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Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains

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Abstract

Trade promotion plays a critical role in real-world marketing and operations management. However, previous research paid rare attention to how to provide trade promotions in a sustainable manner when consumer demand is disrupted. Considering that demand disruption is becoming surging because of the digital economy, it is quite necessary to discern the managerial implications for sustainable trade promotion practice in demand disruption scenarios. For this purpose, we analyze trade promotions under demand disruption by integrating demand uncertainty and limited capacity into a stylized demand disruption model. Three trade promotion types, i.e. off-invoice, scan-back, and revenue-sharing, are examined, and optimal promotion decisions are derived for each strategy. Our results show that both manufacturer and retailer would adopt aggressive pricing strategies as the demand disruption being intensified. For trade promotion strategies, our results show that, for a certain level of demand disruption, the manufacturer prefers off-invoice rather than revenue-sharing when the manufacturer needs to offer a more aggressive trade promotion. This result indicates that, when aggressive trade promotions are needed, the manufacturer may be worse off by a revenue-sharing strategy, even though the revenue-sharing could coordinate a supply chain.

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References

  • Ailawadi, K., Farris, P., & Shames, E. (1999). Trade promotion: Essential to selling through resellers. Sloan Management Review, 41(1), 83.

    Google Scholar 

  • Atasu, A., & Souza, G. C. (2013). How does product recovery affect quality choice? Production and Operations Management, 22(4), 991–1010.

    Google Scholar 

  • Besanko, D., Dubé, J. P., & Gupta, S. (2005). Own-brand and cross-brand retail pass-through. Marketing Science, 24(1), 123–137.

    Google Scholar 

  • Blattberg, R. C., & Neslin, S. A. (1990). Sales promotion: Concepts, methods, and strategies. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

  • Bruce, N., Desai, P. S., & Staelin, R. (2005). The better they are, the more they give: Trade promotions of consumer durables. Journal of Marketing Research, 42(1), 54–66.

    Google Scholar 

  • Cao, E., Wan, C., & Lai, M. (2013). Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions. International Journal of Production Economics, 141(1), 425–433.

    Google Scholar 

  • Cao, E., Zhou, X., & Lü, K. (2015). Coordinating a supply chain under demand and cost disruptions. International Journal of Production Research, 53(12), 3735–3752.

    Google Scholar 

  • Chen, J., & Bell, P. C. (2013). The impact of customer returns on supply chain decisions under various channel interactions. Annals of Operations Research, 206(1), 59–74.

    Google Scholar 

  • Chen, K., & Xiao, T. (2009). Demand disruption and coordination of the supply chain with a dominant retailer. European Journal of Operational Research, 197(1), 225–234.

    Google Scholar 

  • Chen, X., & Wang, A. (2012). Trade credit contract with limited liability in the supply chain with budget constraints. Annals of Operations Research, 196(1), 153–165.

    Google Scholar 

  • Chevalier, M., & Curhan, R. C. (1976). Retail promotions as a function of trade promotions: A descriptive analysis. Sloan Management Review, 18(1), 19–32.

    Google Scholar 

  • Chinander, K. R. (2001). Aligning accountability and awareness for environmental performance in operations. Production and Operations Management, 10(3), 276–291.

    Google Scholar 

  • Clausen, J., Larsen, A., Larsen, J., & Rezanova, N. J. (2010). Disruption management in the airline industry-concepts, models and methods. Computers & Operations Research, 37(5), 809–821.

    Google Scholar 

  • Craighead, C. W., Blackhurst, J., Rungtusanatham, M. J., & Handfield, R. B. (2007). The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131–156.

    Google Scholar 

  • Cui, T. H., Raju, J. S., & Zhang, Z. J. (2008). A price discrimination model of trade promotions. Marketing Science, 27(5), 779–795.

    Google Scholar 

  • Delmas, M. (2001). Stakeholders and competitive advantage: The case of ISO 14001. Production and Operations Management, 10(3), 343–358.

