Digital Transformation of Agricultural Extension in Indonesia: A Comprehensive Analysis

Q2 Economics, Econometrics and Finance

Agris On-line Papers in Economics and Informatics Pub Date : 2023-12-30 DOI:10.7160/aol.2023.150410

{"title":"Digital Transformation of Agricultural Extension in Indonesia: A Comprehensive Analysis","authors":"","doi":"10.7160/aol.2023.150410","DOIUrl":null,"url":null,"abstract":"Digital transformation in the field of agricultural extension is quite essential for agriculture in the future. The problem is that not all extension workers understand the use of cyber extension. The research objective is to explore the relationship between individual motivation (IM), social capital (SC), digital extension adoption (CEA), knowledge sharing (KS), and agricultural extension performance (EP) in Indonesia. The research method used was explanatory, with purposive location selection and a population focused on agricultural extension workers. Sampling was carried out using quota techniques. Data analysis in this study used Structural Equation Modeling with Partial Least Squares (SEM-PLS). More specifically, IM and SC act as construct variables, while CEA and KS not only act as construct variables but also as mediators. Agricultural Extension (EP) performance is measured as a latent variable. The research results reveal that all construct variables, namely IM, SC, CEA, and KS, positively and significantly influence the EP. These findings demonstrate the importance of these factors in supporting digital transformation in agricultural extension in Indonesia and can provide valuable guidance for decision-makers and practitioners in efforts to increase the effectiveness of agricultural extension using digital technology.","PeriodicalId":38587,"journal":{"name":"Agris On-line Papers in Economics and Informatics","volume":" 103","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agris On-line Papers in Economics and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7160/aol.2023.150410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}

引用次数: 0

Abstract

Digital transformation in the field of agricultural extension is quite essential for agriculture in the future. The problem is that not all extension workers understand the use of cyber extension. The research objective is to explore the relationship between individual motivation (IM), social capital (SC), digital extension adoption (CEA), knowledge sharing (KS), and agricultural extension performance (EP) in Indonesia. The research method used was explanatory, with purposive location selection and a population focused on agricultural extension workers. Sampling was carried out using quota techniques. Data analysis in this study used Structural Equation Modeling with Partial Least Squares (SEM-PLS). More specifically, IM and SC act as construct variables, while CEA and KS not only act as construct variables but also as mediators. Agricultural Extension (EP) performance is measured as a latent variable. The research results reveal that all construct variables, namely IM, SC, CEA, and KS, positively and significantly influence the EP. These findings demonstrate the importance of these factors in supporting digital transformation in agricultural extension in Indonesia and can provide valuable guidance for decision-makers and practitioners in efforts to increase the effectiveness of agricultural extension using digital technology.

查看原文本刊更多论文

印度尼西亚农业推广的数字化转型：综合分析

农业推广领域的数字化转型对未来的农业发展至关重要。问题是，并非所有推广人员都了解网络推广的使用。本研究旨在探讨印度尼西亚个人动机（IM）、社会资本（SC）、数字推广采用（CEA）、知识共享（KS）和农业推广绩效（EP）之间的关系。采用的研究方法是解释性的，有目的性地选择地点，研究对象主要是农业推广人员。采用配额技术进行抽样。本研究采用偏最小二乘法结构方程模型（SEM-PLS）进行数据分析。更具体地说，IM 和 SC 作为构造变量，而 CEA 和 KS 不仅作为构造变量，还作为中介变量。农业推广（EP）绩效作为潜变量进行测量。研究结果表明，所有建构变量，即 IM、SC、CEA 和 KS，都会对 EP 产生积极而显著的影响。这些研究结果表明了这些因素在支持印度尼西亚农业推广数字化转型中的重要性，并可为决策者和从业人员利用数字技术提高农业推广效率的努力提供有价值的指导。

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

Agris On-line Papers in Economics and Informatics Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： The international journal AGRIS on-line Papers in Economics and Informatics is a scholarly open access, blind peer-reviewed by two reviewers, interdisciplinary, and fully refereed scientific journal. The journal is published quarterly on March 30, June 30, September 30 and December 30 of the current year by the Faculty of Economics and Management, Czech University of Life Sciences Prague. AGRIS on-line Papers in Economics and Informatics covers all areas of agriculture and rural development: -agricultural economics -agribusiness -agricultural policy and finance -agricultural management -agriculture''s contribution to rural development -information and communication technologies -information and database systems -e-business and internet marketing -ICT in environment -GIS, spatial analysis and landscape planning The journal provides a leading forum for an interaction and research on the above-mentioned topics of interest. The journal serves as a valuable resource for academics, policy makers and managers seeking up-to-date research on all areas of the subject. The journal prefers scientific papers by international teams of authors who deal with problems concerning the focus of our journal in the world-wide scope with relation to Europe.