Dynamic pricing and inventory control of online retail of fresh agricultural products with forward purchase behavior

References

• Adenso-Díaz, B., Lozano, S., & Palacio, A. (2017). Effects of dynamic pricing of perishable products on revenue and waste. Applied Mathematical Modelling, 45, 148–164. https://doi.org/10.1016/j.apm.2016.12.024
   Web of Science ®Google Scholar
• Akçay, Y., Natarajan, H. P., & Xu, S. H. (2010). Joint dynamic pricing of multiple perishable products under consumer choice. Management Science, 56(8), 1345–1361. https://doi.org/10.1287/mnsc.1100.1178
   Web of Science ®Google Scholar
• Altug, M. S., & Aydinliyim, T. (2016). Counteracting strategic purchase deferrals: The impact of online retailers’ return policy decisions. Manufacturing & Service Operations Management, 18(3), 376–392. https://doi.org/10.1287/msom.2015.0570
   Web of Science ®Google Scholar
• Angwin, J., & Mattioli, D. (2012). Coming soon: Toilet paper priced like airline tickets. Dow Jones & Company Inc.
   Google Scholar
• Banerjee, P. K., & Turner, T. R. (2012). A flexible model for the pricing of perishable assets. Omega, 40(5), 533–540. https://doi.org/10.1016/j.omega.2011.10.001
   Web of Science ®Google Scholar
• Bi, W., Liu, C., & Liu, H. (2018). Dynamic pricing strategies for perishable products considering demand substitution and social learning. Systems Engineering, 36(01), 53–62.
   Google Scholar
• Chen, J., Dong, M., Rong, Y., & Yang, L. (2018). Dynamic pricing for deteriorating products with menu cost. Omega, 75, 13–26. https://doi.org/10.1016/j.omega.2017.02.001
   Web of Science ®Google Scholar
• Cheng, Y. (2011). Dynamic bundling strategy of perishable products for delayed purchase in e-commerce. Systems Engineering Theory and Practice, 31(10), 1892–1902. https://doi.org/10.12011/1000-6788(2011)10-1892-11
   Google Scholar
• Chen, X., Pang, Z., & Pan, L. (2014). Coordinating inventory control and pricing strategies for perishable products. Operations Research, 62(2), 284–300. https://doi.org/10.1287/opre.2014.1261
   Web of Science ®Google Scholar
• Chen, Y., Wang, H., & Shen, H. (2006). Research on price competition between e-commerce retailers and traditional retailers. Systems Engineering Theory and Practice, 26(1), 35–41. https://doi.org/10.3321/j.issn:1000-6788.2006.01.005
   Google Scholar
• Cohen, M. C., Leung, N. Z., Panchamgam, K., Perakis, G., & Smith, A. (2017). The impact of linear optimization on promotion planning. Operations Research, 65(2), 446–468. https://doi.org/10.1287/opre.2016.1573
   Web of Science ®Google Scholar
• Fan, S., & Wang, X. (2018). Joint decision of online retail pricing and ordering for resale of returned goods. Systems Engineering Theory and Practice, 38(1), 113–121. https://doi.org/10.12011/1000-6788(2018)01-0113-09
   Google Scholar
• Feng, Y., Wu, Q., & Yu, Y. (2014). Study on coordination mechanism of fresh agricultural products supply chain considering physical loss and value loss. Logistics Technology, 33(11), 282–286. https://doi.org/10.3969/j.issn.1005-152X.2014.06.089
   Google Scholar
• Fisher, M., Gallino, S., & Li, J. (2018). Competition-based dynamic pricing in online retailing: A methodology validated with field experiments. Management Science, 64(6), 2496–2514. https://doi.org/10.1287/mnsc.2017.2753
   Web of Science ®Google Scholar
• Herbon, A., Levner, E., & Cheng, T. C. E. (2014). Perishable inventory management with dynamic pricing using time–temperature indicators linked to automatic detecting devices. International Journal of Production Economics, 147, 605–613. https://doi.org/10.1016/j.ijpe.2013.07.021
   Web of Science ®Google Scholar
• Hu, P., Lu, Y., & Song, M. (2019). Joint pricing and inventory control with fixed and convex/concave variable production costs. Production and Operations Management, 28(4), 847–877. https://doi.org/10.1111/poms.12950
   Web of Science ®Google Scholar
• Hu, P., Shum, S., & Yu, M. (2016). Joint inventory and markdown management for perishable goods with strategic consumer behavior. Operations Research, 64(1), 118–134. https://doi.org/10.1287/opre.2015.1439
   Web of Science ®Google Scholar
• Liu, Y., Wang, L., Feng, L., & Shi, M. Y. (2015). New exploration of reducing agricultural prices–constructing e-commerce model of fresh agricultural products. Modern Management Science, 03, 112–114.
