Determinants of Performance and Structural Relationships of Rice Processing Industry Performance: Resources Based View Approach

T. S. Bahri, D. Hakim, B. Juanda, S. Sahara
{"title":"Determinants of Performance and Structural Relationships of Rice Processing Industry Performance: Resources Based View Approach","authors":"T. S. Bahri, D. Hakim, B. Juanda, S. Sahara","doi":"10.12776/qip.v25i3.1587","DOIUrl":null,"url":null,"abstract":"Purpose: Attention to the capacity of rice milling companies is very important because this company is the main business actor that creates added value. This study aims: (1) to identify the determinants of the performance of the rice milling industry based on the Resources Based View (RBV) framework and (2) to formulate the structural relationship that occurs between the resources of rice milling companies on business performance.   \nMethodology/Approach: RBV framework and formulate the structural relationships that occur between company resources and business performance Through the SEM-PLS method.\nFindings: Structurally, the results of the analysis show that the performance of rice mills is directly determined by reputation with the largest path coefficient of 0.856 and is then followed by marketing differentiation 0.184 and human capital 0.1822, while tangible assets directly have a negative relationship (-0.236) but indirectly through the latent variable the reputation as a mediator has a greater (0.558) and significant positive relationship.\nResearch Limitation/Implication: The research has empirical implications that not all RBV dimensions can predict the performance of the rice industry, especially organizational variables. This illustrates that in reality in the manufacturing industry, organizational function variables do not really affect the produced.\nOriginality/Value of paper: This article becomes an important for policymakers in Aceh Province to develop the rice milling industry based on the RBV.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"14 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12776/qip.v25i3.1587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Attention to the capacity of rice milling companies is very important because this company is the main business actor that creates added value. This study aims: (1) to identify the determinants of the performance of the rice milling industry based on the Resources Based View (RBV) framework and (2) to formulate the structural relationship that occurs between the resources of rice milling companies on business performance.    Methodology/Approach: RBV framework and formulate the structural relationships that occur between company resources and business performance Through the SEM-PLS method. Findings: Structurally, the results of the analysis show that the performance of rice mills is directly determined by reputation with the largest path coefficient of 0.856 and is then followed by marketing differentiation 0.184 and human capital 0.1822, while tangible assets directly have a negative relationship (-0.236) but indirectly through the latent variable the reputation as a mediator has a greater (0.558) and significant positive relationship. Research Limitation/Implication: The research has empirical implications that not all RBV dimensions can predict the performance of the rice industry, especially organizational variables. This illustrates that in reality in the manufacturing industry, organizational function variables do not really affect the produced. Originality/Value of paper: This article becomes an important for policymakers in Aceh Province to develop the rice milling industry based on the RBV.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
稻米加工业绩效的决定因素与结构关系:基于资源的视角
目的:关注碾米公司的产能是非常重要的,因为该公司是创造附加值的主要业务参与者。本研究的目的是:(1)基于资源基础观点(RBV)框架,识别制米产业绩效的决定因素;(2)构建制米企业资源对经营绩效的结构性关系。方法论/方法:RBV框架,并通过SEM-PLS方法制定公司资源与业务绩效之间的结构关系。从结构上看,分析结果表明,碾米厂的绩效直接受声誉影响,路径系数最大,为0.856,其次是营销差异化,路径系数为0.184,人力资本为0.1822,有形资产与碾米厂绩效直接负相关(-0.236),但通过潜在变量间接影响,声誉作为中介具有更大的显著正相关(0.558)。研究局限/启示:本研究具有实证意义,并非所有的RBV维度都能预测稻米产业的绩效,尤其是组织变量。这说明在现实的制造业中,组织功能变量并不会真正影响产品。论文的独创性/价值:本文对亚齐省决策者基于RBV发展碾米业具有重要意义。
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 去求助
来源期刊
CiteScore
3.10
自引率
13.30%
发文量
16
审稿时长
6 weeks
期刊最新文献
Benchmarking of the e-Learning Quality Assurance in Vocational Education and Training: Project Results Mapping the Accidents and Unsafe Conditions of Workers in the Automotive Sector Developing a Systematic and Practical Road Map for Implementing Quality 4.0 Quality 4.0 in Digital Manufacturing – Example of Good Practice Comparative Analysis of Innovation Districts to Set Up Performance Goals for Tec Innovation District
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1