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• Algorithmization in Playful Way

  105-111

  Attila Vámosi

  Views:

  97

  In the “Extending the Technical Researcher Capacity, Developing Research Services and Building a Knowledge Square in Engineering Education” sub-program of the EFOP-3.6.1-16-2016-00022 "Debrecen Venture Catapult Program" project a research group on engineering and innovation skills was founded. This team undertook to develop skills development workshops for high school students in connection with mathematics, physics, descriptive geometry and informatics topics. In this paper the "Algorithmization in playful way" workshop will be presented, where we develop the student's algorithmic skills by playing computer games.

• Historical Aspects of the Internationalisation of the Higher Education as Historical Examples of Innovation and Knowledge Transfer

  87-97

  Péter Miklós Kőmíves

  Views:

  225

  The internationalisation of the higher education is one of the most actual topics of the education management nowadays. It can bring a solution for the problems of the Hungarian higher educational institutions caused by the demographically expected decrease of the number of students. The internationalisation of the higher education is not a new-fangled phenomenon however it became much popular in the last decades and it has been spread globally. The aim of this article to show the historical aspects of the internationalisation in higher education based on literature review and research.

• What Drives The Diffusion of AI Recruitment Systems in Swiss HRM? The Importance of Technological Expertise, Innovative Climate, Competitive Pressure, Employees’ Expectations and Contextual Factors

  1-43.

  Guillaume Revillod

  Views:

  26

  This study examines organizational, environmental, and contextual factors influencing the diffusion of artificial intelligence recruitment systems in human resources management within Swiss organizations. Based on a survey provided to 324 private and public Swiss HR professionals, it explores how some technology-organization-environment theoretical framework predictors' as well as innovative climate provided by organizations influence the three stages – evaluation, adoption, and routinization ­– of diffusion of this innovation. To do this, the following article is based on a PLS-SEM structural equation model. Its main findings are that technological expertise, innovative climate, competitive pressure, and expectations regarding future use of the tool by organizations working in the same field are directly linked to the spread of this type of AI tool. However, public-sector organizations are more reluctant about using this type of tool. This aversion can, however, be moderated by an innovative climate and the fact that the HR function plays an active part in an organization's strategic direction. This said, this article makes a significant contribution to the literature about the diffusion of emerging technologies in organizations.