scholarly journals TRENDS OF MUNICIPAL WASTE FLOWS, COMPOSITION, TREATMENT IN LITHUANIA AND ITS REGIONS

2021 ◽  
Author(s):  
Jelena Stankevičienė ◽  
Julija Bužinskė
Keyword(s):  
Conceptual Model ◽  
Statistical Data ◽  
Scientific Literature ◽  
Local Level ◽  
Regional Level ◽  
Municipal Waste ◽  
Decision Making Process ◽  
Active Involvement ◽  
Its Regions ◽  
Practical Implications

Purpose – to propose conceptual model for forecasting of waste trends and empirically implement the model based on the case of Lithuania and its regions. Research methodology – 1) scientific literature analysis on circular economy, zero waste and waste management, 2) gathering of statistical data on waste flows, composition and treatment 3) creation of conceptual model of forecasting with Exponential Smoothing for prediction of waste-related trends based on literature review. Findings – proposed conceptual model for prediction of waste-related trends is adequate for prognosis of waste flows, composition and treatment ways. The main forecasting results are that the total waste flows will increase in Lithuania, on a regional level, Alytus, Kaunas, Klaipėda, Telšiai, have a tendency of the increase in municipal waste flows. The results imply that in order to contribute to the reduction of waste, the active involvement on a regional level is necessary. Research limitations – the research can be extended with statistical data on waste of other countries to check adequacy of the conceptual model for waste-related trends prognosis. Practical implications – the findings of the research can be applied in planning and decision-making process of gov-ernment bodies on national or local level. The results are also useful for the general public in educational purposes. Originality/Value – the study provides original conceptual model for the forecasting of waste-related trends which provides robust results of predictions and can be replicated by different countries.

scholarly journals Return Migration During Coronavirus Disease (COVID-19) Outbreak in Special Region of Yogyakarta, Indonesia

GeoEco ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 50
Author(s):  
Agus Joko Pitoyo ◽  
Bagas Aditya ◽  
Sumini Sumini ◽  
Arya Nugraha ◽  
Septi Nurhayati
Keyword(s):  
Social Capital ◽  
Return Migration ◽  
Local Community ◽  
Statistical Data ◽  
Economic Condition ◽  
Local Level ◽  
Regional Level ◽  
Population Mobility ◽  
The Republic ◽  
Special Region

<p><em>Population mobility during pandemic becomes the concern for government since COVID-19 has known spreading through droplets. Special Region of Yogyakarta is one of the provinces in Indonesia that is dealing with the problem of population mobility, especially in return migration during the pandemic. This study aims to give short analysis on the potency of return migration. This study is essential both for academic and practitioner in managing population mobility during pandemic. The analysis was supported by statistical data from Ministry of Health of the Republic of Indonesia, news, and related journals. This study confirms that return migration during the pandemic plays a role in causing new transmission centers. It means that migrants have a role in carrying the virus, in which the severity of its spread is determined by the interactions between infected migrants and local community and between infected local community and other local community. Lockdown in the local level such as villages is considerably more effective rather than massive travel bans in regional level. Local lockdown is considered to be more effective because it makes easy in controlling and also give little impact to the economic condition. Social capital and grassroot involvement is key to stop this pandemic.</em></p>

scholarly journals BUSINESS IN MODERN CONDITIONS OF MANAGEMENT

2019 ◽  
Vol 5 (2) ◽  
pp. 206
Author(s):  
Svitlana Sliusar
Keyword(s):  
Statistical Data ◽  
Scientific Literature ◽  
Economic Consequences ◽  
Evidence Based ◽  
Administrative Services ◽  
Current State ◽  
Business Entities ◽  
Practical Implications ◽  
Small And Medium Business

The paper’s purpose is to provide recommendations for carrying out theoretical bases of existence, the analysis of the current state and the prospects of development of business in Ukraine. Methodology. During the writing of the article, the following research methods were used: the search for available methodological and scientific literature, comparison, clarification of causal relationships, systematization, analysis of documentation and results of researchers’ work on the problem of the conducted research and expert evaluation. Results. Business development is very difficult and multidimensional, and the influence of many factors on small and medium business entities and is ambiguous and, therefore, demands further complex evidence-based analysis. It concerns such aspects of a research as: a research of positive processes in the conditions of making shifts in infrastructure, which cause the accelerated development of small and medium business entities and its social and economic consequences; deeper determination of regularities of formation and development of small business as one of structure-forming factors of market economy of Ukraine; improvement of the organizational and economic mechanism of the state support of small and medium business in Ukraine and also in its certain regions and spheres of action. Practical implications. It is noticed, there are positive shifts in the course of improvement of conditions of business because of the reduction of a number of permitting documents and licensing types, simplification of procedures for obtaining licenses and permissions, reduction of the controlling pressure upon business, improvement of the sphere of providing administrative services, strengthening of responsibility for violation of the legislation in the sphere of economic activity. Value/originality. In the article, the latest statistical data are used according to the analysis of the current state of functioning of business in Ukraine, problems and the directions of development of small and medium business in Ukraine are selected.

