pp. 34-40.