Generative AI and strategic decision-making: cognitive shifts, collaboration and organizational change – cognitive convergence in artificial intelligence supported innovation
Year: 2025
Type: dissertation
Abstract: This thesis examines how generative AI reshapes strategic decision-making, focusing particularly on cognitive convergence in AI-supported innovation. Based on qualitative interviews analyzed using Mayring's content analysis method, the study explores the influence of AI on creativity, judgement, and organizational distinctiveness. The findings reveal an efficiency–originality paradox: while generative AI (GenAI) accelerates idea generation and routine tasks, it can also narrow creative variance through algorithmic standardization, automation bias and fixation effects. However, homogenization is not inevitable. When employed reflectively within human-led processes, AI can stimulate exploration and broaden perspectives, ensuring that human sense-making and over
Author: Panaro, Chiara
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7162266628
