Forthcoming Articles

Servant, Ethical and Authentic Comparative Analysis of Leadership Styles in the Light of the Challenges of the BANI World

In a globalised and accelerated economy, managers are under increasing pressure to reconcile organisational goals that are independent from human being with the reality of human relationships. The human being, as a being with intellect and senses striving towards happiness, is the focus of positive leadership styles and is their major concern in the field of management theory. In this article, three such positive styles, authentic, servant and ethical leadership principles and their operating conditions are compared using international literature. The literature time span of about two decades shows that the evolution of the ethical leadership literature has slowed down, while the authentic and servant leadership literature has continued to evolve and is still evolving today. The comparative table that appears in this study highlights both commonalities and distinctions, in that, in addition to high moral and ethical standards, the authentic style focuses primarily on the person of the leader, the ethical leader on the ethical standards of the organisation, while the servant leader focuses on the development of the well-being of the subordinate, the other person, even through self-sacrifice.  We intend to use the results of this research to investigate measures of positive styles, preparing the scientific ground for future primary empirical field studies.

Price Analysis Practices in the Pig Sector

The analysis of sales prices has become a particularly important topic in pig production research, including statistical analysis. With globalisation, we can say that today we are talking about a sector constantly exposed to the effects of the world market. It is also worth pointing out that, compared with other sectors, the impact of external regulation and influence is less pronounced. Thus, the aim of the present research was to identify the journal articles published on the subject of price analysis and, on the basis of these, to establish the correlation with the methodologies often used. It examines the spatial location of price analysis. The results obtained show that the practice of price analysis is mainly carried out in the context of market leading countries, usually on the basis of a cross product chain issue. The research shows the emergence in recent years of increasingly sophisticated methodologies that allow more accurate conclusions to be drawn, while also facilitating planning from a practical point of view.

Present and Future of Industrial Robotisation

The following paper analyzing the installation of industrial robotisation in sectors and regions, in addition carry out forcastings on historical data. In recent years, automation and the use of industrial robotics have increased exponentially in the manufacturing sector. Given that companies prioritize enhanced production efficiency, quality assurance, and safety, it is evident that substantial investment and implementation of automation continue to occur in manufacturing facilities worldwide. The number of industrial robots globally has been growing steadily since 2010. However, the rate of growth has slowed from 2020 onwards. The impact of the Covid-19 epidemic was still felt in 2020, but the deployment of industrial robots increased significantly in 2021. Global industrial robot deployment is projected to continue to grow in the coming years, although the rate of increase may vary between regions and countries. The analysis showed a number of differences between regions in the number and growth rate of industrial robot deployments. Asia and Australia are the largest markets for robots and the number of robots deployed is expected to continue to grow in the future. Europe is the second largest market and, although growing at a slower rate, industrial robot deployment is also increasing steadily. In the Americas, growth is slower than in other regions, but still increasing. Global growth trends suggest that there will be further growth in the coming years and that the deployment of industrial robots will become more widespread in different parts of the world.

Analysis of Labor Market Indicators in the Northern Great Plain Region in 2018 and 2022

In my study, I analyze the labor market indicators of the North Great Plain statistical region for the years 2018 and 2022 in order to map the regional labour market characteristics based on the indicators. One method of the analysis is the Beveridge curve. This complex analysis method graphically illustrates the evolution of the relationship between the unemployment rate and the proportion of vacant positions typical of the region under investigation. The results of the analysis can draw attention to possible problems in the labour market in the region. I examine the secondary statistical data in parallel with the available related literature.

Labour Economics - From the Technological Development Perspective

The impact of technological advancements on the labor market and innovation processes is a critically important research area. The aim of this study is to examine the emergence and frequency of technological innovations in scientific publications, with a particular focus on the Journal of Labour Economics from 2000 to 2020. The research employs content analysis methods, searching for eight different terms and expressions related to technological development (e.g., technology, artificial intelligence, machine learning) across 1405 articles. The study also analyzes the number of occurrences and annual publication trends of these terms. A total of 9469 instances were identified, indicating that in 64,7% of the cases, at least one technological term appeared. An analysis of annual trends reveals an increase in the usage of certain keywords (technology, artificial intelligence, and machine learning). In a smaller subset of articles, only 1%, technological terms were mentioned at least 50 times. The results suggest that although the topic of technological development plays a significant role in labor market research, the frequency of its appearance and the depth of analysis vary considerably. The increase in the appearance of technological terms is predominantly observed in the fields of artificial intelligence and machine learning. These findings are specific to a single journal, indicating the need for further research involving other labor market journals to ensure representativeness.

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