   Google Scholar
• Li, S., Zhang, J., & Tang, W. (2015). Joint dynamic pricing and inventory control policy for a stochastic inventory system with perishable products. International Journal of Production Research, 53(10), 2937–2950. https://doi.org/10.1080/00207543.2014.961206
   Web of Science ®Google Scholar
• Lu, L., Zhang, J., & Tang, W. (2016). Optimal dynamic pricing and replenishment policy for perishable items with inventory-level-dependent demand. International Journal of Systems Science, 47(6), 1480–1494. https://doi.org/10.1080/00207721.2014.938784
   Web of Science ®Google Scholar
• Meng, Q., Han, X., & Yu, D. (2010). An e-commerce dynamic pricing strategy for C2C and B2C modes [Paper presentation]. 2010 2nd IEEE International Conference on Information Management and Engineering, pp. 467–470. https://doi.org/10.1109/ICIME.2010.5477765
   Google Scholar
• San-José, L. A., Sicilia, J., & García-Laguna, J. (2015). Analysis of an EOQ inventory model with partial backordering and non-linear unit holding cost. Omega, 54, 147–157. https://doi.org/10.1016/j.omega.2015.01.007
   Web of Science ®Google Scholar
• Shi, L. (2014). Research on customers’ shopping channel choice behavior in the omni-channel era. Contemporary Finance and Economics, 02, 69–78. https://doi.org/10.13676/j.cnki.cn36-1030/f.2014.02.008
   Google Scholar
• Shum, S., Shilu Tong, S., & Xiao, T. (2017). Uncertain cost reduction when selling to strategic customers. Management Science: Journal of the Institute of Management Sciences, 63(3), 843–860. https://doi.org/10.1287/mnsc.2015.2355
   Google Scholar
• Tang, Y., Fan, T., & Liu, S. (2018). Pricing and inventory decision of fresh agricultural product considering strategic consumers. China Management Science, 26(11), 105–113. https://doi.org/10.16381/j.cnki.issn1003-207x.2018.11.011
   Google Scholar
• Tripathi, R. P., & Tomar, S. S. (2015). Optimal order policy for deteriorating items with time-dependent demand in response to temporary price discount linked to order quantity. International Journal of Mathematical Analysis, 9, 1095–1109. https://doi.org/10.12988/ijma.2015.5235
   Google Scholar
• Wang, C. (2009). Dynamic pricing of seasonal products and integrated optimization of order volume based on the degree of decay. Journal of Operations Research, 13(04), 71–82. https://doi.org/10.15960/j.cnki.iss.1007-6093.2009.04.014
   Google Scholar
• Wang, L., & Dan, B. (2014). Research on fresh agricultural products preservation and pricing strategies based on consumer choice behavior. Journal of Management, 11(03), 449–454. https://doi.org/10.3969/j.issn.1672-884x.2014.03.020
   Google Scholar
• Yao, Z., & Zhang, L. (2013). Considering pricing and ordering strategies of online enterprises when customers return goods. Journal of Management Science, 16(6), 10–21. https://doi.org/10.3969/j.issn.1007-9807.2013.06.002
   Google Scholar
• Zhang, L., & Zhang, X. (2011). Study on the impact of external shocks on the price fluctuation of agricultural products in China: From the perspective of agricultural industrial chain. Management World, 01, 71–81. https://doi.org/10.19744/j.cnki.11-1235/f.2011.01.010
   Google Scholar