Description of Crowdsourcing and AI-Based Tool for Knowledge Management and Systems Change in Public Services
Ulmanen, Sanna; Hirvonen, Mari; Tattersall, Peter; Ristikari, Tiina; Kuo, Vincent; Virta, Pertti; Jurvonen, Tanja; Niemela, Mika (2024-01-27)
World scientific
27.01.2024
Ulmanen, S., Hirvonen, M., Tattersall, P., Ristikari, T., Kuo, V., Virta, P., Jurvonen, T., & Niemelä, M. (2024). Description of crowdsourcing and ai-based tool for knowledge management and systems change in public services. International Journal of Innovation and Technology Management, 21(04), 2450027. https://doi.org/10.1142/S0219877024500275
https://creativecommons.org/licenses/by/4.0/
© The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/
© The Author(s). This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202406204785
https://urn.fi/URN:NBN:fi:oulu-202406204785
Tiivistelmä
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.
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.
Kokoelmat
- Avoin saatavuus [34589]
Ellei muuten mainita, aineiston lisenssi on https://creativecommons.org/licenses/by/4.0/