Description of crowdsourcing and AI-based tool for knowledge management and systems change in public services

Sanna Ulmanen*, Mari Hirvonen, Peter Tattersall, Tiina Ristikari, Vincent Kuo, Pertti Virta, Tanja Jurvanen, Mika Niemelä

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This study presents a crowdsourcing IT platform and working model intended to support knowledge management processes and systems change to help public service organizations fulfill their purpose and perform their tasks in a rapidly changing environment. The tool brings together tacit and explicit knowledge regarding organizational processes in one database and provides an AI-assisted platform for knowledge processing. Additionally, it allows for disseminating refined data to grassroots-level actors, enables the implementation of initiatives, and monitors their effectiveness. By utilizing crowdsourcing, the tool leverages the collective intelligence of actors across organizational boundaries, thereby promoting collective, knowledge-based learning and organizational self-renewal.
Original languageEnglish
Number of pages29
JournalInternational Journal of Innovation and Technology Management
Early online date27 Jan 2024
DOIs
Publication statusE-pub ahead of print - 27 Jan 2024
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Description of crowdsourcing and AI-based tool for knowledge management and systems change in public services'. Together they form a unique fingerprint.

Cite this