Process-Based Analysis of Digitally Transforming Skills

Authors :: Ildikó Szabó
Katalin Ternai
Corvinus University of Budapest
A Min Tjoa
Li-Rong Zheng
Zhuo Zou
Maria Raffai
Li Da Xu
Niina Maarit Novak
TC 8
WG 8.9
Source :: Lecture Notes in Business Information Processing ISBN: 9783319948447, CONFENIS, Lecture Notes in Business Information Processing, 11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), 11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2017, Shanghai, China. pp.104-115, ⟨10.1007/978-3-319-94845-4_10⟩
Publication Year :: 2018
Publisher :: Springer International Publishing, 2018.
Abstract: Part 3: EIS for Industry 4.0; International audience; In Industry 4.0 a lot of jobs will be replaced by machines due to the technological revolution. Digital transformation entails new skills required to possess by people. This paper presents a solution to create data warehouse to assess future job skills based on the actual industrial business processes. The solution collects time series data from job portals and transforms them into the data warehouse to analyse skill sets. The structure of the data warehouse and the algorithm of extracting data from job vacancies have been introduced.

Subjects :: Structure (mathematical logic)
Technological revolution
ComputingMilieux_THECOMPUTINGPROFESSION
Business process
Computer science
Process (engineering)
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
Process ontology
Digital transformation
Skilled workforce
Industrial engineering
Data warehouse
[INFO]Computer Science [cs]
Time series

ISBN :: 978-3-319-94844-7
ISBNs :: 9783319948447
Database :: OpenAIRE
Journal :: Lecture Notes in Business Information Processing ISBN: 9783319948447, CONFENIS, Lecture Notes in Business Information Processing, 11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), 11th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS), Oct 2017, Shanghai, China. pp.104-115, ⟨10.1007/978-3-319-94845-4_10⟩
Accession number :: edsair.doi.dedup.....9242197371ebb96bf4c568726ab136db
Full Text :: https://doi.org/10.1007/978-3-319-94845-4_10