bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Study of Long- and Short-Stretch Woven Compression Bandages
Authors: Aboalasaad Abdelhamid R. R. , Sirková Brigita Kolčavová , Bílá Pavlína , Khalil Amany A. S. 
Published: November 2020

Abstract
Compression therapy using bandages or socks is the most common treatment for venous leg ulcers and edema. This article aims to compare the compression between long- and short-stretch bandages (LSB and SSB, respectively). Load-elongation curves, cyclic loading, and elastic recovery are investigated for both Cotton/Polyamide/Polyurethane and 100% bleached cotton bandages as LSB and SSB, respectively. Static (resting) and dynamic (working) pressures are measured on seven male legs, 31 ± 3.6 years old, using both two and three layers bandaging. Picopress pressure tests are performed on the ankle and mid-calf positions at gradual decreasing compression from the ankle to the knee. The deviation percentage between the experimental results by Picopress and theoretical calculations using Laplace's law and Al-Khaburi equations is compared. LSB recovered approximately 99% of its original length after stress-relaxation whereas SSB recovered only 93% of its original length after 5 days of cyclic load-relaxation. Moreover, SSB lost approximately 28.6% of its activity after wearing on the human leg for 5 days.
National business cultures: the influence of religion, and their role in the economic development of countries
Authors: Chebotarov Viacheslav , Chebotarov Iegor 
Published: November 2020

Abstract
The paper clarifies the conditions and factors of the development of the institutional environment through modern interdisciplinary analysis. The authors revise the studies of the problem under consideration in the history of science and reveal the decisive role of religion in the development of national business cultures. The study highlights the fundamental postulates, i.e. the canons of theology, and argues for the need to consider them in the context of the analysis of national business cultures. The authors put forward and prove theoretical and methodological principles of the determinant influence of national business cultures and religion on the development of countries (the socio-economic phenomenon of the “economic miracle”). The content of the category “Polish economic miracle” is revealed through analysis of the influence of Catholicism, Orthodoxy and Protestantism on other “economic miracles” known from history. The authors conclude that Catholicism currently encourages entrepreneurial initiative of both individuals and organisations, which contributes to the sustainable economic development of countries.
Editorial for the special issue: “Novel Solutions and Novel Approaches in Operational Research”
Authors: Drobne Samo , Dumičić Ksenija , Stirn Lidija Zadnik 
Published: November 2020

Abstract
This special issue of Business Systems Research (SI of the BSR) is co-published by the Slovenian Society INFORMATIKA – Section for Operational Research (SSI-SOR) and highlights recent advances in Operations Research and Management Science (OR /MS), with a focus on linking OR /MS with other areas of quantitative and qualitative methods in a multidisciplinary framework. Eleven papers selected for this SI of the BSR present improvements and new techniques (methodology) in Operations Research (OR) and their application in various fields of economics, business, spatial science, smart mobility, higher education, human resources, environment, agriculture and social networks.
Deep Learning Predictive Models for Terminal Call Rate Prediction during the Warranty Period
Authors: Ferencek Aljaž , Kofjač Davorin , Škraba Andrej , Sašek Blaž , Borštnar Mirjana Kljajić 
Published: November 2020

Abstract
Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period. So far, various methods have been used to address this problem, from discrete event simulation and time series, to machine learning predictive models.
Objectives: In this paper, we address the above named problem by applying deep learning models to predict terminal call rate.
Methods/Approach: We have developed a series of deep learning models on a data set obtained from a manufacturer of home appliances, and we have analysed their quality and performance.
Results: Results showed that a deep neural network with 6 layers and a convolutional neural network gave the best results.
Conclusions: This paper suggests that deep learning is an approach worth exploring further, however, with the disadvantage being that it requires large volumes of quality data.
Portfolio Optimization Efficiency Test Considering Data Snooping Bias
Authors: Kresta Aleš , Wang Anlan 
Published: November 2020

Abstract
Background: In the portfolio optimization area, most of the research is focused on insample portfolio optimization. One may ask a rational question of what the efficiency of the portfolio optimization strategy is and how to measure it.
Objectives: The objective of the paper is to propose the approach to measuring the efficiency of the portfolio strategy based on the hypothesis inference methodology and considering a possible data snooping bias. The proposed approach is demonstrated on the Markowitz minimum variance model and the fuzzy probabilities minimum variance model.
Methods/Approach: The proposed approach is based on a statistical test. The null hypothesis is that the analysed portfolio optimization strategy creates a portfolio randomly, while the alternative hypothesis is that an optimized portfolio is created in such a way that the risk of the portfolio is lowered.
Results: It is found out that the analysed strategies indeed lower the risk of the portfolio during the market’s decline in the global financial crisis and in 94% of the time in the 2009-2019 period.
Conclusions: The analysed strategies lower the risk of the portfolio in the out-of-sample period.
Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions
Authors: Lipovac Dean , Hajdu László , Wie Sølvi , Nyrud Anders Q. 
Published: November 2020

