IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v114y2018icp386-397.html
   My bibliography  Save this article

Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era

Author

Listed:
  • Choi, Tsan-Ming

Abstract

In this paper, we study the fashion quick response program with social media observations, demand forecast updating, and a boundedly rational retailer. We analytically find that the likelihood of having good social media comments on the product plays a critical role in affecting the value of quick response, and its impact is mediated by the fashion retailer’s prior attitude towards the market demand. We then demonstrate how a Pareto improving situation can be achieved under quick response, and uncover that manipulating social media comments can benefit the manufacturer under the surplus sharing contract, but not under the two-part tariff contract.

Suggested Citation

  • Choi, Tsan-Ming, 2018. "Incorporating social media observations and bounded rationality into fashion quick response supply chains in the big data era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 386-397.
    • Handle: RePEc:eee:transe:v:114:y:2018:i:c:p:386-397
    DOI: 10.1016/j.tre.2016.11.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554516301806
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tre.2016.11.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Vahideh Sadat Abedi & Oded Berman & Dmitry Krass, 2014. "Supporting New Product or Service Introductions: Location, Marketing, and Word of Mouth," Operations Research, INFORMS, vol. 62(5), pages 994-1013, October.
    2. Pui‐Sze Chow & Tsan‐Ming Choi & Bin Shen & Jinhui Zheng, 2014. "Supply Contracting with Risk‐Sensitive Retailers under Information Asymmetry: An Exploratory Behavioral Study," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 554-564, July.
    3. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    4. Chen, Jing & Zhang, Hui & Sun, Ying, 2012. "Implementing coordination contracts in a manufacturer Stackelberg dual-channel supply chain," Omega, Elsevier, vol. 40(5), pages 571-583.
    5. Eric Van den Steen, 2011. "Overconfidence by Bayesian-Rational Agents," Management Science, INFORMS, vol. 57(5), pages 884-896, May.
    6. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    7. Sheu, Jiuh-Biing, 2011. "Bargaining framework for competitive green supply chains under governmental financial intervention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(5), pages 573-592, September.
    8. Choi, Tsan-Ming, 2013. "Local sourcing and fashion quick response system: The impacts of carbon footprint tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 43-54.
    9. Yufei Ren & Rachel Croson, 2013. "Overconfidence in Newsvendor Orders: An Experimental Study," Management Science, INFORMS, vol. 59(11), pages 2502-2517, November.
    10. Chang Hwan Lee & Tsan‐Ming Choi & T.C.E. Cheng, 2015. "Selling to strategic and loss‐averse consumers: Stocking, procurement, and product design policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 435-453, September.
    11. Zugang Liu & Anna Nagurney, 2013. "Supply chain networks with global outsourcing and quick-response production under demand and cost uncertainty," Annals of Operations Research, Springer, vol. 208(1), pages 251-289, September.
    12. Haresh Gurnani & Christopher S. Tang, 1999. "Note: Optimal Ordering Decisions with Uncertain Cost and Demand Forecast Updating," Management Science, INFORMS, vol. 45(10), pages 1456-1462, October.
    13. Gérard P. Cachon & Robert Swinney, 2011. "The Value of Fast Fashion: Quick Response, Enhanced Design, and Strategic Consumer Behavior," Management Science, INFORMS, vol. 57(4), pages 778-795, April.
    14. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    15. Basole, Rahul C. & Nowak, Maciek, 2018. "Assimilation of tracking technology in the supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 350-370.
    16. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Hing Kai Chan & Xiaojun Wang & Ewelina Lacka & Min Zhang, 2016. "A Mixed-Method Approach to Extracting the Value of Social Media Data," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 568-583, March.
    17. Yang, Daojian & Qi, Ershi & Li, Yajiao, 2015. "Quick response and supply chain structure with strategic consumers," Omega, Elsevier, vol. 52(C), pages 1-14.
    18. Karen L. Donohue, 2000. "Efficient Supply Contracts for Fashion Goods with Forecast Updating and Two Production Modes," Management Science, INFORMS, vol. 46(11), pages 1397-1411, November.
    19. Xuanming Su & Fuqiang Zhang, 2008. "Strategic Customer Behavior, Commitment, and Supply Chain Performance," Management Science, INFORMS, vol. 54(10), pages 1759-1773, October.
    20. Cantor, David E. & Blackhurst, Jennifer V. & Cortes, Juan David, 2014. "The clock is ticking: The role of uncertainty, regulatory focus, and level of risk on supply chain disruption decision making behavior," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 159-172.
    21. Ananth. V. Iyer & Mark E. Bergen, 1997. "Quick Response in Manufacturer-Retailer Channels," Management Science, INFORMS, vol. 43(4), pages 559-570, April.
    22. T-M Choi & D Li & H Yan, 2003. "Optimal two-stage ordering policy with Bayesian information updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(8), pages 846-859, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cai, Ya-Jun & Choi, Tsan-Ming, 2020. "A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    2. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    3. Zhong, Qinjia & Wang, Jianjun & Zou, Zongbao & Lai, Xiaofan, 2023. "The incentives for information sharing in online retail platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    4. Li, Xiang, 2020. "Reducing channel costs by investing in smart supply chain technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    5. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    6. Chen, Junlin & Feng, Xiaojing & Kou, Gang & Mu, Mengting, 2023. "Multiproduct newsvendor with cross-selling and narrow-bracketing behavior using data mining methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    7. Zhao, Tianyi & Xu, Xiaoping & Chen, Ya & Liang, Liang & Yu, Yugang & Wang, Ke, 2020. "Coordination of a fashion supply chain with demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    8. Niu, Baozhuang & Zeng, Fanzhuo & Liu, Yaoqi, 2021. "Firms’ introduction of internet-based installment: Incremental demand vs. cash opportunity cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    9. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    10. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
