Open AccessRailway supply chain excellence through the mediator role of business intelligence: Knowledge management approach towards information system
Author(s) -
Mailasan Jayakrishnan,
Abdul Karim Mohamad,
Mokhtar Mohd Yusof
Publication year - 2022
Publication title -
uncertain supply chain management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.395
H-Index - 16
eISSN - 2291-6830
pISSN - 2291-6822
DOI - 10.5267/j.uscm.2021.10.003
Subject(s) - knowledge management , supply chain , process management , supply chain management , business intelligence , computer science , process (computing) , empirical research , business , marketing , philosophy , epistemology , operating system
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.