rss_2.0Business Systems Research Journal FeedSciendo RSS Feed for Business Systems Research Journalhttps://sciendo.com/journal/BSRJhttps://www.sciendo.comBusiness Systems Research Journal Feedhttps://sciendo-parsed.s3.eu-central-1.amazonaws.com/647115b82b88470fbea14f4b/cover-image.jpghttps://sciendo.com/journal/BSRJ140216Assessing the Appraisal of Research Quality in Social Sciences and Humanities: A Case Study of the University of Montenegrohttps://sciendo.com/article/10.2478/bsrj-2023-0007<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>A noteworthy attempt has recently been made to extend the same or analogous evaluation criteria traditionally employed in natural and technical sciences to social sciences and humanities domains. However, this endeavor has sparked considerable reactions among researchers, leading to robust discussions and debates.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>This research aims to describe the scholars’ perception of the research quality evaluation in Montenegro's social sciences and humanities.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>Focus-group interviews in which 25 interlocutors from various fields of social sciences and humanities were used. The participants discussed the given topic in five focus group interviews and were prompted by questions that specified the topic.</p> </sec> <sec><title style='display:none'>Results</title> <p>Different perceptions occur within the social sciences and humanities and are visible within individual areas. Respondents think that the current way of evaluating the results of research work in social sciences and humanities ignores the specificities of research methodologies and practices.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>The respondents show a common element of perception, i.e., that the research quality evaluation in the social sciences and humanities must be multidimensional, meaning that it must include the necessary indicators adjusted to concrete research field as much as possible but also contain agreeably qualitative criteria.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00072023-09-21T00:00:00.000+00:00Analysis of Entrepreneurial Behaviour in Incubated Technology-Based Companieshttps://sciendo.com/article/10.2478/bsrj-2023-0003<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>The analysis of entrepreneurial behaviour in incubated technology-based companies can help managers to understand their characteristics and how these aspects can be maximized to increase the performance of the companies.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>This study proposes to measure the entrepreneurial behaviour of managers of technology-based companies in incubators in southern Brazil facing different stages of the business life cycle.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>The Analytic Hierarchy Process is used to measure the entrepreneurial behaviour index of technology-based companies’ managers throughout the stage of the business life cycle.</p> </sec> <sec><title style='display:none'>Results</title> <p>In the early stages, entrepreneurs have ample self-confidence and are willing to make quick decisions. In the intermediate stages, the entrepreneur shows greater persistence and effort in the tasks. In the later stages, the entrepreneur acquires a greater sense of group activity and punctuality in completing tasks.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>This study analyses how managers demonstrate their entrepreneurial behaviour as the stages the company experiences. The results can help managers better understand their performance and actions reflected through their behaviours.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00032023-09-21T00:00:00.000+00:00Lifelong Education in Economics, Business and Management Research: Literature Reviewhttps://sciendo.com/article/10.2478/bsrj-2023-0008<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>Lifelong education includes formal and nonformal forms of learning during an individual's life cycle for the conscious and continuous development of one's quality and the quality of life in society.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>The goal of the research is to identify the most frequent research topics related to lifelong education in economics, business, and management research using a systematic literature review.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>The study analysed 272 lifelong education papers in Business, Management, and Economics journals using bibliometric analysis, text mining, and Provalis Wordstat content analysis, identifying frequent journals, authors, nations, and funding entities.</p> </sec> <sec><title style='display:none'>Results</title> <p>Research on lifelong education, focusing on older adults, critical thinking, quality of life, poverty reduction, professional training, and human capital, is primarily published in the International Journal of Lifelong Education. Four clusters have been identified.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>The number of lifelong education papers is increasing, primarily published in educational journals. The most common keywords highlight its focus on human capital, supporting economic and social development.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00082023-09-21T00:00:00.000+00:00Enhancing Digital Promotion of Cultural Attractions: Assessing Websites, Online Marketing Tools and Smart Technologieshttps://sciendo.com/article/10.2478/bsrj-2023-0004<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>Built heritage in developed tourism destinations presents a resource of attractiveness, and its presentation through digital technology impacts the perception of culture.