Artificial Intelligence as a Catalyst for Exploration in High-Tech Work Environments

Investigating How Artificial Intelligence Contributes to Innovation by Supporting Explorative Behaviour

Master Thesis (2025)
Author(s)

D.G. Pavlov (TU Delft - Technology, Policy and Management)

Contributor(s)

Nikolaos Pahos – Mentor (TU Delft - Economics of Technology and Innovation)

Martin Sand – Graduation committee member (TU Delft - Ethics & Philosophy of Technology)

Faculty
Technology, Policy and Management
More Info
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Publication Year
2025
Language
English
Graduation Date
28-10-2025
Awarding Institution
Delft University of Technology
Programme
['Management of Technology (MoT)']
Faculty
Technology, Policy and Management
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Abstract

Artificial Intelligence (AI) is increasingly transforming knowledge work in high-tech industries by reshaping how information is created, combined, and applied. While prior research has focused on efficiency gains, limited attention has been given to AI’s role in enabling exploration - a key behaviour through which innovation emerges. This study examines how AI supports exploration among knowledge workers in Dutch high-tech organisations. A qualitative approach was employed, based on semi-structured interviews with professionals across multiple industries. The findings show that employees primarily use AI as an augmentative technology that enhances problem-solving rather than replacing human judgment. AI broadens knowledge search, facilitates knowledge recombination. stimulates learning, and supports rapid prototyping while relieving routine workloads. However, its effectiveness remains contingent on its reliability, the organisational context in which is emploied and AI literacy of the users. The study contributes to the knowledge-based view of innovation by demonstrating empirically that AI functions as a cognitive partner that amplifies human capabilities, thereby enabling exploration and supporting innovation in high-tech work environments.

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