    Google Scholar 

  • Dong, L., & Rudi, N. (2004). Who benefits from transshipment? Exogenous vs. endogenous wholesale prices. Management Science, 50(5), 645–657.

    Google Scholar 

  • Dong, L., & Tomlin, B. (2012). Managing disruption risk: The interplay between operations and insurance. Management Science, 58(10), 1898–1915.

    Google Scholar 

  • Drèze, X., & Bell, D. R. (2003). Creating winCwin trade promotions: Theory and empirical analysis of scan-back trade deals. Marketing science, 22(1), 16–39.

    Google Scholar 

  • Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., & Roubaud, D. (2017). Upstream supply chain visibility and complexity effect on focal companys sustainable performance: Indian manufacturers perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2544-x.

    Article  Google Scholar 

  • DuHadway, S., Carnovale, S., & Hazen, B. (2017). Understanding risk management for intentional supply chain disruptions: Risk detection, risk mitigation, and risk recovery. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2452-0.

    Article  Google Scholar 

  • Ferrer, G., & Whybark, D. (2001). Material planning for a remanufacturing facility. Production and Operations Management, 10(2), 112–124.

    Google Scholar 

  • Flowers, A., & Linderman, K. (2003). Hazardous waste disposal: a waste-fuel blending approach. Production and Operations Management, 12(3), 307–319.

    Google Scholar 

  • Gómez, M. I., Maratou, L. M., & Just, D. R. (2007a). Factors affecting the allocation of trade promotions in the US food distribution system. Review of Agricultural Economics, 29(1), 119–140.

    Google Scholar 

  • Gómez, M. I., Rao, V. R., & McLaughlin, E. W. (2007b). Empirical analysis of budget and allocation of trade promotions in the US supermarket industry. Journal of marketing research, 44(3), 410–424.

    Google Scholar 

  • Guide, V. D. R., & Wassenhove, L. N. (2001). Managing product returns for remanufacturing. Production and Operations Management, 10(2), 142–155.

    Google Scholar 

  • Hendricks, K. B., & Singhal, V. R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations management, 14(1), 35–52.

    Google Scholar 

  • Ho, T. H., & Zhang, J. (2008). Designing pricing contracts for boundedly rational customers: Does the framing of the fixed fee matter? Management Science, 54(4), 686–700.

    Google Scholar 

  • Hora, M., & Klassen, R. D. (2013). Learning from others’ misfortune: Factors influencing knowledge acquisition to reduce operational risk. Journal of Operations Management, 31(1), 52–61.

    Google Scholar 

  • Hou, J., Zeng, A. Z., & Zhao, L. (2010). Coordination with a backup supplier through buy-back contract under supply disruption. Transportation Research Part E: Logistics and Transportation Review, 46(6), 881–895.

    Google Scholar 

  • Hu, B., & Kostamis, D. (2015). Managing supply disruptions when sourcing from reliable and unreliable suppliers. Production and Operations Management, 24(5), 808–820.

    Google Scholar 

  • Hu, Z., Cao, J., & Hong, L. J. (2012). Robust simulation of global warming policies using the DICE model. Management Science, 58(12), 2190–2206.

    Google Scholar 

  • Jabbour, C. J. C., Janeiro, R. C., de Sousa Jabbour, A. B. L., Junior, J. A. G., Salgado, M. H., & Jugend, D. (2017). Social aspects of sustainable supply chains: unveiling potential relationships in the Brazilian context. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2660-7.

    Article  Google Scholar 

  • Ji, X., Li, G., & Wang, Z. (2017a). Impact of emission regulation policies on Chinese power firms reusable environmental investments and sustainable operations. Energy Policy, 108, 163–177.

    Google Scholar 

  • Ji, X., Li, G., & Wang, Z. (2017b). Allocation of emission permits for Chinas power plants: A systemic Pareto optimal method. Applied Energy, 204, 607–619.

