提高中小微企业出口意愿的战略设计与全球市场需求标准

T. Hanifa, E. Muslim
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引用次数: 0

摘要

摘要印尼出口的贡献相对较低,只有14.37%,而商业实体占主导地位,占99.99%。同时,大型企业对印尼的出口贡献率为85.63%。据预测,印尼将在2036年摆脱“中等收入陷阱”,这意味着印尼将成为GDP排名世界第四的高收入国家。这表明,中小微企业(MSMEs)在扩大国际贸易方面具有巨大潜力和机遇。阻碍中小微企业出口的诸多因素和较高的出口标准是中小微企业出口意愿低、选择以内销为主的关键因素。本研究采用主成分分析(PCA)和解释结构建模(ISM)方法,通过将PCA方法上的数据简化为感知障碍和使能因素,找出导致中小微企业经营者出口意识意愿低的主要因素。ISM方法通过分析影响因素之间的关系,帮助制定政策和战略规划。获得了13个主要阻碍因素和6个主要促进因素;根据这些数据,通过适当的战略规划设计行动计划,根据障碍因素和促成因素的优先级排序,这些因素是基于与专家讨论协议的结果,从ISM模型的分区级别知道的。关键词:出口;出口壁垒;出口推动者,中小微企业,印尼中小微企业,主成分分析(PCA);解释结构建模(ISM)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Design to Increase MSME Intentions in Exporting with Standards for Global Market Needs
Abstract. The contribution of Indonesia's exports, with the number of business entities dominating at 99.99%, is relatively low at 14.37%. Meanwhile, large business entities achieved an export contribution for Indonesia of 85.63%. Indonesia was predicted to emerge from the middle-income trap phenomenon in 2036, implying that Indonesia will become a high-income country with the fourth-largest GDP in the world. This demonstrates that Micro, Small, and Medium Enterprises (MSMEs) have enormous potential and opportunities to expand international trade. The many factors hindering MSMEs from exporting and high export standards were among the critical factors for the low intention of MSMEs in exporting and choosing to focus on domestic selling. This study used the Principal Component Analysis (PCA) and Interpretive Structural Modeling (ISM) methods to find out the main factors that cause low intentions on the awareness of MSME business actors in exporting by reducing data on the PCA method to perceived barrier and enabler factors. The ISM method helped produce policy formulation and strategic planning by analyzing the influence of the relationship between factors. 13 main barriers and six main enabler factors were obtained; from them, the action plan was designed through appropriate strategic planning, ordered by the priority of barrier factors and enablers, which are known from the partition level in the ISM model based on the results of discussion agreements with experts. Keywords: Export; export barriers; export enablers, msmes, Indonesian mses, principal component analysis (PCA); interpretive structural modeling (ISM)
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