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>The paper aims to determine opportunities for further development of digital promotion of cultural attractions by identifying the potential of websites, online marketing tools and smart technologies implemented by tourism attraction decision-makers.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>Qualitative and qualitative research methods were used as longitudinal research and structured interviews with decision-makers of the tourist destination.</p> </sec> <sec><title style='display:none'>Results</title> <p>Positive developments in implementing the digital promotion of cultural heritage during and after the pandemic are evident, but not fast enough considering the accelerated development of new smart technologies. At the same time, decision-makers recognise the importance of the digital promotion of cultural heritage. However, they are still unfamiliar with the possibilities of smart technology to affirm the digital promotion of cultural heritage.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>The paper points to the conclusion of how the advantages and potentials of developing a smart culture in destinations, recognised as a strategic policy of development, are implemented in the digital marketing of heritage sites.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00042023-09-21T00:00:00.000+00:00Does the Type of Nominal Personal Income Tax Rate Affect Its Progressivity? A Case Study from the Czech Republichttps://sciendo.com/article/10.2478/bsrj-2023-0005<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>The article evaluates the influence of the type of nominal personal income tax rate on its progressivity. This is examined in the Czech Republic in the period 1993–2020. Between 1993 and 2007, the nominal tax rate was progressive, while from 2008 until the end of 2020, the nominal rate was linear.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>The paper aims to analyse if the type of nominal tax rate affects personal income tax progressivity.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>The article uses analysis, synthesis, comparison and regression analysis methods. The progressiveness of the tax obligation indicator is used to evaluate the degree of tax progressivity.</p> </sec> <sec><title style='display:none'>Results</title> <p>In the context of the analysis of the degree of tax progressivity, personal income tax is more progressive in the period of validity of the nominal linear rate for taxpayers with incomes below the average wage level.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>Since the linear rate has been in force, the government in the Czech Republic has often mistakenly presented that tax rate innovations will ensure that everyone pays the same tax.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00052023-09-21T00:00:00.000+00:00An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industryhttps://sciendo.com/article/10.2478/bsrj-2023-0002<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model and machine learning combination have been widely applied in various areas.</p> </sec> <sec><title style='display:none'>Motivations</title> <p>With the rapid increase of transactional data, the RFM model can accurately segment customers and provide deeper insights into customers’ purchasing behaviour. However, the traditional RFM model is limited to 3 variables, Recency, Frequency and Monetary, without revealing segments based on demographic features. Meanwhile, the contribution of demographic characteristics to marketing strategies is extremely important.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>The article proposed an extended RFMD model (D-Demographic) with a combination of behavioural and demographic variables. Customer segmentation can be performed effectively using the RFMD model, K-Means, and K-Prototype algorithms.</p> </sec> <sec><title style='display:none'>Results</title> <p>The extended model is applied to the retail dataset, and the experimental result shows 5 clusters with different features. The effectiveness of the new model is measured by the Adjusted Rand Index and Adjusted Mutual Information. Furthermore, we use Cohort analysis to analyse customer retention rates and recommend marketing strategies for each segment.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>According to the evaluation, the proposed RMFD model was deployed with stable results created by two clustering algorithms. Businesses can apply this model to deeply understand customer behaviour with their demographics and launch efficient campaigns.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00022023-09-21T00:00:00.000+00:00Disruptive Business Model Innovation and Digital Transformationhttps://sciendo.com/article/10.2478/bsrj-2023-0001<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>Innovating how organisations run their business is a strategic decision to create more value for customers using or consuming the product and/or service provided. In addition to the incentive of everybody embracing digital transformation, digital technologies, and digital innovation, which frame changes of operating business models today, disruptions, i.e., another incentive that occurs suddenly and impacts globally, all force businesses to adapt and change.