Open Access
Issue
RAIRO-Oper. Res.
Volume 56, Number 1, January-February 2022
Page(s) 145 - 164
DOI https://doi.org/10.1051/ro/2021184
Published online 07 February 2022
  • A. Arya, B. Mittendorf and D. Sappington, The bright side of supplier encroachment. Mark. Sci. 26 (2007) 651–659. [CrossRef] [Google Scholar]
  • R.D. Banker, I. Khosla and K.K. Sinha, Quality and competition. Manag. Sci. 44 (1998) 1179–1192. [CrossRef] [Google Scholar]
  • C.B. Bucklin, P.A. Thomas-Graham and E.A. Webster, Channel conflict: When is it dangerous?. McKinsey Quarterly 3 (1997) 36–43. [Google Scholar]
  • P. Chen, B. Li and H. Huang, Decision policies on players? different risk combination under supplier encroachment. RAIRO-Oper. Res. 54 (2020) 1057–1075. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • W.-y.K. Chiang, D. Chhajed and J.D. Hess, Direct Marketing, Indirect Profits: A Strategic Analysis of Dual-Channel Supply-Chain Design. Manag. Sci. 49 (2003) 1–20. [CrossRef] [Google Scholar]
  • H. Guan, H. Gurnani, X. Geng and Y. Luo, Strategic inventory and supplier encroachment. Manuf. Serv. Oper. Manag. 21 (2018) 536–555. [Google Scholar]
  • X. Guan, L. Baoshan and Y. Chen, Inducing supply chain transparency through supplier encroachment. Prod. Oper. Manag. 29 (2019) 725–749. [Google Scholar]
  • X. Guan, Y. Wang, Z. Yi and Y. Chen, Inducing Consumer Online Reviews Via Disclosure. Prod. Oper. Manag. 29 (2020) 1956–1971. [CrossRef] [Google Scholar]
  • L. Guo, The benef its of downstream information acquisition. Mark. Sci. 28 (2008) 457–471. [Google Scholar]
  • A. Ha, X. Long and J. Nasiry, Quality in supply chain encroachment. Manuf. Serv. Oper. Manag. 18 (2016) 280–298. [CrossRef] [Google Scholar]
  • A. Ha, Q. Tian and S. Tong, Information sharing in competing supply chains with production cost reduction. Manuf. Serv. Oper. Manag. 19 (2017) 1–17. [CrossRef] [Google Scholar]
  • K. Heron, Try the red: Napa learns to sell (2010). [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]
  • S. Huang, S. Chen and X. Guan, Retailer information sharing under endogenous channel structure with investment spillovers. Comput. Ind. Eng. (2020) 106346. [CrossRef] [Google Scholar]
  • B. Huo, M.Z.U. Haq and M. Gu, The impact of information sharing on supply chain learning and flexibility performance. Int. J. Prod. Res. 0 (2020) 1–24. [Google Scholar]
  • G. Iyer, C. Narasimhan and R. Niraj, Information and inventory in distribution channels. Manag. Sci. 53 (2007) 1551–1561. [CrossRef] [Google Scholar]
  • K. Jerath, S.-H. Kim and R. Swinney, Product Quality in a Distribution Channel with Inventory Risk. Mark. Sci. 36 (2017) 747–761. [CrossRef] [Google Scholar]
  • B. Jiang and B. Yang, Quality and pricing decisions in a market with consumer information sharing. Manag. Sci. 65 (2018) 272–285. [Google Scholar]
  • H. Lee, K. So and C. Tang, The value of information sharing in a two-level supply chain. Manag. Sci. 46 (2000) 626–643. [CrossRef] [Google Scholar]
  • C.H. Lee and B.-D. Rhee, T.C.E. Cheng, Quality uncertainty and quality-compensation contract for supply chain coordination. Eur. J. Oper. Res. 228 (2013) 582–591. [CrossRef] [Google Scholar]
  • H. Lei, J. Wang, L. Shao and H. Yang, Ex post demand information sharing between differentiated suppliers and a common retailer. Int. J. Prod. Res. 58 (2020) 703–728. [CrossRef] [MathSciNet] [Google Scholar]
  • L. Li and H. Zhang, Confidentiality and information sharing in supply chain coordination. Manag. Sci. 54 (2008) 1467–1481. [CrossRef] [MathSciNet] [Google Scholar]
  • X. Li and X. Qi, On pricing and quality decisions with risk aversion. Omega (2019) 102118. [Google Scholar]
  • Z. Li, S. Gilbert and G. Lai, Supplier encroachment under ssymmetric information. Manag. Sci. 60 (2014) 449–462. [CrossRef] [Google Scholar]
  • Z. Li, S.M. Gilbert and G. Lai, Supplier Encroachment as an Enhancement or a Hindrance to Nonlinear Pricing. Prod. Oper. Manag. 24 (2015) 89–109. [CrossRef] [Google Scholar]
