Developing railway supplier selection excellence using business intelligence knowledge management framework

A tétel rövid nézete
dc.contributor.authorJayakrishnan, Mailasan
dc.contributor.authorMohamad, Abdul Karim
dc.contributor.authorYusof, Mokhtar Mohd
dc.contributor.statusnemhu_HU
dc.date.accessioned2021-07-30T09:23:03Z
dc.date.available2021-07-30T09:23:03Z
dc.date.issued2021-12
dc.description.abstractIn a broad scope, the term Information System (IS) is a scientific field of research study that approaches the scope of managerial, strategic, and operational activities complex in the storing, processing, distributing, gathering, and utilizing of knowledge and its associated technologies in organizations and industry. The model of railway supplier selection using BI-KM framework is situated on a horizontal structure of the organization and its technology transformation to execute the organization goal, with technology as enabler and driver (technology adoption), organization as the principal environment (business process analysis), and Information Management (data modeling). This study is significant in supporting data scenarios by focusing on the heuristic view of an industry approach to problem-solving management issues. Furthermore, the research development was to identify integrated framework adoption that contributes to strategic performance diagnostics dashboard. By understanding the factors of theoretical framework adoption, these conceptual frameworks assure competitive advantage. Besides, this railway supplier selection excellence model analyzed the extent and provides a potential solution to strategic decision-making issues. The study directs to regulate the adoption of the theoretical framework towards conceptual framework by using the role of Business Intelligence (BI) to analyze the quality of data presented as the railway supplier selection criteria from operational management through data analytics. Moreover, this will be united to help the best cycles and instruments in essential execution by the executives of a railway supplier selection dashboard for simulating data as interactive supplier performance.hu_HU
dc.identifier.doi10.1556/1848.2021.00267hu_HU
dc.identifier.issn2062-0810
dc.identifier.issue3hu_HU
dc.identifier.jtitleInternational Review of Applied Sciences and Engineering
dc.identifier.urihttp://hdl.handle.net/2437/320881
dc.identifier.urlhttps://akjournals.com/view/journals/1848/12/3/article-p257.xmlhu_HU
dc.identifier.volume12hu_HU
dc.language.isoenhu_HU
dc.publisherAkadémiai Kiadóhu_HU
dc.subjectbusiness intelligencehu_HU
dc.subjectdecision support systemhu_HU
dc.subjectinformation systemhu_HU
dc.subjectknowledge managementhu_HU
dc.subjectrailway supplier selectionhu_HU
dc.titleDeveloping railway supplier selection excellence using business intelligence knowledge management frameworkhu_HU
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International Review of Applied Sciences and Engineering