Forecasting labor needs for digitalization: A bi-partite graph machine learning approach-Reference-Cited by-同舟云学术

Forecasting labor needs for digitalization: A bi-partite graph machine learning approach

Published:2023-06 Issue: Volume:73 Page:102193
ISSN:0172-2190
Container-title:World Patent Information
language:en
Short-container-title:World Patent Information

Author:

Percia David Dimitri^ORCID,Anton Moreno Santiago^ORCID,Maréchal Loïc^ORCID,Maillart Thomas^ORCID,Mermoud Alain^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Computer Science Applications,Process Chemistry and Technology,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Bioengineering

Reference70 articles.

1. Computerization, workplace organization, skilled labour and firm productivity: Evidence for the Swiss business sector;Arvanitis;Econ. Innov. New Technol.,2005

2. Information technology, workplace organization, and the demand for skilled labor: Firm-Level evidence*;Bresnahan;Q. J. Econ.,2002

3. International competitiveness in the ict industry: Evaluating the performance of the top 50 companies;Halkos;Glob. Econ. Rev.,2007

4. Ecosystems, strategy and business models in the age of digitization - How the manufacturing industry is going to change its logic;Paulus-Rohmer;Proc. CIRP,2016

5. How to exploit the digitalization potential of business processes;Denner;Bus. Inf. Syst. Eng.,2018

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