W. Pratiwi, R. Primadasa, Vikha Indira Asri, Wisnu Budi Waluyo
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After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. The conclusion of this study is that there are 12 inhibiting factors in the innovation process which are arranged into six levels of the ISM model and in the MICMAC analysis the third cluster is the highest distribution cluster.","PeriodicalId":32235,"journal":{"name":"Spektrum Industri Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Barrier Factors Model of Innovation Process in the Furniture Industry Supply Chain (Case Study at PT. Duwa Atmimuda)\",\"authors\":\"W. Pratiwi, R. Primadasa, Vikha Indira Asri, Wisnu Budi Waluyo\",\"doi\":\"10.12928/si.v21i1.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PT. Duwa Atmimuda is a company engaged in manufacturing in producing stainless metal products and furniture frames. PT. Duwa Atmimuda is experiencing problems with the lack of application of technology in terms of marketing, seen from the absence of social media utilization, causing the company to find it difficult to expand market share. This study aims to identify the factors that hinder the company's innovation process using the Interpretive Structural Modeling (ISM) method and classify the model using MICMAC Analysis. The results showed that the ISM model of the barrier factor for the innovation process in the furniture industry supply chain has 6 levels. After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. 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引用次数: 1
摘要
PT. Duwa Atmimuda是一家专业生产不锈钢制品和家具框架的公司。Duwa Atmimuda公司在营销方面遇到了技术应用不足的问题,从没有使用社交媒体来看,导致公司很难扩大市场份额。本研究旨在利用解释结构建模(ISM)方法识别阻碍企业创新过程的因素,并利用MICMAC分析法对模型进行分类。结果表明,家具行业供应链创新过程障碍因素的ISM模型有6个层次。在获得ISM模型后,下一步是借助MICMAC分析对创新过程障碍因素上的各个变量指标进行分类。有4个分类簇,第一簇(自主指标)有一个指标。而在第二组(依赖指标)中只有一个指标。在第三类(联动指标)中有9个指标。在第四组(独立指标)中有一个指标。第三类(联动指标)是指标分布最高的一类,该指标具有高度的控制性和依赖性。研究结果表明,企业创新过程中存在12个抑制因素,在ISM模型中被划分为6个层次,在MICMAC分析中,第三集群是分布最高的集群。
Barrier Factors Model of Innovation Process in the Furniture Industry Supply Chain (Case Study at PT. Duwa Atmimuda)
PT. Duwa Atmimuda is a company engaged in manufacturing in producing stainless metal products and furniture frames. PT. Duwa Atmimuda is experiencing problems with the lack of application of technology in terms of marketing, seen from the absence of social media utilization, causing the company to find it difficult to expand market share. This study aims to identify the factors that hinder the company's innovation process using the Interpretive Structural Modeling (ISM) method and classify the model using MICMAC Analysis. The results showed that the ISM model of the barrier factor for the innovation process in the furniture industry supply chain has 6 levels. After the ISM model is obtained, the next process is to classify each variable indicator on the barrier factors of the innovation process with the help of MICMAC analysis. There are 4 classification clusters, the first cluster (autonomous indicators) has one indicator. While in the second cluster (dependent indicators) there is one indicator. In the third cluster (linkage indicators) there are 9 indicators. In the fourth cluster (independent indicators) there is one indicator. The third cluster (linkage indicators) is the highest cluster of indicator spreads where this indicator has high control and dependence. The conclusion of this study is that there are 12 inhibiting factors in the innovation process which are arranged into six levels of the ISM model and in the MICMAC analysis the third cluster is the highest distribution cluster.