Contemporary Digital Competency Review

Nyikes, Zoltán

doi:10.7906/indecs.16.1.9

Cited by 41 publications

(31 citation statements)

References 14 publications

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“…For example, Antosz () identified the competencies relevant to workers in the field of maintenance of equipment for production organizations. Nyikes () has done an overview of the digital competencies that people will need in the future, whereas Kinkel, Schemmann, and Lichtner () have reviewed the critical competencies that affect employee innovation. Several specific job profile competencies have been developed, for example, for information technology job profile (Benešová & Tupa, ) or general competence models that propose different levels and groups of competencies for Industry 4.0 (e.g., Hecklau et al, ; Prifti, Knigge, Kienegger, & Krcmar, ).…”

Section: Introductionmentioning

confidence: 99%

Transformation towards smart factory system: Examining new job profiles and competencies

2019

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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.

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Section: Introductionmentioning

confidence: 99%

Transformation towards smart factory system: Examining new job profiles and competencies

2019

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“…In providing services online, mastery of this information technology must have an impact. Utilization of big data, cloud, social networks, and mobile devices should be able to achieve a higher level of collaboration than ever before [6]. Every employee needs to experience the benefits of being in this digital world.…”

Section: Proceedings Of the 6th International Conference On Educationmentioning

confidence: 99%

Students Perception of Technology-Assisted Services and Readiness of Employee Digital Competencies in Covid-19 Pandemic Era

Ubaidillah¹,

Gunawan²,

Adha³

et al. 2020

Proceedings of the 6th International Conference on Education and Technology (ICET 2020)

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Policy in the midst of covid-19 pandemic pressure, with the implementation of health protocols certainly makes access to services to students limited. This can be used as an effort for service organizers to maximize services by switching to an online system. The objectives in this study are to know the level of readiness of employees' digital competencies, their influence on the quality of technology-assisted services and the satisfaction of students in the education administration department of the faculty of education of unfortunate public universities, which is pursued quantitatively. A total of 152 students were taken using purposive random sampling techniques. Data is analyzed with descriptive analysis techniques and path analysis with the help of SPSS 24.0 and SEM AMOS 24 applications. The results showed the level of readiness of digital competencies of employees, the quality of service, and student satisfaction are in the category very well, there is a direct influence of employee digital competency readiness on the quality of technology-assisted services, there is a direct influence on the quality of technology-assisted services on student satisfaction, the readiness of employees' digital competencies has a direct and indirect influence on student satisfaction through the quality of technology-assisted services.

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“…Results that indicate which phrases co-occurred most often within each of the clusters are presented in Figure 4. Analysis retrieved four main topics, i.e., (1) personnel development in learning organizations [32][33][34][35][36][37][38], (2) training techniques for personnel [39][40][41], (3) future engineering profile and engineering education [42][43][44], and (4) relational capabilities [45][46][47]. Although the total number of papers was 44, the cluster algorithm included 7 papers in Cluster 1 and 3 papers for the remaining clusters, since the topics of other papers were highly specific, and could not be assigned to any of the developed clusters.…”

Section: Topic Miningmentioning

confidence: 99%

“…Analysis of selected papers showed that there are three papers focused on personnel training techniques (Cluster 2). Papers that are presented have been written within a period of two years, which includes training to gather digital knowledge [39,41] and training updated with techniques and ideas coming from the industry world [40].…”

mentioning

confidence: 99%

“…For example, Kinkel et al [34] classified competences into four clusters: network competence, creative problem-solving competence, overview competence, and integration competence, but the classification is used for innovation competences. Nyikes [39] classified competences into ethical, cognitive, and technological competences, but this classification is used for digital competences. In our research, we used the classification of competences by Hecklau et al [32], because, in our judgment, it is a general classification of competences, and competences of the individual (employee) can be best classified by this classification.…”

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confidence: 99%

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A Bibliometric and Topic Analysis on Future Competences at Smart Factories

2018

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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.

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Contemporary Digital Competency Review

Cited by 41 publications

References 14 publications

Transformation towards smart factory system: Examining new job profiles and competencies

Transformation towards smart factory system: Examining new job profiles and competencies

Students Perception of Technology-Assisted Services and Readiness of Employee Digital Competencies in Covid-19 Pandemic Era

A Bibliometric and Topic Analysis on Future Competences at Smart Factories

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