Browsing 11th International Scientific Conference “Business and Management 2020” by Department "Verslo technologijų ir verslininkystės katedra / Department of Business Technologies and Entrepreneurship"
Now showing items 1-6 of 6
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Assessment of influence of management transformations and risk for tourism business
(11th International Scientific Conference “Business and Management 2020”, 2020)The reality of development of tourism business is faced with problems of unsuspected events and unsustainable management issues. This research explores the need to evaluate the types of risk in tourism business sector. The ... -
Competition assessment in business negotiations under distorting market conditions
(11th International Scientific Conference “Business and Management 2020”, 2020)The competition assessment process provides an analytical framework for business negotiation entities to mitigate, or avoid potential competition problems. It helps to identify possible alternatives that may reduce, or ... -
Evaluation of knowledge transfer internationalisation level
(11th International Scientific Conference “Business and Management 2020”, 2020)Knowledge and the ability to transfer it effectively becomes a valuable skill, that goes beyond a particular business sector. In 2015 United Nations developed the 2030 Agenda for Sustainable Develop-ment Goals (SDG), which ... -
International business negotiations in a regulated and incomplete information market
(11th International Scientific Conference “Business and Management 2020”, 2020)Regulations and government interventions often restrict competition in the market and rise cer-tain challenges in business negotiations, when competition in the market is more or less distorted. Remov-ing unnecessary ... -
Logistics and international trade development relationship: evidence of European Union member states
(11th International Scientific Conference “Business and Management 2020”, 2020)International trade (IT) is recognised as one of the driving forces for business and the growth of countries’ economic. The amount of IT flows is contributed by the “logistics revolution”. According to the conceptual ... -
Study of different data science methods for demand prediction and replenishment forecasting at retail network
(11th International Scientific Conference “Business and Management 2020”, 2020)The demand prediction becoming an essential tool to remain or even lead in the competitionamong the retail businesses. A well-done demand prediction model could help retailer to track the level ofinventory, orders and sales ...