Abstract
Background: Mental wellbeing of employees is crucial for successful organizations. Psychosocial interventions that target highly contagious individuals (i.e., individuals that can ‘transmit’ their wellbeing to others) could efficiently improve overall wellbeing in the workplace.
Objectives: Using the magnitudes of effects observed in existing studies on psychosocial interventions and the contagion of mental wellbeing, we aimed to examine how the wellbeing of a group (based on WHO-5 Well-Being Index scores) changes if interventions are provided to highly contagious people instead of randomly selected individuals.
Methods/Approach: Based on the data on mental wellbeing of 414 nursing home employees, we created a social network that includes individual levels of wellbeing and the strength of the connection between people. Simulation-based influence-maximization was used on the network and interventions were interventions were provided to either contagious or randomly selected individuals.
Results: Overall, mental wellbeing of the group increased slightly more when individuals had received a simulated psychosocial intervention in order of contagiousness compared to the cases in which interventions were provided to randomly selected individuals.
Conclusions: Selectively targeting highly contagious individuals could be an efficient approach to improving wellbeing in organizations, especially in social contexts, where the contagion of mental wellbeing is likelier.
Selection of Project Managers: An Overview
Authors: Kuliš Marija Šiško 
Published: November 2020

Abstract
Background: The project manager choice is one of the most important, complicated and multi-layered decisions in project management. Although the competence of a project manager is the subject of numerous studies, mostly in the field of economic sciences, there are still relatively few studies dealing with project manager selection.
Objectives: The aim of this paper is to provide a useful overview of research on approaches, models, techniques, and competencies during the process of selecting project managers, in order to improve understanding an effective process of selecting project managers from academic researchers and practitioners’ point of view.
Methods/Approach: This article is a scientific review of previously published studies that are linked to competencies of a project manager and the process of project manager selection according to the traditional and the modern approach.
Results: The process of selecting project managers is not sufficiently investigated in Croatia, while most of the research is focused to traditional approach.
Conclusions: In this work, we propose a combination of the traditional and the modern approach to the selection of project managers, which would be based on the multicriteria decision making.
Pension Pessimism in the Young Generation: Basics or Instincts to Blame?
Authors: Kovács Erzsébet , Vaskövi Ágnes 
Published: November 2020

Abstract
Background: The area of pension expectations in Hungary is barely researched. However, the importance of adequate financial literacy and self-provision is becoming obvious at the economic, the decision-making, and the individual level.
Objectives: Our research is conducted to investigate state pension expectations and certain aspects of financial literacy of the young generation, and to find a behavioral explanation for their pessimistic attitude.
Methods/Approach: Using a 14-question questionnaire, we collected answers from Hungarian financially educated, young people. Two hypotheses were investigated by the Principal Component Analysis (PCA). Besides, a comparative analysis was conducted to connect the survey results with the ten instincts published by Hans Rosling in his book ‘Factfulness’.
Results: The outcomes are in harmony with prior expectations, i.e. i) students in finance major are aware of the connection between a longer working period and a higher retirement income; and ii) despite the unisex pension scheme there are gender differences in the expected pension age. In the comparative analysis with ‘Factfulness’, we identified five instincts that lie behind the general pessimism of respondents.
Conclusions: State pension expectations of the Hungarian young generation are overly pessimistic, the same attitude being found in international literature, as well. Pessimistic expectations can be explained using some of the ten instincts by Rosling.
Factors Influencing the Purchase of Energy-Efficient Appliances by Young Consumers in South Africa
Authors: Fatoki Olawale 
Published: November 2020