    Google Scholar 

  • Ji, X., Sun, J., & Wang, Z. (2017c). Turn bad into good: Using transshipment-before-buyback for disruptions of stochastic demand. International Journal of Production Economics, 185, 150–161.

    Google Scholar 

  • Ji, X., Sun, J., Wang, Y., & Yuan, Q. (2017d). Allocation of emission permits in large data sets: a robust multi-criteria approach. Journal of Cleaner Production, 142, 894–906.

    Google Scholar 

  • Ji, X., Wu, J., Liang, L., & Zhu, Q. (2018). The impacts of public sustainability concerns on length of product line. European Journal of Operational Research, 269(1), 16–23.

    Google Scholar 

  • Ji, X., Wu, J., & Zhu, Q. (2016). Eco-design of transportation in sustainable supply chain management: A DEA-like method. Transportation Research Part D: Transport and Environment, 48, 451–459.

    Google Scholar 

  • Johansson, L., & Olsson, F. (2017). Quantifying sustainable control of inventory systems with non-linear backorder costs. Annals of Operations Research, 259(1–2), 217–239.

    Google Scholar 

  • Kaur, H., & Singh, S. P. (2016). Sustainable procurement and logistics for disaster resilient supply chain. Annals of Operations Research. https://doi.org/10.1007/s10479-016-2374-2.

    Article  Google Scholar 

  • Kawaguchi, T., Suzuki, N., & Kaiser, H. M. (1997). A spatial equilibrium model for imperfectly competitive milk markets. American Journal of Agricultural Economics, 79(3), 851–859.

    Google Scholar 

  • Khokhar, S. G., Min, Q., & Su, C. (2015). Bird flu (H7N9) outbreak and its implications on the supply chain of poultry meat in China. The Journal of Applied Poultry Research, 24(2), 215–221.

    Google Scholar 

  • Kim, Y., Chen, Y. S., & Linderman, K. (2015). Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33, 43–59.

    Google Scholar 

  • Klassen, R. D. (2001). Plant-level environmental management orientation: The influence of management views and plant characteristics. Production and Operations Management, 10(3), 257–275.

    Google Scholar 

  • Kleindorfer, P. R., & Saad, G. H. (2005). Managing disruption risks in supply chains. Production and operations management, 14(1), 53–68.

    Google Scholar 

  • Kumar, R. S., Choudhary, A., Babu, S. A. I., Kumar, S. K., Goswami, A., & Tiwari, M. K. (2017). Designing multi-period supply chain network considering risk and emission: A multi-objective approach. Annals of Operations Research, 250(2), 427–461.

    Google Scholar 

  • Kumar, N., Rajiv, S., & Jeuland, A. (2001). Effectiveness of trade promotions: Analyzing the determinants of retail pass through. Marketing science, 20(4), 382–404.

    Google Scholar 

  • Kurata, H., & Yue, X. (2008). Trade promotion mode choice and information sharing in fashion retail supply chains. International Journal of Production Economics, 114(2), 507–519.

    Google Scholar 

  • Kuster, J., Jannach, D., & Friedrich, G. (2010). Applying local rescheduling in response to schedule disruptions. Annals of Operations Research, 180(1), 265–282.

    Google Scholar 

  • Lal, R., & Villas-Boas, J. M. (1998). Price promotions and trade deals with multiproduct retailers. Management Science, 44(7), 935–949.

    Google Scholar 

  • Latour, A. (2001). Trial by fire: A blaze in Albuquerque sets off major crisis for cell-phone giants. Wall Street Journal, 1(29), 2001.

    Google Scholar 

  • Lei, D., Li, J., & Liu, Z. (2012). Supply chain contracts under demand and cost disruptions with asymmetric information. International Journal of Production Economics, 139(1), 116–126.

