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

International Journal of Agricultural Management and Development Pub Date : 2015-03-01 DOI:10.5455/IJAMD.178095

A. Ommani

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引用次数: 1

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.

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畜产品加工与互补产业创新管理预测模型分析

摘要本研究旨在设计畜产品加工业与互补产业创新管理的预测模型。研究方法为相关描述性。研究对象为胡齐斯坦省畜产品加工及配套产业的管理人员(N=486)。采用分层随机抽样的方法，随机抽取1例(n=125)参与研究。编制了一份调查问卷，收集有关畜产品加工和互补产业创新管理的数据。收集的数据使用社会科学统计软件包(SPSS)进行分析。结果表明，胡齐斯坦省加工与互补产业的创新管理水平不理想。因此，从业者应该被要求提供更高水平的创新管理。结果表明，收入、竞争力、责任、风险承担、创新倾向、文化程度和创新管理态度等变量对创新管理水平的提高起着关键作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Agricultural Management and Development

自引率

0.00%

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审稿时长

16 weeks