scholarly journals THE USE OF FUZZY LOGIC WHILE MODELING THE CREDITWORTHINESS OF LEGAL ENTITIES

2020 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Olga Palamarchuk
Keyword(s):  
Fuzzy Logic ◽  
Statistical Data ◽  
Expert Knowledge ◽  
Methodological Approach ◽  
Financial Statements ◽  
Rule Base ◽  
Decision Making Process ◽  
Domestic Enterprise ◽  
Practical Implications ◽  
Legal Entities

The purpose of the article is to develop a methodological approach to support the decision-making process in determining the creditworthiness of legal entities, as well as to create economic mathematical models based on this approach using the theory of fuzzy logic and fuzzy sets. Methodology. In the author's work (Palamarchuk, 2013), 49 real financial statements (Form 1 and Form 2) of Ukrainian enterprises were selected, 25 of which were potentially bankrupt and 24 were normally operating enterprises. As a result, 7 coefficients were obtained. Here we continue our modelling and building rule base. Result of the experiment is based on statistical data of domestic enterprise. The model has been constructed with the use of theory of fuzzy logic. Considering the expert knowledge, this model helps to make decisions on whether to provide the legal entity with the loan. Practical implications. The model and methodology can be used in commercial banks of Ukraine for calculating application risks. The known models do not fit to every economy. This is the reason which provides value originality of the topic of this study, which solves the problem of creating a method that would give the most sufficient assessment of creditworthiness.

scholarly journals The Evolution of City Labelling in the Literature

2019 ◽  
Vol 16 (1) ◽  
pp. 40-45
Author(s):  
Primož Pevcin
Keyword(s):  
Urban Policy ◽  
Design Methodology ◽  
Web Of Science ◽  
Scientific Literature ◽  
Local Level ◽  
Technical Literature ◽  
Complex Issue ◽  
Academic Fields ◽  
Urban Problems ◽  
Practical Implications

Abstract Research purpose. Various city labels have become increasingly popular both in literature as well as in urban policy-making. It has become relatively common that cities make a proclamation that they either are or would at least like to become, smart, sustainable, digital, creative, intelligent among other things. These proclamations have become popular for the purpose of solving complex urban problems, electoral gains at the local level, and also for marketing reasons. Nevertheless, those city labels often have a blurry line, in terms of what each label represents and should stand for. It is evident that utilising appropriate city categories and labels has become a rather complex issue. Consequently, this paper would like to investigate this issue. The paper questions the dynamics how different city labels were used throughout the time and to which academic fields are specific city labels related to. Design / Methodology / Approach. We would like to investigate the dynamics how different city labels were used throughout time and which academic fields are specifically related to labels most frequently. For this purpose, we will focus on the content analysis of topics and titles within the Web of Science Core Collection database. Findings. The evidence suggests that the labelling depends also on the time span we are scrutinising and also on the scientific field the literature being related to. Some city labels have become popular just recently, and their appearance in specific academic fields is the differentiator. For instance, the label ‘smart city’ is currently the most important label. But it has become popular only several years ago, and this label appears most frequently in the ‘technical’ literature. The research indicates that city labelling is a rather dynamic process, since some labels are gaining and other labels are losing their popularity in time. Originality / Value / Practical implications. The debate exists in the literature on the suitability of different city labels and terminology utilised. Some labels derive from top-down perspective, others derive from bottom-up perspective, some labels are more holistic than others, some are politically more acceptable than others, etc. Simultaneously, those city labels are often used interchangeably and sometimes they overlap. This paper would like to contribute to the scientific literature by providing additional evidence and explanations on the utilisation of particular city labels.

scholarly journals Analysis of cryptocurrencies market: current situation, tendencies of household investment and future forecasting

2019 ◽  
Author(s):  
Ina Pieczulis ◽  
Kamilė Taujanskaitė
Keyword(s):  
Swot Analysis ◽  
Statistical Data ◽  
Scientific Literature ◽  
Point Of View ◽  
Statistical Data Analysis ◽  
Scientific Investigations ◽  
Currency Exchange ◽  
Risky Investment ◽  
Technical Principles ◽  
Practical Implications

Purpose – the purpose of this study is to analyse the cryptocurrency market and to forecast household investments in it from a theoretical and practical point of view. Research methodology – in order to achieve the aim of the article, scientific literature and statistical data analysis, comparative analysis and SWOT analysis were done. Also, ARIMA forecasting model was adapted to forecast Household investment in cryptocurrencies. Findings – the first part of the study presents the theoretical aspects of cryptocurrencies. An overview of the cryptocurrencies and their market is provided, focusing on the concept of Bitcoins, its’ mining and technical principles of operation. The second part of this study is intended to analyse the cryptocurrencies market and its dynamics. In the last part of the research tendencies of household investments in cryptocurrencies are examined for the period of 2016–2019 according to the data from cryptocurrency exchange. Also, household investments in cryptocurrencies are analysed and major future investment trends and seasonality are identified as well. Household future investment in cryptocurrencies is also predicted. Research limitations – data used in the research only includes currency exchange information, that may be inaccurate when concluding the main trends of the market. Practical implications – the practical results of the study may be useful for households interested in investing, especially in risky investment alternatives. Results of the research justify the dynamics of the currency market and the fluctuation of cryptocurrencies’ prices that shows that investment in cryptocurrencies is very variable, unstable and risky. Originality/Value – cryptocurrencies market is particularly dynamic and fast-changing, so the newest scientific investigations are urgent. In this research, an attempt was made to forecast household investment in main cryptocurrencies

