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• International Coffee Trade Network Analysis

  393-404

  János Pancsira

  Péter Lengyel

  Views:

  275

  Coffee is one of the most consumed beverages in the world. It is the second largest traded commodity after petroleum. It is crucial for the economy and politics of many developing countries, as its cultivation, processing, trade, transportation and distribution create jobs for millions of people. The analysis of network connections and structures became popular in the field of sociology, whereby the term Social Network Analysis (SNA) is derived. The method is well suited for the complex examination and modelling of composite social structures. The social network is defined as a finite set of social actors and the relationships between them. Modelling of complex networks now apply in countless locations, from social media through the pharmaceutical industry to economic and commercial processes. Our study examines changes in international coffee trade through a network analysis. Introducing the complex networks investigate by our, highlighting major changes in international coffee trade.

• Co-authorship Network Analysis

  76-84

  Péter Lengyel

  János Pancsira

  István Füzesi

  Views:

  165

  The methodological basis of research on networks is given by graph theory. During the network analysis we work with a big data population and we are mainly analysing the relationships of the actors, which can be visualized with the graph network. The analysis of social network is becoming more and more popular in academic life as well. Most of the co-authorship networks are built around a number of prestigious people who manage their own network as a central player creating cliques.

• Examining Drone Logistics Solutions in Retail

  48-61

  István Füzesi

  Szabolcs Preznyák

  Róbert Szilágyi

  Péter Lengyel

  Views:

  175

  The possibilities of using drones in transportation will be determined by the capabilities of drone technology, legislation, various advocacy and trade unions, and the degree of general acceptance. Technology and infrastructure are given, customer habits and needs are favourable, and emissions generated by packets moving between two points are growing steadily. Despite these favourable conditions, the effects of drone use should be thoroughly reviewed. The environmental impacts of the project were analyzed by PEST analysis and the main influencing factors were studied using the Porter model. Concluding our results based on questionnaire surveys and feasibility examinations of fast food delivery, it can be said that a system based on drones can efficiently be operated and cost-effective using round trips, however, the legal issues and uncertainties that arise in the delivery of drone hippers remain a very significant hindering factor for a long time.