Analyze of Predictive Model of Innovation Management in Processing and Complementary Industries of Livestock Products

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.


Issue Date:
Mar 15 2015
Publication Type:
Journal Article
ISSN:
2159-5860
Language:
English
Published in:
International Journal of Agricultural Management and Development (IJAMAD), Volume 05, Number 1
Page range:
27-32




 Record created 2017-08-28, last modified 2017-08-29

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)