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  • Author: Valentinas Navickas x
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Strategical Perspective of Corporate Environmental Policy

The authors of the article analyze the benefits of corporate environmental policy in pursuance of a competitive advantage in the global market. Corporate environmental policy described as a strategic business investment opens new possibilities for their relationships with stakeholders and contributes to the promotion of social activity and to the attainment of the competitive advantage. By emphasizing the positive environmental policy's impact on competitive advantage of corporation in the global market the article treats of corporate environmental performance benefits, which are defined as improvement of relations with all stakeholders, intensification of corporation image, reputation development, business growth and customer loyalty. The paper deals with the development of Lithuanian corporate environmental policy in recent years and investigates the relationship between corporation activities and the improvement of relations with the stakeholders, which influences intensification of corporation's image and thereby increases competitive advantage of corporation. Researching the impact of corporate environmental policy on increasing competitive advantage, the authors found that active environmental performance positively influences business relationships with stakeholder groups and increases their competitive advantage in the global market.

Abstract

The aim of this study was to determine the level of use of social network job search different generations X, Y, Z. We have used the method of literature study, the questionnaire method and the statistical methods, the method of comparison and deduction in the article. We meet the concept of a social network on a daily basis and many people use them. Among the young people, there is probably no one in a civilized world who would not come into contact with them. They are part of not only private but also professional life. People of generation X consider work to be the most important value in their value list. In their work they are loyal, they do not seek changes voluntarily, because they prefer certainty. This generation is characterized by the fact that technology and technology are not at the same level as the younger Y generation, but generation X is adapting to technical and information progress. People called Generation Y are considered to be an ambitious generation for whom it is important to have an interesting job and a high standard of living. This generation is looking for changes and challenges in its work. Generation Y favors their personal life, family, and partner in the ranks of values before work. They are innovative, creative and they like to develop and train in their work. They work efficiently and flexibly. Generation Z is the first generation that has not experienced a world without the ultimate digitization, they are called “digital people” and there is nothing easier for them to live without living communication with the world, they are more comfortable in the home on the Internet. Generation Z addresses everything with modern technologies.

Abstract

In this article the relationship between shadow economy and its’ determinants has been examined. Ten Eastern countries from European Union were chosen due to specific particularities, which may cause higher shadow economy levels in the investigated countries compared with the EU average. Time span of 2003-2016 was selected, as 2017 data has yet to be released at the time of the analysis. Article consists of examination of the current situation and shadow economy trends in Eastern European countries; overview of shadow economy scientific literature followed by hypothesis, which are examined by constructing regression models. Models aim to distinguish the relationship between selected determinants and shadow economy size. Scientific literature analysis revealed that increase of tax burden on labor is seen as a primary reason for the increase of shadow economy, however, such relation has not been identified. Furthermore, results show that unemployment and self-employed people ratio affect shadow economy insignificantly. This suggests that further analysis is needed. Nonetheless, regression model has not rejected the hypotheses of corruption level, income inequality, business freedom and GDP per capita effect on shadow economy. Thus, it can be stated that these variables are determinants of shadow economy in Eastern European countries.

Abstract

The strategies of competitive advantage are changing dramatically because of high technology development. The data size in the world is multiplying rapidly - the amount of information in the world doubles every 12 months. Therefore, the authors analyzed Big data in the food supply chain. The methodology used in the paper consists of a review of global competitiveness reports and secondary data analysis together with document-based literature synthesis; a competitiveness maximization methodology was modelled referring to a case of small markets. The supply of food industry is complicated, because of various regulations and a demand for high quality products just on time. Various companies are transporting partial freight; therefore, the visibility, lead-time and cost minimization is essential for them. However, they are unable to use all the gathered information and are not utilizing the potential that is possible. The problem of data analysis is a bigger concern to the smaller markets. Many of the small markets are less developed countries that still are not using Big data in their enterprises. In addition, new technologies are developing in the Big data industry. Therefore, the gap of technology will increase even more between large and small markets. The analysed innovation level and technology usage indicated a need for the food industry to change competitiveness strategies. Therefore, the authors developed a competitiveness strategy that is orientated to the food industry of small markets.

Abstract

The Future production systems’ increasing significance will impose work, which maintains not a competitive, but a collaboration basis, with concentrated resources and expertise, which can help to reach the general purpose. One form of collaboration among medium-size business organizations is work in clusters. Clusterization as a phenomenon has been known from quite a long time, but it offers simple benefits to researches at micro and medium levels. The clusterization process evaluation in macroeconomic dimensions has been comparatively little investigated. Thereby, in this article, the clusterization processes is analysed by concentrating our attention on macroeconomic factor researches. The authors analyse clusterization’s influence on country’s macroeconomic growth; they apply a structure research methodology for clusterization’s macroeconomic influence evaluation and propose that clusterization processes benefit macroeconomic analysis. The theoretical model of clusterization processes was validated by referring to a biomass cluster case. Because biomass cluster case is a new phenomenon, currently there are no other scientific approaches to them. The authors’ accomplished researches show that clusterization allows the achievement of a large positive slip in macroeconomics, which proves to lead to a high value added to creation, a faster country economic growth, and social situation amelioration.

Abstract

The Future production systems’ increasing significance will impose work, which maintains not a competitive, but a collaboration basis, with concentrated resources and expertise, which can help to reach the general purpose. One form of collaboration among medium-size business organizations is work in clusters. Clusterization as a phenomenon has been known from quite a long time, but it offers simple benefits to researches at micro and medium levels. The clusterization process evaluation in macroeconomic dimensions has been comparatively little investigated. Thereby, in this article, the clusterization processes is analysed by concentrating our attention on macroeconomic factor researches. The authors analyse clusterization’s influence on country’s macroeconomic growth; they apply a structure research methodology for clusterization’s macroeconomic influence evaluation and propose that clusterization processes benefit macroeconomic analysis. The theoretical model of clusterization processes was validated by referring to a biomass cluster case. Because biomass cluster case is a new phenomenon, currently there are no other scientific approaches to them. The authors’ accomplished researches show that clusterization allows the achievement of a large positive slip in macroeconomics, which proves to lead to a high value added to creation, a faster country economic growth, and social situation amelioration.