KI-forsterket innovasjonsledelse: en empirisk studie av seks norske organisasjoners bruk av KI som lederstøtte i innovasjonsprosessen

Abstract

This thesis explores the strategic integration of artificial intelligence (AI) to augment human capabilities in innovation management, mainly focusing on enhancing decision-making and problem-solving efficiency. Its significance lies in its potential to revolutionize conventional innovation and management paradigms, presenting significant prospects for optimizing organizations’ innovation practices. Yet, gaps persist in understanding AI’s implications for innovation management and human-AI interaction within innovation. Consequently, exploring the dynamics inherent in such a collaborative interplay becomes essential. A qualitative approach was employed to answer the research question, utilizing in-depth interviews with six key individuals from organizations at the intersection of innovation and AI. Each informant held a key managerial position within their organization, focused on innovation and technological advancements, particularly AI. Synthesizing innovation and AI literature, we develop a research model that sheds light on how AI can be utilized in innovation decision-making and problem-solving, emphasizing the effectiveness of a human-AI synergy to leverage their respective strengths. This offers theoretical and practical insights particularly valuable for organizations and managers navigating the complexities of the AI era. Simultaneously, the central role of middle management in shaping an innovation-centric culture and strategy is emphasized. Thus, the middle manager serves as the bridge between strategic direction and execution. Overall, this thesis contributes to literature by exploring AI-augmented innovation management, bringing both theoretical and practical insights.