推广和实施创新的碧光农业培训农民群体

Marhaeni Fajar Kurniawati Kurniawati, Agus Sumantri, Rustono Farady Marta, Engliana Engliana, Helmi Azahari
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引用次数: 0

摘要

为了了解创新的扩散及其对实现组织目标的影响,本研究调查了基于公司的D-Corp部门模型的使用情况,这是一种在农民团体和协会中实施的创新方法,以建立binang农业培训部门。本研究采用定量调查的方法,进行回归分析,确定变量之间关系的显著性。研究发现,创新扩散变量对其他变量的影响显著,tcount值(1.660)在低于表得分(0.002 <)的显著水平上超过了表值(3.197);0.05)。因此,最初的假设(a)被接受,这意味着创新的扩散并不显著影响创新的应用。另一方面,创新变量的tcount值(5.003)比关键表值(1.660)更显著,影响得分低于表得分(0.000 <0.05)。因此,第二个假设被接受,这表明创新对本研究中创新的应用存在实质性的部分影响。此外,创新扩散和工作创新对研究数据有联合影响(0.000 <0.05, Fcount = 34.663 >Ftable = 3.07)。因此,Ha3被接受,表明创新扩散变量(X1)和工作创新变量(X2)两个自变量与创新应用(Y)变量同时存在相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffusion and implementation of innovation in Binuang agricultural training farmer groups
To understand the Diffusion of Innovation and its impact on achieving organisational goals, this research investigates the utilisation of the D-Corp Division Model Based on Corporation, an innovative approach implemented within farmer groups and associations to establish the Division of Agricultural Training in Binuang. Employing a quantitative survey method, the study conducts regression analysis to ascertain the significance of relationships between variables. The findings reveal that the Diffusion of innovation variable demonstrates a significant effect on other variables, as evidenced by the tcount value (1.660) exceeding the critical ttable value (3.197) at a level of significance below the table score (0.002 < 0.05). Consequently, the initial hypothesis (a) is accepted, implying that the Diffusion of Innovation does not significantly influence the application of Innovation. On the other hand, the Innovation Variable exhibits a tcount value (5.003) more significant than the critical ttable value (1.660) with an influence score below the table score (0.000 < 0.05). Thus, the second hypothesis is accepted, indicating a substantial partial influence of Innovation on the application of Innovation in this study. Moreover, the Diffusion of Innovation and work innovation have a combined impact on the research data (0.000 < 0.05, Fcount = 34.663 > Ftable = 3.07). Consequently, Ha3 is accepted, signifying a simultaneous correlation between two independent variables: the innovation diffusion variable (X1) and work innovation variable (X2) concerning the application of innovation (Y) variable.
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