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    Wyświetlanie 1-4 z 4
    Tytuł:
    An Intelligent Market: Possibilities of a Revolution in Supermarkets Organization Using Agent Based Systems
    Autorzy:
    Cipi, Eva
    Durmishi, Veronika
    Powiązania:
    https://bibliotekanauki.pl/articles/1035666.pdf
    Data publikacji:
    2010
    Wydawca:
    Academicus. International Scientific Journal publishing house
    Tematy:
    information agent
    database system
    software development
    multi-agent-based architecture
    Opis:
    This work is focused on studying the possibilities of a new model in business management, integrating the best solutions of IT in the supermarket enterprises. We aim to show how an agent based system is used to manage successfully a market and why it is considered an efficient method to support the challenges of the supermarket enterprises. In a highly competitive environment, the impact of this phenomenon is visible, noting the increase of the interest for electronic systems which offer intelligent services in some activities as administration, marketing, business services, etc. We think agent based systems are the best choice as tools that can automate the analysis of the database information and locate the real useful things.
    Źródło:
    Academicus International Scientific Journal; 2010, 01; 90-99
    2079-3715
    2309-1088
    Pojawia się w:
    Academicus International Scientific Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investment projects - Their role in the sustainable economic development
    Autorzy:
    Durmishi, Veronika
    Cipi, Eva
    Powiązania:
    https://bibliotekanauki.pl/articles/1035677.pdf
    Data publikacji:
    2010
    Wydawca:
    Academicus. International Scientific Journal publishing house
    Tematy:
    investment
    sustainable development
    rehabilitation
    sea salt
    ecosystem
    environmental pollution
    Opis:
    Characteristic of “sustainable development” is in the “recognition” of the environment as an element, outside of which cannot be thought of overall development of a society. In this article will be treated the rehabilitation project of salt production in Vlore which is the only activity of this type in Albania and the largest in the Balkans. The industry of salt Production in Vlore is part of one of the branches of industry that can contribute in an important way in the national production and in the improvement of the balance of imports-exports. This project is done for two reasons: 1. Technologies used in Albania are of a very old level 2. The current productivity is very low compared with the industrialized countries. This investment project apart from the impact to a sustainable development for the area it also presents a series of other values such as: - Saline can provide water surface which are important for the moderation of climate and air quality. - In the period of their return to their previous conditions they can turn into Lagoons of great value; - Saline serve as a tool for the regulation of flooding in the area in which they are located;
    Źródło:
    Academicus International Scientific Journal; 2010, 01; 60-71
    2079-3715
    2309-1088
    Pojawia się w:
    Academicus International Scientific Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The Greek crisis effects on the Albanian economy
    Autorzy:
    Durmishi, Veronika
    Gjini, Valbona
    Powiązania:
    https://bibliotekanauki.pl/articles/1035824.pdf
    Data publikacji:
    2011
    Wydawca:
    Academicus. International Scientific Journal publishing house
    Tematy:
    Greek Crisis
    negative effects
    positive effects
    the banking system
    investment
    public debt
    Opis:
    The study of the effects of the crisis of Greece has a special significance for two reasons: The first the large number of Albanian immigrants in Greece, and second is the fact that Greek investments are in sectors of economy. The first part of the analysis has to do with the effects of immigrants on the Greek crisis, collapse of economic growth in Greece, increased unemployment and poverty, which affects the emigrants. The second part of the analysis is the impact of the crisis in the Greek banking system, which is analyzed in several aspects: the safety of deposits, the credit of the Albanian economy and the investment banking sector. The third part of the analysis concerns the reduction of foreign direct investment. Reduction of Greek investments in the banking and telecommunications will grow negative effects.
    Źródło:
    Academicus International Scientific Journal; 2011, 04; 130-135
    2079-3715
    2309-1088
    Pojawia się w:
    Academicus International Scientific Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial neural networks in forecasting tourists’ flow, an intelligent technique to help the economic development of tourism in Albania.
    Autorzy:
    Gjylapi, Dezdemona
    Durmishi, Veronika
    Powiązania:
    https://bibliotekanauki.pl/articles/1036374.pdf
    Data publikacji:
    2014
    Wydawca:
    Academicus. International Scientific Journal publishing house
    Tematy:
    tourist inflow
    tourism economy
    neural networks
    neuro-genetic
    bpnn
    Opis:
    Tourism plays an important role in many economies and contributes greatly to the Gross Domestic Product. In the past eight years, the number of tourist arrivals in Albania has increased rapidly, which resulted in increasing the number of tourist nights and revenue from tourism. Tourism also provides new sources of income for the country, without having that local citizen to pay more taxes. This can be achieved by income from parking, tourist taxes, leased apartments, sales information, etc. Early prediction on the tourist inflow mainly focuses on econometric models that have as a main feature the tourism demand being predicted by analysing factors that affect the tourists’ inflow. This approach results in being difficult, time-consuming and also expensive to determine econometric models. Traditional time series methods, such as exponential smoothing method, grey prediction method, linear regression method, ARIMA method etc., are more appropriate for the prediction of the tourist inflow. However, since they don’t apply a learning process on sample data, it is difficult for them to realize complicated and non-linear prediction on tourist inflow. The aim of this paper is to present the neural network usage in the tourists’ number forecasting and to determine the trends of the future tourist inflow, thus helping tourism management agencies in making scientific based financial decisions.
    Źródło:
    Academicus International Scientific Journal; 2014, 10; 202-211
    2079-3715
    2309-1088
    Pojawia się w:
    Academicus International Scientific Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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