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Impact of consumers’ anticipated regret on brand owners’ blockchain adoption in the presence of a secondhand market

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  • Guan, Zhimin
  • Yu, Tianyang
  • Dong, Jingyang
  • Zhang, Jun

Abstract

Blockchain has been widely adopted in the field of product traceability owing to its powerful information tracing function. In this study, considering consumers’ anticipated regret (e.g., high-price regret and misfit regret), we investigate a brand owner’s (BO’s) blockchain adoption strategy under competition between new and secondhand products. Moreover, we identify the uncertainty mitigation effect and brand image improvement effect of blockchain adoption. Four scenarios are involved: Scenario NN (without blockchain and no anticipated regret), Scenario NH (without blockchain considering only high-price regret), Scenario NL (without blockchain considering only misfit regret), and Scenario B (with blockchain). We construct Stackelberg games to explore the optimal pricing decisions for BO and secondhand supplier (SS). The results indicate that, without blockchain adoption, alleviating high-price regret (or stimulating misfit regret) can enhance the profits of both BO and SS. BO does not necessarily benefit from blockchain adoption. Specifically, blockchain adoption increases BO’s profits if (1) the brand image improvement level is large, or (2) the brand image improvement level is moderate, and the high-price regret intensity is strong (or the misfit regret intensity is weak). Furthermore, under certain conditions, SS is able to become a free rider of BO’s blockchain adoption. Three extensions are analyzed to demonstrate that key findings are robust.

