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Autor
Sisson Philip (The George Washington University, USA), Ryan Julie J. C. H. (National Defense Institute University)
Tytuł
A Knowledge Concept Map : Structured Concept Analysis from Systematic Literature Review
Źródło
Journal of Entrepreneurship, Management and Innovation (JEMI), 2017, vol. 13, nr 3, s. 29-69, rys., tab., bibliogr. s. 57-68
Tytuł własny numeru
Special Issue : Knowledge Management - Current Trends and Challenges
Słowa kluczowe
Wiedza, Zarządzanie wiedzą, Systematyczny przegląd literatury
Knowledge, Knowledge management, Systematic literature review
Uwagi
streszcz., summ.
Abstrakt
Celem tego artykułu jest przedstawienie mentalnego modelu wiedzy jako mapy koncepcyjnej i wkładu w badania nad zarządzaniem wiedzą (KM). Ta koncepcja mapy rozszerzonej wiedzy może służyć jako zasób, w którym badanie, opracowywanie lub stosowanie wiedzy byłoby dostarczane z szerokim, mentalnym modelem wiedzy. Wcześniej niepowiązane pojęcia są łączone; pojęcia wiedzy można czasami wyrazić w pewnym zakresie, tj. w pewnych stanach, jak: pogląd, opinia, sentyment, perswazja, wiara i przekonanie. Extrathesis jest określany jako potencjalny poziom umiejętności wyższy niż synteza i związany z pojęciami: odkrycie, instytucja, wgląd (zdarzenie), objawienie lub oświecenie poprzedzające innowacje. Do zebrania i dokumentowania koncepcji wykorzystano metody jakościowe. W celu zdefiniowania i powiązania pojęć zastosowano inżynierię systemów i metody analizy obiektów. Jednak teoretyczne metody pobierania próbek i teoretycznego nasycenia nie gwarantują, że wszystkie odpowiednie pojęcia zostały zidentyfikowane. Biorąc pod uwagę szerokość, głębokość i wymiarowość pojęć wiedzy, badacze mogą dodać dodatkowe pojęcia. Artykuł dostarcza dowodów na dodatkowe rzeczy, o których wiedzą ludzie, alternatywę dla znajomości psychologii, zrozumienia i umieszczania nowszych kategoryzacji wiedzy w stosunku do starszych i sugeruje, że istnieją zakresy wiedzy. Artykuł stanowi rozwinięcie artykułu z roku 2015 na ten temat: 1) pogłębiając spojrzenie na epistemologiczne pojęcia i relacje, 2) dostarczając kontekstowe definicje, 3) sugerując, że ekstrakcja jest pomysłem poza syntezą, 4) aktualizując mapy koncepcyjne; i 5) dostarczając nowego wglądu w "wiedzieć". Artykuł zapewnia solidne podstawy do badań nad KM, zapewniając szerokie zrozumienie wiedzy. (abstrakt oryginalny)

The purpose of this article is to present a mental model of knowledge as a concept map as an input to knowledge management (KM) investigations. This article's extended knowledge concept map can serve as a resource where the investigation, development, or application of knowledge would be served with a broad mental model of knowledge. Previously unrelated concepts are related; knowledge concepts can sometimes be expressed as a range, i.e., certainty related states: view, opinion, sentiment, persuasion, belief, and conviction. Extrathesis is identified as a potential skill level higher than synthesis, and associated with the concepts: discovery, institution, insight (the event), revelation, or illumination that precedes innovation. Qualitative methods were used to gather and document concepts. System engineering and object analysis methods were applied to define and relate concepts. However, the theoretical sampling and theoretical saturation methods applied do not guarantee all appropriate concepts have been identified. Given the breadth, depth, and dimensionality of concepts of knowledge, later researchers may add additional concepts. This article provides evidence of additional things people know, an alternative to psychology's acquaintanceship, understanding and placement of newer categorizations of knowledge in relation to older ones, and suggests that ranges for knowledge terms exist. This article extends the 2015 paper on this topic by: 1) taking a deeper look into epistemological terms and relationships, 2) providing contextual definitions, 3) suggesting extrathesis as an idea beyond synthesis, 4) updating the concept map; and 5) providing new insight on the overloaded knows including adding an eleventh know. It provides a much more solid basis for KM investigations than typical presentations, providing a broad understanding of knowledge that is beneficial. (original abstract)
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Cytowane przez
Pokaż
ISSN
2299-7075
Język
eng
URI / DOI
http://dx.doi.org/10.7341/20171332
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