Information and communication technologies (ICT) in general and information systems in particular help the decision-making process, increase market and price information, impact the effectiveness of using objective resources such as land, workforce, or capital with evident managerial and profitability effects. The use of information systems in agriculture nowadays represents an opportunity as well as a significant development effect in agriculture in our country and for the improvement of quality of life in rural areas. Our country represents one of the countries where the use of ICT has significantly increased in recent years, although the economic infrastructure and level of knowledge mastered by individuals and businesses (especially in agriculture and rural areas), has been inadequate. Despite the extensive information provided through the internet and social media in general, information networks and platforms, communication and interaction for the agricultural economy sector are still at an early stage of development in our country. Based on the level of information systems usage in rural areas and the structural problems that economic stakeholders and entities face in the Albanian terrain, the role of ICT in the economic activity in these areas remains weak and with invisible effects.
Public transport is considered important to reduce air pollution. For this reason, it is very important to have efficient public transport lines. The purpose is to analyze 15 public transport lines in Albania by using the DEA model. The analysis is based on information about citizens' perceptions of five attributes (frequency, cleanliness, possibility to find a seat, punctuality, and ticket price) of public transport lines. The information is provided by conducting a survey of 120 users of public transport lines. The results indicate that it's important to improve some attributes to increase the use of public transport.
One of the main problems in the Albanian financial market is the high rates of Non Profit Loans. As part of this problem, banks need to predict and calculate the level of reserve funds (provisions) to cover the possible losses from these loans. Currently these calculations are made based on the standard method which does not take in consideration many factors, including seasonality. The objective of this paper is to study if there is seasonality in the variance of NPL values for Albanian market. It is part of a study in relation to the possibility for the use of Value at Risk (VaR) models to predict future values of Non Profit Loans (NPL) in Albania. Using the official data from the Bank of Albania we first study the NPL time series by creating an initial predicting VaR model of future NPL values. Then the data are grouped under 3 months intervals and are studied to see if they have seasonality and if the existence of seasonality can improve the initial model.
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