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What drives the choice between first-hand and second-hand commodities?? An FsQCA analysis

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Abstract

The choice between purchasing first-hand or second-hand commodities is shaped by a complex interplay of factors, yet existing research often examines these determinants in isolation, overlooking their combined causal effects. Anchored in signal theory, this study employs fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover how causal configurations of brand value (BV), commodity price (CP), store reputation (SR), total comment volume (TC), and picture comment volume (PC) collectively influence consumers’ purchasing decisions. Analyzing data from 75 sampled cases (45 first-hand commodities and 30 s-hand commodities), the study reveals three key findings: (1) brand value and store reputation are necessary to achieve high monthly sales of first-hand commodities, while only brand value is a necessary condition for achieving high monthly sales of second-hand commodities; (2) a single dominant configuration (BV*CP*SR*TC*PC) drives high adoption of first-hand commodities; (3) two equifinal pathways (BV*TC*PC vs. BV*~CP*SR*PC) explain the purchasing of second-hand commodities. Theoretically, this research enriches consumer behavior literature by bridging signal theory with a configurational perspective, demonstrating how heterogeneous value perceptions lead to divergent outcomes. Practically, it provides actionable insights for e-commerce platforms: sellers of first-hand commodities should emphasize the synergy among brand, price, and reputation, whereas sellers of second-hand commodities can adopt dual strategies—either leveraging trust signals (reputation and comments) or value-for-money cues (brand and price trade-offs). By highlighting the causal complexity underlying consumer choices, this study advocates for tailored marketing strategies aligned with distinct product contexts.

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References

  1. Han, G., Feng, Z., Chen, S., Xue, X., & Wu, H. (2024). Evaluating differential pricing in e-commerce from the perspective of utility. Electronic Commerce Research and Applications, 64, 101373. https://doi.org/10.1016/j.elerap.2024.101373

    Article  Google Scholar 

  2. Moon, D., Kurisu, K., & Tahara, K. (2023). Which products are bought second-hand and by whom? Analysis of consumer-preferred acquisition modes by product type. Resources, Conservation and Recycling, 190, 106860. https://doi.org/10.1016/j.resconrec.2022.106860

    Article  Google Scholar 

  3. Padmavathy, C., Swapana, M., & Paul, J. (2019). Online second-hand shopping motivation - Conceptualization, scale development, and validation. Journal Of Retailing And Consumer Services, 51, 19–32. https://doi.org/10.1016/j.jretconser.2019.05.014

    Article  Google Scholar 

  4. Fernando, A. G., Sivakumaran, B., & Suganthi, L. (2018). Comparison of perceived acquisition value sought by online second-hand and new goods shoppers. European Journal of Marketing, 52(7/8), 1412–1438. https://doi.org/10.1108/EJM-01-2017-0048

    Article  Google Scholar 

  5. Habib, M. D., & Sarwar, M. A. (2021). After-sales services, brand equity and purchasing intention to buy second-hand product. Rajagiri Management Journal, 15(2), 129–144. https://doi.org/10.1108/RAMJ-07-2020-0033

    Article  Google Scholar 

  6. Chen, M. Y., & Teng, C. I. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research, 13(1), 1–23. https://doi.org/10.1007/s10660-013-9104-5

    Article  Google Scholar 

  7. Siddiqui, M. S., Siddiqui, U. A., Khan, M. A., Alkandi, I. G., Saxena, A. K., & Siddiqui, J. H. (2021). Creating electronic word of mouth credibility through social networking sites and determining its impact on brand image and online purchase intentions in India. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1008–1024. https://doi.org/10.3390/jtaer16040057

    Article  Google Scholar 

  8. Zhu, L., Li, H., Wang, F. K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: A new model based on the stimulus-organism-response (S-O-R) framework. Aslib Journal of Information Management, 72(4), 463–488. https://doi.org/10.1108/AJIM-11-2019-0308

    Article  Google Scholar 

  9. Chen, H., Chen, H. T., & Tian, X. X. (2022). The impact of social shopping feature richness on buying intention: A product perspective. Internet Research, 32(4), 1378–1400. https://doi.org/10.1108/INTR-05-2021-0313

    Article  Google Scholar 

  10. Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set qualitative comparative analysis (fsQCA): Guidelines for research practice in information systems and marketing. International Journal of Information Management, 58, 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310

    Article  Google Scholar 

  11. Kessous, A., & Valette-Florence, P. (2019). From prada to nada: Consumers and their luxury products: A contrast between second-hand and first-hand luxury products. Journal of Business Research, 102, 313–327. https://doi.org/10.1016/j.jbusres.2019.02.033

    Article  Google Scholar 

  12. Narwal, P., & Nayak, J. K. (2020). How consumers form product quality perceptions in absence of fixed posted prices: Interaction of product cues with seller reputation and third-party reviews. Journal of Retailing and Consumer Services, 52, 101924. https://doi.org/10.1016/j.jretconser.2019.101924

