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Pregled bibliografske jedinice broj: 1014858

Text mining of industry 4.0 job advertisements


Pejić Bach, Mirjana; Bertoncel, Tine; Meško, Maja; Krtić, Živko
Text mining of industry 4.0 job advertisements // International journal of information management, 50 (2020), 416-431 doi:10.1016/j.ijinfomgt.2019.07.014 (međunarodna recenzija, članak, znanstveni)


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Naslov
Text mining of industry 4.0 job advertisements

Autori
Pejić Bach, Mirjana ; Bertoncel, Tine ; Meško, Maja ; Krtić, Živko

Izvornik
International journal of information management (0268-4012) 50 (2020); 416-431

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

Ključne riječi
Human resource management ; Text mining ; Job profiles ; Big data analytics ; Industry 4.0 ; Education ; Smart factory

Sažetak
Since changes in job characteristics in areas such as Industry 4.0 are rapid, fast tool for analysis of job advertisements is needed. Current knowledge about competencies required in Industry 4.0 is scarce. The goal of this paper is to develop a profile of Industry 4.0 job advertisements, using text mining on publicly available job advertisements, which are often used as a channel for collecting relevant information about the required knowledge and skills in rapid-changing industries. We searched website, which publishes job advertisements, related to Industry 4.0, and performed text mining analysis on the data collected from those job advertisements. Analysis of the job advertisements revealed that most of them were for full time entry ; associate and mid-senior level management positions and mainly came from the United States and Germany. Text mining analysis resulted in two groups of job profiles. The first group of job profiles was focused solely on the knowledge related to Industry 4.0: cyberphysical systems and the Internet of things for robotized production ; and smart production design and production control. The second group of job profiles was focused on more general knowledge areas, which are adapted to Industry 4.0: supply change management, customer satisfaction, and enterprise software. Topic mining was conducted on the extracted phrases generating various multidisciplinary job profiles. Higher educational institutions, human resources professionals, as well as experts that are already employed or aspire to be employed in Industry 4.0 organizations, would benefit from the results of our analysis.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Mirjana Pejić Bach (autor)

Citiraj ovu publikaciju

Pejić Bach, Mirjana; Bertoncel, Tine; Meško, Maja; Krtić, Živko
Text mining of industry 4.0 job advertisements // International journal of information management, 50 (2020), 416-431 doi:10.1016/j.ijinfomgt.2019.07.014 (međunarodna recenzija, članak, znanstveni)
Pejić Bach, M., Bertoncel, T., Meško, M. & Krtić, Ž. (2020) Text mining of industry 4.0 job advertisements. International journal of information management, 50, 416-431 doi:10.1016/j.ijinfomgt.2019.07.014.
@article{article, year = {2020}, pages = {416-431}, DOI = {10.1016/j.ijinfomgt.2019.07.014}, keywords = {Human resource management, Text mining, Job profiles, Big data analytics, Industry 4.0, Education, Smart factory}, journal = {International journal of information management}, doi = {10.1016/j.ijinfomgt.2019.07.014}, volume = {50}, issn = {0268-4012}, title = {Text mining of industry 4.0 job advertisements}, keyword = {Human resource management, Text mining, Job profiles, Big data analytics, Industry 4.0, Education, Smart factory} }

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


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