Szczegóły publikacji

Opis bibliograficzny

Collective intelligence - as a way of sharing and creating of knowledge towards sustainable rural area development / Urszula Ziemianczyk, Rafał OLSZOWSKI // W: Proceedings of the 37th International Business Information Management Association Conference (IBIMA) [Dokument elektroniczny] : 30-31 May 2021, Cordoba, Spain : Innovation Management and Information Technology Impact on Global Economy in the Era of Pandemic / ed. Khalid S. Soliman. — Wersja do Windows. — Dane tekstowe. — [Norristown] : International Business Information Management Association (IBIMA), cop. 2021. — (Proceedings of the... International Business Information Management Association Conference ; ISSN 2767-9640). — e-ISBN: 978-0-9998551-6-4. — S. 6633–6639. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://u.pcloud.link/publink/show?code=kZnoamXZkmWu5WL4oKu11... [2021-06-24]. — Bibliogr. s. 6637–6639, Abstr. — Dod. afiliacja autora: Massachusetts Institute of Technology, Center for Collective Intelligence, USA


Autorzy (2)


Słowa kluczowe

developmentrural areaknowledge managementcollective intelligence

Dane bibliometryczne

ID BaDAP134904
Data dodania do BaDAP2021-07-08
Rok publikacji2021
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
Konferencja37th International Business Information Management Association Conference
Czasopismo/seriaProceedings of the... International Business Information Management Association Conference

Abstract

Nowadays, socioeconomic development, along with rural development, has received a new character and accelerated due to the fact new properties of external environment have determined an extraordinary increase in the value of knowledge. Knowledge has been as a new source of change. Compiling knowledge that really is ready to be used is one of the common challenges throughout Europe. The first aim of this article is to bring together problems in rural development with modern concepts such as Knowledge Management and Collective Intelligence. The findings of the basic project, which established five key knowledge management processes and two potential knowledge management system models, are a valuable contribution to potential implementations in rural institutions. On this basis, the expert analysis on the organizational models of Collective Intelligence has produced interesting results and states a second goal of this article.

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fragment książki
Combating fake news with the use of Collective Intelligence in hybrid systems / Rafał OLSZOWSKI // W: Proceedings of the 37th International Business Information Management Association Conference (IBIMA) [Dokument elektroniczny] : 30-31 May 2021, Cordoba, Spain : Innovation Management and Information Technology Impact on Global Economy in the Era of Pandemic / ed. Khalid S. Soliman. — Wersja do Windows. — Dane tekstowe. — [Norristown] : International Business Information Management Association (IBIMA), cop. 2021. — (Proceedings of the... International Business Information Management Association Conference ; ISSN 2767-9640). — e-ISBN: 978-0-9998551-6-4. — S. 8602–8605. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://u.pcloud.link/publink/show?code=kZnoamXZkmWu5WL4oKu11... [2021-06-24]. — Bibliogr. s. 8605, Abstr. — Dod. afiliacja autora: Massachusetts Institute of Technology, Center for Collective Intelligence, USA
fragment książki
Quest for collective intelligence in the internet public sphere : comparative case study and cognitive processes analysis / Rafał OLSZOWSKI, Urszula Ziemianczyk // W: Proceedings of the 37th International Business Information Management Association Conference (IBIMA) [Dokument elektroniczny] : 30-31 May 2021, Cordoba, Spain : Innovation Management and Information Technology Impact on Global Economy in the Era of Pandemic / ed. Khalid S. Soliman. — Wersja do Windows. — Dane tekstowe. — [Norristown] : International Business Information Management Association (IBIMA), cop. 2021. — (Proceedings of the... International Business Information Management Association Conference ; ISSN 2767-9640). — e-ISBN: 978-0-9998551-6-4. — S. 11009–11018. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://u.pcloud.link/publink/show?code=kZnoamXZkmWu5WL4oKu11... [2021-10-25]. — Bibliogr. s. 11016–11018, Abstr. — Dod. afiliacja autora: Massachusetts Institute of Technology, Center for Collective Intelligence, USA