Open Access
RAIRO-Oper. Res.
Volume 57, Number 5, September-October 2023
Page(s) 2331 - 2362
Published online 19 September 2023
  • V. Abhishek, K. Jerath and Z.J. Zhang, Agency selling or reselling channel structures in electronic retailing. Manage. Sci. 62 (2016) 2259–2280. [CrossRef] [Google Scholar]
  • A. Afuah, Are network effects really all about size the role of structure and conduct. Strateg. Manage. J. 34 (2013) 257–273. [CrossRef] [Google Scholar]
  • K.L. Ailawadi and B. Harlam, An empirical analysis of the determinants of retail margins: The role of store-brand share. J. Mark. 68 (2004) 147–165. [CrossRef] [Google Scholar]
  • M.S. Alshura, A. Zabadi and M. Abughazaleh, Big data in marketing arena. Big opportunity, big challenge, and research trends: an integrated view. Manage. Econ. Rev. 3 (2018) 75–84. [CrossRef] [Google Scholar]
  • N. Amrouche and G. Zaccour, Shelf-space allocation of national and private brands. Eur. J. Oper. Res. 180 (2007) 648–663. [CrossRef] [Google Scholar]
  • N. Amrouche and R. Yan, Implementing online store for national brand competing against private label. J. Bus. Res. 65 (2012) 325–332. [CrossRef] [Google Scholar]
  • N. Amrouche and R. Yan, Aggressive or partnership strategy: Which choice is better for the national brand? Int. J. Prod. Econ. 166 (2015) 50–63. [CrossRef] [Google Scholar]
  • P. Assarzadegan and S.R. Hejazi, A game theoretic approach for analyzing the competition between national and store brands by considering store loyalty. J. Retail. Consum. Serv. 60 (2021) 102449. [CrossRef] [Google Scholar]
  • Y. Bakos and E. Katsamakas, Design and ownership of two-sided networks: Implications for Internet platforms. J. Manage. Inform. Syst. 25 (2008) 171–202. [CrossRef] [Google Scholar]
  • G. Balasubramanian and A.P.P. Maruthasalam, Substitution effect of retailer store brand and manufacturer encroachment. Int. J. Prod. Econ. 239 (2021) 108208. [CrossRef] [Google Scholar]
  • S. Braverman, Global review of data-driven marketing and advertising. J. Direct Data Digit. Mark. Pract. 16 (2015) 181–183. [CrossRef] [Google Scholar]
  • D. Buhalis and K. Volchek, Bridging marketing theory and big data analytics: The taxonomy of marketing attribution. Int. J. Inf. Manage. 56 (2021) 102253. [CrossRef] [Google Scholar]
  • G. Cao, N. Tian and C. Blankson, Big data, marketing analytics, and firm marketing capabilities. J. Comput. Inform. Syst. 62 (2022) 442–451. [Google Scholar]
  • J.P. Caulkins, G. Feichtinger, D. Grass, R.F. Hartl, P.M. Kort and A. Seidl, Interaction of pricing, advertising and experience quality: A dynamic analysis. Eur. J. Oper. Res. 256 (2017) 877–885. [CrossRef] [Google Scholar]
  • H. Cheng, Platform empowerment to promote the integration and development of digital economy and real economy (, (2021) in Chinese. [Google Scholar]
  • R. Cheng, Y. Duan, J. Zhang and H. Ke, Impacts of store-brand introduction on a multiple-echelon supply chain. Eur. J. Oper. Res. 292 (2021) 652–662. [CrossRef] [Google Scholar]
  • P.K. Chintagunta, A. Bonfrer and I. Song, Investigating the effects of store-brand introduction on retailer demand and pricing behavior. Manage. Sci. 48 (2002) 1242–1267. [CrossRef] [Google Scholar]
  • C. Choe, S. King and N. Matsushima, Pricing with cookies: Behavior-based price discrimination and spatial competition. Manage. Sci. 64 (2018) 5669–5687. [CrossRef] [Google Scholar]
  • S.C. Choi and A.T. Coughlan, Private label positioning: Quality versus feature differentiation from the national brand. J. Retail. 82 (2006) 79–93. [CrossRef] [Google Scholar]
  • T.M. Choi, S.W. Wallace and Y. Wang, Big data analytics in operations management. Prod. Oper. Manage. 27 (2018) 1868–1883. [CrossRef] [Google Scholar]
  • J. Chu and P. Manchanda, Quantifying cross and direct network effects in online consumer-to-consumer platforms. Mark. Sci. 35 (2016) 870–893. [CrossRef] [Google Scholar]
  • H. Chung and E. Lee, Store brand quality and retailer’s product line design. J. Retail. 93 (2017) 527–540. [CrossRef] [Google Scholar]
  • M.C. Cohen, Big data and service operations. Prod. Oper. Manage. 27 (2018) 1709–1723. [CrossRef] [Google Scholar]
  • Q. Cui, C.H. Chiu, X. Dai and Z. Li, Store brand introduction in a two-echelon logistics system with a risk-averse retailer. Transp. Res. Part E: Logist. Transp. Rev. 90 (2016) 69–89. [CrossRef] [Google Scholar]
  • S.K. Dhar and S.J. Hoch, Why store brand penetration varies by retailer. Mark. Sci. 16 (1997) 208–227. [CrossRef] [Google Scholar]
