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EN
The aviation market is one of the most dynamic factors determining economic develop-ment in the world. In addition, it is susceptible to economic and political crises. The air services market is also characterized by a very large diversity of clients within the market segments. Adaptation of an appropriate business model may be a condition for success, with the increase of ASK, RPK and LF ratios. The aim of the work is to indicate the basic elements of business models of airlines that make up the hybrid model. The article also describes the evolution of Ryanair, which from the carrier emphasizing the lowest price aspires to the carrier offering flights with better quality than its competitors. The source materials of the study are available literature on the subject, own analysis based on secondary sources.
PL
Dynamicznie rozwijający się rynek usług lotniczych jest ważną determinantą rozwoju gospodarczego, choć jest podatny na kryzysy ekonomiczne i polityczne. Segment usług lotniczych charakteryzuje się również bardzo dużym zróżnicowaniem klientów w ramach segmentów rynku. Dostosowanie odpowiedniego modelu biznesowego może warunkować osiągnięcie sukcesu, tj. przy podwyższeniu wskaźników ASK, RPK oraz LF. Celem artykułu jest wskazanie podstawowych elementów modeli biznesowych linii lotniczych, ze szczególnym uwzględnieniem modelu hybrydowego. Jako przykład posłużyły linie lotnicze Ryanair, które z przewoźnika kładącego nacisk na najniższą cenę pretendują do przewoźnika oferującego przeloty z lepszą jakością niż konkurencja. Materiałami źródłowymi opracowania jest dostępna literatura przedmiotu oraz własne analizy oparte na źródłach wtórnych.
EN
Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. Purpose of the article: This study aims to verify and evaluate the possibility of using Google Trends data for poetry book demand forecasting and compare the results of the application of the statistical methods, neural networks, and a hybrid model versus the alternative possibility of using technical analysis methods to achieve immediate and accessible forecasting. Specifically, it aims to verify the possibility of immediate demand forecasting based on an alternative approach using Pbands technical indicator for poetry books in the European Quartet countries. Methods: The study performs the demand forecasting based on the technical analysis of the Google Trends data search in case of the keyword poetry in the European Quartet countries by several statistical methods, including the commonly used ETS statistical methods, ARIMA method, ARFIMA method, BATS method based on the combination of the Cox-Box transformation model and ARMA, artificial neural networks, the Theta model, a hybrid model, and an alternative approach of forecasting using Pbands indicator.  The study uses MAPE and RMSE approaches to measure the accuracy. Findings & value added: Although most currently available demand prediction models are either slow or complex, the entrepreneurial practice requires fast, simple, and accurate ones. The study results show that the alternative Pbands approach is easily applicable and can predict short-term demand changes. Due to its simplicity, the Pbands method is suitable and convenient to monitor short-term data describing the demand. Demand prediction methods based on technical indicators represent a new approach for demand forecasting. The application of these technical indicators could be a further forecasting models research direction. The future of theoretical research in forecasting should be devoted mainly to simplifying and speeding up. Creating an automated model based on primary data parameters and easily interpretable results is a challenge for further research.
EN
The Standard Generalised Autoregressive Conditionally Heteroskedastic (sGARCH) model and the Functional Generalised Autoregressive Conditionally Heteroskedastic (fGARCH) model were applied to study the volatility of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) model, which is the primary objective of this study. The other goal of this paper is to expand on the researchers' previous work by examining long memory and volatilities simultaneously, by using the ARFIMA-sGARCH hybrid model and comparing it against the ARFIMA-fGARCH hybrid model. Consequently, the hybrid models were configured with the monthly Brent crude oil price series for the period from January 1979 to July 2019. These datasets were considered as the global economy is currently facing significant challenges resulting from noticeable volatilities, especially in terms of the Brent crude prices, due to the outbreak of COVID-19. To achieve these goals, an R/S analysis was performed and the aggregated variance and the Higuchi methods were applied to test for the presence of long memory in the dataset. Furthermore, four breaks have been detected: in 1986, 1999, 2005, and 2013 using the Bayes information criterion. In the further section of the paper, the Hurst Exponent and Geweke-Porter-Hudak (GPH) methods were used to estimate the values of fractional differences. Thus, some ARFIMA models were identified using AIC (Akaike Information Criterion), BIC (Schwartz Bayesian Information Criterion), AICc (corrected AIC), and the RMSE (Root Mean Squared Error). In result, the following conclusions were reached: the ARFIMA(2,0.3589648,2)-sGARCH(1,1) model and the ARFIMA(2,0.3589648,2)-fGARCH(1,1) model under normal distribution proved to be the best models, demonstrating the smallest values for these criteria. The calculations conducted herein show that the two models are of the same accuracy level in terms of the RMSE value, which equals 0.08808882, and it is this result that distinguishes our study. In conclusion, these models can be used to predict oil prices more accurately than others.
