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Cyber security in family businesses - empirical assessments from the perspective of German SMEs
(2020)
Organizational Aspects of Cyber Security in Family Firms – an Empirical Study of German Companies
(2021)
Adoption of artificial intelligence technologies in German SMEs — Results from an empirical study
(2021)
One Single Click is enough – an Empirical Study on Human Threats in Family Firm Cyber Security
(2021)
The effect of personality and gender on individuals' propensity for corruption and corrupt behavior
(2020)
Preliminary study: Polishing force measurement by viscosity - the return of ketchup polishing
(2021)
Direct Digital Manufacturing - The Role of Cost Accounting for Online Hubs to Access Industry 4.0
(2021)
DEKXTROSE: An Education 4.0 Mobile Learning Approach and Object-Aware App Based on a Knowledge Nexus
(2020)
The exponential growth in knowledge coupled with the decreasing knowledge half-life creates a challenging situation for educational programs - particularly those preparing software engineers for their very dynamic high-technology field. Teachers in high technology education areas are challenged in selecting and making relevant knowledge intuitively accessible to students, especially with regard the highly dynamic digital and software technologies. This paper contributes a knowledge nexus-based multimedia approach aligned with Higher Education 4.0 for creating learning apps on mobile devices that support multiple didactic models, leverage intrinsic curiosity and motivation, support gamification, and enable digital collaboration. Object recognition is used to trigger learning paths, and various didactic methods are supported via workflow-like learning flows to support group or team-based learning. A prototype app was realized to demonstrate its feasibility and an empirical evaluation in software engineering shows the didactic potential and advantages of the approach, which can be readily generalized and applied to the arts, sciences, etc.
Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies
(2020)
Learning for E-Learning
(2020)