    Article  Google Scholar 

  13. Zhang, C., Yu, M., & Chen, J. (2022). Signaling quality with return insurance: Theory and empirical evidence. Management Science, 68(8), 5847–5867. https://doi.org/10.1287/mnsc.2021.4186

    Article  Google Scholar 

  14. Li, L. F., Tadelis, S., & Zhou, X. L. (2020). Buying reputation as a signal of quality: Evidence from an online marketplace. The Rand Journal of Economics, 51(4), 965–988. https://doi.org/10.1111/1756-2171.12346

    Article  Google Scholar 

  15. Li, N., Li, F., & Liu, C. J. (2024). Do buyer protection mechanisms help sellers? A model of seller competition in the presence of online reputation systems. Advanced Engineering Informatics, 59, Article 102327. https://doi.org/10.1016/j.aei.2023.102327

    Article  Google Scholar 

  16. Luo, N., Wang, Y., Zhang, M. L., Liu, T., & Tu, J. B. (2020). Integrating community and e-commerce to build a trusted online second-hand platform: Based on the perspective of social capital. Technological Forecasting and Social Change, 153, 119913. https://doi.org/10.1016/j.techfore.2020.119913

    Article  Google Scholar 

  17. Liu, F., & Zhang, X. P. (2020). The combination signaling effect of text and image on mobile phone review Helpfulness - The moderating effect of signaling environment. Ieee Access : Practical Innovations, Open Solutions, 8, 122736–122746. https://doi.org/10.1109/ACCESS.2020.3005951

    Article  Google Scholar 

  18. Li, S. G., Zhang, Y. Q., Yu, Z. X., & Liu, F. (2021). Economical user-generated content (UGC) marketing for online stores based on a fine-grained joint model of the consumer purchase decision process. Electronic Commerce Research, 21(4), 1083–1112. https://doi.org/10.1007/s10660-020-09401-8

    Article  Google Scholar 

  19. Civelek, M. E., & Adnan, V. E. (2019). The role of brand equity and perceived value for stimulating purchase intention in B2C e-commerce web sites. Business and Economics Research Journal, 10(1), 233–243. https://doi.org/10.20409/berj.2019.165

    Article  Google Scholar 

  20. Trivedi, J., & Sama, R. (2020). The effect of influencer marketing on consumers’ brand admiration and online purchase intentions: An emerging market perspective. Journal of Internet Commerce, 19(1), 103–124. https://doi.org/10.1080/15332861.2019.1700741

    Article  Google Scholar 

  21. Wang, X., & Ng, C. T. (2020). New retail versus traditional retail in e-commerce: Channel establishment, price competition, and consumer recognition. Annals of Operations Research, 291(1), 921–937. https://doi.org/10.1007/s10479-018-2994-9

    Article  Google Scholar 

  22. Nikbin, D., Aramo, T., Iranmanesh, M., & Ghobakhloo, M. (2022). Impact of brands’ Facebook page characteristics and followers’ comments on trust building and purchase intention: Alternative attractiveness as moderator. Journal of Consumer Behaviour, 21(3), 494–508. https://doi.org/10.1002/cb.2018

    Article  Google Scholar 

  23. Wang, X. P., Guo, J. P., & Liu, Y. W. (2020). Emotion as signal of product quality: Its effect on purchase decision based on online customer reviews. Internet Research, 30(2), 463–485. https://doi.org/10.1108/INTR-09-2018-0415

    Article  Google Scholar 

  24. Wang, Y., Qu, Z., & Tan, B. (2018). How do assurance mechanisms interact in online marketplaces? A signaling perspective. IEEE Transactions on Engineering Management, 65(2), 239–251. https://doi.org/10.1109/TEM.2017.2786275

    Article  Google Scholar 

  25. Niu, B., Dong, J., Dai, Z., & Liu, Y. (2022). Sales data sharing to improve product development efficiency in cross-border e-commerce. Electronic Commerce Research and Applications, 51, 101112. https://doi.org/10.1016/j.elerap.2021.101112

    Article  Google Scholar 

  26. Oana, I. E., Schneider, C. Q., & Thomann, E. (2021). Qualitative comparative analysis using R: A beginner’s guide. Cambridge University Press.

    Book  Google Scholar 

  27. Eastman, J. K., Shin, H., Jain, V., & Wang, X. (2024). Determinants of positive consumer affect toward luxury brands’ social media posts on sustainability: A FsQCA approach. Journal of Business Research, 183, 114871. https://doi.org/10.1016/j.jbusres.2024.114871

    Article  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge the useful suggestions by the editors and reviewers, and the support of Beijing Social Science Foundation Young Academic Leader Project(NO.24DTR032).

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Correspondence to Yuan Ni.

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Luo, N., Zhang, D., Zhu, Z. et al. What drives the choice between first-hand and second-hand commodities?? An FsQCA analysis. Electron Commer Res (2025). https://doi.org/10.1007/s10660-025-10041-z

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