The aim of this paper is to examine the impact of work engagement of different generations on organisational engagement. In addition, the study seeks to determine whether there is a difference in work engagement and organisational engagement across generations. Data, gathered from a sample of 3 039 employees in Lithuania, were analysed through the Kruskal-Wallis test and the structural equation modelling (SEM). The non-parametric analysis (Kruskal-Wallis test) was performed to determine if there were statistically significant differences between the level of work engagement and the level of organisational engagement of employees across four different generation groups. The multi-group SEM analysis was used for testing the differences in the impact of work engagement of different generations on organisational engagement. The study confirmed the hypothesis that work engagement has a positive impact on organisational engagement for all generations. Moreover, statistically significant differences were found between the level of work engagement and the level of organisational engagement across generations. This study expands current knowledge on the interrelationship between work engagement and organisational engagement. Further, the level of work engagement and organisational engagement revealed in the context of generations makes for a novel contribution to the topic of employees’ engagement in the perspective of different generations.

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic

This article analyzes the application of artificial intelligence in the tourism sector in Lithuania, Latvia, and Sweden. This paper aims (1) to identify the benefits of AI-based digital tools for the operations of tourism organizations, and (2) to identify the challenges in using AI-based digital tools in tourism organizations. An analysis of scientific literature has been carried out and the primary data have been obtained from 17 semi-structured interviews conducted in tourism enterprises of three countries. The survey sampling method used is criterion sampling. The data were analyzed using qualitative content analysis, applying a conventional approach to content analysis using an inductive coding process. The main benefits of AI-based digital tools for tourism organization activities are personalization of services, automation and increased operational efficiency of tourism organization activities, etc. Tourism organizations implementing or already using artificial intelligence in their activities are usually faced with the challenge of ensuring data privacy and security, the high costs of implementing artificial intelligence systems, etc.

The paper aims to analyze internal and external communication between employees of different generations and emerging problems in Lithuanian, Latvian, and Swedish tourism organizations. The secondary data has been obtained from scientific literature and the primary data from 12 semi-structured interviews conducted in tourism enterprises of the three countries. The survey sampling method used – criterion sampling. The data were analyzed using qualitative content analysis, applying a conventional approach to content analysis using an inductive coding process. The results show both internal and external communication problems of different generations of employees in tourism organizations in Lithuania, Latvia, and Sweden. The qualitative research confirms the cognition in the scientific literature that communication problems are particularly evident between the younger (Generation Z and Generation Y) and older generations (Baby Boomer Generation and Generation X). Based on the study's results, employees of different generations can communicate more effectively in tourism organizations and other organizations with intergenerational employee diversity. The research's added value comprises the matrix of the most effectively applied communication channels and tools recommended for intergenerational employees in a tourism organization, which may be used to improve intergenerational communication.

The aim of this article is to analyse career engagement of different generations in the Information and Communication Technology (ICT) sector in Lithuania. The research is based on the Kaleidoscope Career Model and Career Engagement Scale. The research included 571 representatives of Generation X and Generation Y living in Lithuania, EU, and those working in the ICT sector and/or studying in the area of Informatics. The Pearson correlation analysis and Independent Samples t Test were used for data analysis. The research revealed that career engagement of Generation X in the ICT sector is higher than that of Generation Y and is influenced by a variety of socio-demographic and other factors. The dimensions of the Kaleidoscope Career Model—Authenticity, Balance and Challenge—and their need are more vividly expressed in Generation X than in Generation Y. Statistically significant differences were identified in career engagement of generations X and Y and Balance and Challenge dimensions of the Kaleidoscope Career Model. Keywords: Career engagement, different generations, Generation X, Generation Y information and communication technology (ICT) sector.

The benefits of learning analytics for education are discussed in the article. First, at the theoretical part authors reveal the concept of learning analytics also discuss how learning analytics technologies help to improve the teaching and learning process. Second, the article emphasizes the increasing use of technology in education what goes hand in hand with the areas of learning analytics and artificial intelligence in education, also the particular focus on how data can be used to improve the teaching-learning process. When teaching/learning takes place in a digitally based learning environment, some learner interaction with the digital learning tool occurs, which leads to a specific learner’s learning experience, which results in high digital data flows. These data describe the individual learning activities of learners in learning systems or the interactions of learners in groups. The analysis of such data is an area of learning analytics. The focus of the article oriented to main beneficiaries – teachers. Moreover, in the article authors discuss the benefits of learning analytics on teachers’ pedagogical work. The empirical part of the article presents the results of a qualitative study: semi-structured interviews with 7 teachers from Norwegian and 10 teachers from Lithuanian, who are applying learning analytics (digital platforms that integrate learning analytics tools) tools in teaching/learning process. The semi-structured interview method allowed to gather the research participants’ insights into the use of learning analytics in schools from the perspective of teachers. Content analysis of the informants’ answers revealed teachers’ opinion on the benefits of learning analytics for teaching and learning, teachers’ competencies to work with learning analytics tools, empowering teachers to use learning analytics tools and to make data-based pedagogical decisions. The comparative analysis allowed disclosing some differences in a way how teachers in Norway and Lithuania approach digital technologies and implement them in teaching-learning process.