No abstract

The purpose of the study was to examine the impact of creative climate dimensions on individual innovation behaviour. Data were collected from 249 randomly selected respondents for 2021 using a survey questionnaire. Statistical analyses were assessed using, a statistical package for social science (SPSS version 22); Descriptive analysis was done for categorical variables by using frequency and percentage, and Logistic regression analysis was done at the ordinal level to determine the relationship between creative climate and individual innovation behaviour. A descriptive study was organized. The results were drawn based on empirical data collected by university staff. From the results, it can be concluded that the six independent variables under study sufficiently influence individual innovation behaviour. The model is statistically significant, as indicated by the chi-square value (66.066) since the p-value is less than 0.000. As a result, we conclude that the dependent variable and independent factors have a very strong association. In addition, the model Parallel line test is 0.077, (The null hypothesis states that the location parameters (slope coefficients) are the same across response categories.) this test indicates that we have not violated the assumption. Keywords: creative climate dimensions, individual innovation behaviour, ordered logit model, Erbil Polytechnic University, Soran University.