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(1) Background: The article provides a methodologically coherent analysis of technological development in the context of the fourth industrial revolution or Industry 4.0 and its impact on changes in sustainable development policy. (2) Methods: Using a Comparative Automated Content Analysis (ACA) approach, the article compares recent scientific work on sustainable development and the fourth industrial revolution with the discourse in the news media on sustainable development and industry 4.0. (3) Results: The scientific literature focuses more on changes in business models, production processes, and technologies that enable sustainable development. Newspaper and magazine articles write more about sustainable or green investments, sustainable standards, and sustainable reporting. The focus is on topics that are directly relevant to current sustainable business development and the promotion of research and development of clean and smart technologies and processes. (4) Conclusions: The ACA allows a more systematic comparison of different data sources. The article provides a starting point for sustainable development professionals to gain useful insights into a specific context with the help of the ACA.
Vasja Roblek; Oshane Thorpe; Mirjana Bach; Andrej Jerman; Maja Meško. The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice. Sustainability 2020, 12, 8497 .
AMA StyleVasja Roblek, Oshane Thorpe, Mirjana Bach, Andrej Jerman, Maja Meško. The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice. Sustainability. 2020; 12 (20):8497.
Chicago/Turabian StyleVasja Roblek; Oshane Thorpe; Mirjana Bach; Andrej Jerman; Maja Meško. 2020. "The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice." Sustainability 12, no. 20: 8497.
Background (1) In the time of the 4th Industrial Revolution or Industry 4.0, a conglomerate of technical and social inventions, political contexts, socio-cultural circumstances, environmental policies, business models, and economic policies has emerged. Sustainability policy in theory and practice aims to deal with the effects of all these factors and to try to make decisions that ensure both social and economic development sustainably. The question is how to familiarize oneself with the current knowledge about the relationship between Industry 4.0 and sustainability?; (2) Methods: This research utilizes an automated content analysis method to analyses scientific journals, newspapers and magazines. The comparison of results of both research group shows that the scientific literature focuses more on changes in business models, production processes and technologies that enable sustainable development; (3) We found that the scientific literature focuses more on changes in business models, production processes and technologies that enable sustainable development. Newspapers and magazines articles write more about sustainable or green investment, sustainable standards and sustainable reporting. Newspapers and magazines articles write more about sustainable or green investment, sustainable standards and sustainable reporting. Newspapers, as well as some latest research journals, include articles of the COVID-19 outbreak and its effect on the economy and the environment. Indeed, the outbreak of the virus brings a new thought to the reorganization of the complex relationships between consumers, businesses and the state; (4) Conclusions: According to the comparison of the analyses of the results, it can is that the analyses of both types of literature, both scientific and professional, shows that there are common topics they write about, which are related to the field of clean production, emissions, renewable energy, climate change, sustainable investments and corporate sustainability. An urgent global issue that extends all over the world is the promotion of energy-saving technologies and reduction of carbon dioxide emissions.
Vasja Roblek; Oshane Thorpe; Maja Meško; Mirjana Pejic Bach; Andrej Jerman. The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice. 2020, 1 .
AMA StyleVasja Roblek, Oshane Thorpe, Maja Meško, Mirjana Pejic Bach, Andrej Jerman. The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice. . 2020; ():1.
Chicago/Turabian StyleVasja Roblek; Oshane Thorpe; Maja Meško; Mirjana Pejic Bach; Andrej Jerman. 2020. "The Fourth Industrial Revolution and the Sustainability Practices: A Comparative Automated Content Analysis Approach of Theory and Practice." , no. : 1.
Background and Purpose: The aim of the study is to develop a conceptual key competency model for smart factories in production processes, focused on the automotive industry, as innovation and continuous development in this industry are at the forefront and represent the key to its long-term success. Methodology: For the purpose of the research, we used a semi-structured interview as a method of data collection. Participants were segmented into three homogeneous groups, which are industry experts, university professors and secondary education teachers, and government experts. In order to analyse the qualitative data, we used the method of content analysis. Results: Based on the analysis of the data collected by structured interviews, we identified the key competencies that workers in smart factories in the automotive industry will need. The key competencies are technical skills, ICT skills, innovation and creativity, openness to learning, ability to accept and adapt to change, and various soft skills. Conclusion: Our research provides insights for managers working in organisations that are transformed by Industry 4.0. For instance, human resource managers can use our results to study what competencies potential candidates need to perform well on the job, particularly in regards to planning future job profiles in regards related to production processes. Moreover, they can design competency models in a way that is coherent with the trends of Industry 4.0. Educational policy makers should design curricula that develop mentioned competencies. In the future, the results presented here can be compared and contrasted with findings obtained by applying other empirical methods.
