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11.
In Poland, in recent years, the number of Japanese cuisine restaurants is still increasing. The aim of this article was to estimate the popularity of Japanese cuisine in Poland and to examine attitudes of Polish consumers towards it. The reasons why this cuisine is chosen by consumers are also studied. The scope of this work includes two anonymous questionnaires. The first study was conducted in Warsaw among 527 random respondents to estimate the level of familiarity with Japanese dishes. The second one was conducted among 115 consumers of a particular Japanese restaurant in Warsaw. Research of the target group was aimed at the characteristics of Japanese dishes consumers. On the basis of the results, it was found that random respondents have relatively little knowledge of Japanese dishes. However, a large percentage of them declared interest in Japanese culture and traditions and was inclined to taste the dishes of this region. Japanese restaurants are mainly popular among young people who follow current culinary trends and fashions and also care about their diet. High prices limit the customer group to well‐off people. Polish consumers visiting Japanese restaurants are usually persons between 31 and 40 years old, with higher education, live in the big cities, as well as with very good or good financial situation. Regular restaurant goers eat out quite often: once a week (38%) or at least once a month (27%). The restaurant studied is mainly visited by people familiar with Japanese cuisine. Sushi is the most popular of the dishes offered.  相似文献   
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Abstract

Introduction: The dominant cause of injuries in traffic crashes. A significant portion of them affects victims under the influence of ethyl alcohol. The goal of the studies was to assess the correlation between the state of sobriety and the severity of injuries expressed by injury severity scales in fatal pedestrian victims of traffic crashes. Research Material and Method: The data were obtained from the Warsaw Medical University's Department of Forensic Medicine. The analysis covered the data for 2009–2013 and included 200 fatal pedestrian victims hit by passenger cars. The assessment of the effect of risk factors on injury severity expressed in terms of injury severity scales such as Life Threat Indicator (LTI), International Classification based Injury Severity Score (ICISS), Injury Severity Score (ISS) and New Injury Severity Score (NISS), was made using adequately selected methods of statistical analysis. Results: As alcohol concentration increases in women, the values of LTI, ICISS-10 and ICISS-15 decrease, which denotes more severe injuries. In the ISS and NISS, the effect of alcohol concentration on the severity of injuries turned out to be negligible. However, these injuries are significantly heavier in women than in men. According to all the scales used, the older the victims, the milder injuries cause their death. Conclusions: The studies show that ethyl alcohol concentration may harm injury severity, especially in the case of women. The assessment of the severity of injuries in traffic crash victims is significantly influenced by their age and gender. The more risk factors the scale takes into consideration, the more precise is the assessment.  相似文献   
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This paper describes the successful introduction of a kaizen scheme in a General Motors factory plant in Gliwice, Poland. Employee value systems changed, despite the presence of strong, pre-existing values that might have inhibited this process. These findings are drawn on to examine the concept of ‘resistance to change’ and replace it with a notion of ‘functional persistence’. Our case study illustrates how assuming this position can aid the development of new work attitudes, as opposed to constraining the old ones.  相似文献   
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International Advances in Economic Research - This paper compares income distributions for the family types distinguished by the number of children. The primary contribution to the literature of...  相似文献   
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The link between financial attitudes and consumer financial market behaviour is well documented. However, little is known about the role of financial knowledge and skills—the main components of the financial literacy construct—in shaping debt attitudes. This link is especially absent from the gender perspective. This study focuses on consumer debt literacy and debt attitudes. A representative sample of adult Poles (N = 1,004) was participated in a computer‐assisted telephone interview. Latent class analysis was employed to reveal their debt attitudes, and subsequently, links between debt literacy and debt attitudes were studied with multinomial regression models. The results show that respondents in Poland can be grouped into five classes exhibiting different attitude profiles. The structure of debt attitudes is complex and differs from a simple unidimensional pro‐debt/ anti‐debt construct. Although this study did not find significant gender differences either in the conceptualization of debt attitudes or in their drivers, the results showed that in all but one class, consumer attitudes are strongly linked to either debt knowledge or debt skills or to both. Debt skills were revealed to be a particularly strong predictor of consumer debt attitudes.  相似文献   
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The aim of the paper is to discuss the application of classification functions and artificial neural networks (such as multilayer perceptron and radial basis function) to recognize the risk category of investigated companies. The research is based on data from 295 enterprises that applied for credit in two regional banks operating in Poland. Each firm is described by 13 diagnostic variables and potential borrowers are classified into four classes. The efficiency of classification is evaluated in terms of classification errors calculated from the actual classification made by the credit officers. The results of the experiments show that application of artificial neural networks and classification functions can support the creditworthiness evaluation of borrowers.  相似文献   
18.
The transformation of the economic systems taking place in Central and Eastern European countries has ruined the previous structures, even though the market economy mechanisms have not been created yet. The present mechanisms of economies in transition have not been recognized yet. Therefore, it is extremely difficult to apply traditional quantitative methods such as statistics, time series analysis, and econometrics to describe the economic system and to forecast the further development of the economic phenomena. In this paper, the author discusses the experience of constructing artificial neural networks and forecasts (using neural networks) for the Polish Stock Exchange in the early transition period. The traditional approach to prediction using an econometric model to compare the results obtained applying different methods will also be presented.  相似文献   
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This paper outlines the evolution of the information environment surrounding the Warsaw Stock Exchange in Poland. Like other transition economies, Poland needed to develop accounting regulations to support privatization. We trace changes in financial reporting regulation from 1994, through the adoption of IFRS and corporate governance codes, to the crisis of 2007-2008. The effect of these developments is then evaluated empirically by testing the relevance of earnings of listed corporations from 1997 to 2008 to corporate value. We show that the stock exchange was weak-form efficient during this period and estimate regressions for value relevance of earnings to corporate value. We find positive evidence of such relevance but no improvement in the strength of the relationship over time.  相似文献   
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