Open Access
Issue |
RAIRO-Oper. Res.
Volume 56, Number 4, July-August 2022
|
|
---|---|---|
Page(s) | 3097 - 3115 | |
DOI | https://doi.org/10.1051/ro/2022122 | |
Published online | 31 August 2022 |
- S. Banerjee, Effect of product category on promotional choice: comparative study of discounts and freebies. Manag. Res. News 32 (2009) 120–131. [CrossRef] [Google Scholar]
- G.S. Cai, Z.G. Zhang and M. Zhang, Game theoretical perspectives on dual-channel supply chain competition with price discounts and pricing schemes. Int. J. Prod. Res. 117 (2009) 80–96. [Google Scholar]
- K.B. Chen, M.L. Feng and L. Yang, Information sharing for competing supply chains with demand disruption. RAIRO-Oper. Res. 51 (2017) 779–804. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- F. Gao and X.M. Su, Online and offline information for omnichannel retailing. Manuf. Serv. Oper. Manage. 19 (2017) 84–98. [Google Scholar]
- L. Gao, L. Guo and A. Orsdemir, Dual-channel distribution: the case for cost information asymmetry. Prod. Oper. Manag. 30 (2021) 494–521. [CrossRef] [Google Scholar]
- R. Hou, W.J. Li, X.G. Lin and Y. Zhao, Impact of quality decisions on information sharing with supplier encroachment. RAIRO-Oper. Res. 56 (2022) 145–164. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- K.L. Huang, C.W. Kuo and H.J. Shih, Advance selling with freebies and limited production capacity. Omega 73 (2017) 18–28. [CrossRef] [Google Scholar]
- S. Huang, X. Guan and Y.J. Chen, Retailer information sharing with supplier encroachment. Prod. Oper. Manag. 27 (2018) 1133–1147. [CrossRef] [Google Scholar]
- Y.T. Huang, B.R. Zheng and Z.J. Wang, The value of information sharing in a dual-channel closed-loop supply chain. RAIRO-Oper. Res. 55 (2021) 2001–2022. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- C.Y. Ji and X.X. Liu, Design of risk sharing and coordination mechanism in supply chain under demand and supply uncertainty. RAIRO-Oper. Res. 56 (2022) 123–143. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- B.J. Jiang, K. Sudhir and T.X. Zou, Effects of cost-information transparency on intertemporal price discrimination. Prod. Oper. Manag. 30 (2021) 390–401. [CrossRef] [Google Scholar]
- L.C. Johnsen, G. Voigt and J. Weimann, The effect of communication media on information sharing in supply chains. Prod. Oper. Manag. 29 (2020) 705–724. [CrossRef] [Google Scholar]
- M. Khouja, S. Park and J. Zhou, A free gift card alternative to price discounts in the newsvendor problem. Omega 41 (2013) 665–678. [CrossRef] [Google Scholar]
- H. Kurata, D.Q. Yao and J.J. Liu, Pricing policies under direct vs. Indirect channel competition and national vs. Store brand competition. Eur. J. Oper. Res. 180 (2007) 262–281. [CrossRef] [Google Scholar]
- L. Li, Cournot oligopoly with information sharing. RAND J. Econ. 16 (1985) 521–536. [CrossRef] [Google Scholar]
- Z.B. Lin, Manufacturer rebate in green supply chain with information asymmetry. INFOR 58 (2020) 723–737. [Google Scholar]
- H.H. Liu and H.Y. Chou, The selection of freebies and the preference for freebie promotions-a perspective on item characteristics. J. Behav. Decis. Making 30 (2017) 420–434. [CrossRef] [Google Scholar]
- T. Montaner, L.D. Chernatony and I. Buil, Consumer response to gift promotions. J. Prod. Brand Manag. 20 (2011) 101–110. [CrossRef] [Google Scholar]
- S.K. Mukhopadhyay, X.H. Yue and X.M. Zhu, A stackelberg model of pricing of complementary goods under information asymmetry. Int. J. Prod. Res. 134 (2011) 424–433. [Google Scholar]
- B. Pal and A. Sarkar, Optimal strategies of a dual-channel green supply chain with recycling under retailer promotional effort. RAIRO-Oper. Res. 55 (2021) 415–431. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
- M. Palazn and E. Delgado, The moderating role of price consciousness on the effectiveness of price discounts and premium promotions. J. Prod. Brand Manag. 18 (2009) 306–312. [CrossRef] [Google Scholar]
- S. Sarkar, S. Tiwari, H.M. Wee and B.C. Giri, Channel coordination with price discount mechanism under price-sensitive market demand. Int. Trans. Oper. Res. 27 (2020) 2509–2533. [CrossRef] [MathSciNet] [Google Scholar]
- W.X. Shang, A.Y. Ha and S.L. Tong, Information sharing in a supply chain with a common retailer. Mark. Sci. 62 (2016) 245–263. [Google Scholar]
- L.S. Shao, X.L. Wu and F.Q. Zhang, Sourcing competition under cost uncertainty and information asymmetry. Prod. Oper. Manag. 29 (2020) 447–461. [CrossRef] [Google Scholar]
- D. Sheehan, D.M. Hardesty, A.H. Ziegler and H.P. Chen, Consumer reactions to price discounts across online shopping experiences. J. Retail. Consum. Serv 51 (2019) 129–138. [CrossRef] [Google Scholar]
- M. Sun and R.K. Tyagi, Product fit uncertainty and information provision in a distribution channel. Prod. Oper. Manag. 29 (2020) 2381–2402. [CrossRef] [Google Scholar]
- Y.C. Tsao, H.L. Fan, L.W. Liao, T.L. Vu and P.L. Lee, Two-level promotion and ordering policy in a supply chain. RAIRO-Oper. Res. 55 (2021) S119–S145. [CrossRef] [EDP Sciences] [Google Scholar]
- J.C. Wang, L. Yang, Y.Y. Wang and Z.H. Wang, Optimal pricing contracts and level of information asymmetry in a supply chain. Int. Trans. Oper. Res. 25 (2018) 1583–1610. [CrossRef] [MathSciNet] [Google Scholar]
- L. Yang, G.Y. Wang and C.X. Ke, Remanufacturing and promotion in dual-channel supply chains under cap-and-trade regulation. J. Clean. Prod. 204 (2018) 939–957. [CrossRef] [Google Scholar]
- R. Zhang, B. Liu and W.L. Wang, Pricing decisions in a dual channels system with different power structures. Econ. Model. 29 (2012) 523–533. [Google Scholar]
- M.S. Zhou, B. Dan, S.X. Ma and X.M. Zhang, Supply chain coordination with information sharing: the informational advantage of GPOs. Eur. J. Oper. Res. 256 (2017) 785–802. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.