PL
W swojej najnowszej książce Cyberchoroby psychiatra, ekspert w problematyce mózgu człowieka i trudności związanych z nadmiarem mediów M. Spitzer podkreśla prawdy mocno i często dziś wygłaszane, iż cyfrowa technologia informacyjna jest w naszym społeczeństwie wszechobecna. Błyskawiczne rozpowszechnienie smartfonów w ciągu ostatnich pięciu lat spowodowało, że zakres wykorzystywanych cyfrowych technologii informacyjnych gwałtownie wzrósł, ponieważ smartfon bezustannie nam towarzyszy – zawsze jest w zasięgu ręki. Immersja, a więc zanurzenie w cyfrowy świat, zwiększyła się także radykalnie, powodując wirtualizację człowieka i społeczeństwa. Człowiek coraz częściej staje się hybrydowy: realno-wirtualny. Proces ten przyspiesza i radykalizuje się, głównie ze względów ekonomicznych. Pytania o zdrowie fizyczne i psychiczne pozostają często bez odpowiedzi. Dlatego pragnę niniejszym artykułem mobilizować środowiska rodzinne i pedagogiczne do większej troski o realnego człowieka, który będzie dbał o realne relacje, o realną osobowość, która mocna i zdrowa, będzie zapewne podlegać procesom mediatyzacji, pewnie od tego nie uciekniemy, ale wówczas jest nadzieja na realno-wirtualną zdrową, mocną i mądrą osobowość i takież człowieczeństwo i społeczeństwo.
EN
In his latest book Cyberillnesses, a psychiatrist and an expert on human brain issues and problems connected with the media overload, prof. Manfred Spitzer emphasizes facts which are loudly and often expressed nowadays: that digital information technology is ubiquitous in our society. Smartphones have been gaining popular rapidly in the recent five years and the range of use of digital information technologies has grown so drastically because a smartphone is constantly by our side – always at hand. Immersion that is being completely absorbed by the digital world has increased drastically causing virtualization of the man and the society. The man is more and more often becoming a hybrid of reality and virtuality. The process is accelerating and getting more extreme, mostly because of economic reasons. Questions on physi-cal health and sanity often remain unanswered. Therefore, with this article I would like mobile pedagogical bodies to apply greater care to the real man who will care more about real relations and real personality which, being strong and healthy will of course undergo mediatization process-es, it is unlikely that we will avoid it, but then we may hope for a healthy, strong and wise real-virtual personality and society.
EN
The purpose of this article is to present the main directions of changes in the Estonian health care system following the transformation of the national economy and the accession of Estonia to the European Union. Special attention has been paid to the ways of sourcing, and the collection and redistribution of financial resources allocated to health care in different periods of the transformation. The initial changes introduced far-reaching decentralization of the health system, while further reforms led to his re-centralization. The intensity of the re-centralization of finance and health management processes was accelerated after 2008, when the impact of the global financial crisis on the condition of the economy of Estonia was significant. As a result of the introduced changes, Bismarck’s mixed system - a hybrid system - has been formed.
PL
Celem artykułu jest prezentacja głównych kierunków zmian wprowadzanych w estońskim systemie zdrowia po transformacji systemowej gospodarki narodowej i przystąpieniu Estonii do Unii Europejskiej. Szczególna uwaga została zwrócona na sposoby pozyskiwania, gromadzenia i redystrybucji środków finansowych przeznaczonych na opiekę zdrowotną w poszczególnych okresach wprowadzania zmian. Początkowe zmiany wprowadzały daleko idącą decentralizację systemu zdrowotnego, natomiast kolejne reformy doprowadziły do ponownej jego centralizacji. Nasilenie się procesów ponownej centralizacji finansowania i zarządzania ochroną zdrowia nastąpiło po roku 2008, w którym zaobserwowano znaczny wpływ światowego kryzysu finansowego na kondycję gospodarki Estonii. W rezultacie wprowadzanych zmian ukształtował się mieszany system Bismarcka, zwany również hybrydowym.
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