<abstract xmlns="http://www.w3.org/1999/xhtml">Data have shapes, and human intelligence and perception have to classify the forms of data to understand and interpret them. This article uses a sliding window technique and the main aim is to answer two questions. Is there an opportunity window in time series of stock exchange index? The second question is how to find a way to use the opportunity window if there is one. The authors defined the term opportunity window as a window that is generated in the sliding window technique and can be used for forecasting. In analysis, the study determined the different frequencies and explained how to evaluate opportunity windows embedded using time series data for the S&amp;P 500, the DJIA, and the Russell 2000 indices. As a result, for the S&amp;P 500 the last days of the patterns 0111, 1100, 0011; for the DJIA the last days of the patterns 0101, 1001, 0011; and finally for the Russell 2000, the last days of the patterns 0100, 1001, 1100 are opportunity windows for prediction.</abstract>

Finding Opportunity Windows in Time Series Data Using the Sliding Window Technique: the Case of Stock Exchanges

<abstract xmlns="http://www.w3.org/1999/xhtml">The main purpose of the paper is an expert assessment of the relationship existing between selected indicators carried out using a relatively new tool in economic sciences: Fuzzy Cognitive Maps. The effect of its application is a graphical presentation of the relationship between the factors identified as the key ones. In the paper 23 indicators, describing four selected goals in the Strategy for Sustainable Development, 2030 Agenda were selected. It is assumed that the sustainable development goals should be related but according to the experts opinion this only applies to some indicators. This kind of relationships can be certainly identified in the case of the goals describing social and economic development, but often also economic and environmental development. However, the research results presented in the paper do not always confirm the existence of connections between individual indicators selected for the description of the goals of sustainable development. The paper tries to explain this problem.</abstract>

Fuzzy Cognitive Maps and their Application in the Economic Sciences

<abstract xmlns="http://www.w3.org/1999/xhtml">This paper presents a proposition to utilize flexible neural network architecture called Deep Hybrid Collaborative Filtering with Content (DHCF) as a product recommendation engine. Its main goal is to provide better shopping suggestions for customers on the e-commerce platform. The system was tested on 2018 Amazon Reviews Dataset, using repeated cross validation and compared with other approaches: collaborative filtering (CF) and deep collaborative filtering (DCF) in terms of mean squared error (MSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). DCF and DHCF were proved to be significantly better than the CF. DHCF proved to be better than DCF in terms of MAE and MAPE, it also scored the best on separate test data. The significance of the differences was checked by means of a Friedman test, followed by post-hoc comparisons to control p-value. The experiment shows that DHCF can outperform other approaches considered in the study, with more robust scores.</abstract>

Wroclaw University of Economics and Business

Improvement of E-Commerce Recommendation Systems with Deep Hybrid Collaborative Filtering with Content: A Case Study

<abstract xmlns="http://www.w3.org/1999/xhtml">The paper deals with an evaluation of the quality of services provided by healthcare organizations. First, an index representing a patient’s health condition is described, then its changes before and after being treated by a given entity are employed as a criterion to assess the operations of this entity. The index of a patient’s health condition is based on the theory of survival analysis, while a model of random effects is used to determine the quality of services based on health value added.</abstract>

Health Value Added of Healthcare Entities

<abstract xmlns="http://www.w3.org/1999/xhtml">The purpose of this article is to identify the relationship between the declared activities in line with corporate social responsibility and the implementation of diversity management concepts. The paper presents the essence of corporate social responsibility as an element of company strategy, and the importance of the concept of managing diversity of employees in building an organizational culture based on mutual respect and a sense of security of employees, and thus increasing the efficiency and innovation of the company, by recognizing the individual characteristics of the people employed. An in-depth interview method was used, conducted on the basis of a non-standardized interview questionnaire with HR directors of domestic companies. The obtained empirical material was presented as a case study.</abstract>

Corporate Social Responsibility as a Way to Sustainable Employment

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Econometrics

 The Econometrics journal has been published continuously since 1998. Starting from the first issue, Józef Dziechciarz has been an Editor-in-Chief of the journal. Until 2011, the journal was issued in the series of Academic Research Papers at the Wrocław University of Economics as Econometrics. Applications of quantitative methods. Since 2009, four issues have been published annually. It enables the introduction of regular quarterly release cycle. The Econometrics is published in English. The Scientific Council of our journal also includes professors affiliated with foreign institutions. The list of scientific reviewers includes eminent scientists from both home and abroad. Among the authors of the publications are both scientists from Polish academia, as well as many scientists from foreign universities. High level of scientific works, our confidence and insightful comments from reviewers contribute to the publication of valuable articles and dissemination of national scientific achievements. Until the end of 2017, fifty eight issues of the journal were published.  The subject area of the published articles covers theoretical and practical aspects of the methods of econometrics, statistics and mathematics. The domain of applications of these methods covers wider economic issues, including macro and microeconomic analyses; statistical and econometric analysis and modeling market data, as well as capital investment and insurance problems. Social and demographic analyses cover the issues of education, employment and unemployment, poverty, etc. Many studies have cyclical character, published articles show long-term results of research, include a scientific discussion with the reviewers suggestions formulated on the basis of earlier works. This allows to track the progress of scientific research, and the publications appearing in the Econometrics journal are an inspiration to undertake new research challenges.  econometrics.ue.wroc.pl/　   The Econometrics journal is indexed in Google Scholar and details on the citations can be found on Google Scholar Citations.  Also find us at:   Index Copernicus  Erih Plus    Why subscribe and read The Econometrics is a scientific journal that promotes both theoretical aspects of mathematical, statistical and econometric methods as well as application possibilities. It focuses on the presentation of new and modernization of well-known methods as well as their adaptation in economy, business processes and social sciences in a very broad meaning. Due to the fast publishing production, the presented articles refer to the latest research, papers are always up-to-date, original, scientific, never printed before in other scientific journals. The Econometrics is the place of interdisciplinary debate with the participation of economists and statisticians.  Why submit The journal offers a fast, honest and constructive review, carried out in the double blind review process. After acceptance, an article is evaluated by a native speaker and a statistics editor. After acceptance, the publication process is very fast.The Econometrics journal belongs to the group of magazines that are constantly highly rated and enjoy a good reputation among authors and reviewers.  Rejection Rate   32%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 