Database.use.hdl: https://cris.mruni.eu/cris/handle/007/20799
Now showing 1 - 10 of 64
  • research article
    Bayar, Yilmaz
    ;
    Gavriletea, Marius Dan
    ;
    Oeconomia copernicana, p. 1009-1035
    Research background: Tourism sector is considered as a driving force of economic develop-ment and understanding factors that deter the flow of tourists and hinder its development, which is essential for all actors involved in this industry. Oeconomia Copernicana,14(3), 1009–10351010 Purpose of the article: The purpose of the article is to investigate the impact of rule of law, corruption, and terrorism on tourism in 14 coastal states of the Mediterranean Sea based on the United Nations classification. Methods: The short and long-run relationships among the rule of law, corruption, terrorism and tourism are respectively analyzed through Dumitrescu and Hurlin causality test and LM bootstrap cointegration test taking notice of the presence of heterogeneity and cross-sectional dependence. Findings & value added: The causality analysis reveals that control of corruption has a signif-icant influence on tourism only in the short run. The cointegration analysis uncovers that terrorism negatively affects the tourism in Albania, Algeria, Egypt, and Tunisia, but im-provements in corruption also positively affect the tourism in Albania, Algeria, Bosnia and Herzegovina, Greece and Italy. Last, the rule of law has a positive impact on tourism in Egypt, Greece, and Israel. In this context, the rule of law can also be a key factor for tourism devel-opment via combat with corruption and terrorism. Based on some unique characteristics, the Mediterranean region has consolidated its position as the world's leading tourist destination, but to maintain this competitive position, it is crucial to recognize and adopt strategies that respond to all key challenges faced by this sector
      5WOS© IF 8.5WOS© AIF 3.7Scopus© SNIP 1.536
  • research article;
    Administrație și management public. Bucharest : Bucharest University of Economic Studies, 2022, vol. 38., p. 6-30
    Effective regulation of the labour market depends to a large extent on the quality of public administration. The Covid-19 pandemic highlighted the problem of unemployment in regions, which led to the spread of the shadow economy. The article aims to research the relationship between the unemployment rate and the shadow economy in Lithuanian regions over the period 2000-2019, to reveal the regional disparities in terms of the above-mentioned economic variables and submit recommendations to municipal authorities on how to reduce the strength of the relationship under consideration. Pearson and MCD correlation coefficients revealed that the relationship between the unemployment rate and the shadow economy is negative in all Lithuanian regions. An increase/decrease in the unemployment rate leads to a decrease/increase in the size of the shadow economy. The hypothesis proposing that “the municipalities with a high unemployment rate tend to have a stronger relationship with the size of the shadow economy” was only partly confirmed. The strongest relationships between the unemployment rate and the size of the shadow economy were found in Visaginas and Marijampolė municipalities, meanwhile only the calculated median values indicated that the unemployment rate in Visaginas amounted to 11.8 percent, and in Marijampolė – to 11.2 percent over the period under consideration. The two above- mentioned municipalities are among the municipalities with the highest unemployment rate, but lag behind Lazdynai (15 percent), Ignalina (14.9 percent.), Kalvarija (14.6 percent), Akmenė (14.5 percent), Jurbarkas (14 percent), and Zarasai (14 percent) municipalities. Considering the results, cooperation between the Employment Service and Lithuanian municipalities should be improved with a view to identifying whether a p erson registered with the Employment Service has applied to a municipality for social support; the State Labour Inspectorate, the Employment Service and the State Tax Inspectorate should also improve their cooperation to establish the principles for exchange of the data on the activities of the labour force assigned to risk groups.
