Socio-demographic differences in compulsive buying in Slovakia: A quantile regression approach

Technological changes that come with industrial revolution have largely affected businesses, as well as society. With the current technological shift and Fourth Industrial Revolution, many questions arise regarding the impacts and effects on current ways businesses operate. This study presents a retrospective analysis and overview of previous industrial revolutions. The aim of the retrospective analysis is to identify common characteristics that may lead to lessons learned for the forthcoming Fourth Industrial Revolution and thus complement the current debate on technological change. All previous industrial revolutions have led to change in business environments and new challenges for managers and owners. The findings show that all previous revolutions have led to increase in the number of service jobs created. The key approach of successful countries during the times of industrial revolution has included education as the source of new skills and knowledge necessary for adaption. Countries that were able to produce high skilled people could not only invent, but also adapt to new technologies sooner than others. Similarly, these approaches included introduction of new managerial practices in order to be able to utilize new technologies and new skilled workers effectively. The research article processes secondary data together with literature review on this topic.

In recent years, numerous researches and studies confirm differences between Generations in their values, attitudes, or characteristics. However, the challenge is to get to know the Generation Z, whose individuals are currently entering the labor market for research and practical application. The presented paper aims to expand the knowledge of Generations Y and Z in the field of individualism and self-reliance. This issue is examined concerning independence regarding housing and financial independence to parental help. The aim of the study is an empirical verification of possible similarities and differences between Generations Y and Z. The study is based on an online questionnaire survey. Data were obtained from more than 1,500 respondents of these Generations (born in 1982–2005) in 5 European countries (Czech Republic, Denmark, the Netherlands, Poland, and Slovakia). Data are examined using a two-tailed t-test, Mann-Whitney U test, and regression analysis. The overall findings of the study indicate intergenerational differences in the issue of independence, with Generation Z, unlike Millennials, becoming more self-sufficient at a younger age. Research has also found that women leave the parental household earlier than men. The paper presents the possible influence of the outputs on the working environment and work motivation of the Generations Y and Z.

Acknowledgment
The paper was created with the support of the project SGS-2020-015 “Research in selected areas of management and marketing of organisations in the context of demographic and technological changes.”

As an upper-middle-income country, Armenia should develop and implement targeted policies, such as increased R&D investments, education reforms, and industry-academia collaboration, to enhance its innovation performance. Strengthening these areas is expected to contribute to higher Global Innovation Index (GII) rankings, reflecting improved national innovation capacity.
This study aims to estimate the impact of various GII components (including pillars, sub-indices, and sub-pillars) on the overall GII and pillar scores for upper-middle-income countries. Based on these findings, the study seeks to identify Armenia’s key policy priorities and provide targeted recommendations for enhancing its innovation performance. This study employs a cross-sectional regression to analyze the factors influencing GII scores in upper-middle-income countries, assessing the impact of sub-indices, pillars, and sub-pillars. The analysis reveals that market sophistication and creative outputs strongly influence GII scores among upper-middle-income countries, contributing significantly to national innovation performance. Additionally, knowledge and technology outputs, human capital and research, and infrastructure pillars show a statistically significant impact at the 5% level. Notably, even minor improvements in innovation output sub-index scores account for substantial variations in GII rankings. These findings suggest that Armenia should prioritize targeted education reforms, increase R&D investment, and strengthen university-industry linkages to enhance its innovation ecosystem and improve its global competitiveness.

Acknowledgment
The research was supported by the Science Committee of the Republic of Armenia within the framework of the project No. 21T-5B234.