{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:23:50Z","timestamp":1784737430289,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819764686","type":"print"},{"value":"9789819764693","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-97-6469-3_12","type":"book-chapter","created":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T23:25:50Z","timestamp":1740871550000},"page":"135-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Human-AI-Collaboration SECI Model: The Knowledge Management Model of the Experts\u2019 Tacit Knowledges with Augmented LLM-Based AI"],"prefix":"10.1007","author":[{"given":"Takashi","family":"Matsumoto","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryu","family":"Nishikawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chikako","family":"Morimoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,2]]},"reference":[{"issue":"1","key":"12_CR1","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/JPROC.2020.3004555","volume":"109","author":"F Zhuang","year":"2021","unstructured":"Zhuang, F., et al.: A comprehensive survey on transfer learning. Proc. IEEE 109(1), 43\u201376 (2021). https:\/\/doi.org\/10.1109\/JPROC.2020.3004555","journal-title":"Proc. IEEE"},{"key":"12_CR2","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2307.00184","author":"G Serapio-Garcia","year":"2023","unstructured":"Serapio-Garcia, G., et al.: Personality traits in large language models. Comput. Lang. Comput. Sci. (Jul.2023). https:\/\/doi.org\/10.48550\/arXiv.2307.00184","journal-title":"Comput. Lang. Comput. Sci."},{"key":"12_CR3","unstructured":"Meta introducing new ai experiences across our family of apps and devices, (2023) https:\/\/about.fb.com\/news\/2023\/09\/introducing-ai-powered-assistants-characters-and-creative-tools\/"},{"key":"12_CR4","doi-asserted-by":"publisher","unstructured":"Patrick, L et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. In: Computation and language; Machine Learning (2021) https:\/\/doi.org\/10.48550\/arXiv.2005.11401","DOI":"10.48550\/arXiv.2005.11401"},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0024-6301(99)00115-6","volume":"33","author":"I Nonaka","year":"2000","unstructured":"Nonaka, I., Toyama, R., Konno, N.: SECI, Ba and leadership: A unified model of dynamic knowledge creation. Long Range Plan. 33, 5\u201334 (2000). https:\/\/doi.org\/10.1016\/S0024-6301(99)00115-6","journal-title":"Long Range Plan."},{"key":"12_CR6","unstructured":"Madhav Joshi, S., Shekhar Sinha, A.: Knowledge as practice\u2014How artificial intelligence can create new knowledge? Working papers 550, Indian Institute of Management Kozhikode (2023)"},{"key":"12_CR7","doi-asserted-by":"publisher","first-page":"2241","DOI":"10.5267\/j.msl.2019.7.029","volume":"9","author":"A Obeidat","year":"2019","unstructured":"Obeidat, A.: IT adaption with knowledge conversion process (SECI). Manag. Sci. Lett. 9, 2241\u20132252 (2019). https:\/\/doi.org\/10.5267\/j.msl.2019.7.029","journal-title":"Manag. Sci. Lett."},{"key":"12_CR8","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s10796-022-10352-8","volume":"25","author":"A Harfouche","year":"2023","unstructured":"Harfouche, A., Quinio, B., Saba, M., et al.: The recursive theory of knowledge augmentation: Integrating human intuition and knowledge in artificial intelligence to augment organizational knowledge. Inf. Syst. Front. 25, 55\u201370 (2023). https:\/\/doi.org\/10.1007\/s10796-022-10352-8","journal-title":"Inf. Syst. Front."},{"key":"12_CR9","doi-asserted-by":"publisher","unstructured":"Hsu, M.-Y., Juin-Yi Han, M.: Artificial intelligence-based knowledge management: 9-Square Grid AI-Based KM Model. Proceedings (2023) https:\/\/doi.org\/10.5465\/AMPROC.2023.13746","DOI":"10.5465\/AMPROC.2023.13746"},{"key":"12_CR10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2203.02155","author":"L Ouyang","year":"2022","unstructured":"Ouyang, L., et al.: Training language models to follow instructions with human feedback. Comput. Lang. Comput. Sci. (Mar.2022). https:\/\/doi.org\/10.48550\/arXiv.2203.02155","journal-title":"Comput. Lang. Comput. Sci."},{"key":"12_CR11","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2302.00083","author":"O Ram","year":"2023","unstructured":"Ram, O., et al.: In-context retrieval-augmented language models. Comput. Lang. Comput. Sci. (Jan.2023). https:\/\/doi.org\/10.48550\/arXiv.2302.00083","journal-title":"Comput. Lang. Comput. Sci."},{"key":"12_CR12","doi-asserted-by":"publisher","unstructured":"Mialon, G., et al.: Augmented language models: A survey (2023) https:\/\/doi.org\/10.48550\/arXiv.2302.07842","DOI":"10.48550\/arXiv.2302.07842"},{"key":"12_CR13","unstructured":"LLaMa Index 0.6.8 from https:\/\/github.com\/run-llama\/llama_index"},{"key":"12_CR14","unstructured":"Open AI Models of GPT-4 and GPT-4 Turbo gpt-4\u201332k-0613 Up to Sep 2021 from https:\/\/platform.openai.com\/docs\/models\/gpt-4-and-gpt-4-turbo"},{"key":"12_CR15","unstructured":"Notion from https:\/\/developers.notion.com\/"},{"key":"12_CR16","unstructured":"Open AI, Embedding models text-embedding-ada-002 from https:\/\/platform.openai.com\/docs\/guides\/embeddings\/what-are-embeddings"}],"container-title":["Smart Innovation, Systems and Technologies","Agents and Multi-agent Systems: Technologies and Applications 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-6469-3_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T23:25:54Z","timestamp":1740871554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-6469-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819764686","9789819764693"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-6469-3_12","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"value":"2190-3018","type":"print"},{"value":"2190-3026","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"2 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KES-AMSTA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Madeira","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kesamsta2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/amsta-24.kesinternational.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}