  • X. Lin, Y.-W. Zhou and R. Hou, Impact of a ?Buy-online-and-pickup-in-store? Channel on Price and Quality Decisions in a Supply Chain. Eur. J. Oper. Res. 294 (2021) 922–935. [CrossRef] [Google Scholar]
  • Y. Liu and Z. Zhang, The benefits of personalized pricing in a channel. Mark. Sci. 25 (2006) 97–105. [Google Scholar]
  • Z. Liu, D.J. Zhang and F. Zhang, Information Sharing on Retail Platforms. Manuf. Serv. Oper. Manag. 23 (2021) 606–619. [Google Scholar]
  • J. Ma and Y. Hong, Research on manufacturer encroachment with advertising and design of incentive advertising: A game-theoretic approach. RAIRO-Oper. Res. 55 (2021) S1261–S1286. [CrossRef] [EDP Sciences] [Google Scholar]
  • N. Matsubayashi, Price and quality competition: The effect of differentiation and vertical integration. Eur. J. Oper. Res. 180 (2007) 907–921. [CrossRef] [Google Scholar]
  • V.K. Mishra, K. Natarajan, D. Padmanabhan, C.P. Teo and X. Li, On theoretical and empirical aspects of marginal distribution choice models. Manag. Sci. 60 (2014) 1511–1531. [CrossRef] [Google Scholar]
  • R. Niraj and C. Narasimhan, Vertical information sharing in distribution channels. SSRN Electron. J. (2004). [Google Scholar]
  • S. Ray, H. Chen, M. Bergen and D. Levy, Asymmetric wholesale pricing: Theory and evidence. Texas A&M: Mark. (Topic) 25 (2005). [Google Scholar]
  • W. Shang, A.Y. Ha and S. Tong, Information sharing in a supply chain with a common retailer. Manag. Sci. 62 (2016) 245–263. [Google Scholar]
  • N. Singh and X. Vives, Price and quantity competition in a differentiated duopoly. RAND J. Econ. 15 (1984) 546–554. [Google Scholar]
  • X. Sun, W. Tang, J. Chen, S. Li and J. Zhang, Manufacturer encroachment with production cost reduction under asymmetric information. Transp. Res. Part E: Logist. Transp. Rev. 128 (2019) 191–211. [CrossRef] [Google Scholar]
  • X. Sun, W. Tang, J. Zhang and J. Chen, The impact of quantity-based cost decline on supplier encroachment. Transp. Res. Part E: Logist. Transp. Rev. 147 (2021) 102245. [CrossRef] [Google Scholar]
  • J. Tannenbaum, Franchisees resist poaching via software, kiosks, Internet. Wall Str. J. (1995). [Google Scholar]
  • S. Wang, Q. Hu and W. Liu, Price and quality-based competition and channel structure with consumer loyalty. Eur. J. Oper. Res. 262 (2017) 563–574. [CrossRef] [Google Scholar]
  • T.-Y. Wang, Y.-L. Li, H.-T. Yang, K.-S. Chin and Z.-Q. Wang, Information sharing strategies in a hybrid-format online retailing supply chain. Int. J. Prod. Res. 59 (2021) 3133–3151. [CrossRef] [Google Scholar]
  • Y. Wei and P. Huang, Information sharing in the hybrid-format supply chain. SSRN Electron. J. (2019). [Google Scholar]
  • X. Xu, Optimal Price and Product Quality Decisions in a Distribution Channel. Manag. Sci. 55 (2009) 1347–1352. [CrossRef] [Google Scholar]
  • M. Xue, J. Zhang and G. Zhu, Quantity decision timing with spillover effect and asymmetric demand information. Transp. Res. Part E: Logist. Transp. Rev. 142 (2020) 102048. [CrossRef] [Google Scholar]
  • M. Xue and J. Zhang, Supply chain encroachment with quality decision and different power structures. RAIRO-Oper. Res. 54 (2020) 693–718. [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  • H. Zhang, Vertical Information exchange in a supply chain with duopoly retailers. Prod. Oper. Manag. 11 (2002) 531–546. [Google Scholar]
  • S. Zhang and J. Zhang, Agency selling or reselling: E-tailer information sharing with supplier offline entry. Eur. J. Oper. Res. 280 (2020) 134–151. [CrossRef] [Google Scholar]
  • J. Zhang, S. Li, S. Zhang and R. Dai, Manufacturer encroachment with quality decision under asymmetric demand information. Eur. J. Oper. Res. 273 (2019) 217–236. [Google Scholar]
  • S. Zhang, J. Zhang and G. Zhu, Retail service investing: An anti-encroachment strategy in a retailer-led supply chain. Omega 84 (2019) 212–231. [CrossRef] [PubMed] [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.