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Proceedings of the 7th International Seminar on Business, Economics, Social Science, and Technology, ISBEST 2024, 19 September 2024, South Tangerang, Indonesia

Research Article

Decision Support System Effects on Green Supply Chain Management: A Pathway Towards a more Sustainable Future

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  • @INPROCEEDINGS{10.4108/eai.19-9-2024.2354172,
        author={Deodata  Leela and Tri  Gunarsih and Nur  Wening and Elisa  Kusrini and Syukri M.  Nur},
        title={Decision Support System Effects on Green Supply Chain Management: A Pathway Towards a more Sustainable Future},
        proceedings={Proceedings of the 7th International Seminar on Business, Economics, Social Science, and Technology, ISBEST 2024, 19 September 2024, South Tangerang, Indonesia},
        publisher={EAI},
        proceedings_a={ISBEST},
        year={2025},
        month={1},
        keywords={green supply chain decision support system sustainable future},
        doi={10.4108/eai.19-9-2024.2354172}
    }
    
  • Deodata Leela
    Tri Gunarsih
    Nur Wening
    Elisa Kusrini
    Syukri M. Nur
    Year: 2025
    Decision Support System Effects on Green Supply Chain Management: A Pathway Towards a more Sustainable Future
    ISBEST
    EAI
    DOI: 10.4108/eai.19-9-2024.2354172
Deodata Leela1,*, Tri Gunarsih1, Nur Wening1, Elisa Kusrini2, Syukri M. Nur3
  • 1: University of Technology Yogyakarta
  • 2: Indonesia Islamic University
  • 3: Darma Persada University
*Contact email: deodata.leela@gmail.com

Abstract

This study examines the impact of various factors on Decision Support Systems (DSS) and Green Supply Chain Management (GSCM) and their implications for sustainability. The analysis reveals that Circularity Design (CD), Sustainability Assesment (SA), Energy Optimization (EO), Green Innovation (GI), and Green Marketing (GM) significantly enhance the effectiveness of DSS and GSCM, underscoring their importance in fostering sustainable business practices. Conversely, Green Human Resources (GHR), Transportation Optimization (TO), Social Responsibility (SR), and Environmental Impact (EI) show non-significant effects, suggesting these areas may require further integration and strategic focus. This research is quantitative, involving a sample of 102 supply chain professionals from various business sectors. Structural equation modeling based on the SMART PLS approach was used to evaluate the hypothesis. The findings indicate that while certain elements are critical to driving sustainability, others need to be re-evaluated to better contribute to long-term environmental and operational goals. Future implications include the need for organizations to enhance collaborative and sustainability-focused decision-making processes, invest in green innovation and marketing, and strategically refine approaches to human resources, transportation, and social responsibility to achieve a more sustainable future.

Keywords
green supply chain decision support system sustainable future
Published
2025-01-15
Publisher
EAI
http://dx.doi.org/10.4108/eai.19-9-2024.2354172
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