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>This research aims to provide a conceptual model that can be used for organisations to evaluate and propose feasible options for responding to disruptions that influence the businesses’ strategic innovation initiatives while assisting decision-makers in choosing the most appropriate option.</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>Considering internal and external factors that influence digital transformation, the conceptual framework is designed to assess readiness and willingness to transform and create opportunities for future success digitally.</p> </sec> <sec><title style='display:none'>Results</title> <p>A conceptual framework was developed, tested, and demonstrated in a case study. The case study organisation rated positively the composition of steps to be perf readiness and willingness and choose the most feasible option to change.</p> </sec> <sec> <title style='display:none'>Conclusions:</title><p>The digital environment and the influence of disruptions force organisations to change. The conceptual framework developed in this research helps the management choose the most feasible change option about the real as-is and the desired to-be state.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00012023-09-21T00:00:00.000+00:00Using Fuzzy TOPSIS and Balanced Scorecard for Kaizen Evaluationhttps://sciendo.com/article/10.2478/bsrj-2023-0006<abstract> <title style='display:none'>Abstract</title> <sec><title style='display:none'>Background</title> <p>Kaizen is a very important continuous improvement technique; however, measuring kaizen results/benefits have not been clearly and comprehensively addressed by the literature.</p> </sec> <sec><title style='display:none'>Objectives</title> <p>This paper aims to propose a kaizen measuring system by integrating a Balanced Scorecard (BSC) and a Fuzzy Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS).</p> </sec> <sec><title style='display:none'>Methods/Approach</title> <p>Three research instruments were distributed to kaizen experts to allocate kaizen benefits into the four BSC perspectives. The best measures of kaizen benefits were determined by employing the Fuzzy TOPSIS technique.</p> </sec> <sec><title style='display:none'>Results</title> <p>The results present a kaizen performance evaluation system where the benefits were allocated into the four BSC perspectives, and the best measure for each kaizen benefit was chosen using fuzzy TOPSIS.</p> </sec> <sec><title style='display:none'>Conclusions</title> <p>The research contributes to the literature by proposing a kaizen measurement system that will pair each benefit of using kaizen with BSC perspectives and measures, thus expanding the advantages of adopting kaizen to any sector or industry.</p> </sec> </abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2023-00062023-09-21T00:00:00.000+00:00Risk-Based Decision Support Model for Offshore Installationshttps://sciendo.com/article/10.2478/bsrj-2018-0019<abstract><title style='display:none'>Abstract</title><p> Background: During major maintenance projects on offshore installations, flotels are often used to accommodate the personnel. A gangway connects the flotel to the installation. If the offshore conditions are unfavorable, the responsible operatives need to decide whether to lift (disconnect) the gangway from the installation. If this is not done, there is a risk that an uncontrolled autolift (disconnection) occurs, causing harm to personnel and equipment. Objectives: We present a decision support model, developed using the DEXi tool for multi-criteria decision making, which produces advice on whether to disconnect/connect the gangway from/to the installation. Moreover, we report on our development method and experiences from the process, including the efforts invested. An evaluation of the resulting model is also offered, primarily based on feedback from a small group of offshore operatives and domain experts representing the end user target group. Methods/Approach: The decision support model was developed systematically in four steps: establish context, develop the model, tune the model, and collect feedback on the model. Results: The results indicate that the decision support model provides advice that corresponds with expert expectations, captures all aspects that are important for the assessment, is comprehensible to domain experts, and that the expected benefit justifies the effort for developing the model. Conclusions: We find the results promising, and believe that the approach can be fruitful in a wider range of risk-based decision support scenarios. Moreover, this paper can help other decision support developers decide whether a similar approach can suit them</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00192018-07-28T00:00:00.000+00:00Number of Instances for Reliable Feature Ranking in a Given Problemhttps://sciendo.com/article/10.2478/bsrj-2018-0017<abstract><title style='display:none'>Abstract</title><p> Background: In practical use of machine learning models, users may add new features to an existing classification model, reflecting their (changed) empirical understanding of a field. New features potentially increase classification accuracy of the model or improve its interpretability. Objectives: We have introduced a guideline for determination of the sample size needed to reliably estimate the impact of a new feature. Methods/Approach: Our approach is based on the feature evaluation measure ReliefF and the bootstrap-based estimation of confidence intervals for feature ranks. Results: We test our approach using real