      2Scopus© SNIP 0.777
  • research article
    Grybaitė, Virginija
    ;
    Stankevičienė, Jelena
    ;
    Lapinskienė, Giedrė
    ;
    Amfiteatru economic journal. Bucuresti : The Bucharest University of Economic Studies, 2022, vol. 24, no. 59., p. 194-213
    The rapid growth of the sharing economy attracts attention from scientists, businesses, and governments. The European Commission acknowledges the benefits of the sharing economy and emphasises that European countries should be open to the new opportunities that the sharing economy brings. The sharing economy makes an essential contribution to job creation and growth in the European Union. The sharing economy creates new markets and expands existing ones. It makes the use of resources more efficient due to the extensive sharing of assets. Sharing improves resource conservation and efficiency of use, reformats consumption patterns, raises the spirit of entrepreneurship and responsibility of every capital owner, and improves social trust among people worldwide. Despite the focus of researchers on the sharing economy, there is still a lack of research on conditions that stimulate the sharing economy’s growth. The article lays the foundation for creating a more comprehensive methodology for assessing the growth of the sharing economy. The authors apply multi-criterion decision-making methods for research purposes, such as EDAS and PROMETHEE II, and recently developed CILOS and IDOCRIW for criteria weight calculation. A hierarchy structure of criteria for evaluating sharing economy growth was created and presented in the paper. The resulting weights of criteria of performance of sharing economy growth were obtained. The prominent features of hierarchy structures and the methodology for calculating ultimate weights are described and demonstrated. The results reveal that the environment is more favourable for sharing economy growth in the Netherlands, Germany, and Sweden among the chosen European countries.
    WOS© IF 2.6WOS© AIF 5.4Scopus© SNIP 0.567
  • research article
    Gasparėnienė, Ligita
    ;
    ; ;
    Vėbraitė, Vigita
    Inžinerinė ekonomika = Engineering economics. Kaunas : Kaunas University of Technology, 2021, vol. 32, no. 4., p. 362-375
    In order to forecast stock prices based on economic indicators, many studies have been conducted using well-known statistical methods. Meanwhile, since ~2010 as the power of computers improved, new methods of machine learning began to be used. It would be interesting to know how those algorithms using a variety of mathematical and statistical methods, are able to predict the stock market. The purpose of this article is to model the monthly price of the S&P 500 index based on U.S. economic indicators using statistical, machine learning, deep learning approaches and finally compare metrics of those models. After the selection of indicators according to the data visualization, multicollinearity tests, statistical significance tests, 3 out of 27 indicators remained. The main finding of the research is that the authors improved the baseline statistical linear regression model by 19 percent using a ML Random Forest algorithm. In this way, model achieved accuracy 97.68 % of prediction S&P 500 index.
    WOS© IF 1.83WOS© AIF 3.486Scopus© SNIP 0.628
  • research article;
    Ahmed, Rizwan Raheem
    Oeconomia copernicana. Olsztyn : Institute of Economic Research, 2021, vol. 12, iss. 1., p. 125-127
    Research background: This paper integrates the marketing and corporate social responsibility concepts by investigating how the previous studies debated CSR as a business strategy. This discussion extended from academics to business practices. Hence, this study investigated the concept of CSR as a business strategy in a mul-tifactorial fashion in the marketing field. Purpose of the article: This study evaluates the modified model of CSR initia-tives as business and marketing strategy and their impact on customers' buying behavior. For this purpose, we have taken dimensions of Carroll's pyramid of CSR as marketing strategies. We have also examined the influence of brand loyalty and cause-related marketing as mediating variables and technology as a moderator be-tween dimensions of Carroll's pyramid and customers' buying behavior. Methods: We employed modified theoretical & conceptual model for evaluating the direct and indirect hypothesized relationship. We have collected 693 responses from the structured & adapted questionnaire. We employed SEM-based multivari-ate modeling to examine the hypothesized relationship. Findings & Value added: The finding of this research exhibited that dimensions of Carroll’s pyramid of CSR have a positive and significant impact on customers' buying behavior. The results further demonstrated that brand loyalty and cause-related marketing positively and significantly impact mediators between CSR dimensions and customers’ buying behavior. Finally, the technology has a signifi-cant influence as a moderator between exogenous and endogenous factors. The undertaken study demonstrated important theoretical and practical implications. The modified conceptual framework has provided several new dimensions for futu-re researchers to use and replicate in different economic sectors. On the other hand, practitioners of the pharmaceutical industry should incorporate Carroll's CSR py-ramid as business strategies to gain the trust and respect of their customers.
