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Ppłk dr Bartosz Kozicki
ORCID: 0000-0001-6089-952X

Lieutenant colonel of the Polish Army, Ph.D. in economic sciences in the field of management. He has been holding the position of an assistant professor at the Faculty of Logistics at Military University of Technology. Since January 21, 2020, he has been the Deputy Dean of the Faculty of Security, Logistics and Management.His research interests include mainly the economic and financial issues of the enterprise determined by the field of management. Taking his widespread interests into account, the first question that stands out is the group of problems concerning methods of evaluation within the enterprise activity in both economic-financial and organizational view. He also focuses on issues related to the budget of National Defence Department. He was appointed to the position of an expert in order to nominate the panel on the development of legal and organizational solutions of the planning process within logistical resources and services in National Defence Department. He took part in modelling of planning process within the requirements of the Polish Armed Forces and he served in the mission in the Republic of Iraq. He received the certification from NATO School of Latina, Italy for courses related to Logfas software which are taught at the Faculty of Logistics at Military University of Technology. He is also the author of original works published as articles, non-serial publications, plans, course programmes and research projects.

DOI: 10.33226/1231-2037.2021.7.3
JEL: F170; L11; M15

The article presents data on the number of passengers transported by domestic and international passenger air transport in the United States on a monthly basis in the years 2003–2020 and their forecasting for 2021. The research began with the analysis and evaluation of two time series concerning the number of passengers transported by passenger air transport in the United States in terms of national and international approach. The Klein model was built, which was used to forecast the time series of the number of passengers transported by domestic air transport on a monthly basis for the year 2021. The constructed model is a combination of quantitative and qualitative forecasting.

Keywords: transport; air transport; forecasting; COVID-19; time series analysis
DOI: 10.33226/1231-2037.2021.2.4
JEL: C51, E31, E37, E64

The objective of the article is to carry out a multidimensional comparative analysis of populations and human deaths in European countries in terms of economic security. The research applies tools of comparative analysis, first by grouping and unraveling the data and then by their charting and evaluation. The study covers 32 European countries focusing on populations and deaths of people in 2005–2018. The research question has been formulated as: "Will the application of multidimensional comparative analysis of populations and deaths of people in 32 European countries allow to detect any regularities occurring in the phenomenon?"

The article provides multidimensional comparative analyses of dependent variables (32 European countries, years) and explanatory variables (population and human deaths) in terms of the impact on economic security. The results of the studies carried out are repetitive relationships in mononomial intervals — years.

Detecting regularities persistent in populations and human deaths in 32 European countries using multidimensional comparative analyses may allow their predicting in the future. Death rates expressed in percentage points in populations of 32 European countries in 2005–2018 were calculated and enabled observation of similarities in the time series analyzed.

Keywords: population; deaths; multidimensional comparative analyses; economic security
DOI: 10.33226/1231-2037.2020.12.4
JEL: L61

The article discusses the problem of analysis and evaluation of income data and its forecasting for 2019 in the selected company. A lot of research tools were used to analyze the primary time series. They allowed to observe trends in the form of a downward trend and seasonality on a monthly basis. The detected trends were examined by applying further research tools, and by building a threeway multiple regression model. The assessment of the conducted analyzes is unequivocal confirmation of the existence of the trend and seasonality on a monthly basis in the primary time series. It became a direct premise to perform the prediction of the primary time series as a result of the critical analysis of literature and personal experience by means of the Holt-Winters exponential smoothing method.

Keywords: revenues; forecasting
DOI: 10.33226/1231-2037.2020.8.3
JEL: R31, R51

The article deals with the problem of using IT tools to manage inventory at BMW Poland. The aim of the paper is to improve inventory management in the analyzed company by implementing the SRD tool. The research began with the analysis of the research problem in the light of the literature of the subject of research. Then, the indicators used during inventory management in the surveyed company were analyzed and evaluated. The method of comparative analysis was used for assessment, where indicators before and after the implementation of a new inventory management tool in the research entity (2018–2019) called SRD were compared.

Keywords: inventory management; IT systems for inventory management; comparative analysis
DOI: 10.33226/1231-2037.2020.6.4
JEL: D22, O30

In this article the author raises the issue related to the multidimensional analysis and its evaluation of data concerning the price of one square meter of a flat in Poland. The research was conducted in three stages. During the first stage, the analysis and evaluation of original time series were done in relation to the price of one square meter of living space in Poland dynamically. During the second and third stage of the multidimensional analysis, the grouping of data was done. The grouping variable comprised years, quarters and on the basis of them the analysis and its evaluation were conducted. The conducted evaluation of multidimensional analysis is a premise for the choice of forecasting method for the future.

Keywords: outlays/amounts; flat price; multidimensional analysis