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Digital competence is essential for students and professionals in health and nursing education. Based on the DigComp 2.2 framework, this study examines the self-assessed digital competencies of students from Germany, Ukraine, and Kazakhstan across five core dimensions, aiming to identify national differences and potential misalignments between perceived and reported digital competences.
Methods: A cross-sectional online survey (n = 269) was conducted among students in health-related fields. Participants rated their digital competence on 15 items aligned with DigKomp 2.2 questionnaire. Quantitative data were analyzed descriptively and with ANOVA (two-tailed, p < 0.05), using Games–Howell post-hoc tests in case of heterogeneity of variances and Kruskal–Wallis/Mann–Whitney tests as sensitivity analyses. In addition, an open-ended knowledge question asked respondents to describe their strategies for finding reliable online information. Responses were analyzed descriptively and qualitatively using inductive coding.
Results: While all groups reported generally high digital competence, German students rated themselves significantly lower in the Digital content creation dimension compared to their peers and the KaWuM reference sample. However, their responses to the open-ended question revealed methodologically advanced search strategies, including systematic literature reviews (n = 8), Boolean operators (n = 6), and use of AI tools (n = 1). Ukrainian students emphasized heuristic and comparative approaches, while Kazakhstani responses reflected pragmatic strategies under infrastructural constraints.
Discussion: The findings suggest a mismatch between self-assessed and actual digital competence, particularly among German students, who may underestimate their skills. This highlights the importance of triangulating quantitative self-reports with qualitative diagnostics. The study underscores the need for embedded digital skills training, especially in Digital content creation, across national contexts in health education.
Development of an Interface for the Synchronization of Delivery Dates in an ERP Migration Phase
(2025)
This paper focuses on designing a robust interface solution for synchronizing critical delivery dates during a complex ERP migration phase, necessitated by the parallel operation of a legacy system and a new target system. The core challenge is that automatic rollback operations triggered between the synchronized ERP systems—due to technical errors—are systematically not communicated to the downstream PPC systems (Production Planning and Control systems). This data inconsistency leads to significant business risks, including production disruptions, delivery delays, and increased inventory costs. The developed solution implements an API-centric approach based on Microservices principles to ensure loose coupling between the systems. It utilizes a two-stage synchronization mechanism to proactively resolve these inconsistencies. First, a time-delayed individual validation employs a strategic 30-minute buffer time to guarantee that potential ERP rollback operations are completed before consistency checks with the PPC system begin. Second, a comprehensive nightly consistency validation systematically reviews all business-relevant delivery dates within a defined time window and initiates automatic corrections. The system's status-based processing model, combined with comprehensive logging and a "Live-Feed" Web Interface, guarantees transaction security and complete traceability. This approach successfully minimizes business risks during the critical transition and offers an effective design pattern for handling rollback situations in similar complex, heterogeneous integration projects.
The automotive industry is currently facing significant uncertainties and challenges. At the same time, efforts to achieve emission-free mobility are leading to power train diversity. In this complex environment, it is essential for car producers to define an efficient and resilient production strategy of future car production networks. This article provides a universal approach and simulation model to evaluate production strategies considering power train diversity. A case study, mirroring possible scenarios for automotive manufacturers, shows that a certain proportion of mix production can have an advantage in terms of resilience compared to a highly efficient pure-variant network, especially by marked uncertainties.
The purpose of the study is to examine how international cooperation contributes to strengthening Kazakhstan's position as an educational hub. Although global academic partnerships are widely recognized major pillars of higher education modernization, few studies have explored Kazakhstan's strategic positioning and the management mechanisms supporting its internationalization efforts. This study introduces a novel comparative framework analyzing how Kazakhstan’s internationalization strategies differ from regional counterparts and evaluates the governance mechanisms shaping its academic partnerships.The methodology consists of a mixed-method approach, including statistical analysis, comparative assessment of universities rankings, as well as content analysis of academic reports. It uses a pragmatic research framework that combines quantitative and qualitative insights in understanding international cooperation: however, its impact faces challenges, including the limitations of secondary data since they can hardly showcase some of the vital institutional obstacles surrounding global academic collaboration.The novelty lies in the systematic evaluation of management strategies that further international partnerships in higher education in Kazakhstan. In contrast to past studies that largely dealt with the overall consequences of internationalization, this study additionally explores feedback mechanisms and strategic approaches that enable and enhance global engagements for universities.The findings show international partnerships improve the quality of education, curriculum development, influence research output, and attract foreign students and faculty. The study reveals that Kazakhstani universities are expanding their international networks even further despite the bureaucratic barriers and unequal institutional participation in international partnerships.This research contributes to the current discourse on higher education internationalization by means of taking Kazakhstan as a concrete case to demonstrate how targeted management strategies could make national education systems stronger in developing countries. Findings suggest specific practices for universities to enhance competitiveness and ensure sustainable growth in international academic cooperation.
