Due to globalized business operations, companies in different economic sectors are part of complex supply chain networks. Their value-added processes comprise product and information flows, e.g. with a focus on manufacturing, service or trade. Until the final product is delivered to the end customer, it needs to pass many different processes in cooperating organizations. As a result, there a lot of business-to-business (B2B) interactions with crossenterprise transactions, often including cross-border communications and sometimes even cross-industry trades with technological and often cultural implications. Especially the interfaces of supply chain networks are prone to inefficiencies, misunderstandings and delays due to a lack of standardized B2B transactions, which leads to waste in form of rework, errors and mistakes. In addition, new customers are hard to find for the manufacturing or trading company, since potential customers are so far limited to a regional network. The advantages of extending the customer base still need to be explored by many organizations. This paper discusses the opportunities by streamlining the communication along supply chain networks in a general fashion and then describes the application in a B2B automotive retail business. A concept of a web-based trading platform, which provides a seamless service for all steps of a convenient and efficient used vehicle remarketing business, is developed. It includes all phases, like offering and price finding in a comprehensive online platform, which also covers further activities, such as logistic services, financial transactions, and a mandatory feedback loop. The suggested B2B vehicle-trading platform enables a quick turnover of each transaction, which is analyzed and optimized based on the application of cross-enterprise Value Stream Management.
In order to fully adapt to market requirements, mining enterprises in recent years have implemented standardized systems for quality, safety and health at work and environmental management. The standards for individual systems define the requirements of applying specific procedures and actions to implement the adopted policy aimed at achieving the assumed goals. The combination of business procedures and practices is more effective in the case of their integration than the activities carried out under separate systems. They then function under the name of an integrated management system (IMS). Properly implemented IMSs most often contributes to a more harmonious functioning of the enterprise and the elimination of recurring activities in the areas concerning individual systems, and thus to the optimization of costs related to their implementation and maintenance. Improving the operational efficiency of the mining enterprise and mines included in it, while maintaining the requirements of work safety and environmental protection. In the conditions of a market economy, improving the efficiency of functioning and providing sources of business financing is a key necefity for mining enterprise (Bąk 2007, 2008). Mines need to be properly managed to survive. The key problem is the design and implementation of an efficient management system and its continuous improvement based on the adequacy of system solutions. This is an answer to the question whether the management system of a mining enterprise (mine) corresponds to its real needs in the process of achieving objectives. Improvement of management systems must be based on an appropriate diagnosis. The aim of the article is to present the original solution, which is a tool for improving the integrated management system in Polish mining enterprises.
We introduce consumption habits into a real-business-cycle setup augmented with a detailed government sector. We calibrate the model to Bulgarian data for the period following the introduction of the currency board arrangement (1999-2018). We investigate the quantitative importance of the presence of internal consumption habits motive for the propagation cyclical fluctuations in Bulgaria. Allowing for internal habits in household’s consumption improves the model performance against data, and in addition this extended setup dominates the standard RBC model framework without habits. Therefore, the computational experiments performed in this paper suggest that habits are a quantitatively important model ingredient, which should be taken into consideration when analysing the effects of different policies in Bulgaria. This result can be viewed as an empirical validation of the habit model, and a rejection of the model without habits in the case of Bulgaria. In addition, we also demonstrate that internal habits are quantitatively more important than external habits for the Bulgarian business cycle.
After the banking crisis, the European Union (EU) introduced a framework for the restructuring and orderly liquidation of credit institutions. The overarching goal of the new rules is to manage severe banking crisis more efficiently. One of the main pillars of the European bank resolution regime are the powers of the resolution authorities to use resolution tools (sale of business, bridge bank, bad bank and bail-in). However, the question arises whether the implemented toolkit will be sufficient to effectively contain systemic banking crisis. The literature regarding empirical research on the effectiveness of the BRRD tools provides ambiguous conclusions. Therefore, the newly established resolution authorities in the EU were asked to express their opinion about their readiness to combat systemic crisis and the usefulness of the accessible toolkit. The evaluation of the effectiveness of the resolution tools in a systemic crises by the resolution authorities showed that the most effective resolution tool seems to be the bad bank, while bank liquidation was rated as the least appropriate. Nevertheless, the resolution authorities also identified many barriers for all resolution tools that may limit the ability of their implementation and possibly translate into the lower effectiveness of the resolution framework.