      39WOS© IF 6.574WOS© AIF 3.486Scopus© SNIP 1.406
  • research article;
    Šermukšnytė Alešiūnienė, Kristina
    ;
    ;
    Kowalska, Katarzyna
    Social and economic revue = Sociálno-ekonomická revue. Trenčin : Alexander Dubček University of Trenčin, 2020, vol. 18, no. 2., p. 12-19
    Technology has been completely revolutionizing the present era and digital transformation is expected to have a major impact on almost any industry. Agri-food industry SMEs which face everyday problems and which could be possibly solved by digitalization. Considering the fact that other industrial sectors are often more advanced in digitalization than the agricultural sector, this article aims to analyze the challenges existing in the process of digital transformation by SMEs in the agri-food sector in Lithuania. Considering that, hackathons have become increasingly popular in recent years as a modern tool for innovation, the research is based on HackAgriFood’19 hackathon use case. It has attracted the attention of more than 60 SMEs acting in the Agri-food industry actively. As a result, challenges of adaptation of digitalized products and services by Agri-food sector SME’s were identified and they are presented in this article.
  • research article;
    Economic and Managerial Spectrum = Ekonomicko-manazerske spektrum. Zilina : University of Zilina, 2020, vol. 14, iss. 1., p. 87-96
    Time series analysis has a long tradition in economics. The foundations of the current time series analysis, focusing on modelling of the development of one time series, were laid in the interwar period. In recent years, many new methods and approaches have emerged in the field of economic time series analysis. Also, the conditions for their practical application in our country have significantly improved in recent years, which is due to the relatively easy availability of a relatively wide range of types of quality software and the growing length of the analysed time series. In this research paper, we focused on the analysis of time series using the ARIMA model to predict the price of gold by the end of 2020. Those who did not believe that the gold price could strengthen significantly shortly before the outbreak of COVID-19 they are not enough to wonder. Its value returned to green numbers after the fall in the price of the commodity, which caused growing concerns after the outbreak of the world virus pandemic. It was the reason for the analysis of this particular commodity. The introduction contains the necessary information on the problem and basic knowledge of the theory of time series and their modelling, characterizes the Box - Jenkins methodology, and finally, the statistical software used. The method describes the procedure of data processing and the creation of the ARIMA model. The results section presents results and predictions in the last part of the discussion and conclusion; the results and interpretations of the results are summarized.
  • research article
    Khlebarodava, Hanna
    ;
    Vadyba = Journal of management. Klaipėda : Lietuvos verslo kolegija, 2019, Nr. 1 (34)., p. 25-35
    Scientific article is dedicated to the identification o f the opportunities of e-recruitment through social media platforms and its future development in Lithuania. The research highlights the concept of e-recruitment, factors that influence e-recruitment through social media platforms. Theoretical aspects o f hiring personnel through e-platforms were analyzed: definition of recruitment, channels of hiring personnel and advantages and disadvantages of e-recruitment. The methodology of expert evaluation was used in the paper. The factors influencing e-recruitment through social media platforms were presented and analyzed according to expert evaluation, opportunities of further development were presented as well. After the theoretical, methodological and empirical part conclusions for successful e-recruitment through social media platforms were presented.
  • research article; ;
    Vadyba = Journal of management. Klaipėda : Lietuvos verslo kolegija, 2019, Nr. 1 (34)., p. 37-45
    Corruption is one of the oldest human problems that poses a serious threat to the process o f economic growth. Corruption in recent decades has been highlighted in many studies. Some corruption studies were focused on the decline of economic indicators, other studies have shown that corruption can increase economic efficiency. Later studies were performed using statistical analysis. The purpose o f this article is to assess the level of corruption in Lithuania, identifying the main factors of the emergence of the shadow economy. Having analysed the level o f corruption in Lithuania, it was found that in Lithuania between 1999 and 2016, the corruption perception index reached an average of 4.96 points, therefore, it can be argued that Lithuania laces large corruption problems and is not able to bring down corruption.
  • research article; ;
    Gonchar, Viktoriya
    ;
    Intelektinė ekonomika = Intellectual economics : scientific research journal. Vilnius : Mykolo Romerio universitetas, 2019, t. 13, Nr. 2., p. 161-171
    Nowadays, in the conditions of permanent economic instability it is very important to find effective instruments of sustainability of economic security. There is awareness that economic security is based on investment attractiveness of corporate and other assets. It can explain scientific interest to the research of increasing investment attractiveness of assets with the help of marketing methods and how it will influence the level of economic security in the country. The present manuscript focuses on the research of the marketing investment marketing support in the system of economic security of the state. Initially, the data that confirm the influence of marketing mechanisms of investment activity were provided. Additionally, we introduced the ways of effective introduction of investment activity based on marketing and the system of economic security. We conclude with a discussion on where the future of marketing in investments and economic security lies.
      8  1Scopus© SNIP 0.854