Green Enterprise Architecture (GREAN)—Leveraging EA for Environmentally Sustainable Digital Transformation

Vandevenne, Niels; Van Riel, Jonas; Poels, Geert

doi:10.3390/su151914342

Cited by 6 publications

(2 citation statements)

References 66 publications

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“…The Product Environmental Footprint (PEF) method that was launched by the European Commission can provide the beneficial reference to improve this point [65]. Furthermore, the intelligent and systematic level of the current scheme should be enhanced by introducing deep learning, big data analytics, and more open architectures that cover different enterprise layers (strategy, business, data, application, and technology) [66]. In particular, mass personalization may introduce complexity into the supply chain, as manufacturers need to manage a wider variety of components, configurations, and production processes to accommodate individualized products.…”

Section: Discussionmentioning

confidence: 99%

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

Jin,

Chen,

2024

Processes

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In the wake of Industry 4.0, the ubiquitous internet of things provides big data to potentially quantify the environmental footprint of green products. Further, as the concept of Industry 5.0 emphasizes, the increasing mass customization production makes the product configurations full of individuation and diversification. Driven by these fundamental changes, the design for sustainability of a high-mix low-volume product–service system faces the increasingly deep coupling of technology-driven product solutions and value-driven human-centric goals. The multi-criteria decision making of sustainability issues is prone to fall into the complex, contradictory, fragmented, and opaque flood of information. To this end, this work presents a data-driven quantitative method for the sustainability assessment of product–service systems by integrating analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods to measure the sustainability of customized products and promote the Industry 5.0-enabled sustainable product–service system practice. This method translates the sustainability assessment into a multi-criteria decision-making problem, to find the solution that meets the most important criteria while minimizing trade-offs between conflicting criteria, such as individual preferences or needs and the life cycle sustainability of bespoke products. In the future, the presented method can extend to cover more concerns of Industry 5.0, such as digital-twin-driven recyclability and disassembly of customized products, and the overall sustainability and resilience of the supply chain.

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Section: Discussionmentioning

confidence: 99%

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

Jin,

Chen,

2024

Processes

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“…Vandevenne, Van Riel and Poels (2023) claim Digital Transformations (DT) play an increasingly important role in academia and business, yet their significant Environmental Footprint (EF) is often overlooked, sidelining their potential for Environmental Sustainability (ES). This paper bridges this gap by integrating ES into the discourse of DT, proposing Green Enterprise Architecture (GREAN) as a method for sustainable transformation [21]. Alves, De Campos and Souza (2016) claim Enterprise Architectures supports the analysis, simulation, automated systems projects, distribution of responsibilities and authorities, aimed at reengineering or improvement of companies processes [22].…”

Section: Literature Review On Esgi Enterprise Organization Architecturementioning

confidence: 99%

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

Yan,

Chi

2024

Preprint

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With the trend of public infrastructure becoming more sustainable, large multi-purpose sports venues (LMPSVs) have become one of the world's most complex architectural projects and one of the landmark buildings of an international city. LMPSVs will lead the world in sustainable design, construction and operational innovations, and play a crucial role in raising awareness of sustainability around the world. System Thinking (ST), System Dynamics (SD) and Sustainable System Development (SSD) theories are three interrelated concepts that together form a methodological framework for solving complex system problems and driving strategies. The purpose of this study is to examine how LMPSVs can implement environmental, social, governance, and innovation (ESGI) enterprise transformation strategy (ETS) based on a sustainable systems development (SSD) framework. In view of the current global environmental challenges and social responsibility requirements, the motivation of this study is to provide an integrated transformation pathway for LMPSVs to achieve the goal of sustainable development and to contribute to the field of related disciplines. The methodology of this research adopts a combination of literature review and case study analysis, and the theoretical basis is mainly drawn from cutting-edge research in the fields of sustainable development, corporate social responsibility (CSR) and environmental management. Then, by analyzing successful transformation cases in China, we extract data and information to explore the application and effectiveness of these strategies in practice. The results of the study show that by implementing ESGI-based transformation strategy, LMPSVs can not only make significant progress in terms of environmental protection, social responsibility, and governance structure, but also drive long-term corporate growth and competitiveness through innovation. Specifically, these results are realized in terms of increased efficiency in energy use, improved waste management, community involvement and increased stakeholder satisfaction. The study concludes by emphasizing that the SSD-based ESGI Transformation Strategic framework provides a sustainable pathway for LMPSVs. In the future, the extension of this transformation strategy will help a wider range of industry sectors to achieve sustainable development goals, and has wide application potential and far-reaching social significance.

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SSA: Smart Sugarcane Agriculture Utilizing the Zachman Framework for Advanced Enterprise Architecture

Pramono,

Chang,

Wardhana

et al. 2024

SHS Web Conf.

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Enterprise Architecture (EA) is now indispensable for organizations to manage their business operations, data, infrastructure, and ICT systems. Sugarcane agriculture, using EA, is crucial for augmenting production efficiency for both sugarcane cultivators and researchers. Nevertheless, the sector faces considerable challenges in adopting EA, such as incomplete implementation, insufficient knowledge of technological advancements, suboptimal usability of architectural frameworks, lack of proper documentation, and slow service delivery. Additionally, there is no clear standardization for operating procedures. Some research has tried to tackle these challenges but often fails to systematically outline the steps and requirements for designing an enterprise architecture for SSA. This study aims to utilize EA for the Smart Sugarcane-Agriculture system, emphasizing the unique characteristics of agricultural fields. This research has developed a comprehensive EA model by employing the Zachman Framework (ZF) as an Enterprise Architecture Planning (EAP) methodology. The outputs include mapping the EA model, a list and classification of critical success factors, an EA service and information, a solution concept diagram, and an EA business process modelling to develop SSA. This research helps identify and select the appropriate EA framework for Smart Sugarcane Agriculture, assisting local governments and stakeholders in prioritizing critical factors in developing SSA EA.

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Green Enterprise Architecture (GREAN)—Leveraging EA for Environmentally Sustainable Digital Transformation

Cited by 6 publications

References 66 publications

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

Proposal of Industry 5.0-Enabled Sustainability of Product–Service Systems and Its Quantitative Multi-Criteria Decision-Making Method

Sustainable System Development and Strategic Framework for ESGI Enterprise Transformation in Large Multi-purposes Sports Venues

SSA: Smart Sugarcane Agriculture Utilizing the Zachman Framework for Advanced Enterprise Architecture

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