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The Key Factors for Improving Returns Management in E-Commerce in Indonesia from Customers’ Perspectives—An Analytic Hierarchy Process Approach

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  • Dimas Haki Prayogo

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland)

  • Roman Domanski

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland)

  • Paulina Golinska-Dawson

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

The rapid growth of e-commerce has led to an increase in the number of product returns in supply chains, which is both environmentally and economically challenging. E-commerce companies need to effectively manage product returns, as this has a direct impact on their reputation and consumer experience. Reducing returns is key to maintaining sustainable practices for online product sales. A significant increase in e-commerce transactions is also evident in Indonesia, which is the fourth largest country in the world. Despite the very large size of the market, research on e-commerce in the business-to-customer (B2C) market in Indonesia is underrepresented in the literature. The purpose of this paper is to identify key factors from the customer perspective that influence product returns in reverse logistics in Indonesian e-commerce. The novelty of this study stems from the focus on the customer perspective on product returns in the B2C market when shopping online and the spatial scope. Due to the uncertainty inherent in multi-criteria decision making, the analytic hierarchy process (AHP) method was used to rank factors and potential solutions derived from a critical literature review. As a result, the study provides a ranking of factors and alternatives for managing e-commerce returns in Indonesia. The results show that among Indonesian e-commerce customers, product quality (QP) was rated the highest, while (Pu) was rated the lowest. In terms of the alternatives that are the most suitable for improving the customer experience of e-commerce product returns in Indonesia, a clear returns policy (CRP) scored the highest, while the merchandise catalog (Cat) was rated as the lowest priority.

Suggested Citation

  • Dimas Haki Prayogo & Roman Domanski & Paulina Golinska-Dawson, 2024. "The Key Factors for Improving Returns Management in E-Commerce in Indonesia from Customers’ Perspectives—An Analytic Hierarchy Process Approach," Sustainability, MDPI, vol. 16(17), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7303-:d:1463667
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    References listed on IDEAS

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    1. Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
    2. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Dai, Min, 2008. "A comparative study of the numerical scales and the prioritization methods in AHP," European Journal of Operational Research, Elsevier, vol. 186(1), pages 229-242, April.
    3. Minnema, Alec & Bijmolt, Tammo H.A. & Gensler, Sonja & Wiesel, Thorsten, 2016. "To Keep or Not to Keep: Effects of Online Customer Reviews on Product Returns," Journal of Retailing, Elsevier, vol. 92(3), pages 253-267.
    4. Muhammad Hamza Naseem & Jiaqi Yang & Tongxia Zhang & Waseem Alam, 2023. "Utilizing Fuzzy AHP in the Evaluation of Barriers to Blockchain Implementation in Reverse Logistics," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    5. Paulina Golinska-Dawson & Karolina Werner-Lewandowska & Karolina Kolinska & Adam Kolinski, 2023. "Impact of Market Drivers on the Digital Maturity of Logistics Processes in a Supply Chain," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    6. Paulina Golinska-Dawson & Kanchana Sethanan, 2023. "Sustainable Urban Freight for Energy-Efficient Smart Cities—Systematic Literature Review," Energies, MDPI, vol. 16(6), pages 1-28, March.
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