The tourism industry has faced several challenges over the years, due to the evolution of technology and behavioral changes of the generations. The research focused on the new generation of tourists, Generation Z. Known as digital natives, the study aimed to identify their current travel behavior in the digital age and their perception of the future of travel in the context of recent technological developments, namely artificial intelligence, and virtual reality, thus highlighting specific elements that could disrupt the travel industry. To achieve this goal, qualitative research was conducted, using two sessions of focus groups among 20 Generation Z tourists. The results show that Generation Z tourists exhibit disruptive behavior primarily due to their heavy reliance on social media platforms, even for travel purposes. Social media has become their primary search engine, and travel influencers hold significant sway over certain individuals in this generation. In addition, they serve as influencers, by sharing visual content from their travels. Another noteworthy trend in the travel industry is Generation Z’s inclination towards multi-channel booking, effortlessly switching between different booking options. Lastly, although the results show little awareness of the potential of advanced technologies, their openness to adopt them to simplify the travel planning process further contributes to the disruption of traditional travel patterns. Generation Z can be considered a bridge between previous and future generations. The study has implications for management and marketing activities in the tourism field.

The paper analyzes the input-output structure of European economy in 2010, based on six main economic sectors, for better characterizing the backward and forward linkages of interindustrial economic flows. The changes of final demand and of sectoral production can be analyzed in the propagation processes, allowing to know the behavior at macroeconomic level of European economy. The common economic policies at European level can be undertaken to keep the equilibrium between different sectors, to stimulate the sectors with high levels of productivity, to ensure the efficiency of using the resources, and the sustainability of economic development, which are the purposes of a smart development.

Economic growth can be seen as an effect of both fiscal policies and different legislative norms applied at national and macroeconomic level. Investments are a determining factor in the evolution of socio-economic life, influencing also the employment rate. This paper aims to identify the influence of investments on economic growth and employment using the vector autoregressive model (VAR). Based on the quarterly data from Romania, between the first quarter of 2000 and the second quarter of 2018, the Granger causality test and the impulse - response function was applied to identify the effect of the investments on the sustainable development of the Romanian economy. The results revealed that investments in Romania influence the economic growth and, implicitly, the employment. In terms of impulse – response function, a negative relationship between investment and employment was identified, which may be due to the fact that the need for human resources is no longer a priority in some sectors of activity due to technology.

The Covid-19 induced economic crisis has significantly affected almost all businesses from nearly every sector, causing severe financial problems, lack of cash assets, and decrease of revenues. In this context, the economic entities were forced to look for adjustment and rescue solutions of their activities. One possible solution for the recovery and reorganization of economic entities’ activities is demerger. This paper evaluates the impact of demerger upon the sustainable development of economic entities in terms of economic efficiency and financial performances. To achieve this goal, a statistical analysis of profitability ratios before and after the demerger, as well as a structural analysis of 268 demerger projects for the April 2012–April 2021 period, were performed. The results attest there are no significant differences between the ex-ante and ex-post financial performances. However, demerger seems to have a positive effect upon analyzed companies helping them to overcome economic hardships, rethink their business strategies, and continue their activity in the medium and long-term time horizon.

The paper follows the demerger phenomenon in Romania in order to find out whether companies regain their economic performance after reorganization. The research is based on four samples of companies, divided into 2012, 2013, 2014, and 2015, that recorded their financial indicators in the period from 2005–2019. Using the financial indicators of companies that demerged in the same year, we analyzed the economic performances before and after the demergers, using statistical and econometric methods. The model with the fixed effects of the cross sections proved to be the most suitable for each panel, both for the entire analyzed period and for the two subperiods: ante and post demerger. The subperiod models are better than the panel econometric models for the entire period. The results show that all of the Romanian companies recovered after the demergers, and also to what extents. The validities of the econometric models confirm the sustainability of the economic activities after the demergers. This paper provides a study methodology and econometric models to investigate the demerger phenomenon among Romanian companies.