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Pregled bibliografske jedinice broj: 1084964

Text Mining the Variety of Trends in the Field of Simulation Modeling Research


Jadrić, Mario; Mijač, Tea; Ćukušić, Maja
Text Mining the Variety of Trends in the Field of Simulation Modeling Research // Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. / Buchmann, R.A. ; Polini, A. ; Johansson, B. ; Karagiannis, D. (ur.).
Cham: Springer, 2020. str. 143-158 doi:10.1007/978-3-030-61140-8_10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Text Mining the Variety of Trends in the Field of Simulation Modeling Research

Autori
Jadrić, Mario ; Mijač, Tea ; Ćukušić, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. / Buchmann, R.A. ; Polini, A. ; Johansson, B. ; Karagiannis, D. - Cham : Springer, 2020, 143-158

ISBN
978-3-030-61139-2

Skup
19th International Conference on Perspectives in Business Informatics Research

Mjesto i datum
Beč, Austrija, 21.09.2020. - 23.09.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Simulation modeling ; Text mining ; Science mapping ; PDCA

Sažetak
Simulation modeling as a research field is engaging and multidisciplinary, drawing on a wide range of techniques and tools. It has reached its 60th anniversary amassing to an enormous corpus of literature. To date, many studies explored its advancements in specific disciplines. This paper aims to present a more structured and cross-disciplinary approach by identifying trends and extracting patterns from text files using text mining techniques. For that purpose, abstracts from over 5, 000 papers were downloaded from the WoS database and analyzed. The results are complemented and visualized through the process of science mapping and positioned to existing frameworks (Plan-Do- Check-Act and Bloom’s taxonomy in particular). The source with the most journal papers related to simulation modeling has been Ecological modelling ; however, recent research focus has shifted to healthcare issues. Overall, the results confirm the relevancy of the simulation modeling field and acknowledge the trend among research papers towards the highest cognitive level of Bloom’s taxonomy – knowledge.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
--UIP-2017-05-7625 - Korisniku orijentiran (re)dizajn procesa i modeliranje informacijskih sustava na primjeru smart city usluga (MIS4SC) (Ćukušić, Maja) ( CroRIS)

Ustanove:
Ekonomski fakultet, Split

Profili:

Avatar Url Tea Mijač (autor)

Avatar Url Mario Jadrić (autor)

Avatar Url Maja Ćukušić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Jadrić, Mario; Mijač, Tea; Ćukušić, Maja
Text Mining the Variety of Trends in the Field of Simulation Modeling Research // Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. / Buchmann, R.A. ; Polini, A. ; Johansson, B. ; Karagiannis, D. (ur.).
Cham: Springer, 2020. str. 143-158 doi:10.1007/978-3-030-61140-8_10 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jadrić, M., Mijač, T. & Ćukušić, M. (2020) Text Mining the Variety of Trends in the Field of Simulation Modeling Research. U: Buchmann, R., Polini, A., Johansson, B. & Karagiannis, D. (ur.)Perspectives in Business Informatics Research. BIR 2020. Lecture Notes in Business Information Processing, vol 398. doi:10.1007/978-3-030-61140-8_10.
@article{article, author = {Jadri\'{c}, Mario and Mija\v{c}, Tea and \'{C}uku\v{s}i\'{c}, Maja}, year = {2020}, pages = {143-158}, DOI = {10.1007/978-3-030-61140-8\_10}, keywords = {Simulation modeling, Text mining, Science mapping, PDCA}, doi = {10.1007/978-3-030-61140-8\_10}, isbn = {978-3-030-61139-2}, title = {Text Mining the Variety of Trends in the Field of Simulation Modeling Research}, keyword = {Simulation modeling, Text mining, Science mapping, PDCA}, publisher = {Springer}, publisherplace = {Be\v{c}, Austrija} }
@article{article, author = {Jadri\'{c}, Mario and Mija\v{c}, Tea and \'{C}uku\v{s}i\'{c}, Maja}, year = {2020}, pages = {143-158}, DOI = {10.1007/978-3-030-61140-8\_10}, keywords = {Simulation modeling, Text mining, Science mapping, PDCA}, doi = {10.1007/978-3-030-61140-8\_10}, isbn = {978-3-030-61139-2}, title = {Text Mining the Variety of Trends in the Field of Simulation Modeling Research}, keyword = {Simulation modeling, Text mining, Science mapping, PDCA}, publisher = {Springer}, publisherplace = {Be\v{c}, Austrija} }

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