world qualitative business-tobusiness sales forecasting data and two UCI data sets, one with missing values. The results show that new features with a high or a low rank can be detected using a relatively small number of instances, but features ranked near the border of useful features need larger samples to determine their impact. Conclusions: A combination of the feature evaluation measure ReliefF and the bootstrap-based estimation of confidence intervals can be used to reliably estimate the impact of a new feature in a given problem</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00172018-07-28T00:00:00.000+00:00Editorial for the special issue: “Novel Solutions or Novel Approaches in Operational Research”https://sciendo.com/article/10.2478/bsrj-2018-0014<abstract><title style='display:none'>Abstract</title><p> Background Determining the location, boundaries and areas of land properties accurately in the land cadastre is essential. The named data are provided using coordinates, acquired from field measurements. Since 2008, the Slovenian land cadastre claims positioning in the national realization of the ETRS89, so the GNSS use is practically indispensable. Objectives: Contrary to real-time, we can change parameters in GNSS post-processing. The aim of this paper is to simulate different measurement conditions for GNSS in order to determine how to acquire the best possible coordinates for further use in land area calculation. Methods/Approach: Simulations of obstacles near points followed the increasing of the cut-off angle. Furthermore, shortening the observation interval resulted in different occupation duration. The final condition evaluation for coordinate quality acquisition followed from fuzzy logic. Results: The results show that for short baselines, occupation duration is the most important factor in acquiring high quality coordinates and avoiding the multipath. Differences in coordinates from specific strategies can sometimes exceed the tolerance and evidently affect the area calculation. Conclusions: The findings confirm that only good measurement conditions lead to high quality coordinates and well-defined areas of land properties, which are the fundamental factor in relation to the issues of property valuation and assessing land taxes or rents.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00142018-07-28T00:00:00.000+00:00CVaR in Measuring Sector's Risk on the Croatian Stock Exchangehttps://sciendo.com/article/10.2478/bsrj-2018-0015<abstract><title style='display:none'>Abstract</title><p> Background: In this paper the well-known risk measurement method Conditional Value-at-Risk (CVaR) is applied to the Croatian stock market to estimate the risk for 8 sectors in Croatia. The method and an appropriate backtesting are applied to the sample of 29 stocks grouped into 8 sectors for the three different periods: the period of economic growth 2006-2007, the crisis period 2008-2009 and the post-crisis period 2013-2014, characterized by long-term economic stagnation in Croatia. Objectives: The objective of this paper is to estimate the risk of 8 sectors on the Croatian stock market in three different economic periods and to identify whether the sectors that are risky during the crisis period are the same sectors that are risky in the period of economic growth and economic stagnation. Methods/Approach: The Conditional Value-at-Risk method and an appropriate backtesting are applied. Results: Empirical findings indicate that sectors that are risky in the period of economic growth are not the same sectors that are risky during the period of economic crisis or stagnation. Conclusions: In all the three periods, the least risky sectors were Hotel-management, Tourism, Food, and Staples Retailing. The Construction sector in all the three periods was among the riskiest sectors</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00152018-07-28T00:00:00.000+00:00The Influence of the Zonation Effect on a System of Hierarchical Functional Regionshttps://sciendo.com/article/10.2478/bsrj-2018-0018<abstract><title style='display:none'>Abstract</title><p> Background: Hierarchical functional regions (FRs) can be calculated using data on interactions between basic spatial units (BSUs) and a hierarchical aggregation procedure. However, the results depend on the selected system of initial BSUs. In spatial sciences, this is known as the zonation effect, which is one of the effects of the Modifiable Areal Unit Problem (MAUP). Objectives: In this paper, we analyse the influence of the zonation effect on a system of hierarchical functional regions. Methods/Approach: We compared two systems of hierarchical functional regions of Slovenia modelled by the Intramax aggregation procedure using the inter-municipal labour commuting flows for the same year, but for two different initial sets of municipalities. Besides, we have introduced a new measure to compare systems of hierarchical FRs. Results: The results show that the zonation effect has an influence on hierarchical functional regions. The clustering comparison measure suggested here is a metric measure, which is appropriate for comparing hierarchical FRs. Conclusions: The zonation effect has influence on hierarchical FRs. The clustering comparison measure suggested in this paper is easy to interpret, but it should be adjusted for the number of clusterings</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00182018-07-28T00:00:00.000+00:00GNSS-Condition Impacts on Land Boundary Coordinates and Land Area Determinationhttps://sciendo.com/article/10.2478/bsrj-2018-0023<abstract><title