    11. Wei, Ying & Xiong, Sijia & Li, Feng, 2019. "Ordering bias with two reference profits: Exogenous benchmark and minimum requirement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 229-250.
    12. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    13. Qiu, Ruozhen & Sun, Yue & Zhou, Hongcheng & Sun, Minghe, 2023. "Dynamic pricing and quick response of a retailer in the presence of strategic consumers: A distributionally robust optimization approach," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1270-1298.
    14. Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    15. Song, Malin & Fisher, Ron & Kwoh, Yusen, 2019. "Technological challenges of green innovation and sustainable resource management with large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 361-368.
    16. Gurinder Kaur & Ronald Kander, 2023. "Supply Chain Simulation of Manufacturing Shirts Using System Dynamics for Sustainability," Sustainability, MDPI, vol. 15(21), pages 1-24, October.
    17. Govindan, Kannan & Rajeev, A. & Padhi, Sidhartha S. & Pati, Rupesh K., 2020. "Supply chain sustainability and performance of firms: A meta-analysis of the literature," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    18. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    19. Luo, Suyuan & Lin, Xudong & Zheng, Zunxin, 2019. "A novel CNN-DDPG based AI-trader: Performance and roles in business operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 68-79.
    20. Shi, Chun-lai & Geng, Wei, 2021. "To introduce a store brand or not: Roles of market information in supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    21. Choi, Tsan-Ming & Liu, Na, 2019. "Optimal advertisement budget allocation and coordination in luxury fashion supply chains with multiple brand-tier products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 95-107.
    22. Xu, Jian & Duan, Yongrui, 2020. "Pricing, ordering, and quick response for online sellers in the presence of consumer disappointment aversion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsan-Ming Choi, 2018. "Impacts of retailer’s risk averse behaviors on quick response fashion supply chain systems," Annals of Operations Research, Springer, vol. 268(1), pages 239-257, September.
    2. Choi, Tsan-Ming, 2020. "Internet based elastic logistics platforms for fashion quick response systems in the digital era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    3. Dong, Junfeng & Wu, Desheng Dash, 2019. "Two-period pricing and quick response with strategic customers," International Journal of Production Economics, Elsevier, vol. 215(C), pages 165-173.
    4. Yang, Daojian & Qi, Ershi & Li, Yajiao, 2015. "Quick response and supply chain structure with strategic consumers," Omega, Elsevier, vol. 52(C), pages 1-14.
    5. Choi, Tsan-Ming & Chen, Yue & Chung, Sai Ho, 2019. "Online-offline fashion franchising supply chains without channel conflicts: Choices on postponement and contracts," International Journal of Production Economics, Elsevier, vol. 215(C), pages 174-184.
    6. Tsan-Ming Choi & Ya-Jun Cai, 2020. "Impacts of lead time reduction on fabric sourcing in apparel production with yield and environmental considerations," Annals of Operations Research, Springer, vol. 290(1), pages 521-542, July.
    7. Choi, Tsan-Ming, 2007. "Pre-season stocking and pricing decisions for fashion retailers with multiple information updating," International Journal of Production Economics, Elsevier, vol. 106(1), pages 146-170, March.
    8. Song, Yanan & Zhao, Xiaobo, 2016. "Strategic customer behavior facing possible stockout: An experimental study," International Journal of Production Economics, Elsevier, vol. 180(C), pages 57-67.
    9. Choi, Tsan-Ming & Chow, Pui-Sze, 2008. "Mean-variance analysis of Quick Response Program," International Journal of Production Economics, Elsevier, vol. 114(2), pages 456-475, August.
    10. Choi, Tsan-Ming (Jason) & Li, Duan & Yan, Houmin, 2006. "Quick response policy with Bayesian information updates," European Journal of Operational Research, Elsevier, vol. 170(3), pages 788-808, May.
    11. Jiahua Zhang & Lian Qi & Shilu Tong, 2021. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1273-1289, May.
    12. Weihua Liu & Donglei Zhu & Yijia Wang, 2017. "Capacity Procurement in Logistics Service Supply Chain with Demand Updating and Rational Expectation Behavior," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-48, December.
    13. Serel, Doğan A., 2012. "Multi-item quick response system with budget constraint," International Journal of Production Economics, Elsevier, vol. 137(2), pages 235-249.
    14. Yu, Yugang & Zhou, Sijie & Shi, Ye, 2020. "Information sharing or not across the supply chain: The role of carbon emission reduction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    15. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
    16. Serel, Dogan A., 2009. "Optimal ordering and pricing in a quick response system," International Journal of Production Economics, Elsevier, vol. 121(2), pages 700-714, October.
    17. Juzhi Zhang & Tsan‐Ming Choi & T. C. E. Cheng, 2020. "Stochastic production capacity: A bane or a boon for quick response supply chains?," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(2), pages 126-146, March.
    18. Yue Chen & Sai-Ho Chung & Shu Guo, 2020. "Franchising contracts in fashion supply chain operations: models, practices, and real case study," Annals of Operations Research, Springer, vol. 291(1), pages 83-128, August.
    19. Mark E. Ferguson & Gregory A. DeCroix & Paul H. Zipkin, 2005. "Commitment decisions with partial information updating," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 780-795, December.
    20. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transe:v:114:y:2018:i:c:p:386-397. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.