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Pregled bibliografske jedinice broj: 638779

Visualisation of The Organisation Knowledge Structure Evolution


Štorga, Mario; Mostashari, Ali; Stanković, Tino
Visualisation of The Organisation Knowledge Structure Evolution // Journal of Knowledge Management, 17 (2013), 5; 724-740 doi:10.1108/JKM-02-2013-0058 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 638779 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Visualisation of The Organisation Knowledge Structure Evolution

Autori
Štorga, Mario ; Mostashari, Ali ; Stanković, Tino

Izvornik
Journal of Knowledge Management (1367-3270) 17 (2013), 5; 724-740

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
complex networks; knowledge visualization; knowledge structures; knowledge evolution - dynamics and patterns

Sažetak
The paper provides a methodology by which organisational knowledge can be extracted and visualised dynamically over time, providing a glimpse into the knowledge evolution processes that occur within organisations. Recursive analysis of email interactions is offered as a case to account for the knowledge structure evolution related to the different programs of INGO. Several methods are used: analysis of the network expansion to see if the process is random or uniform is performed, visualisation of the network configuration change throughout studied time period ; and the statistical examination of network formation. The results of presented study indicate that content structure of electronic knowledge networks exhibits hierarchical and centralised tendencies. The social network analysis results suggest that INGO exhibits non-hierarchical and decentralized structure of the individuals contributing to the discussion lists. By providing the means to carry out network evolution analysis of content structure dynamics and social interactions, presented work provides a means for probabilistically modelling patterns of organisational knowledge evolution. The approach allows the exploration of the dynamics of tacit to explicit knowledge, from individual to the group and from informal groups to the whole organisation. By displaying the large collection of the key phrases that reflected the evolution of the organisational knowledge structure over the time, organisational emails are placed in meaningful context explaining the language of the organisation and context of knowledge structure evolution.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo



POVEZANOST RADA


Projekti:
120-1201829-1828 - Modeli i metode upravljanja znanjem u razvoju proizvoda (Marjanović, Dorian, MZOS ) ( CroRIS)

Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Mario Štorga (autor)

Avatar Url Tino Stanković (autor)

Poveznice na cjeloviti tekst rada:

doi www.emeraldinsight.com

Citiraj ovu publikaciju:

Štorga, Mario; Mostashari, Ali; Stanković, Tino
Visualisation of The Organisation Knowledge Structure Evolution // Journal of Knowledge Management, 17 (2013), 5; 724-740 doi:10.1108/JKM-02-2013-0058 (međunarodna recenzija, članak, znanstveni)
Štorga, M., Mostashari, A. & Stanković, T. (2013) Visualisation of The Organisation Knowledge Structure Evolution. Journal of Knowledge Management, 17 (5), 724-740 doi:10.1108/JKM-02-2013-0058.
@article{article, author = {\v{S}torga, Mario and Mostashari, Ali and Stankovi\'{c}, Tino}, year = {2013}, pages = {724-740}, DOI = {10.1108/JKM-02-2013-0058}, keywords = {complex networks, knowledge visualization, knowledge structures, knowledge evolution - dynamics and patterns}, journal = {Journal of Knowledge Management}, doi = {10.1108/JKM-02-2013-0058}, volume = {17}, number = {5}, issn = {1367-3270}, title = {Visualisation of The Organisation Knowledge Structure Evolution}, keyword = {complex networks, knowledge visualization, knowledge structures, knowledge evolution - dynamics and patterns} }
@article{article, author = {\v{S}torga, Mario and Mostashari, Ali and Stankovi\'{c}, Tino}, year = {2013}, pages = {724-740}, DOI = {10.1108/JKM-02-2013-0058}, keywords = {complex networks, knowledge visualization, knowledge structures, knowledge evolution - dynamics and patterns}, journal = {Journal of Knowledge Management}, doi = {10.1108/JKM-02-2013-0058}, volume = {17}, number = {5}, issn = {1367-3270}, title = {Visualisation of The Organisation Knowledge Structure Evolution}, keyword = {complex networks, knowledge visualization, knowledge structures, knowledge evolution - dynamics and patterns} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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