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Cristina Ganescu and Andreea Gangone

Abstract

While scholarly literature abounds with research on organizational culture and CSR, this study adds knowledge to the field, redefining a new concept: that of socially responsible organizational culture. In our opinion, socially responsible organizational culture encompasses all the values, beliefs, norms and strategies that facilitate, direct, operate and develop the relations between organization and stakeholders in order to harmonize these relationships and increase economic, social and environmental performance. This paper creates a conceptual model of socially responsible organizational culture and presents a methodology for evaluating socially responsible organizational culture in the EU Member States. Results show significant variations between states, explained by differences in national culture, attitude and focus on CSR actions.

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Radu Lucian Blaga and Alexandru Blaga

Abstract

Buying decisions are determined by two key factors: endogenous factor that belongs to the buyer (which is present at least the attitudinal variable) and exogenous factors such demo-economic, sociological, psychological, marketing mix, linked all more or less by the product or the service offered for purchase and consumption. The study aims to use Rasch’s model to express the likelihood that a consumer will make the decision to purchase a higher educational service. Applied to item solving, Rasch probabilistic model, on which the research methodology study is largely supported, states that the probability of success in solving an item depends on two factors. The one belongs to that who solves the item - the human factor, called the latent trait, and the other belongs to the item, called the facility of the item The purchase decision approach using the Rasch model results validity is mainly based on the isometry of the two situations The results of the study describe behavioral probability situations where customers who make university education services purchasing decisions can themselves be found. We recommend the educational marketing strategies based on the analysis made on the applied model, which may increase the students’ enrolled number in a particular university.

Open access

Silvia Paula Todor, Rodica Ghiur, Petre Brezeanu, Florin Dumiter and Marius Boiță

Abstract

The fiscal policy is an instrument that collects resources for the state budget necessary to perform state functions; stabilize the economy; regulation of the economy and recovery growth. The most important instruments are taxes and taxpayers. Since 1989, with the transition to a market economy, a special tax policy has been known by excise taxes. Analyzing the case of Romania and the evolution of excise duties (hereinafter ED) conformity we created some regressions that illustrate the ED correlation in Romania between 2002 and 2015. The methodology used: three unifactorial regression models showing how ED impacts economic indicators such as GDP, power purchase expressed through the net annual average salary, and household final consumption expenditure. Moreover, each model has been tested and verified using statistic tests to give reliable results. In a first stage, we analyzed the correlation between GDP and consumption as endogen variable and ED, then we created another model that we kept ED as an independent variable, but we changed the dependent variable using the purchasing power as a dependent variable. Because according to the used tests we demonstrated that correlation coefficients are significant, we proceeded to explain them starting from fiscal policy and economic reality, own of these analyzed 14 years. In conclusion we highlighted below as the ED depends on GDP and consumption and the purchasing power can influence the ED. For future discussion and studies we intend to compare the results with other countries in different geographic areas in Europe

Open access

Radu Lucian Blaga and Alexandru Blaga

Abstract

The study aims at highlighting the link between educational marketing (product/service and price determination for educational services) and investment in education, using empirical models and customization of classic approaches (interpolation method) addressed to individual educational investment.

The methodology discussed in the paper, considers essential invariants of these educational investments, such as seniority - part of the work experience and period of studies. In the models presented, the level and the period of studies are quantified through transferable credits, expressing units of time, normal volume of working alleged student learning. It is also used a parameter which introduces an essential element of the quality of work - the psycho-physical characteristics of the fellow that are correlated with age.

Empirical study materializes on developing, while testing and validation of the models show that the rate of return to investment in education is a rationale for individuals to decide investing in their education. The study offers some customized recommendation to improve reverse marketing price policy of the educational services.

The study results lead us to the conclusion that education providers (colleges, universities, other training entities) and clients should take into account that education is an investment. The private return of investment in education - as argument of educational marketing (price policy) is increasingly important in the context of a fragmentary and dynamic market, led by strong competition.

