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Pregled bibliografske jedinice broj: 1248365

Big Data and Labour Markets: A Review of Research Topics


Turulja, Lejla; Suša Vugec, Dalia; Pejić Bach, Mirjana
Big Data and Labour Markets: A Review of Research Topics // Procedia computer science, 217 (2023), 526-535 doi:10.1016/j.procs.2022.12.248 (međunarodna recenzija, članak, znanstveni)


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Naslov
Big Data and Labour Markets: A Review of Research Topics

Autori
Turulja, Lejla ; Suša Vugec, Dalia ; Pejić Bach, Mirjana

Izvornik
Procedia computer science (1877-0509) 217 (2023); 526-535

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

Ključne riječi
Big Data ; Labour Market ; Systematic Literature Review ; VOSviewer ; R bibliometrix

Sažetak
Big data has become omnipresent since most human activities are recorded using various technologies, thus generating huge databases on various platforms such as social media. Human activity has become reflected in these databases, making them suitable for various research that used to be conducted based on more traditional research approaches, such as survey research. Labour markets research is also affected by big data since social media has become one of the most dominant means of communication in various areas, being employed as one of them. This paper aims to map the research field of big data and labor markets using a systematic literature review and bibliography. Web of Science database has been searched using the keywords "big data" and "labo(u)r market". The most relevant papers for the area of big data for labour analysis have been selected, using transparent and consistent criteria. Papers have been analysed using a bibliometric approach supported by the VOSviewer and R bibliometrix, which has been used for detecting various research trends, such as research topics. The assessment of the current research in big data for the labour market has been compiled to detect the research gaps and generate future research directions.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Mirjana Pejić Bach (autor)

Avatar Url Dalia Suša Vugec (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Turulja, Lejla; Suša Vugec, Dalia; Pejić Bach, Mirjana
Big Data and Labour Markets: A Review of Research Topics // Procedia computer science, 217 (2023), 526-535 doi:10.1016/j.procs.2022.12.248 (međunarodna recenzija, članak, znanstveni)
Turulja, L., Suša Vugec, D. & Pejić Bach, M. (2023) Big Data and Labour Markets: A Review of Research Topics. Procedia computer science, 217, 526-535 doi:10.1016/j.procs.2022.12.248.
@article{article, author = {Turulja, Lejla and Su\v{s}a Vugec, Dalia and Peji\'{c} Bach, Mirjana}, year = {2023}, pages = {526-535}, DOI = {10.1016/j.procs.2022.12.248}, keywords = {Big Data, Labour Market, Systematic Literature Review, VOSviewer, R bibliometrix}, journal = {Procedia computer science}, doi = {10.1016/j.procs.2022.12.248}, volume = {217}, issn = {1877-0509}, title = {Big Data and Labour Markets: A Review of Research Topics}, keyword = {Big Data, Labour Market, Systematic Literature Review, VOSviewer, R bibliometrix} }
@article{article, author = {Turulja, Lejla and Su\v{s}a Vugec, Dalia and Peji\'{c} Bach, Mirjana}, year = {2023}, pages = {526-535}, DOI = {10.1016/j.procs.2022.12.248}, keywords = {Big Data, Labour Market, Systematic Literature Review, VOSviewer, R bibliometrix}, journal = {Procedia computer science}, doi = {10.1016/j.procs.2022.12.248}, volume = {217}, issn = {1877-0509}, title = {Big Data and Labour Markets: A Review of Research Topics}, keyword = {Big Data, Labour Market, Systematic Literature Review, VOSviewer, R bibliometrix} }

Citati:





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