Industry 4.0 in the Messages Published by Employers and Trade Unions in France, Germany, Poland, and the UK

Pilc, Michał; Woźniak-Jęchorek, Beata; Woźniak, Katarzyna; Piątek, Dawid

doi:10.1007/978-3-030-83360-2_7

Cited by 3 publications

(1 citation statement)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For leaders of interest groups, especially those within entities such as employers' associations or trade unions, the strategic sharing of information holds significant importance. This practice serves as a means to gain influence, build consensus, attract members, and shape policies, particularly in situations marked by uncertainty (Pilc et al 2021). In light of the uncertainty enveloping the repercussions of Industry 4.0 for labour market participants, a valuable avenue for investigation could revolve around the examination of how social partners disseminate information, especially in the current context where their experiences and approaches have not been the same around Europe.…”

Section: Social Partners' Responsesmentioning

confidence: 99%

Industry 4.0: a bibliometric analysis of social partners’ public messages in France and Germany

Woźniak-Jęchorek,

Woźniak-Jasińska,

Lewoniewski

et al. 2024

Econ. labour relat. rev.

View full text Add to dashboard Cite

This paper investigates how interest groups in France and Germany communicate information about Industry 4.0 technologies and approaches. Specifically, this explanatory study employs cutting-edge big-data-type tools and machine-based automatic text processing to delve into the topics, arguments, and postulates related to Industry 4.0 strategies by trade unions and employers’ organisations. The goal is to determine which of these factors have been pivotal in shaping social dialogue in France and Germany. The findings reveal that social partners in both countries are involved in similar digitalisation-related initiatives and express predominantly favourable viewpoints regarding Industry 4.0 technologies. Key themes in the dialogues of both France and Germany centre around workers’ rights, working conditions, and skills training.

show abstract

Section: Social Partners' Responsesmentioning

confidence: 99%

Industry 4.0: a bibliometric analysis of social partners’ public messages in France and Germany

Woźniak-Jęchorek,

Woźniak-Jasińska,

Lewoniewski

et al. 2024

Econ. labour relat. rev.

View full text Add to dashboard Cite

show abstract

Adapting to Industry 4.0 in France: Essential Competencies for a Future-Ready Workforce

Turcato,

Pedroso,

Arnold

et al. 2024

Administrative Sciences

View full text Add to dashboard Cite

This paper identifies skills required for workers in Industry 4.0 in France and provides insights to guide the development of a future research agenda. The research draws on a bibliometric analysis of 80 papers, mapping the technical and interpersonal skills needed for professionals to adapt and thrive in the evolving industrial landscape. The results highlight the importance of a multidisciplinary approach integrating competences in information technology, automation, robotics, artificial intelligence, data analysis, project management, interpersonal skills, adaptability, and collaboration. This holistic approach to skills development reveals six major domains: Technical, Flexibility, Inter-Agency, Soft Skills, Innovation, and Information Technology. The conclusions emphasize that the interconnection between these domains is essential to prepare a workforce capable of meeting the challenges and seizing the opportunities of Industry 4.0 in France. The research shows that there is a need for a multidisciplinary and integrated approach that combines technical and interpersonal skills in Industry 4.0 activities. It provides a solid foundation for formulating talent development strategies and educational curricula aligned with the demands of Industry 4.0. By proposing a future research agenda, this study not only highlights key areas for further exploration—economic impact, public innovation policies, and curriculum adaptation—but also contributes to the evolution of human resources in the digital transformation era.

show abstract

Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0

2022

View full text Add to dashboard Cite

Introduction: The advances in the digital era have necessitated the adoption of communication as the main channel for modern business. In the past, business negotiations, profiling, seminars, shopping, and agreements were in-person but today everything is almost digitalized. Objectives: The study aims to examine how the Internet of things (IoTs) connects text-object as part of NLP and AI responding to human needs. Also, how precipitated changes in the business environment and modern applications such as NLP and AI embedded with IoTs services have changed business settings. Problem statement: As communication takes lead in the business environment, companies have developed sophisticated applications of NLP that take human desires and fulfill them instantly with the help of text, phone calls, smart records, and chatbots. The ease of communication and interaction has shown a greater influence on customer choice, desires, and needs. Modern service providers now use email, text, phone calls, smart records, and virtual assistants as first contact points for almost all of their dealings, customer inquiries, and most preferred trading channels. Method: The study uses text content as part of NLP and AI to demonstrate how companies capture customers’ insight and how they use IoTs to influence customers’ reactions, responses, and engagement with enterprise management in industry 4.0. The “Behavior-oriented drive and influential function of IoTs on Customers in Industry 4.0” concept was used in this study to determine the influence of industry 4.0 on customers. Results: The result indicates the least score of 12 out of 15 grades for all the measurements on a behavior-oriented drive and influential function of IoTs on customers. Conclusion: The study concluded that NLP and AI are the preferred system for enterprise management in the era of industry 4.0 to understand customers’ demands and achieve customer satisfaction. Therefore, NLP and AI techniques are a necessity to attain business goals.

show abstract

Industry 4.0 in the Messages Published by Employers and Trade Unions in France, Germany, Poland, and the UK

Cited by 3 publications

References 25 publications

Industry 4.0: a bibliometric analysis of social partners’ public messages in France and Germany

Industry 4.0: a bibliometric analysis of social partners’ public messages in France and Germany

Adapting to Industry 4.0 in France: Essential Competencies for a Future-Ready Workforce

Natural Language Processing and Artificial Intelligence for Enterprise Management in the Era of Industry 4.0

Contact Info

Product

Resources

About