Abstract
Household appliances are the biggest contributor to household energy consumption and carbon dioxide emissions. One of the ways to reduce emissions and conserve energy is to increase the use of energy-efficient appliances (EEAs). Based on the theory of planned behavior (TPB), the study investigated the factors that influence the purchase of EEAs by young consumers in South Africa. Young customers are the customers of tomorrow and can help to prevent global ecological collapse through sustainable consumption. The study extended the TPB by adding two individual constructs (moral norms and environmental concern) and two situational constructs (informational publicity and perceived benefits). In addition, the study examined the effect of purchase intention on purchase behavior. The cross-sectional survey method was used for data collection in the quantitative study. Data was collected from final year undergraduate students at two South African universities. The results indicated that the extended TPB model can be used to predict the purchase intention of EEAs. Also, purchase intention positively affects purchase behavior. Theoretically, the study extended the TPB to create a unique model of intention to purchase EEA. Practical suggestions focus on what business and government should do to improve the purchase of EEA.
Bilateral Co-authorship Indicators Based on Fractional Counting
Authors: Rousseau Ronald , Zhang Lin 
Published: November 2020

Abstract

Purpose
In this contribution we provide two new co-authorship indicators based on fractional counting.

Design/methodology/approach
Based on the idea of fractional counting we reflect on what should be an acceptable indicator for co-authorship between two entities. From this reflection we propose an indicator, the co-authorship score, denoted as cs, using the harmonic mean. Dividing this new indicator by the classical co-authorship indicator based on full counting, leads to a co-authorship intensity indicator.

Findings
We show that the indicators we propose have many necessary or at least highly desirable properties for a proper cs-score. It is pointed out that the two new indicators can be used for countries, but also for institutions and other pairs of entities. A small example shows the feasibility of the co-authorship score and the co-authorship intensity indicator.

Research limitations
The indicators are not yet tested in real cases.

Practical implications
As the notions of co-authorship and collaboration have many aspects, we think that our contribution may help policy management to take yet another aspect into account as part of a multi-faceted description of research outcomes.

Originality/value
The indicators we propose cover yet another aspect of co-authorship.
Resilience measures to dealing with the COVID-19 pandemic Evidence from Romanian micro and small enterprises
Authors: Păunescu Carmen , Mátyus Enikő 
Published: November 2020

Abstract
COVID-19 has created an un-precedent crisis for SMEs and challenged each single enterprise to reconsider its business operations and to adapt to the new unexpected circumstances. The present paper aims to explore the resilience measures that the micro and small enterprises in Romania can consider to dealing with the disruptions caused by the pandemic. A questionnaire-based survey was used to collect data from a sample of micro and small enterprises operating in the central part of the country. An exploratory factor analysis was employed to identify underlying variables that explain the pattern of correlations between the resilience measures for enterprises, which help them cope with the pandemic effects. There are seventeen resilience measures to the pandemic included in the analysis and further tested in the paper. In addition, a multiple linear regression was conducted to determine which of the resilience measures has the most impact on the enterprises’ overcoming illness. The results show that in order for the micro and small enterprises to better cope with the disruption caused by the COVID-19 pandemic they should demonstrate, on the first place, openness to production innovation and adaptation and ensure a strong support for customers and communities. On the second place, efforts should be directed toward ensuring efficiency of their internal operational management and worker protection. While there exist external circumstances that lead enterprises to adopt several resilience measures to better respond to the pandemic, the motivations that are most relevant in this decision are generally internal in nature.
Working from home during COVID-19 pandemic: lessons learned and issues
Authors: Bolisani Ettore , Scarso Enrico , Ipsen Christine , Kirchner Kathrin , Hansen John Paulin 
Published: November 2020

Abstract
During the COVID pandemic, many companies, schools, and public organizations all around the world asked their employees to work from home i.e. to adopt what are called “smart working” modalities. This has and will presumably have a serious impact on both employees and employers, which still needs to be clarified and investigated: indeed, if smart working becomes a common working modality, this may have a significant impact on both organizations and employees. This paper reports the results of an online survey of “smart workers” in Italy during the COVID pandemic, when a great number of employees suddenly moved to working from home with no or little preparation. The study offers interesting indications about the involvement and usefulness perception of smart working by the sampled people and makes it possible to single out different categories of employees based on their attitude towards this modality. Also, it points out the potential impact on socialization among colleagues, and the consequent implications for knowledge sharing and knowledge management. From the collected responses, a fully positive or negative conclusion about working from home was not possible, nor a clear indication about the efficiency and effectiveness of this working modality. The analysis, instead, highlighted the presence of different but numerically similar groups of people, i.e. those who were not satisfied at all with the experience, those who were very satisfied, and those who were “undecided”. Furthermore, respondents underlined the importance and the difficulty to maintain working contacts and the intense use of communication systems made for this purpose. Lastly, collected opinions on positive and negative aspects of working from home provided some practical suggestions about how to successfully implement this solution.
Research Trends in Marketing Science Before COVID-19 Outbreak: A Literature Review
Authors: Maulana Noveri 
Published: November 2020

