4.6 Article

Design and Development of an Eco-Innovation Management Information System to Accelerate Firms' Digital Transformation Strategy

Journal

IEEE ACCESS
Volume 10, Issue -, Pages 37796-37810

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3163248

Keywords

Stakeholders; Environmental management; Electromagnetic interference; Costs; Technological innovation; Computer architecture; Management information systems; Big data analytics; digital engineering; eco-innovation; environmental management information system; environmental management system; software development

Funding

  1. Yayasan Universiti Teknologi PETRONAS Fundamental Research Grant (YUTP-FRG) [015LC0-368]

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This paper presents a prototype Eco-innovation Management Information System (EiMIS) that helps firms' management systematically manage and report on eco-innovation performance using various technologies and programming languages.
It is vital for firms to measure, and, report on, the impact of eco-innovation towards their environmental performance. Additive Manufacturing is an eco-innovation that contributes towards reducing the environmental impact of manufacturing. However, there is a lack of practical tools for management to monitor and report on firms' eco-innovation implementation and performance. This paper presents a prototype Eco-innovation Management Information System (EiMIS), developed to enable a firm's management to systematically manage and report on eco-innovation performance. Using a top-down approach, the EiMIS is developed through utilizing the C# and SQL programming languages for the Graphical User Interface (GUI), Database Management System (DBMS) and other technologies to collect, store (into a relational database) and manage eco-innovation performance data. A 4-tier architecture enables the EiMIS to: store, view and retrieve or generate eco-innovation performance reports; and generally, manage firms' eco-innovation performance data. This developed prototype could, help introduce information system platforms that: assist firms to collect data that can model their additive manufacturing; ease firms' eco-innovation performance reporting; improve environmental data management capabilities; and complement firms' digital transformation strategy.

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