The world economy is a system that is constantly evolving. Organizations must introduce creative initiatives in a competitive environment and abandon the usual business models to attract consumers. The global COVID-19 pandemic has thrown new challenges to the global economic system, driving it into a rigid survival framework. In such a situation, many organizations felt vulnerable and unable to compete. Others have begun to use innovative resources to retain their customers. The "service economy" concept has powerful potential for creating new opportunities in a crisis.The study aims to assess the Kazakhstani entertainment industry and predict development directions in the context of the global entertainment industry trends against the background of servitization processes. The research subject is the processes of servitization in the entertainment industry. The application of the positive approach resulted in the analysis of secondary information and quantitative research in the form of an online survey using the Google Form platform. When interviewing 60 respondents, non-probability convenience and judgmental sampling were used - the survey-involved students of Kurmangazy Kazakh National Conservatory and Al-Farabi Kazakh National University. The study's limitations are related to the study of show business, including music, cinema, and television. Looking at a broader range of entertainment industries requires more research. The conclusions drawn from the study results illustrate the typical situation for the Kazakhstani entertainment industry.
Öffentliche Investitionen, resilienzorientierte Angebotspolitik und der mentale Multiplikator
(2025)
Modellierung von (menschlicher) Arbeit in Fabriken : Kriterien zur Auswahl passfähiger Methoden
(2025)
Kleine und mittlere Unternehmen (KMU) stehen vor der Herausforderung, in einer zunehmend datengetriebenen Wirtschaft wettbewerbsfähig zu bleiben, verfügen jedoch häufig über begrenzte Ressourcen für den Aufbau von Datenkompetenzen. Um diese Unternehmen zu unterstützen, wurde das Projekt DataLab WestSax als Reallabor, ein Testraum für Datennutzungsideen, zur Förderung datenbasierter Innovationen eingerichtet. Auf Basis der Erkenntnisse aus den dort entstandenen Kooperationen zwischen Forschung und Industrie wird in diesem Beitrag diskutiert, wie KMU erfolgreich datenbasierte Wertschöpfung implementieren können. Methodisch stützt sich die Untersuchung auf das Konzept des Engaged Scholarship. Aus der Analyse von sieben ausgewählten Kooperationsprojekten (den sogenannten Realexperimenten) im Rahmen von DataLab WestSax werden vier zentrale Prinzipien für erfolgreiche datenbasierte Wertschöpfung in KMU abgeleitet: grundlegende Datenkompetenz für alle Mitarbeiter, präzise Datenkommunikation, Nutzung von Wissenstransfer und opportunistischer Aufbau von Datenwertschöpfungskapazitäten. Die Ergebnisse zeigen, dass KMU oft einen Prozess der „Datenbricolage“ durchlaufen – eine pragmatische und kreative Nutzung vorhandener Ressourcen. Dies steht im Kontrast zu oft propagierten, stark formalisierten und ressourcenintensiven Ansätzen der Datenwertschöpfung, die für viele KMU nicht realisierbar sind. Datenbricolage erweist sich daher als ein notwendiger Schritt für viele KMU auf dem Weg zur Professionalisierung ihrer Datenwertschöpfung. Die im Beitrag vorgestellten Prinzipien können KMU dabei als Leitfaden dienen, um ihre Infrastruktur zu entwickeln, ihre Datenkompetenz zu erhöhen und letztendlich ihre Wettbewerbsfähigkeit in einer zunehmend datengetriebenen Wirtschaft zu stärken.
Der Artikel thematisiert die Institutionalisierung einer akademischen Nachwuchsförderung an HAW an einem Fallbeispiel. Aufbauend auf einem Qualifizierungsmodell und einer durchgeführten Mitarbeiterbefragung werden Handlungsansätze mit dem Ziel einer strategischen und operativen Förderung des wissenschaftlichen Nachwuchses durch gezielte Personalentwicklung und -bindung sowie Vernetzung vorgestellt und diskutiert. Identifiziert werden spezifische Arbeitsanforderungen und Qualifizierungsbedarfe sowie geplante (akademische) Karrierewege und die wahrgenommene Unterstützung und fachliche Einbindung als Faktoren der Bleibe- und Leistungsmotivation.
Low-code approaches can accelerate decision-making in the semiconductor industry by streamlining simulation-driven insights. This supports the paradigm shift to Industry 4.0 and Industry 5.0 by enabling rapid development and optimized workflows. However, existing simulation methods often require extensive coding expertise, limiting accessibility and slowing down model development. This paper presents a simulation template that streamlines the development of discrete event simulation models in semiconductor manufacturing. Thus, the simulation template implements reusable components to simplify model creation and reduce development time. The approach encourages collaboration between technical and nontechnical stakeholders. Combined with a low-code data farming framework, the simulation template increases agility, accelerates experimentation, and supports efficient, data-driven production planning decisions.
An individual’s digital mindset is crucial to navigating digital transformation. Current studies reveal a lack of construct clarity jeopardizing further research. We address this gap by conceptualizing the construct and its multidimensionality, and by developing and validating a scale. Following a multi-grounded theory approach (n = 28) we identify three dimensions of digital mindset: digital consciousness, digital expertise, and digital business acumen. Subsequently, we developed and validated the digital mindset scale in five phases. We generated 95 items. Exploratory (n = 167) and confirmatory (n = 658) factor analyses supported the dimensions. We added items and reassessed the psychometric properties (n = 152), and established convergent and discriminant validity (n = 243). Finally, we examined relationships with innovative and entrepreneurial behavior, supporting nomological and incremental validity (n = 145). Our research paves the way for empirical studies and equips practitioners to assess employees’ digital mindset throughout the professional lifecycle.