In this article, authors analyze methods of the analysis of data integrity, security and availability loss results for business processes. Assessing those results, one can judge the importance of a process in organization; thus, determine which business process requires more attention. The importance of those processes can be determined with Business Impact Analysis (BIA). In article, first phase of BIA is presented – in specific, a construction of Business Impact Category Tables, Loss Levels and process weight calculation methods. A variety of weight calculating methods is presented. Authors also present their proposed method – square sum percentage – as a solution eliminating problems of other weight calculation methods in business impact analysis.
One of the important issues concerning development of spatial data infrastructures (SDIs) is the carrying out of economic and financial analysis. It is essential to determine expenses and also assess effects resulting from the development and use of infrastructures. Costs and benefits assessment could be associated with assessment of the infrastructure effectiveness and efficiency as well as the infrastructure value, understood as the infrastructure impact on economic aspects of an organisational performance, both of an organisation which realises an SDI project and all users of the infrastructure. The aim of this paper is an overview of various assessment methods of investment as well as an analysis of different types of costs and benefits used for information technology (IT) projects. Based on the literature, the analysis of the examples of the use of these methods in the area of spatial data infrastructures is also presented. Furthermore, the issues of SDI projects and investments are outlined. The results of the analysis indicate usefulness of the financial methods from different fields of management in the area of SDI building, development and use. The author proposes, in addition to the financial methods, the adaptation of the various techniques used for IT investments and their development, taking into consideration the SDI specificity for the purpose of assessment of different types of costs and benefits and integration of financial aspects with non- financial ones. Among the challenges are identification and quantification of costs and benefits, as well as establishing measures which would fit the characteristics of the SDI project and artefacts resulting from the project realisation. Moreover, aspects of subjectivity and variability in time should be taken into account as the consequences of definite goals and policies as well as business context of organisation undertaking the project or using its artefacts and also investors.
The aim of the paper is to present an overview of the theoretical basis and stages of the process of opportunities exploration and exploitation in the development of innovativeness of small and medium-sized enterprises (SMEs) and its preliminary empirical verification on the basis of experience derived from economic practice. The aim of the paper is realized based on the author’s own empirical research carried out in the form of a case study conducted among 5 innovative SME companies in Poland. The results indicate that the analyzed companies associate opportunities directly with entrepreneurship and the development of innovative activity. They take various actions that are part of theoretical principles of effective opportunities exploration and exploitation, which allows them to obtain a number of pro-innovative benefits and which supports the creation of competitive advantage.
This article aims at constructing a new method for testing the statistical significance of seasonal fluctuations for non-stationary processes. The constructed test is based on a method of subsampling and on the spectral theory of Almost Periodically Correlated (APC) time series. In the article we consider an equation of a nonstationary process, containing a component which includes seasonal fluctuations and business cycle fluctuations, both described by an almost periodic function. We build subsampling test justifying the significance of frequencies obtained from the Fourier representation of the unconditional expectation of the process. The empirical usefulness of the constructed test is examined for selected macroeconomic data. The article studies survey indicators of economic climate in industry, retail trade and consumption for European countries.
CSR on Mazovia – Institutional Dimension. Corporate social responsibility (CSR) is defined as the responsibility of enterprises for their impacts on society. For the effective implementation of this concept are very important institutions, understood as a permanent (legal, organizational and customary) determinants of repetitive human behaviour and peopleto- people interaction. Institutions can therefore be both organisations that promotes this concept and CSR projects or strategies. The aim of the article is to review the thesis that the Mazovia is the driving force of the development of CSR in Poland, carried out on the basis of desk and web research. By evaluating the degree of institutionalisation of CSR in Mazovia, based on an analysis of the activities of the various sectors in this field, it was found that most activities for the implementation of this concept is undertaken in Mazovia, and many of them have coverage nationwide.
