Knowledge of business process analysis instruments and methods enhance the possibility to quantify process management decisions and to achieve organizations' goals. While the amount of research on business process analysis and evaluation increases, there is a need to outline the intellectual structure of scientific research as embodied in business process scientific literature in order to define the streams of research. The purpose of this paper is to present actionable knowledge of business process performance analysis and evaluation, based on the framework, integrating business process research domains and levels of analysis. In order to establish a framework, integrating the domains of business process analysis, the research questions were formulated and the analysis of the scientific literature was carried out applying the method of structured literature review. Literature review was based on a research papers that were available through the EBSCO host, Academic search complete databases. References were searched using the keywords that are formed as combinations of words: business process, analysis, performance, evaluation. Research contributions, addressing the business process analysis topic, were selected by the keywords within the papers' title, abstract and in the keywords specified in the article. After the initial evaluation of 677 papers, 62 articles were selected for in-depth analysis. This paper contributes to the business process management research by proposing the framework to integrate various business process analysis research streams and highlighting exploratory potential areas for future inquiry.
Purpose. To analyze which macroeconomic factors influence China's stock market and what are the trends of the China's stock market indices. Methodology. Market indices are used in China's stock market trends analysis. Indices are analyzed in 2008-2012 period. Market return is expressed as the change of index. Market risk is analyzed using standard deviation value. Correlation is used in order to identify the relationship between indices of the different regions. Results. Before the start of global financial crisis trends of China market indices and other markets indices were almost the same. But after the recovery of the indices in 2009, China's stock market trends started to differ from global market trends. Correlation analysis of China's and U.S. indices showed that the correlation between China's and U.S. indices is very weak, indicating that the Chinese market and the U.S. market dynamics are not related to each other. The relationship between China's stock market, inflation and GDP was observed. Despite the high growth of China's GDP China's stock market did not reach good results over the last few years. The index had a negative return. Practical implications. From the analysed data investors can see the trends of China stock market. Investors can decide whether China stock market is more attractive than other regions for them or not. Value/originality. Due to the low China's stock market integrity we can assume that China's stock market may be little affected by the processes of globalization and can develop isolated from the global markets. In order to find out whereas China's stock market is isolated from other world's markets we analyze the tendencies of market return and risk and the relations between China's stock market and other markets. The type of the article: Research paper.
The COVID-19 pandemic crisis differs in nature from the previous financial crisis and therefore different solutions must be taken. In this context, governments are seeking to help businesses deal with the effects of the pandemic, which have had the greatest impact on corporate liquidity. The analysis of government support measures in the context of the COVID-19 pandemic has shown that EU governments use not only direct but also indirect financial support to business. However, the latter is not sufficiently analysed in scientific works. The aim of the study is to analyse the measures of indirect financial support for business applied by EU governments and to provide the classification of the measures described. In order to achieve the aim, the following methods of scientific research were used: analysis, synthesis, induction, deduction, abstraction, and analogy of scientific literature, normative documents, reports and reviews of international organisations, and support measures applied in governments’ practice. The study developed an original structure of government indirect financial support measures for business, comprising three components of government support measures: (1) minimisation of legal norms related to corporate finance; (2) indirect financial assistance related to labour law; (3) strengthening the legal framework for corporate finance. The measures analysed are described in more detail by distinguishing them into separate groups. The structure developed is based on concrete examples of application in EU countries and could contribute to a more targeted approach to business support in the future.
In the scientific literature, there is a lack of a systematic approach to credit risk factors. In addition, insufficient attention is still paid to analysing the macroeconomic factors of consumer loan credit risk. Thus, this research aims to evaluate the macroeconomic factors of consumer loan credit risk in Central and Eastern European countries’ banking systems. The findings of the study can be formulated as follows. After analysing scientific literature on credit risk factors, an improved and detailed (at five different levels) classification of factors influencing banking credit risk is proposed. This classification can be beneficial for more enhanced analysis of the factors influencing banking credit risk for the whole loan portfolio as well as for different types of loans, e.g., consumer loans. For quantitative evaluation of the impact of macroeconomic factors on consumer loan credit risk, the methods of panel data analysis and bivariate and multiple regressions are employed. Eleven CEE countries in the period from 2008 to 2020 are analysed. The results revealed that the aggregate of general macroeconomic condition factors is negatively related to consumer loan NPLs. Moreover, the economic growth, stock market, foreign exchange market, and institutional environment factors proved to be risk-decreasing, while credit market and bond market factors had a risk-increasing impact. The results of this research might help financial institutions manage credit risk more efficiently and also might be relevant to governments and central banks when selecting and applying fiscal and monetary policy measures. This study also makes policy recommendations.
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