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Actual consumers' response to purchase refurbished smartphones: Exploring perceived value from product reviews in online retailing

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  • Nasiri, Mohammad Sadegh
  • Shokouhyar, Sajjad

Abstract

Refurbishing is an industrial process whereby used products are returned to good working condition to extend lifespan. As smartphones are short life cycle products replaced at an increasing rate, refurbishing is one of the end-of-life strategies to recover value from used smartphones. Chief among the factors given for refurbishing success is consumers' perception of the aspects of the purchase toward these products. This research investigates the significant factors in consumer perceived value about purchasing refurbished smartphones. Online product reviews are recognized as a promising data source to evaluate consumers' post-purchase behaviour in the actual market. Accordingly, a customer satisfaction model of online refurbished smartphone reviews from e-commerce websites is presented to explore customer satisfaction dimensions (CSDs) toward refurbished smartphones. The results indicate that product characteristics, including function, which is related to satisfactory working, appearance, which is the same as no scratches on body and screen, and battery health, are the most worrying feature of refurbished smartphones that consumers have mentioned. Besides, we find that the similarity of these products to brand new ones and their lower prices are the main reason and motivation for purchasing. The results also show that the perceived value of refurbished smartphones is found as a two-dimensional structure based on perceived incentive and quality and perceived benefit and risk. Eventually, some solutions propose to improve customer perceptions and reduce the misconception of refurbishment concept, which can be used by refurbishers and marketing managers for proper product development and marketing strategies.

Suggested Citation

  • Nasiri, Mohammad Sadegh & Shokouhyar, Sajjad, 2021. "Actual consumers' response to purchase refurbished smartphones: Exploring perceived value from product reviews in online retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:joreco:v:62:y:2021:i:c:s0969698921002186
    DOI: 10.1016/j.jretconser.2021.102652
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    3. Alyahya, Mansour & Agag, Gomaa & Aliedan, Meqbel & Abdelmoety, Ziad H., 2023. "Understanding the factors affecting consumers’ behaviour when purchasing refurbished products: A chaordic perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    4. Guo, Wenhao & Tian, Jin & Li, Minqiang, 2023. "Price-aware enhanced dynamic recommendation based on deep learning," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Lv, Zhe & Zhao, Wenjia & Liu, Yu & Wu, Jie & Hou, Mutian, 2024. "Impact of perceived value, positive emotion, product coolness and Mianzi on new energy vehicle purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    6. Zhang, Junhui & Balaji, M.S. & Luo, Jun & Jha, Subhash, 2022. "Effectiveness of product recommendation framing on online retail platforms," Journal of Business Research, Elsevier, vol. 153(C), pages 185-197.
    7. Yu Cao & Honglei Lu & Chunxiao Zhu, 2022. "Consumer Preference for End-of-Life Scenarios and Recycled Products in Circular Economy," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    8. Lyu, Tu & Chen, Hao & Guo, Yulin, 2023. "Investigating innovation diffusion, social influence, and personal inner forces to understand people's participation in online e-waste recycling," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    9. Alzate, Miriam & Arce-Urriza, Marta & Cebollada, Javier, 2022. "Mining the text of online consumer reviews to analyze brand image and brand positioning," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    10. Lu, Irene R.R. & Kwan, Ernest, 2023. "An investigation of two remedial measures for retailers to address the impact of disease threat on sustainable consumption: A moderated moderated mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).

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