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Optimal advertising/ordering policy and finance mode selection for a capital-constrained retailer with stochastic demand

Author

Listed:
  • Yong-Wu Zhou

    () (South China University of Technology)

  • Bin Cao

    () (South China University of Technology)

  • Yuanguang Zhong

    () (South China University of Technology)

  • Yongzhong Wu

    () (South China University of Technology)

Abstract

Abstract In this paper, we discuss how a capital-constrained retailer determines his optimal advertising/ordering policy and selects his financing mode when he faces the following modes: no financing service, bank financing, and supplier/mixed financing. For each mode, we construct an optimization model and present a method for how the retailer determines his corresponding optimal advertising and ordering policies in the terms of his initial capital level. Furthermore, we derive the conditions of retailer selecting the optimal financing mode based on both his initial capital level and the interest rates of the financing services. We show that when the retailer is relatively “poor,” he prefers bank financing mode if the bank interest rate is lower than the supplier, otherwise mixed financing mode; when he is moderately “rich,” he only selects supplier financing mode if the bank interest rate is greater than a threshold value and otherwise bank financing mode; however, when he is relatively “rich,” he always chooses bank financing mode even if the bank interest rate is higher than the supplier. We conduct numerical studies to illustrate the theoretical results and find adopting financing service significantly improves the retailer’s performance especially when he has relatively low initial capital level.

Suggested Citation

  • Yong-Wu Zhou & Bin Cao & Yuanguang Zhong & Yongzhong Wu, 2017. "Optimal advertising/ordering policy and finance mode selection for a capital-constrained retailer with stochastic demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1620-1632, December.
  • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:12:d:10.1057_s41274-016-0161-8
    DOI: 10.1057/s41274-016-0161-8
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    References listed on IDEAS

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    1. Ting, Pin-Shou, 2015. "Comments on the EOQ model for deteriorating items with conditional trade credit linked to order quantity in the supply chain management," European Journal of Operational Research, Elsevier, vol. 246(1), pages 108-118.
    2. Khouja, Moutaz & Robbins, Stephanie S., 2003. "Linking advertising and quantity decisions in the single-period inventory model," International Journal of Production Economics, Elsevier, vol. 86(2), pages 93-105, November.
    3. Güler, M. Güray, 2014. "A note on: “The effect of optimal advertising on the distribution-free newsboy problem”," International Journal of Production Economics, Elsevier, vol. 148(C), pages 90-92.
    4. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," Review of Economic Studies, Oxford University Press, vol. 51(1), pages 63-81.
    5. Seifert, Daniel & Seifert, Ralf W. & Protopappa-Sieke, Margarita, 2013. "A review of trade credit literature: Opportunities for research in operations," European Journal of Operational Research, Elsevier, vol. 231(2), pages 245-256.
    6. Xie, Jinxing & Wei, Jerry C., 2009. "Coordinating advertising and pricing in a manufacturer-retailer channel," European Journal of Operational Research, Elsevier, vol. 197(2), pages 785-791, September.
    7. Ouyang, Liang-Yuh & Teng, Jinn-Tsair & Goyal, Suresh Kumar & Yang, Chih-Te, 2009. "An economic order quantity model for deteriorating items with partially permissible delay in payments linked to order quantity," European Journal of Operational Research, Elsevier, vol. 194(2), pages 418-431, April.
    8. Atanasova, Christina V. & Wilson, Nicholas, 2004. "Disequilibrium in the UK corporate loan market," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 595-614, March.
    9. Sang Yong Kim & Richard Staelin, 1999. "Manufacturer Allowances and Retailer Pass-Through Rates in a Competitive Environment," Marketing Science, INFORMS, vol. 18(1), pages 59-76.
    10. repec:pal:jorsoc:v:58:y:2007:i:9:d:10.1057_palgrave.jors.2602404 is not listed on IDEAS
    11. Wu, Jiang & Chan, Ya-Lan, 2014. "Lot-sizing policies for deteriorating items with expiration dates and partial trade credit to credit-risk customers," International Journal of Production Economics, Elsevier, vol. 155(C), pages 292-301.
    12. Lee, Chih-Ming & Hsu, Shu-Lu, 2011. "The effect of advertising on the distribution-free newsboy problem," International Journal of Production Economics, Elsevier, vol. 129(1), pages 217-224, January.
    13. Huang, Yung-Fu & Hsu, Kuang-Hua, 2008. "An EOQ model under retailer partial trade credit policy in supply chain," International Journal of Production Economics, Elsevier, vol. 112(2), pages 655-664, April.
    14. Vipul Agrawal & Sridhar Seshadri, 2000. "Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem," Manufacturing & Service Operations Management, INFORMS, vol. 2(4), pages 410-423, July.
    15. Panos Kouvelis & Wenhui Zhao, 2012. "Financing the Newsvendor: Supplier vs. Bank, and the Structure of Optimal Trade Credit Contracts," Operations Research, INFORMS, vol. 60(3), pages 566-580, June.
    16. Y-W Zhou & D Zhou, 2013. "Determination of the optimal trade credit policy: a supplier-Stackelberg model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(7), pages 1030-1048, July.
    17. Wu, Jiang & Ouyang, Liang-Yuh & Cárdenas-Barrón, Leopoldo Eduardo & Goyal, Suresh Kumar, 2014. "Optimal credit period and lot size for deteriorating items with expiration dates under two-level trade credit financing," European Journal of Operational Research, Elsevier, vol. 237(3), pages 898-908.
    18. Petersen, Mitchell A & Rajan, Raghuram G, 1994. " The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
    19. John A. Buzacott & Rachel Q. Zhang, 2004. "Inventory Management with Asset-Based Financing," Management Science, INFORMS, vol. 50(9), pages 1274-1292, September.
    20. Lode Li & Martin Shubik & Matthew J. Sobel, 2013. "Control of Dividends, Capital Subscriptions, and Physical Inventories," Management Science, INFORMS, vol. 59(5), pages 1107-1124, May.
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