style='display:none'>Abstract</title><p> Background: Determining the location, boundaries and areas of land properties accurately in the land cadastre is essential. The named data are provided using coordinates, acquired from field measurements. Since 2008, the Slovenian land cadastre claims positioning in the national realization of the ETRS89, so the GNSS use is practically indispensable. Objectives: Contrary to real-time, we can change parameters in GNSS post-processing. The aim of this paper is to simulate different measurement conditions for GNSS in order to determine how to acquire the best possible coordinates for further use in land area calculation. Methods/Approach: Simulations of obstacles near points followed the increasing of the cut-off angle. Furthermore, shortening the observation interval resulted in different occupation duration. The final condition evaluation for coordinate quality acquisition followed from fuzzy logic. Results: The results show that for short baselines, occupation duration is the most important factor in acquiring high quality coordinates and avoiding the multipath. Differences in coordinates from specific strategies can sometimes exceed the tolerance and evidently affect the area calculation. Conclusions: The findings confirm that only good measurement conditions lead to high quality coordinates and well-defined areas of land properties, which are the fundamental factor in relation to the issues of property valuation and assessing land taxes or rents</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00232018-07-28T00:00:00.000+00:00Energy Consumption as an Indicator of Hidden Economy: Comparative Analysishttps://sciendo.com/article/10.2478/bsrj-2018-0022<abstract><title style='display:none'>Abstract</title><p> Background: Hidden economy presents a major concern for all national economies, particularly for those of developing countries. Objectives: In this work, methods for determination of the size of hidden economy are discussed. Particular attention is devoted to the methods using electricity consumption as an indicator (the Lackó method and the Kaufmann and Kaliberda method). Methods/Approach: The modified Lackó method adapted for a single country and the sophisticated Kaufmann and Kaliberda method have been used. Results: It has been shown that such methods are effective in measurement of the hidden economy extent in small open economies exposed to severe external influences. The article presents results for Macedonia and their comparison with results for Croatia, as a good role-model for other states in Western Balkans. Conclusions: Model methods involving energy consumption are particularly efficient in determination of the size of the hidden economic sector in small open economies as those of the Western Balkan countries</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00222018-07-28T00:00:00.000+00:00Location and Coverage Analysis of Bike- Sharing Stations in University Campushttps://sciendo.com/article/10.2478/bsrj-2018-0021<abstract><title style='display:none'>Abstract</title><p> Background: Bike-sharing programmes have become popular in a large number of cities in order to facilitate bicycle use. Determining the location of bike sharing stations is vital to success of these programmes. Objectives: In this paper, a case study is applied to the Gaziantep University campus in order to find possible locations of the stations for users (students). The purpose is to minimize the total walking distance. Methods/Approach: Set and maximal covering mathematical models are considered to decide on coverage capability of determined 20 demand points and 20 potential bike stations. Then, the mathematical models of P-center and P-median are used to build possible stations and to allocate demand points to the opened stations. Finally, an undesirable facility location model is used to find the bike stations, which have the maximum distance from demand nodes, and to eliminate them. Results: In computational results, it is clearly seen that the proposed approaches set the potential bike station covering all demand points. They also provide different solutions for the campus planners. Conclusions: The methodology outlined in this study can provide university administrators with a useful insight into locations of stations, and in this way, it contributes significantly to future planning of bike-sharing systems.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00212018-07-28T00:00:00.000+00:00Neural Network Approach in Forecasting Realized Variance Using High-Frequency Datahttps://sciendo.com/article/10.2478/bsrj-2018-0016<abstract><title style='display:none'>Abstract</title><p> Background: Since high-frequency data have become available, an unbiased volatility estimator, i.e. realized variance (RV) can be computed. Commonly used models for RV forecasting suffer from strong persistence with a high sensitivity to the returns distribution assumption and they use only daily returns. Objectives: The main objective is measurement and forecasting of RV. Two approaches are compared: Heterogeneous AutoRegressive model (HAR-RV) and Feedforward Neural Networks (FNNs). Even though HAR-RV-type models describe RV stylized facts very well, they ignore its nonlinear behaviour. Therefore, FNN-HAR-type models are developed. Methods/Approach: Firstly, an optimal sampling frequency with application to the DAX index is chosen. Secondly, in and out of sample predictions within HAR models and FNNs are compared using RMSE, AIC, the Wald test and the DM test. Weights of FNN-HAR-type models are estimated using the BP algorithm. Results: The optimal sampling frequency of RV is 10 minutes. Within HAR-type models, HAR-RV-J has better, but not significant, forecasting performances, while FNN-HAR-J and FNNLHAR- J have significantly better predictive accuracy in comparison to the FNN-HAR model. Conclusions: Compared to the traditional ones, FNN-HAR-type models are better in capturing nonlinear behaviour of RV. FNN-HAR-type models have better accuracy compared to traditional HAR-type models, but only on the sample data, whereas their out-of-sample predictive accuracy is approximately equal.