Open access

Edmore Mahembe and Nicholas M. Odhiambo

Abstract

This paper aims to analyses the trends and dynamics of extreme poverty in developing countries. The study attempts to answer one critical question: has the world achieved its number one Millennium Development Goal (MDG) target of reducing extreme poverty by half by 2015? The methodology used in this study mainly involves a descriptive data analysis during the period 1981-2015. The study used the World Bank’s US$1.90 a day line (popularly known as $1 a day line) in 2011 prices to measure the level of absolute poverty. In order to analyze the dynamics of poverty across different regions, the study grouped countries into five regions: i) sub-Saharan Africa; ii) East Asia and the Pacific; iii) South Asia; iv) Europe and Central Asia; and v) Latin America and the Caribbean. The study found that in 1990, there were around 1.9 billion people living below US$1.90 a day (constituting 36.9 percent of the world population) and this number is estimated to have reduced to around 700 million people in 2015, with an estimated global poverty rate of 9.6 percent. The world met the MDG target in 2010, which is five years ahead of schedule. However, extreme poverty is becoming increasingly concentrated in sub-Saharan Africa (SSA) and South Asia (SA), where its depth and breadth remain a challenge. SSA remains the poorest region, with more than 35 percent of its citizens living on less than US$1.90 a day. Half of the world’s extremely poor people now live in SSA, and it is the only region which has not met its MDG target.

Open access

Lavinia Muresan

Marketing Association, Chicago 6. Johansson, J.K., Douglas, S.P., Ikujiro Non-aka (1985), "Assessing the Impact of County of Origin on Product Evaluations: A New Methodological Per-spective," Journal ofMarketing Research, 22 (Novem- ber), 388-396. 7. Moerman, D., (2001) Explanatory Mechanisms For Placebo Effects: Cultural Influences and The Meaning Response, The Science of the Placebo: Toward an Interdisciplinary Research Agenda, London: BMJ Publishing 77-107 8. Schooler, R.D. (1965), "Product bias in the Central American

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Dorel Mateș, Adriana Marina Puşcaş and Daniela Pordea

reglementărilor contabile privind situațiile financiare anuale individuale și situațiile financiare anuale consolidate aprobate prin OMFP mr. 1802/2014, CECCAR, București, p. 406, 407, 408, 1191. 8. Government Decision no. 1/2016 for the approval of the Methodological Norms for the application of Law no. 227/2015 regarding the Fiscal Code, published in Official Monitor no. 22 from 13rd of January 2016, with further updates 9. Government Decision no. 273/1994 for the approval of the Regulation for reception of construction works and installations

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Istvan Labas, Eva Darabos and Tunde Orsolya Nagy

, W. W.. and Seiford. L.M., “Basic DE4 ModeLr”, in Data Envelopment Analysis: Theory, Methodology and Application, Charnes et al. Editors, Kluwer Academic Publishers, 1994. 6. Chikan A. (2005): Vallalatgazdasagtan, Aula Kiado, Budapest 7. Fenyves, V. and Tarnoczi, T. (2014) ”Teljesítmenyertekeles a DEA felhasznalasaval”, Controller Info , Vol. 2, No. 1, pp.54. 8. Krenner D. – Horneffer B. (2014): Erhebung zu Karriervwerlaufen und internationaler Mobilitat von Hochqualifizierten. Witschaft und Statistik . 52-61 oldal. In: Statisztikai Szemle, 92

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Magnolia Tilca and Meda Bojor

Statistics. (2011). Unemployment BIM methodology on a monthly basis. Retrieved from www.insse.ro: www.insse.ro/.../Metodologia_rata%20somaj%20BIM%20lunar_rev.doc. Accessed 6 April 2016. 12. Paradis, E. (2013). R for beginners. Retrieved from https://cran.rproject.org/doc/contrib/Paradis-rdebuts_en.pd. Accessed 6 Aplir 2016. 13. Cambridge Series in Statistical and Probabilistic Mathematics, volume 12, Cambridge University Press. 14. Ruppert, D., Wand, M., Carroll, R. (2003). Semiparametric regression. New York: Cambridge