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Reverse logistics in Malaysia: Investigating the effect of green product design and resource commitment

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  • Khor, Kuan Siew
  • Udin, Zulkifli Mohamed

Abstract

Reverse logistics and green product design are green supply chain management practices that are being implemented to demonstrate firm's commitment to environmental sustainability. The generation of waste from electrical and electronic equipments prompts the viability of product recovery to salvage invested material and energy. Selection of various reverse logistics product disposition options relies on products’ residual value and the accessibility of reusable content for re-entry in forward supply chain. This study explores the effect of green product design and resource commitment on reverse logistics product disposition by employing empirical analysis on 89 returned mail survey received from ISO14001 certified electrical and electronic manufacturing firms in Malaysia. The results indicated that design for disassembly is necessary to harvest valuable inventories from every product disposition options except of disposal whereas design for environment and commitment of resources have slight influence on repair and disposal activities. As the evidences show that green product design and reverse logistics product disposition are interrelated, firms ought to undertake environmentally proactive approaches to generate benefits from resources that are undeservingly discarded as landfill waste.

Suggested Citation

  • Khor, Kuan Siew & Udin, Zulkifli Mohamed, 2013. "Reverse logistics in Malaysia: Investigating the effect of green product design and resource commitment," Resources, Conservation & Recycling, Elsevier, vol. 81(C), pages 71-80.
    • Handle: RePEc:eee:recore:v:81:y:2013:i:c:p:71-80
    DOI: 10.1016/j.resconrec.2013.08.005
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    References listed on IDEAS

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    3. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Green decision-making model in reverse logistics using FUZZY-VIKOR method," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 125-138.
    4. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    5. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Reprint of “Green decision-making model in reverse logistics using FUZZY-VIKOR method”," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 334-347.
    6. Dissanayake, Geetha & Sinha, Pammi, 2015. "An examination of the product development process for fashion remanufacturing," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 94-102.
    7. Wilson, Matthew & Goffnett, Sean, 2022. "Reverse logistics: Understanding end-of-life product management," Business Horizons, Elsevier, vol. 65(5), pages 643-655.
    8. Esa, Mohd Reza & Halog, Anthony & Rigamonti, Lucia, 2017. "Strategies for minimizing construction and demolition wastes in Malaysia," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 219-229.

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