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00162018-07-28T00:00:00.000+00:00Autonomous Sensor Data Cleaning in Stream Mining Settinghttps://sciendo.com/article/10.2478/bsrj-2018-0020<abstract><title style='display:none'>Abstract</title><p> Background: Internet of Things (IoT), earth observation and big scientific experiments are sources of extensive amounts of sensor big data today. We are faced with large amounts of data with low measurement costs. A standard approach in such cases is a stream mining approach, implying that we look at a particular measurement only once during the real-time processing. This requires the methods to be completely autonomous. In the past, very little attention was given to the most time-consuming part of the data mining process, i.e. data pre-processing. Objectives: In this paper we propose an algorithm for data cleaning, which can be applied to real-world streaming big data. Methods/Approach: We use the short-term prediction method based on the Kalman filter to detect admissible intervals for future measurements. The model can be adapted to the concept drift and is useful for detecting random additive outliers in a sensor data stream. Results: For datasets with low noise, our method has proven to perform better than the method currently commonly used in batch processing scenarios. Our results on higher noise datasets are comparable. Conclusions: We have demonstrated a successful application of the proposed method in real-world scenarios including the groundwater level, server load and smart-grid data</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00202018-07-28T00:00:00.000+00:00Research Activities and their Relation to Economic Performance of Regions in the European Unionhttps://sciendo.com/article/10.2478/bsrj-2018-0004<abstract><title style='display:none'>Abstract</title><p><bold>Background:</bold> The intensity of innovation could often be crucial for further economic development of the regions. Science and technology are often seen as the key factor supporting innovation in the regions. Furthermore, we can assume that higher intensity of research activities could lead to better economic performance.</p><p><bold>Objectives:</bold> Research aims to examine the link between the economic performance of the region and the intensity of science and technology activities, proxied by the share of employees in science and technology.</p><p><bold>Methods/Approach:</bold> The analysis is based on panel data for NUTS2 regions of the European Union (EU) member states. We conducted correlation analysis, panel Granger causality tests and regression analysis.</p><p><bold>Results:</bold> Our results suggest the existence of a significant positive correlation between GDP per capita and the share of employees in science and technology. Moreover, the regions with a higher intensity of science and technology activities are mostly characterized by relatively low unemployment rates.</p><p><bold>Conclusions:</bold> Research activities are positive correlated with regional GDP and negatively correlated with unemployment. However, increasing the share of employment in science and technology beyond a certain turning point would not lead to any further positive effects on regional economic performance.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00042018-04-25T00:00:00.000+00:00Exploring the Motivation of Employees in a Firm: A Case-Studyhttps://sciendo.com/article/10.2478/bsrj-2018-0012<abstract><title style='display:none'>Abstract</title><p><bold>Background:</bold> General concept of motivation, which include the motivational techniques and human resources management as a prerequisite for the most important intangible asset is related to the company performance.</p><p><bold>Objectives:</bold> we build on the conceptual model examining the respondents’ attitudes about the influence of various parameters on better business performance and work atmosphere. In addition, we also examine the attitudes towards the impact of motivation, company management, and communication on employee satisfaction.</p><p><bold>Methods/Approach:</bold> Difference in the perception of essential parameters such as motivation, communication, leadership model, and personnel management within a company, over groups of respondents differentiated by gender and age is tested using Kolmogorov-Smirnov test.</p><p><bold>Results:</bold> The results obtained by this research conducted from an employee point of view, detect the difference in the perception of the parameters of motivation, communication, leadership and personnel management, and their impact on employee satisfaction.</p><p><bold>Conclusions:</bold> Our empirical research results clearly pinpoint the link between successful application of motivational techniques, quality of the leadership and employee satisfaction.</p></abstract>ARTICLEtruehttps://sciendo.com/article/10.2478/bsrj-2018-00122018-04-25T00:00:00.000+00:00en-us-1