The multi-criteria analysis of corporate social responsibility: a comparative study of Russia, Bulgaria and Serbia

Cross-cultural research on corporate social responsibility (CSR) dealing with specific stakeholder groups is fairly rare in the existing literature. The aim of this research is to investigate the level of recognition of CSR in companies by employees working in micro/small, medium-sized and large companies. The research is based on the survey conducted in Bulgaria, Russia and Serbia with the employees' attitudes obtained via a structured questionnaire. A similar socio-historical background of the three countries and different levels of accomplished socio-economic development at present is taken into account. A proposed ranking methodology was based on the multi-criteria decision analysis approach, observed through five studied dimensions: environmental, social, economic, stakeholder and voluntariness. The ranking was carried out using the integrated Entropy-PROMETHEE-GAIA method, where the Entropy method was used for determining the weights of the criteria, whereas PROMETHEE-GAIA was used for final ranking. The obtained results were analyzed from the multi-cultural point of view and show more significant differences in the attitudes of employees from different countries, rather than when the size of a company is taken into consideration

Concept of Online Distance Learning System on Sustainable Development in the Cross-border Region

The paper contains a description of applications of information and communication technologies for the creation of learning content and methods of its adaptation for distance learning. A concept for an on-line distance learning system of a program for sustainable development of tourism in the cross-border region Bulgaria-Romania has been developed and described. A self-learning approach is presented to business representatives and stakeholders, implementing expert solutions for the provision of tourist services and the development of tourist products. The status and use of the system for the period 2013-2018 is validated

Data Management Conceptual Algorithm of Transnational Digital Scientific Infrastructure as an Answer to the Globalization Challenges

Research background: The research background of the article has been formed by the analyses and expert assessments, made during the development of 10 different, strategic plans for the development of transnational digital distributed scientific infrastructure. This type of scientific network represents the answer of the regional research institutions, scientists, and businesses to the globalization challenges and emerging technologies. Purpose of the article: The purpose of the paper is to contribute to the enrichment of the limited amount of literature on project management of digital transnational science networks through presenting a conceptual algorithm of a starting-up scientific infrastructure project. Methods: The approach is based on defining the core inter-related features of a data management, developed for the needs of a newly- establishing virtual transnational scientific infrastructure. It is aiming to justify the defined principles for FAIR data, Data set description, Standards, and metadata, Data sharing, access and preservation, Restricted and Open research data, Data quality, laid down by the data management conceptual algorithm. Findings & Value added: The algorithm has been presented as an integral part of a won project aiming to establish a virtual trans-national science infrastructure between partners from 5 EU countries. The findings are dealing with the definition of new organizational models based on a common mega-data system. The proper adaptation of the data management algorithm by each partner will improve the information management within its specific infrastructures as well as the visibility of their research outputs