Now showing items 1-11 of 11

    • 11th International Scientific Conference “Business and Management 2020” 

      Vilnius Gediminas Technical University; Verslo vadybos fakultetas / Faculty of Business Management (2020)
    • Assessment of the dynamics and forecasts of mergers and acquisitions in the Baltic States 

      Garškaitė-Milvydienė, Kristina (11th International Scientific Conference “Business and Management 2020”, 2020)
      In terms of corporate merger and acquisition (M&A) deals, the year 2018 was an exceptional year for the Baltic States, with the highest number of deals in the region over the past few years. However, not only were their ...
    • Comparative efficiency analysis of conventional banks and Islamic banks: in evidence of Pakistan 

      Mehmood, Khalid; Lace, Natalja; Danilevičienė, Irena (11th International Scientific Conference “Business and Management 2020”, 2020)
      The study evaluates the comparison and efficiency of Pakistani Islamic and conventional banks. Data are collected from the reports of banks website and state bank of Pakistan for the period 2013−2017. Used financial ratios ...
    • Developments of the European Union's export directions in the context of the US-EU trade war 

      Solnyškinienė, Jolanta; Černis, Beata (11th International Scientific Conference “Business and Management 2020”, 2020)
      The article assesses which countries in the world are most suitable for export such goods as aluminum, steel, cheese, and meat from the European Union in the context of the European Union – US trade wars. The theoretical ...
    • Evaluation of knowledge transfer internationalisation level 

      Misiūnaitė, Rasa; Žemaitis, Eigirdas (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 ...
    • Identification of features of a green organization based on bibliometric analysis 

      Smirnova, Juliana (11th International Scientific Conference “Business and Management 2020”, 2020)
      As sustainable development has become a priority of today’s global society, more and more or-ganizations in their activities take into account the main directions of sustainable development − the close-ly interrelated ...
    • Investigation of credit cards fraud detection by using deep learning and classification algorithms 

      Pratuzaitė, Greta; Maknickienė, Nijolė (11th International Scientific Conference “Business and Management 2020”, 2020)
      Criminal financial behaviour is a problem for both banks and newly created fintech companies. Credit card fraud detection becomes a challenge for any such company. The aim of this paper is to com-pare ability to detect ...
    • Investigation of decision making support in digital trading 

      Stalovinaitė, Ilona; Maknickienė, Nijolė; Martinkutė-Kaulienė, Raimonda (11th International Scientific Conference “Business and Management 2020”, 2020)
      In order to trade successfully investors are looking for the best method to determine possible di-rections of the price changes of financial means. The main objective of this paper is to evaluate the results of digital ...
    • Key performance indicators of compatibility process between knowledge workers and workplaces 

      Gaižauskienė, Laura; Tunčikienė, Živilė (11th International Scientific Conference “Business and Management 2020”, 2020)
      The study in this article reveals the main structure of indicators that should be used in order to measure compatibility process in knowledge-intense organizations. Due to shift of management logic of Fit theory and ...
    • Pest environment for enhancing the development of sharing economy 

      Grybaitė, Virginija; Stankevičienė, Jelena (11th International Scientific Conference “Business and Management 2020”, 2020)
      The aim of the paper is to estimate and to compare sharing economy development processes in17 EU countries and the United Kingdom. Based on literature review, authors compiled a set of indicatorsand used them for research ...
    • Study of different data science methods for demand prediction and replenishment forecasting at retail network 

      Iurasov, Aleksei; Stanelyte, Giedre (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 ...