sponsorship and institutional factors, are expected to influence both set of endogenous variables (research inputs and outputs …

spurious regression problem when the dependent and independent variables in a time series regression are ratios composed of … common component variables. The paper’s results therefore imply that extreme care should be taken when using ratios as … predictor or explanatory variables in time series regression. The paper introduces a reformulated Lintner first difference …

environment, etc., are among variables explaining the training needs of various kinds in a company. The results would also provide … opportunities. Lastly, the direction for further studies is proposed, including the impact of macro variables, featured for … developed and developing countries, and of variables that interfere with the process of transferring from real needs to …

In the marketing research the instances when we need to examine the relationship between two variables are frequent …. Knowing the relationship between the two variables involves the use of tests that can be parametric and nonparametric. This … variables using the C contingency coefficient and Cramer's V coefficient and between two metric variables, using the Pearson …

variables. This paper presents a behavioral perspective on OC and contributes to its emerging dynamic aspect. A behavioral model …

organization goal. In order to achieve this purpose, five main variables are identified: organization goal, sub-goals, actions …, data input and data output. In additional, the paper focused on the possible relationship between variables and attributes …