Andrej Jerman; Andrej Bertoncelj; Gandolfo Dominici; Mirjana Pejić Bach; Anita Trnavčević. Conceptual Key Competency Model for Smart Factories in Production Processes. orga 2020, 53, 68 -79.
AMA StyleAndrej Jerman, Andrej Bertoncelj, Gandolfo Dominici, Mirjana Pejić Bach, Anita Trnavčević. Conceptual Key Competency Model for Smart Factories in Production Processes. orga. 2020; 53 (1):68-79.
Chicago/Turabian StyleAndrej Jerman; Andrej Bertoncelj; Gandolfo Dominici; Mirjana Pejić Bach; Anita Trnavčević. 2020. "Conceptual Key Competency Model for Smart Factories in Production Processes." orga 53, no. 1: 68-79.
This paper increases understanding of the concept of smart factories system and its implementation in the automotive industry in terms of addressing necessary changes in human aspect of system, namely, employees' competencies, as well as to new job profiles. A qualitative research approach was used by utilizing a case study of the automotive industry in Slovenia. For the purpose of data collection, we used a semistructured interview on a sample of experts from governmental, educational, and private automotive sectors. In order to analyse gathered data, we used the method of content analysis. Research results indicate that significant changes are essential in the transformation from traditional to a smart factory system, especially regarding organizational mindset, the architecture of system and its processes, and the inclusion of Industry 4.0 technologies at all levels. Also, results indicate changes are essential regarding future job profiles and competencies. Although there are different perceptions about future jobs and competencies needed for Industry 4.0‐induced changes, depending on the sector in which the expert is employed, there is an overall agreement that job profiles related to programming, mechatronics, robotics, data analysis, Internet of Things, design, and maintenance of smart systems, process analysis, and bionics are the new job profiles needed in smart factory systems. In addition to the high emphasis on technical skill and knowledge, soft competencies are considered important, as well as competencies of continues learning, flexibility, creativity, problem solving, critical, and analytical thinking. Our findings possess important implications for conceptualizing job profiles and competencies in smart factories systems and practical implications for managers concerned with human resource management activities. We provide an outlook to the future job profiles that are underresearched, especially in the field of smart manufacturing. As well, our paper provides insight into the importance of different competencies recognized as crucial for complete functioning and optimal performance of smart factories system. This study provides a starting point for further research regarding human resource management issues in smart factories in the automotive sector, especially related to future job profiles and employee competencies, and their role in system performance.
Andrej Jerman; Mirjana Pejić Bach; Ana Aleksić. Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science 2019, 37, 388 -402.
AMA StyleAndrej Jerman, Mirjana Pejić Bach, Ana Aleksić. Transformation towards smart factory system: Examining new job profiles and competencies. Systems Research and Behavioral Science. 2019; 37 (2):388-402.
Chicago/Turabian StyleAndrej Jerman; Mirjana Pejić Bach; Ana Aleksić. 2019. "Transformation towards smart factory system: Examining new job profiles and competencies." Systems Research and Behavioral Science 37, no. 2: 388-402.
The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future.
Andrej Jerman; Mirjana Pejić Bach; Andrej Bertoncelj. A Bibliometric and Topic Analysis on Future Competences at Smart Factories. Machines 2018, 6, 41 .
AMA StyleAndrej Jerman, Mirjana Pejić Bach, Andrej Bertoncelj. A Bibliometric and Topic Analysis on Future Competences at Smart Factories. Machines. 2018; 6 (3):41.
Chicago/Turabian StyleAndrej Jerman; Mirjana Pejić Bach; Andrej Bertoncelj. 2018. "A Bibliometric and Topic Analysis on Future Competences at Smart Factories." Machines 6, no. 3: 41.