G5 Article dissertation
The Human-centric knowledge management system in a complex environment; 
Authors: Ni, Pengcheng
Publishing place: Turku
Publication year: 2026
Series title: Annales Universitatis Turkuensis F
Number in series: 87
ISBN: 978-952-02-0733-5
eISBN: 978-952-02-0734-2
ISSN: 2736-9390
eISSN: 2736-9684
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Open Access publication channel
Web address : https://urn.fi/URN:ISBN:978-952-02-0734-2
In the shipbuilding industry, research on human-centric knowledge management systems is lacking. For a long time, shipbuilding has been considered a labour-intensive sector. However, the digital revolution is ongoing in the European shipbuilding industry and we cannot rely on the traditional way of running businesses. It is necessary to pay attention to the management of knowledge assets to maintain strong competitiveness in the global market. Knowledge management, as an interdisciplinary field, contributes to the study of the knowledge asset in knowledge-intensive organizations. However, many modern firms are not treating knowledge assets as a competitive advantage in the operation of their organizations. Knowledge, as an invisible asset, needs to be managed systematically, and knowledge management now plays a pivotal role in different organizations. Therefore, this thesis examines knowledge management through the architecture of a knowledge management system. This work employs a multi-method approach to build a human-centric knowledge management system for shipbuilding. The result shows that such a system is suitable for the European shipbuilding industry. The system is decoupled, which means we need to follow a sequence of design parameters when implementing it. Additionally, the dissertation finds that tacit knowledge has a vital role in the human-centric knowledge management system in shipbuilding. This evaluation uses a systems engineering approach to explore the system’s architecture and applies a multi-method knowledge management system to construct it. The process can serve as a significant reference for other architectures in knowledge-intensive industries.