Recently, business protocol discovery has taken more attention in the field of web services. This activity permits a better description of the web service by giving information about its dynamics. The latter is not supported by theWSDL language which concerns only the static part. The problem is that the only information available to construct the dynamic part is the set of log files saving the runtime interaction of the web service with its clients. In this paper, a new approach based on the Discrete Wavelet Transformation (DWT) is proposed to discover the business protocol of web services. The DWT allows reducing the problem space while preserving essential information. It also overcomes the problem of noise in the log files. The proposed approach has been validated using artificially-generated log files.
A central element in the theory of clustering is the idea that physical clustering of businesses within specialized sectors is a source for regional economic growth. The spatial proximity of companies and institutions within related industries create a specific setting in which learning, knowledge sharing and mutual competition are encouraged. Additionally, active participation within the innovation eco-system of a Science & Technology Park provides actors access to knowledge, facilities and complementary contacts and network structures. Collective ideation helps an organization to improve the positioning within the technological field and economic market, especially within an innovation ecosystem because actors are dependent on each other’s behaviour to be successful in innovation. This research focuses on the question how to design the collective ideation process in particular to foster interactions within the context of a science & technology parks? This research is based on semi-structured interviews, conducted at all development stages (idea, startup, grow and mature) of Dutch science & technology parks with stakeholders from different perspectives, based on the triple-helix structure (government, industry, research). The study describes how multiple stakeholders benefit from collective ideation, what mechanisms and tools are used in practice and also describes prerequisites and limitations of collective ideation.
Territorisation of Intervention and Use of Endogenic Potentials in Mazovia Development Politics. Mazovia is developing rapidly in comparison to other European regions. It is also the most competitive region in Poland. Nevertheless, it is subject to a serious development duality. The regional policy to date has not been successful in curbing the increasing intraregional disparities. The article serves to indicate possible directions of Mazovia’s development which are worthy of support and fit into the Europe 2020 development model as well as the new EU regional policy paradigm. The adaptation of intervention to the differing parts of Mazovia so as to make use and develop their various endogenic potentials seems to be the right approach to increasing the region’s competitiveness and ensuring a decent standard of life in all its parts.
We discuss the notion of the financial cycle making a clear indication that the thorough study of its empirical properties in case of developing economies is still missing. We focus on the observed series of credit and equity and make formal statistical inference about the properties of the cycles in case of Polish economy. The non-standard subsampling procedure and discrete spectral characteristics of almost periodically correlated time series are applied to make formal statistical inference about the cycle. We compare the results with those obtained for UK and USA. We extract the cyclical component and confront empirical properties of the financial cycle for small open economy with those established so far in case of developed economies.
The economic activity indicators in Poland during the years 1995‒2011 exhibit various cyclical patterns. Employing the Christiano – Fitzgerald band-pass filter and unobserved components model it is shown that the cyclical processes of Polish economic activity are driven by overlapping higher frequency fluctuations (3‒4 years) and longer cycles of 8.5 years. The cyclical fluctuations of construction, transportation and trade are dissimilar to gross value added. Economic activity in transportation leads and in construction lags the fluctuations of gross value added. Cyclical fluctuations of gross value added seem to be determined by industry and construction. Manufacturing, especially capital and intermediate goods fluctuations are responsible for the variation of industry. The production of non-durable consumer goods, energy and production of electric power are relatively the most desynchronized compared to industry. Production of electric power leads industrial production. Capital goods, intermediate goods and energy cycle phases are asymmetric – the slowdown lasts shorter and has higher amplitude compared to expansion. During the last crisis occurred the intensified variation of economic activity in Poland.
The size and complexity of decision problems in production systems and their impact on the economic results of companies make it necessary to develop new methods of solving these problems. One of the latest methods of decision support is business rules management. This approach can be used for the quantitative and qualitative decision, among them to production management. Our study has shown that the concept of business rules BR can play at most a supporting role in manufacturing management, but alone cannot form a complete solution for production management in foundries.