Regression Analysis of Innovation Management in Processing and Complementary Industries of Livestock Products

Abstract

The purpose of research was analysis of innovation management in processing and complementary industries of livestock products. The method of research was correlative descriptive. The statistical population of this study was all managers in processing and complementary industries of livestock products of Khouzestan Province (N=486). The sampling method was stratified random sampling. The sample size was a (n=125). A questionnaire was developed to gather information regarding innovation management in processing and complementary industries of livestock products. Data collected were analyzed using the Statistical Package for the Social Sciences (SPSS). According to the results, the correlation between innovation management with participation in special course, accountability, risk taking, tend to be creative, competitiveness, attitude to innovation management and obtained credit was significant. Based on regression analysis participation in special course, accountability, risk taking, tend to be creative, competitiveness and attitude to innovation management may well explain for 42.9% changes (R 2 =0.429) in level of innovation management. According to path analysis, competitiveness and attitude to innovation management were the most important variables influencing the innovation management.