    Google Scholar 

  • Li, G., Liu, W., Wang, Z., & Liu, M. (2017a). An empirical examination of energy consumption, behavioral intention, and situational factors: evidence from Beijing. Annals of Operations Research, 255(1–2), 507–524.

    Google Scholar 

  • Li, T., Sethi, S. P., & Zhang, J. (2017b). Mitigating supply uncertainty: The interplay between diversification and pricing. Production and Operations Management, 26(3), 369–388.

    Google Scholar 

  • Lim, M. K., Bassamboo, A., Chopra, S., & Daskin, M. S. (2013). Facility location decisions with random disruptions and imperfect estimation. Manufacturing & Service Operations Management, 15(2), 239–249.

    Google Scholar 

  • Liu, Y., Li, H., Peng, G., Lv, B., & Zhang, C. (2015). Online purchaser segmentation and promotion strategy selection: evidence from Chinese E-commerce market. Annals of Operations Research, 233(1), 263–279.

    Google Scholar 

  • Martín-Herrán, G., Sigué, S. P., & Zaccour, G. (2010). The dilemma of pull and push-price promotions. Journal of Retailing, 86(1), 51–68.

    Google Scholar 

  • Meza, S., & Sudhir, K. (2006). Pass-through timing. Quantitative Marketing and Economics, 4(4), 351–382.

    Google Scholar 

  • Melnyk, S. A., Sroufe, R. P., & Calantone, R. J. (2003). A model of site-specific antecedents of ISO 14001 certification. Production and Operations Management, 12(3), 369–385.

    Google Scholar 

  • Moorthy, S. (2005). A general theory of pass-through in channels with category management and retail competition. Marketing Science, 24(1), 110–122.

    Google Scholar 

  • Narasimhan, C. (1988). Competitive promotional strategies. Journal of Business, 61(4), 427–449.

    Google Scholar 

  • Narasimhan, C. (1990). Managerial perspectives on trade and consumer promotions. Marketing letters, 1(3), 239–251.

    Google Scholar 

  • Nijs, V., Misra, K., Anderson, E. T., Hansen, K., & Krishnamurthi, L. (2010). Channel pass-through of trade promotions. Marketing Science, 29(2), 250–267.

    Google Scholar 

  • Norio, O., Ye, T., Kajitani, Y., Shi, P., & Tatano, H. (2011). The 2011 eastern Japan great earthquake disaster: Overview and comments. International Journal of Disaster Risk Science, 2(1), 34–42.

    Google Scholar 

  • Paul, S. K., Asian, S., Goh, M., & Torabi, S. A. (2017). Managing sudden transportation disruptions in supply chains under delivery delay and quantity loss. Annals of Operations Research. https://doi.org/10.1007/s10479-017-2684-z.

  • Pauwels, K. (2007). How retailer and competitor decisions drive the long-term effectiveness of manufacturer promotions for fast moving consumer goods. Journal of Retailing, 83(3), 297–308.

    Google Scholar 

  • Poddar, A., & Donthu, N. (2012). Improving trade promotions through virtual forward buying. Journal of Business & Industrial Marketing, 28(1), 16–28.

    Google Scholar 

  • Poddar, A., Donthu, N., & Parvatiyar, A. (2013). Drivers of trade promotion receptiveness: The role of relationship and trade promotion satisfaction. Journal of Marketing Theory and Practice, 21(1), 45–56.

    Google Scholar 

  • Qi, X., Bard, J. F., & Yu, G. (2004). Supply chain coordination with demand disruptions. Omega, 32(4), 301–312.

    Google Scholar 

  • Ray, P., & Jenamani, M. (2016). Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach. Annals of Operations Research, 237(1–2), 237–262.

    Google Scholar 

  • Rimpelä, M. K., Aarø, L. E., & Rimpelä, A. H. (1993). The effects of tobacco sales promotion on initiation of smoking-experiences from Finland and Norway. Scandinavian journal of social medicine. Supplementum, 49, 5–23.

