British Education Index
Estimation of retail food prices: case of LithuaniaItem type:Publication, research article[2021][S1b][S004][15]; ;Volkov, ArtiomInternational journal of learning and change. Geneve : Inderscience Enterprises, 2021, vol. 13, iss. 2., p. 218-232The goal of the current study is to highlight the factors that could affect retail food prices and develop an econometrical model for estimating the level of the impact of the identified factors. The research covers the period from 2016 to 2018. Multiple regression modelling is used for model creation. The outcomes mad available evidence that the factors most affecting the prices are the monthly average price of food product and yield of the agricultural subsector providing main stock for the food product. The current research contributes to the scientific literature by showing that retail food prices could be estimated for the short-term period. The limitation of the research is that the developed econometric models are adequate for the Lithuanian market and ought to be modified if applied in other markets.
17Scopus© Citations 1 Internet banking adoption: case of Lithuania and LatviaItem type:Publication, research article[2017][S1b][S004,S003][13] ;Elina, Gaile-Sarkane; ; Iljins, JurisInternational journal of learning and change. Olney : Inderscience Publishers, 2017, vol. 9, no. 1., p. 46-58The banking sector has developed and extended usage of different services at a distance using the internet in the last decade. Internet-based banking services dominate over other historically provided alternatives. This paper explores the adoption of internet banking in Lithuania and Latvia. Internet banking success model was developed based on four main factors ease of use, perceived risk, trust, and perceived usefulness. A survey of Lithuanian and Latvian respondents was carried out. Correlation and regression analysis was used to determine which factors influence intention to use internet banking. The results showed that the most important in both countries is perceived risk, which has a positive direct impact. Moreover, two additional factors were distinguished and analysed in the study, they are website design and customers satisfaction with e-banking services. Limitation of the study is the respondents they were individuals, thus the results do not reflect companies intention to use e-banking system.
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