Diffusion and implementation of innovation in Binuang agricultural training farmer groups

Marhaeni Fajar Kurniawati Kurniawati, Agus Sumantri, Rustono Farady Marta, Engliana Engliana, Helmi Azahari
{"title":"Diffusion and implementation of innovation in Binuang agricultural training farmer groups","authors":"Marhaeni Fajar Kurniawati Kurniawati, Agus Sumantri, Rustono Farady Marta, Engliana Engliana, Helmi Azahari","doi":"10.25139/jsk.v7i2.6232","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":55792,"journal":{"name":"Jurnal Studi Komunikasi","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal Studi Komunikasi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25139/jsk.v7i2.6232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
推广和实施创新的碧光农业培训农民群体
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
6 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信