An Adaptive Self-modeling Network Model for Multilevel Organizational Learning
| Autor: | Canbaloğlu, Gülay, Treur, Jan, Roelofsma, Peter, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit |
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| Přispěvatelé: | Computer Science, Sociology, Yang, Xin-She, Sherratt, Simon, Dey, Nilanjan, Joshi, Amit |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022, 179-191 STARTPAGE=179;ENDPAGE=191;TITLE=Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022 Canbaloğlu, G, Treur, J & Roelofsma, P 2023, An Adaptive Self-modeling Network Model for Multilevel Organizational Learning . in X-S Yang, S Sherratt, N Dey & A Joshi (eds), Proceedings of 7th International Congress on Information and Communication Technology-ICICT 2022 . Lecture Notes in Networks and Systems, vol. 448, Springer Science and Business Media Deutschland GmbH, pp. 179-191, 7th International Congress on Information and Communication Technology, ICICT 2022, Virtual, Online, 21/02/22 . https://doi.org/10.1007/978-981-19-1610-6_16 Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916090 |
| DOI: | 10.1007/978-981-19-1610-6_16 |
| Popis: | Multilevel organizational learning concerns an interplay of different types of learning at individual, team, and organizational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated. |
| Databáze: | OpenAIRE |
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