Abstract
The purpose of this study was designing predictive model
for innovation management in processing and complementary
industries of livestock products. The method of research was
correlative descriptive. The population of this research was
managers in processing and complementary industries of
livestock products of Khouzestan Province (N=486). By stratified
random sampling, a random sample (n=125) was selected for
participation in the study. A questionnaire was developed to
gather data 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 innovation
management level in processing and complementary industries
of Khuzestan province is not desirable. Therefore, practitioners
should be required to provide increasing levels of innovation
management. Results showed that variables such as income,
competitiveness, accountability, risk taking, tend to be creative,
level of education and attitude to innovation management
played a critical role in improving innovation management.