Bieszczady są jednym z pasm górskich leżących w polskich Karpatach. Ich walory przyrodnicze i kulturowe przyciągają corocznie do tej destynacji tysiące polskich i zagranicznych turystów. Pomimo wielu objętych ochroną miejsc o szczególnych walorach przyrodniczych (np. Bieszczadzki Park Narodowy, Rezerwat Biosfery UNESCO i obszary Natura 2000) Bieszczady borykają się obecnie z różnymi problemami środowiskowymi i społecznymi, które często wynikają z dynamicznego, ale chaotycznego rozwoju turystyki na ich obszarze. Brak wspólnej wizji długofalowego rozwoju turystyki (na poziomie gminnym i regionalnym) stanowi jedno z głównych wyzwań, przed którym stoją obecnie podmioty publiczne i prywatne wielu gmin bieszczadzkich. W artykule zaprezentowano rezultaty wdrożenia innowacyjnej metody zarządzania destynacjami – The St.Gallen Model for Destination Management (SGDM) – w wybranych bieszczadzkich gminach. Zastosowana metoda umożliwiła lokalnym „aktorom” turystycznym (publicznym i prywatnym) przystąpienie do procesu holistycznego zarządzania miejscami recepcji turystycznej poprzez identyfikację kluczowych segmentów rynku. W pracy przedstawiono pierwszą próbę zastosowania metody SGDM w Polsce.
The Bieszczady mountains are one of the ranges of the Polish Carpathians. Their natural and cultural amenities attract thousands of Polish and international tourists each year. Despite many protected zones existing in this area (e.g. Bieszczadzki National Park, UNESCO Biosphere Reserve and Nature 2000 areas), the Bieszczady mountains face various environmental and social problems which have arisen from their dynamic but often chaotic tourism development. The lack of a common vision of long-term tourism development (on communal and regional levels) is one of the main challenging issues which public and private bodies are confronted with. The paper presents the results of the implementation of an innovative approach, i.e. the St. Gallen Model for Destination Management (SGDM), in selected Bieszczady communes. This method offers a clear advantage for key destination actors by allowing them to enter a process of holistic destination management. The article is the first attempt at SGDM application in Poland.
We sought to identify the level, structure and main features of incentive tourism in Krakow in 2008 and 2009. The analysis was prepared on the basis of Polish and English literature and the results of the authors’ own research. Ordered by the Tourism Marketing Office of the Krakow Municipality, the research was conducted by researchers from the Department of Tourism at the Cracow University of Economics from June through September, 2009. The research concerned a part of business tourism, called MICE, an acronym for Meetings, Incentives, Conferences and Events. As stated above, this analysis focuses only on incentives. Those surveyed for the research were owners of venues with the facilities for MICE tourism. The sample covered the general population and consisted of 240 units. The survey return rate was 50.42%. The number of incentive trips, their seasonality, duration and location in different venues in Krakow were determined and identified. The number of participants was estimated, with foreigners and their countries of origin identified. The identification of the institutional profile of clients ordering incentive trips in Krakow is also presented. The structure of revenues of venues hosting motivation events was also assessed.
The aim of this study was to evaluate the possibility of incorrect assessment of mortality risk factors in a group of patients affected by acute coronary syndrome, due to the lack of hazard proportionality in the Cox regression model. One hundred and fifty consecutive patients with acute coronary syndrome (ACS) and no age limit were enrolled. Univariable and multivariable Cox proportional hazard analyses were performed. The proportional hazard assumptions were verified using Schoenfeld residuals, χ2 test and rank correlation coefficient t between residuals and time. In the total group of 150 patients, 33 (22.0%) deaths from any cause were registered in the follow-up time period of 64 months. The non-survivors were significantly older and had increased prevalence of diabetes and erythrocyturia, longer history of coronary artery disease, higher concentrations of serum creatinine, cystatin C, uric acid, glucose, C-reactive protein (CRP), homocysteine and B-type natriuretic peptide (NT-proBNP), and lower concentrations of serum sodium. No significant differences in echocardiography parameters were observed between groups. The following factors were risk of death factors and fulfilled the proportional hazard assumption in the univariable model: smoking, occurrence of diabetes and anaemia, duration of coronary artery disease, and abnormal serum concentrations of uric acid, sodium, homocysteine, cystatin C and NT-proBNP, while in the multivariable model, the risk of death factors were: smoking and elevated concentrations of homocysteine and NT-proBNP. The study has demonstrated that violation of the proportional hazard assumption in the Cox regression model may lead to creating a false model that does not include only time-independent predictive factors.
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