The purpose of this study is to analyze the relationship between supplier performance and supply chain performance, transformational supply chain leadership and supply chain performance, and between supplier performance and transformational supply chain leadership. The study uses a company analysis unit represented by one of the managers in the chain management section. The study also uses quantitative methods and data processing tools using SmartPLS 3.3.3. The population in this study is a manufacturing company in Tangerang. Two hundred and fifty online questionnaires were distributed to each company and 220 eligible respondents were tested. Based on the results of data analysis, it is found that there is a positive and significant relationship between supplier performance and supply chain performance, a positive and significant relationship exists between transformational supply chain leadership and supply chain performance and there is a positive and significant relationship between supplier performance and transformational supply chain leadership.

The features of a holistic view in an organization create the data value of the Business Intelligence (BI) and Knowledge Management (KM) in viewing the big picture of organizational performance diagnostics framework. This research focuses on the specific features of railway supply chain performance in viewing the decision-making process and creating better knowledge formation. The intention of the study is to structure supplier performance using BI-KM framework development to determine holistic perspective factors. The outcomes indicate that BI and KM significantly increased the railway supply chain and significantly increased the information system. This BI-KM framework relates the current analytic characteristics in designing the railway supply chain towards information system in determining the strategic theme of the decision-making process of the decision support system together with system features, characteristics of data, the content of the themes, and the effect of the decision-making process and for executive strategic performance diagnostics tool that provides effective strategic decision making in supply chain performance. The quantitative research method uses SmartPLS software version 3.2.8 for empirical analysis through distributing survey questionnaires to 320 railway suppliers in Malaysia. Using a model-driven development framework, to measure the implementation success of the decision support system, the study is conducted in the railway supplier focusing on strategic management that helps to make the decision and facilitate the organizational success.