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

Ahmad Reza Ommani

International Journal of Agricultural Management and Development (IJAMAD), 2015, vol. 05, issue 01

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.

Keywords: Livestock Production/Industries; Research and Development/Tech Change/Emerging Technologies (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ijamad:262491

DOI: 10.22004/ag.econ.262491

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