Abstract
The research trends after COVID-19 pandemic will be changing and more challenging. This study is aimed to review the trends of marketing research in the first semester of 2020. There are three parts of this analysis. First, review was made to summarize the trend of research domain and model. Second, the trend of data collection method is also synthesized. Third, trends of data analysis method are being categorized. Result shows that before COVID-19 outbreak, research model in marketing studies was dominated by Literature Review articles (systematic, integrative, and meta-analysis), and also Experimental Studies on various consumer behaviour topics. In term of data collection methods, Purposive Sampling and Amazon Mechanical Turk (MTurk) are two approaches that popularly used by the researchers. On the trend of data analysis method, ANOVA, Regression, and Qualitative Analysis are three popular methods which used among the studies. Future research agendas after the pandemic are also discussed in this study.
The impact of COVID-19 on consumer behavior in retail banking. Evidence from Romania
Authors: Baicu Claudia Gabriela , Gârdan Iuliana Petronela , Gârdan Daniel Adrian , Epuran Gheorghe 
Published: November 2020

Abstract
The pandemic COVID-19 has severely affected the global economy. The strict lockdown measures have also changed the daily live, including consumer behavior in retail banking. In this context, the purpose of this paper is to investigate the impact of the COVID-19 crisis on consumer behavior in retail banking, with a special focus on the Romanian banking sector. To achieve our goal, we performed a survey among the Romanian consumers in retail banking, using as research method the field survey based on questionnaire. The final sample comprised 738 valid responses from the metropolitan area retail banking consumers. The research brings a fresh insight on retail banking services consumption during the pandemic and validates a conceptual model regarding the internet and mobile banking services acceptance. The research’ results highlighted, among others, that the variable concerning the perception of the COVID-19 pandemic effect on consumers’ lifestyle has a direct and positive influence on the variable regarding the attitude toward internet and mobile banking services, mediated by other variables like safety of internet and mobile banking use and trust in banks. Several social and managerial implications are also discussed, because it is possible that the tendency to use internet and mobile banking services will prevail even after the post pandemic stage, as new consumption behavior models are developing. Banks in Romania should increase their initiatives to offer financial education courses and online tutorials to familiarize customers with the use of digital channels. Banks should also improve communication with clients and design new products and services to increase the attractiveness of saving process. They should demonstrate flexibility in negotiating lending and refinancing conditions as well.
Application of Metrological Approaches in the Design of Calibration Equipment for Verification of Float Level Gauges
Authors: Kučera Ľuboš , Patin Branislav , Gajdošík Tomáš , Palenčár Rudolf , Palenčár Jakub , Ujlaky Miloš 
Published: November 2020

Abstract
The paper deals with a scientific approach for an increase of accuracy of measurement and possibilities for automation of the standard equipment for calibration and verification of float level gauges. They are applied in high-capacity fuel storage tanks, and they are intended to measure the level of stored liquid hydrocarbons. In the submitted paper, we describe original approaches towards metrological control of float level gauges. Firstly, we present and describe the current ways of control by means of the standard equipment of the first generation with a precision caliper and manual measuring wire with the application of modern scientific and developing processes. A new system, whose design is based on research and development, represents a fully automated measuring system which utilizes the incremental optical encoder with a precision graduated ring and a rewind pulley. The paper deals with the issue of a design of the standard equipment and its measurement system from the standpoint of metrology and construction. Based on scientific procedures, we solve reasons of errors in measurement and their reduction on concrete components of the measurement system. The result is that, following the scientific approach and mathematical description of the determination of measurement uncertainties, constructors are able to design suitable tolerances for the production of components of measuring devices and related materials and technologies.
Sensitivity Analysis of the Simply Noise-matched Receiving Coil for NMR Experiments
Authors: Andris Peter , Frollo Ivan 
Published: November 2020

Abstract
The article analyzes the sensitivity of unmatched receiving coil for the NMR scanner. Receiver of the scanner was investigated from the point of view of noise features. Theory of the noise figure has been modified to utilize the receiver for digitization of its own noise and the noise figure calculation. The resulting noise figure has been measured with different source impedances and the optimal value has been acquired. Influence of the noise figure on the resulting signal-to-noise ratio has been calculated for the sensitivity judgement. The output SNR has been investigated for constant input SNR as well as for constant input voltage. Many results are depicted in figures. Also examples of theoretical results are depicted graphically.