Generolo Jono Žemaičio Lietuvos karo akademija

Family businesses are identified in many instances as small-scale entities. However, among family businesse, there are many huge corporations, and many of the world’s best-known brands are classified as being family orientated. They generate large revenues, which play a very important role in the global economy. In Poland, several examples of well-known brands belonging to families can be found, such as Mokate, Comarch and Farmacol. The aim of the article is to present selected large Polish family businesses against the background of some of the largest family businesses globally and to determine the difference between them. The research followed an empirical approach and is based on the analysis of secondary data sources, such as Ernst & Young Family Business Yearbook report series from 2015-2017, the Global Family Business Index ranking, and studies on Polish family businesses. The analyses confirmed that many of the global largest enterprises are indeed family businesses. The importance of family businesses in the economy is evident by the fact that in 2015, enterprises from the Global Family Business Index generated revenues higher than the GDP of most countries in the world. None of the large Polish family businesses have yet found their place in the analysed ranking, but also, in Poland, family businesses play a significant role, and some of them generate revenues of several billion dollars. Familism does not prevent enterprises from achieving a significant position in the market the largest family businesses in the world play such a strong role that their success or failure may affect the condition of the entire economy. Polish family businesses are not yet included in this group, but they are constantly growing. It can, therefore, be anticipated that in a few years, Polish family businesses will have a good representation in the Global Family Business Index and will help to ensure sustainable development of the Polish economy.

The aim of the article is to explicate methodology, facilitating the evaluation of biomass cluster‘s impact to the growth of the energetic independence and national security. The analysis of the biomass clusters‘ impact to the energetic security is related to the critical analysis of the resources as well as to the analysis of the secondary data. The conception of a biomass cluster is relatively new as it emerged basically given the complex geopolitical situation and the aim of the pursuit for some energetic alternatives. The cluster unites enterprises, operating in some certain region and engaged in biomass preparation, logistics and burning. The main impetus of the cluster activity is the objective of the consumers‘ provision by some local renewable energy. Some serious issues, related to the energetic resources consumers‘ behaviour, are often occurring in the states where import-based structure of energy prevails. Lacking some competition and local production, both energetic and national state security is “walking with a limp“. Under the above circumstances, a biomass cluster may become a counterweight from monopoly-based import, ipso facto, increasing national security of the state itself. In the latter case, some stable energy supply would be assured and the price would be based on the market but not on the shifts of the geopolitical situation. The authors have created the following research methodology, contributing the evaluation of the benefit of the local resources use.

The objective of this article is to develop a methodology in order to implement real-time customers segmentation analysis in the decision making process of the enterprise. A review of big data usage in retail stores was conducted along with a document-based descriptive analysis of secondary data and further critical literature analysis. Decision making strategies and flow charts were used for the development of competitiveness methodology by referring to a case of a supermarket chain. Customer segmentation researchers analyse mainly the algorithms or behaviour pattern behind the clustering process; however, neither of them offers a proper strategy for implementing a realtime customer segmentation process inside the enterprise. Sustainable competitiveness advantage may be achieved by implementing the segmentation theory with concepts of data mining and internet of things (Iot). The process of developed data mining shows many ways for the enterprise to maximize competitiveness. However, time and large investments may be required to develop proper methods for unique solutions. A concrete case study of the selected retail store should be analysed before implementing the real-time customer segmentation methodology inside the enterprise. There is a multicultural population in every market that has different culture, beliefs, preferences and shopping patterns; therefore, constant analysis is essential for efficient usage of customer segmentation. Practically none of the prior research results carried out by other authors offered a concrete methodology how to implement real-time customer’s segmentation inside the enterprise. The authors created such a methodology that can provide sustainable long-term competitiveness advantage.