    Google Scholar 

  • Sheffi, Y., Rice Jr, J. B., Fleck, J. M., & Caniato, F. (2003). Supply chain response to global terrorism: A situation scan. In: Center for Transportation and Logistics, MIT, Department of Management, Economics and Industrial Engineering, Politecnico di Milano, EurOMA POMS Joint International Conference.

  • Snir, E. M. (2001). Liability as a catalyst for product stewardship. Production and Operations Management, 10(2), 190–206.

    Google Scholar 

  • Soleimani, F., Khamseh, A. A., & Naderi, B. (2016). Optimal decisions in a dual-channel supply chain under simultaneous demand and production cost disruptions. Annals of Operations Research, 243(1–2), 301–321.

    Google Scholar 

  • Su, Y., & Geunes, J. (2013). Multi-period price promotions in a single-supplier, multi-retailer supply chain under asymmetric demand information. Annals of Operations Research, 211(1), 447–472.

    Google Scholar 

  • Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.

    Google Scholar 

  • Tayal, A., Gunasekaran, A., Singh, S. P., Dubey, R., & Papadopoulos, T. (2017). Formulating and solving sustainable stochastic dynamic facility layout problem: A key to sustainable operations. Annals of Operations Research, 253(1), 621–655.

    Google Scholar 

  • Tsao, Y. C., & Lu, J. C. (2016). Trade promotion policies in manufacturer-retailer supply chains. Transportation Research Part E: Logistics and Transportation Review, 96, 20–39.

    Google Scholar 

  • Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639–657.

    Google Scholar 

  • Tyagi, R. K. (1999). A characterization of retailer response to manufacturer trade deals. Journal of Marketing Research, 36, 510–516.

    Google Scholar 

  • Varadarajan, P. R. (1986). Horizontal cooperative sales promotion: A framework for classification and additional perspectives. Journal of Marketing, 50, 61–73.

    Google Scholar 

  • Wakefield, K. L., & Barnes, J. H. (1996). Retailing hedonic consumption: A model of sales promotion of a leisure service. Journal of Retailing, 72(4), 409–427.

    Google Scholar 

  • Walters, R. G. (1989). An empirical investigation into retailer response to manufacturer trade promotions. Journal of Retailing, 65(2), 253–273.

    Google Scholar 

  • Woensel, T., Creten, R., & Vandaele, N. (2001). Managing the environmental externalities of traffic logistics: The issue of emissions. Production and Operations Management, 10(2), 207–223.

    Google Scholar 

  • Xu, M., Qi, X., Yu, G., & Zhang, H. (2006). Coordinating dyadic supply chains when production costs are disrupted. IIE Transactions, 38(9), 765–775.

    Google Scholar 

  • Yuan, H., Gómez, M. I., & Rao, V. R. (2013). Trade promotion decisions under demand uncertainty: A market experiment approach. Management Science, 59(7), 1709–1724.

    Google Scholar 

  • Zhang, Y., Donohue, K., & Cui, T. H. (2015). Contract preferences and performance for the loss-averse supplier: Buyback vs. revenue sharing. Management Science, 62(6), 1734–1754.

    Google Scholar 

  • Zhou, L., Turvey, C. G., Hu, W., & Ying, R. (2016). Fear and trust: How risk perceptions of avian influenza affect the demand for Chicken. China Economic Review, 40, 91–104.

    Google Scholar 

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Acknowledgements

This research is supported by National Natural Science Foundation of China (No. 71571173), Top-Notch Young Talents Program of China, and the Research Center of Modern Logistics Engineering of USTC. Dr. Xiang Ji also thanks financial supports from China Postdoctoral Science Foundation (Nos. 2017M622027, 2018T110630) and the Fundamental Research Funds for the Central Universities (No. WK2040160029).

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Wu, J., Chen, Z. & Ji, X. Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains. Ann Oper Res 290, 115–143 (2020). https://doi.org/10.1007/s10479-018-2964-2

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