Suggested Citation

  • Guan, Zhimin & Yu, Tianyang & Dong, Jingyang & Zhang, Jun, 2024. "Impact of consumers’ anticipated regret on brand owners’ blockchain adoption in the presence of a secondhand market," International Journal of Production Economics, Elsevier, vol. 271(C).
    • Handle: RePEc:eee:proeco:v:271:y:2024:i:c:s0925527324000549
    DOI: 10.1016/j.ijpe.2024.109197
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    as
    1. Tianxin Zou & Bo Zhou & Baojun Jiang, 2020. "Product-Line Design in the Presence of Consumers’ Anticipated Regret," Management Science, INFORMS, vol. 66(12), pages 5665-5682, December.
    2. Javad Nasiry & Ioana Popescu, 2012. "Advance Selling When Consumers Regret," Management Science, INFORMS, vol. 58(6), pages 1160-1177, June.
    3. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    4. Fei Gao & Xuanming Su, 2017. "Online and Offline Information for Omnichannel Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 84-98, February.
    5. Qingwei Jin & Mengyan Zhu & Yi Yang & Lin Liu, 2022. "Consumer search with anticipated regret," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3337-3351, August.
    6. Özalp Özer & Yanchong Zheng, 2016. "Markdown or Everyday Low Price? The Role of Behavioral Motives," Management Science, INFORMS, vol. 62(2), pages 326-346, February.
    7. Feng, Lipan & Zheng, Xiong & Govindan, Kannan & Xue, Kelei, 2019. "Does the presence of secondary market platform really hurt the firm?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 55-68.
    8. Bin Shen & Ciwei Dong & Stefan Minner, 2022. "Combating Copycats in the Supply Chain with Permissioned Blockchain Technology," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 138-154, January.
    9. Volodymyr Babich & Gilles Hilary, 2020. "OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 223-245, March.
    10. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    11. Gabriella M. Hastig & ManMohan S. Sodhi, 2020. "Blockchain for Supply Chain Traceability: Business Requirements and Critical Success Factors," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 935-954, April.
    12. Vanessa M. Patrick & Deborah J. MacInnis & C. Whan Park, 2007. "Not as Happy as I Thought I'd Be? Affective Misforecasting and Product Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(4), pages 479-489, December.
    13. Niu, Baozhuang & Dong, Jian & Liu, Yaoqi, 2021. "Incentive alignment for blockchain adoption in medicine supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    14. Paolo Letizia & Morteza Pourakbar & Terry Harrison, 2018. "The Impact of Consumer Returns on the Multichannel Sales Strategies of Manufacturers," Production and Operations Management, Production and Operations Management Society, vol. 27(2), pages 323-349, February.
    15. Zhu, Shichao & Li, Jian & Wang, Shouyang & Xia, Yusen & Wang, Yajing, 2023. "The role of blockchain technology in the dual-channel supply chain dominated by a brand owner," International Journal of Production Economics, Elsevier, vol. 258(C).
    16. Mehmet Sekip Altug & Tolga Aydinliyim, 2016. "Counteracting Strategic Purchase Deferrals: The Impact of Online Retailers’ Return Policy Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 376-392, July.
    17. Jiri Chod & Nikolaos Trichakis & Gerry Tsoukalas & Henry Aspegren & Mark Weber, 2020. "On the Financing Benefits of Supply Chain Transparency and Blockchain Adoption," Management Science, INFORMS, vol. 66(10), pages 4378-4396, October.
    18. Leela Nageswaran & Soo-Haeng Cho & Alan Scheller-Wolf, 2020. "Consumer Return Policies in Omnichannel Operations," Management Science, INFORMS, vol. 66(12), pages 5558-5575, December.
    19. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    20. Qiu, Ruozhen & Li, Xuge & Sun, Minghe, 2023. "Vertical integration of an online secondhand platform and a recycling platform under different power structures," European Journal of Operational Research, Elsevier, vol. 310(1), pages 286-301.
    21. Zeelenberg, M., 1999. "Anticipated regret, expected feedback and behavioral decision-making," Other publications TiSEM 38371d1b-31fd-45b0-860f-b, Tilburg University, School of Economics and Management.
    22. Lo, Hui-Chiung & Yu, Rouh-Yun, 2013. "A study of quality management strategy for reused products," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 172-177.
    23. Lacourbe, Paul, 2016. "Durable goods leasing in the presence of exporting used products to an international secondary market," European Journal of Operational Research, Elsevier, vol. 250(2), pages 448-456.
    24. Zeelenberg, Marcel & Beattie, Jane & van der Pligt, Joop & de Vries, Nanne K., 1996. "Consequences of Regret Aversion: Effects of Expected Feedback on Risky Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(2), pages 148-158, February.
    25. Simonson, Itamar, 1992. "The Influence of Anticipating Regret and Responsibility on Purchase Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 105-118, June.
    26. Niladri Syam & Partha Krishnamurthy & James D. Hess, 2008. "What I Thought I Wanted? Miswanting and Regret for a Standard Good in a Mass-Customized World," Marketing Science, INFORMS, vol. 27(3), pages 379-397, 05-06.
    27. Hubert Pun & Jayashankar M. Swaminathan & Pengwen Hou, 2021. "Blockchain Adoption for Combating Deceptive Counterfeits," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 864-882, April.
    28. Preyas Desai & Devavrat Purohit, 1998. "Leasing and Selling: Optimal Marketing Strategies for a Durable Goods Firm," Management Science, INFORMS, vol. 44(11-Part-2), pages 19-34, November.
    29. Chang Dong & Yong Lei & Qian Liu, 2023. "(Un)conditional collection policies on used products with strategic customers," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 82-97, January.
    30. Zhou, Qin & Meng, Chao & Yuen, Kum Fai, 2020. "The impact of secondary market competition on refurbishing authorization strategies," International Journal of Production Economics, Elsevier, vol. 228(C).
    31. Borenich, Andrea & Dickbauer, Yanick & Reimann, Marc & Souza, Gilvan C., 2020. "Should a manufacturer sell refurbished returns on the secondary market to incentivize retailers to reduce consumer returns?," European Journal of Operational Research, Elsevier, vol. 282(2), pages 569-579.
    32. Yang, Feng & Wang, Manman & Ang, Sheng, 2021. "Optimal remanufacturing decisions in supply chains considering consumers’ anticipated regret and power structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    33. Xue, Yu & Caliskan-Demirag, Ozgun & Chen, Youhua (Frank) & Yu, Yugang, 2018. "Supporting customers to sell used goods: Profitability and environmental implications," International Journal of Production Economics, Elsevier, vol. 206(C), pages 220-232.
    34. Baojun Jiang & Chakravarthi Narasimhan & Özge Turut, 2017. "Anticipated Regret and Product Innovation," Management Science, INFORMS, vol. 63(12), pages 4208-4323, December.
    35. Ahmed, Wafaa A.H. & MacCarthy, Bart L., 2023. "Blockchain-enabled supply chain traceability – How wide? How deep?," International Journal of Production Economics, Elsevier, vol. 263(C).
    36. Yang, Xiying & Hua, Guowei & Cheng, T.C.E. & Zhang, Li & Zhang, Yi & Xu, Yadong, 2022. "Buy two and get X% off: Quantity discount under consumers’ anticipated regret," International Journal of Production Economics, Elsevier, vol. 250(C).
    37. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    38. Shen, Bin & Xu, Xiaoyan & Yuan, Quan, 2020. "Selling secondhand products through an online platform with blockchain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    39. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(C).
    40. Naoum-Sawaya, Joe & Elhedhli, Samir & De Carvalho, Paulo, 2023. "Strategic blockchain adoption to deter deceptive counterfeiters," European Journal of Operational Research, Elsevier, vol. 311(1), pages 373-386.
    41. Kuang, Yunjuan & Ng, Chi To, 2018. "Pricing substitutable products under consumer regrets," International Journal of Production Economics, Elsevier, vol. 203(C), pages 286-300.
    42. K. Sridhar Moorthy, 1984. "Market Segmentation, Self-Selection, and Product Line Design," Marketing Science, INFORMS, vol. 3(4), pages 288-307.
    43. Nektarios Oraiopoulos & Mark E. Ferguson & L. Beril Toktay, 2012. "Relicensing as a Secondary Market Strategy," Management Science, INFORMS, vol. 58(5), pages 1022-1037, May.
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