SCORING MODELING BASED ON NEURAL NETWORKS FOR DETERMINING A BANK BORROWER'S RATING

2020 ◽  
Vol 2020 (10) ◽  
pp. 54-62
Author(s):  
Oleksii VASYLIEV ◽  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Statistical Data ◽  
Activation Function ◽  
Decision Making Process ◽  
Neural Network Architecture ◽  
Acceptable Accuracy ◽  
The Neural Network ◽  
Sigmoid Activation Function

The problem of applying neural networks to calculate ratings used in banking in the decision-making process on granting or not granting loans to borrowers is considered. The task is to determine the rating function of the borrower based on a set of statistical data on the effectiveness of loans provided by the bank. When constructing a regression model to calculate the rating function, it is necessary to know its general form. If so, the task is to calculate the parameters that are included in the expression for the rating function. In contrast to this approach, in the case of using neural networks, there is no need to specify the general form for the rating function. Instead, certain neural network architecture is chosen and parameters are calculated for it on the basis of statistical data. Importantly, the same neural network architecture can be used to process different sets of statistical data. The disadvantages of using neural networks include the need to calculate a large number of parameters. There is also no universal algorithm that would determine the optimal neural network architecture. As an example of the use of neural networks to determine the borrower's rating, a model system is considered, in which the borrower's rating is determined by a known non-analytical rating function. A neural network with two inner layers, which contain, respectively, three and two neurons and have a sigmoid activation function, is used for modeling. It is shown that the use of the neural network allows restoring the borrower's rating function with quite acceptable accuracy.

scholarly journals Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature

2021 ◽  
Vol 13 (8) ◽  
pp. 4448
Author(s):  
Alberto Dianin ◽  
Elisa Ravazzoli ◽  
Georg Hauger
Keyword(s):  
Conceptual Model ◽  
Transport System ◽  
Urban Areas ◽  
Autonomous Vehicles ◽  
Scientific Literature ◽  
Social Groups ◽  
Future Studies ◽  
Social Accessibility ◽  
The Relationship

Increasing accessibility and balancing its distribution across space and social groups are two fundamental goals to make transport more sustainable and equitable. In the next decades, autonomous vehicles (AVs) could significantly transform the transport system, influencing accessibility and transport equity. In particular, depending on the assumed features of AVs (e.g., private or collective) and the considered spatial, social, and regulative context (e.g., rural or urban areas), impacts may be very different. Nevertheless, research in this field is still limited, and the relationship between AV assumptions and accessibility impacts is still partially unclear. This paper aims to provide a framework of the key and emerging aspects related to the implications of AVs for accessibility and transport equity. To set this framework, we perform an analysis of the scientific literature based on a conceptual model describing the implications of AVs for the distribution of accessibility across space and social groups. We recognize four main expected impacts of AVs on accessibility: (1) accessibility polarization, (2) accessibility sprawl, (3) exacerbation of social accessibility inequities, and (4) alleviation of social accessibility inequities. These impacts are described and analyzed in relation to the main AV assumptions expected to trigger them through different mechanisms. Based on the results, some recommendations for future studies intending to focus on the relation between AVs, accessibility, and transport equity are provided.

A model of mobile technologies acceptance for knowledge transfer by employees

2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Conceptual Model ◽  
Mobile Devices ◽  
Mobile Technologies ◽  
Intention To Use ◽  
Content Type ◽  
Model Based ◽  
New Variables ◽  
Practical Implications

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

scholarly journals A longitudinal study of e-commerce diversity in Europe

2021 ◽  
Author(s):  
Adam Sadowski ◽  
Karolina Lewandowska-Gwarda ◽  
Renata Pisarek-Bartoszewska ◽  
Per Engelseth
Keyword(s):  
Spatial Data ◽  
Online Shopping ◽  
Statistical Data ◽  
Spatial Diversity ◽  
Regional Level ◽  
Spatial Data Analysis ◽  
Household Preferences ◽  
Global And Local ◽  
Data Analysis Methods ◽  
Local Spatial Autocorrelation

AbstractOwing to increased access to the Internet and the development of electronic commerce, e-commerce has become a common method of shopping in all countries. The purpose of this study is more precisely to research e-commerce diversity in Europe at the regional level and develop the conception of “E-commerce Supply Chain Management”. Statistical data derived from the European Statistical Office were applied to analyse the spatial diversity of e-retailing. Assessments of the regional diversity of e-retailing applied geographic information systems and exploratory spatial data analysis methods such us global and local spatial autocorrelation statistics. Clusters of regions with similar household preferences related to online shopping were identified. A spatial visualisation of the e-retailing diversity phenomenon may be utilised for the reconfiguration of supply chains and to adapt them to actual household preferences related to shopping methods.

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