2022
DOI: 10.1080/03043797.2021.2025341
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Evidence-based redesign of engineering education lectures: theoretical framework and preliminary empirical evidence

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Cited by 12 publications
(9 citation statements)
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“…Theoretical and preliminary empirical research are both reflected in the data gathering tool employed in this study [23]. The quality management for sustainability among SMEs is the main topic of this study.…”
Section: Research Instrumentmentioning
confidence: 99%
“…Theoretical and preliminary empirical research are both reflected in the data gathering tool employed in this study [23]. The quality management for sustainability among SMEs is the main topic of this study.…”
Section: Research Instrumentmentioning
confidence: 99%
“…The competencies required in the context of SSSP in manufacturing enterprises should also be reflected in the relevant competency profiles of the university to be able to integrate competency development and promotion actively and transparently into the curricula (Pacher et al, 2022;Ralph et al, 2022). The authors further recommend the application of laboratory experiments to investigate human behavior in supply management processes (Zsifkovits et al, 2021).…”
Section: Recommendations For Action In Tertiary Vocational Education ...mentioning
confidence: 99%
“…Universities must create more awareness for the SSSP respectively for strategic planning and decision-making processes in general by developing more accurate education programs. Therefore, the multidisciplinary approach on how to integrate and deal with SSSP concepts from the different angles of the respective disciplines is essential (Ralph et al, 2022;Zunk, 2018;Zunk & Sadei, 2015). Moreover, universities should provide opportunities to learn and develop problembased behavior in managerial planning and decision-making processes to connect theoretical concepts with practical applications (Ralph et al, 2021;Woschank et al, 2021a).…”
Section: Recommendations For Action In Tertiary Vocational Education ...mentioning
confidence: 99%
“…Thereby, recent empirical studies outline the importance of training the human factors within the environment of Industry 4.0-based production and logistics processes as one of the main prerequisites toward the transition to a smart factory [3,4]. In this context, Ralph et al reported the following research findings: 1) Significant differences in knowledge areas of digitalization, data science, and digital transformation between the existing knowledge of the students and the required knowledge of companies from the respective competitive markets; 2) tendentially, a lower level of knowledge in the areas of data science and digital transformation; 3) no significant knowledge differences between the investigated study programs, which means that more subjectspecific knowledge must be developed and taught in the future [5].…”
Section: Introductionmentioning
confidence: 99%