Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 6

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
Paper presents research results of modern IT technologies and systems using impact for logistics activities in Polish food processing enterprises. Results indicate that a higher used IT solutions advancement level and, consequently, incurred expenditures on IT infrastructure do not directly translate to lower logistics costs. A clear relationships, according to which a higher IT solutions advancement level translates into a better company market position in the field of logistics and a higher level of knowledge about logistics solutions were found. Results confirmed productivity paradox existence in Polish agri-food processing companies identified earlier in relation to financial results.
EN
Results of studies on IT solutions advancement, financial situation, logistic costs, market position, and IT support for logistics quality level in Polish agri-food production companies are presented in the paper. This sector is very dispersed (98.9% are small and medium companies, and 69.7% with employment under 10 persons). Research was based on survey conducted among 511 food processing companies in 2010-2011. Results showed no correlation between IT solutions advancement and financial situation of company except for dairy and meat industries. In all industries an association between IT advancement level, market position and quality of computer support for company logistics was detected.
EN
Paper reports partial results of survey conducted to explore logistics processes among Polish food processing and agribusiness companies. Data gathered from survey conducted in 2009 and 2010 were used. Investigated companies were divided into four categories: (1) up to 9 employees, (2) 10-49 employees, (3) 50-249 employees and (4) 250 employees and more. Survey was carried out to quantify three research areas: (1) Logistic investments scale among agri-business companies; (2) Knowledge of solutions for logistics; (3) Plans to acquire new logistic solutions and existing logistic base modernization. To the best of our knowledge, this research is the first trial that focuses on logistics processes in the Polish agri-business enterprises. This study provided real data about the organization, management and logistics costs in the food processing companies in Poland, covering all agri-business sectors and companies of all sizes.
EN
The paper considers concepts of Living Labs and e-learning used as a main medium for organizations and individuals collaboration. A living lab is engaging users, companies, universities, governmental bodies in research and innovation a user-centered, open-innovation ecosystem. E-learning techniques, especially Learning Objects pay special role in such environments as they are able to collect and distribute information and knowledge. The paper considers diagrams showing information flow within Living Labs and internal structure of Learning Objects with more user centered approach.
PL
Celem niniejszej pracy było porównanie wyników szacowania rezerw metodami tradycyjnymi: model Macka, modele GLM z szacowaniem zmienności metodą bootstrap oraz metody Bayesa MCMC. Analizy przeprowadzone zostały na danych jednej z dużych amerykańskich firm ubezpieczeniowych. Takie porównanie, może być jednym z głosów w dyskusji, w kontekście trwającego aktualnie procesu tworzenia standardów rachunkowości ubezpieczeniowej oraz systemów monitorujących adekwatność rezerw.
EN
Building reserves for liabilities is an important issue in the financial statement o f a general insurance company. The purpose o f this paper is to present models for prediction IBNR (incurred but not reported) reserves. The modeling is based on data which describes the claims settlement o f a car insurance portfolio - the data consists o f about 60,000 claims, which incurred in 2001—2006. Several models o f the claims prediction are proposed, from estimation in traditional deterministic Chain Ladder and the Poisson GLM model (Kramer 1998) - commonly used techniques in practices - to Markov Chain Monte Carlo. The models presented show the significant differences in variance o f IBNR reserves. From that point o f view the Bayesian approach has some characteristics that make it particularly attractive for their use in actuarial practice.
PL
Polski przemysł wyrobów tytoniowych przechodzi w ostatnich latach znaczące przemiany związane z akcesją Polski do Unii Europejskiej. Stanowi on ważny sektor polskiej gospodarki generując 7,5% dochodów budżetu państwa. W pracy porównano prognozy spożycia papierosów w latach 2006-2010 przygotowane w oparciu o wybrane modele wyrównywania wykładniczego oraz autoregresyjne na podstawie danych historycznych z lat 1995-2005. Główną uwagę skoncentrowano na trendzie w prognozach. Identyfikację modeli autoregresyjnych przeprowadzono przy użyciu metod typu „corner” oraz rozszerzonej funkcji autokorelacji. W celu zwiększenia wiarygodności, prognozy przygotowano z uwzględnieniem zidentyfikowanych wartości odstających. Uzyskane wyniki porównano z danymi szacunkowymi uzyskanymi z Głównego Urzędu Statystycznego oraz z wynikami prognoz uwzględniających jako dodatkową zmienną produkcję papierosów przygotowanymi z zastosowaniem techniki „prewhitening”. Przeprowadzono dyskusję zalet i wad zastosowanych metod.
EN
Polish tobacco industry has been recently changing significantly due to accession of Poland to EU. It is one of the prime sector of polish economy. It generates every year about 7% of budget incomes on average. The aim of this paper is to compare some forecast methods of cigarettes consumption in 2006-2010. The models used exponential smoothing and autoregression theory. The forecasts were estimated on historical data from 1995-2005. The main attention was focused on the trends in prediction. Identification, the most crucial stage in fitting autoregressive models exploited different approach such as the comer method and extended sample autocorrelations. The outlier selection techniques were also applied to get more reliable estimates. The results were compared to the predicted values obtained from Central Statistical Office and to the results of forecasts taking cigarettes production into consideration due to prewhitening technique. The advantages and drawbacks of different methods are discussed.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.