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Record Nr. |
UNINA9910299304803321 |
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Titolo |
Knowledge Management in Organizations : 13th International Conference, KMO 2018, Žilina, Slovakia, August 6–10, 2018, Proceedings / / edited by Lorna Uden, Branislav Hadzima, I-Hsien Ting |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (XVII, 730 p. 218 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 877 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Business information services |
Application software |
Education - Data processing |
Information technology - Management |
Artificial Intelligence |
IT in Business |
Computer and Information Systems Applications |
Computers and Education |
Computer Application in Administrative Data Processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Knowledge Management Models and Analysis -- Knowledge Sharing -- Knowledge Transfer and Learning -- Knowledge and Service Innovation -- Knowledge Creation -- Knowledge and Organization -- Information Systems and Information Science -- Knowledge and Technology Management -- Data Mining and Intelligent Science -- Business and Customer Relationship Management -- Big Data and IoT -- New Trends in IT. |
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Sommario/riassunto |
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This book contains the refereed proceedings of the 13th International Conference on Knowledge Management in Organizations, KMO 2018, held in Žilina, Slovakia, in August 2018. The theme of the conference was "Emerging Research for Knowledge Management in Organizations." |
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The 59 papers accepted for KMO 2018 were selected from 141 submissions and are organized in topical sections on: Knowledge management models and analysis; knowledge sharing; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; knowledge and technology management; data mining and intelligent science; business and customer relationship management; big data and IoT; and new trends in IT. |
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