技术适应、市场导向和网络化对中爪哇罗威延蜡染UMKM竞争优势和经营绩效的影响分析

Rahardian Andre, S. T. Raharjo
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引用次数: 0

摘要

将在本研究中分析的现象是,目前的发展提出了迫切需要更有效和高效的性能,可以提高生产力,增加利润和降低成本。在lawweyan, Solo, Central爪哇的蜡染中小企业,目前大多使用手工和半手工的方法,需要发展自己,以便能够与来自马来西亚,中国和越南等国外的蜡染入侵者竞争。本研究的目的是分析技术适应、市场导向和网络化对中爪哇省罗威延县蜡染中小企业竞争优势和经营绩效的影响。本研究选择的人群均为乌汶叻地区的蜡染人,多达156名乌汶叻蜡染人。本研究中使用的调查对象数量为156个lawweyan蜡染UMKM。本研究采用的抽样技术是人口普查法。数据收集方法采用问卷调查法。数据分析采用结构方程建模方法。研究表明,市场导向对竞争优势有积极影响,现代技术和网络化的适应对竞争优势没有影响。现代技术的适应性、市场导向、网络化和竞争优势对企业绩效有正向影响。在检验拟合模型方面,说明该模型具有良好的拟合性。由此可以得出结论,该模型具有足够好的拟合性,可以预测企业绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of The Effect of Technology Adaptation, Market Orientation, and Networking on Competitive Advantages and Business Performance of Batik UMKM in Laweyan, Solo, Central Java
The phenomenon that will be analyzed in this research is that the current development raises the urgency that there is a need for more effective and efficient performance that can increase productivity, increase profits and reduce costs. Batik MSMEs in Laweyan, Solo, Central Java, which currently mostly use manual and semi-manual methods, need to develop themselves in order to be able to compete with batik invaders from abroad such as Malaysia, China and Vietnam. The purpose of this study was to analyze the effect of technology adaptation, market orientation and networking on the competitive advantage and business performance of batik MSMEs in Laweyan, Solo, Central Java. The population chosen in this study were all of the Batik Laweyan UMKM as many as 156 UMKM Batik. The number of respondents used in this study was 156 Laweyan Batik UMKM. The sampling technique in this research is the census method. The data collection method is by using a questionnaire. The data analysis method used is Structural Equation Modeling. Based on research, market orientation has a positive effect on competitive advantage, adaptation of modern technology and networking has no effect on competitive advantage. Adaptation of modern technology, market orientation, networking and competitive advantage have a positive effect on business performance. In terms of testing the fit model, it states that the model has a good fit. So from this it can be concluded that the model has a good enough fit to predict business performance.
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