  • DSB.CN, E-commerce platform accelerates the layout of self-operated business and store brand has become a new track ( (2018) in Chinese. [Google Scholar]
  • eMarketer, Global Ecommerce Forecast 2022 ( (2022). [Google Scholar]
  • eMarketer, Why consumers pivot toward private-label brands ( (2022). [Google Scholar]
  • A. Ghoshal, S. Kumar and V. Mookerjee, Dilemma of data sharing alliance: when do competing personalizing and nonpersonalizing firms share data. Prod. Oper. Manage. 29 (2020) 1918–1936. [CrossRef] [Google Scholar]
  • A. Groznik and H.S. Heese, Supply chain interactions due to store-brand introductions: The impact of retail competition. Eur. J. Oper. Res. 203 (2010) 575–582. [CrossRef] [Google Scholar]
  • X. Guo, S. Zheng, Y. Yu and F. Zhang, Optimal bundling strategy for a retail platform under agency selling. Prod. Oper. Manage. 30 (2021) 2273–2284. [CrossRef] [Google Scholar]
  • K. Hansen, V. Singh and P. Chintagunta, Understanding store-brand purchase behavior across categories. Mark. Sci. 25 (2006) 75–90. [CrossRef] [Google Scholar]
  • R. Hara and N. Matsubayashi, Premium store brand: Product development collaboration between retailers and national brand manufacturers. Int. J. Prod. Econ. 185 (2017) 128–138. [CrossRef] [Google Scholar]
  • W.D. Hoyer and S.P. Brown, Effects of brand awareness on choice for a common, repeat-purchase product. J. Consum. Res. 17 (1990) 141–148. [CrossRef] [Google Scholar]
  • Y. Jin, X. Wu and Q. Hu, Interaction between channel strategy and store brand decisions. Eur. J. Oper. Res. 256 (2017) 911–923. [CrossRef] [Google Scholar]
  • S. Karray and G. Martn-Herrn, Fighting store brands through the strategic timing of pricing and advertising decisions. Eur. J. Oper. Res. 275 (2019) 635–647. [CrossRef] [Google Scholar]
  • C. Katarina, M. Zvonko and S. Tena, Challenges of application of the big data in marketing: case study croatia. WSEAS Trans. Bus. Econ. 15 (2018) 162–170. [Google Scholar]
  • C.W. Kuo and S.J.S. Yang, The role of store brand positioning for appropriating supply chain profit under shelf space allocation. Eur. J. Oper. Res. 231 (2013) 88–97. [CrossRef] [MathSciNet] [Google Scholar]
  • W. Li and J. Chen, Pricing and quality competition in a brand-differentiated supply chain. Int. J. Prod. Econ. 202 (2018) 97–108. [Google Scholar]
  • H. Li, K. Leng, Q. Qing and S.X. Zhu, Strategic interplay between store brand introduction and online direct channel introduction. Transp. Res. Part E: Logist. Transp. Rev. 118 (2018) 272–290. [CrossRef] [Google Scholar]
  • G. Li, X. Zhang, S.M. Chiu, M. Liu and S.P. Sethi, Online market entry and channel sharing strategy with direct selling diseconomies in the sharing economy era. Int. J. Prod. Econ. 218 (2019) 135–147. [CrossRef] [Google Scholar]
  • D. Li, Y. Liu, J. Hu and X. Chen, Private-brand introduction and investment effect on online platform-based supply chains. Transp. Res. Part E: Logist. Transp. Rev. 155 (2021) 102494. [CrossRef] [Google Scholar]
  • P. Li, D. Tan, G. Wang, H. Wei and J. Wu, Retailer’s vertical integration strategies under different business modes. Eur. J. Oper. Res. 294 (2021) 965–975. [CrossRef] [Google Scholar]
  • B. Liao, C.A. Yano and M. Trivedi, Optimizing store-brand quality: Impact of choice of producer and channel price leadership. Prod. Oper. Manage. 29 (2020) 118–137. [CrossRef] [Google Scholar]
  • J. Lies, Marketing intelligence and big data: Digital marketing techniques on their way to becoming social engineering techniques in marketing. Inter. J. Int. Mult. Art. Int. 5 (2019) 134. [Google Scholar]
  • G. Liu, J. Zhang and W. Tang, Strategic transfer pricing in a marketing–operations interface with quality level and advertising dependent goodwill. Omega 56 (2015) 1–15. [CrossRef] [Google Scholar]
  • W. Liu, X. Yan, X. Li and W. Wei, The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain. Transp. Res. Part E: Logist. Transp. Rev. 136 (2020) 101914. [CrossRef] [Google Scholar]
  • B. Liu, X. Guo, Y. Yu and L. Tian, Manufacturer’s contract choice facing competing downstream online retail platforms. Int. J. Prod. Res. 59 (2021) 3017–3041. [CrossRef] [Google Scholar]
  • F. Lu, J. Zhang and W. Tang, Wholesale price contract versus consignment contract in a supply chain considering dynamic advertising. Int. Trans. Oper. Res. 26 (2019) 1977–2003. [CrossRef] [MathSciNet] [Google Scholar]
  • P. Marketplace, Marketplaces Year in Review 2021 ( (2022). [Google Scholar]
  • Y. Miu, ByteDance made another e-commerce app ( (2021) in Chinese. [Google Scholar]
  • A. Nalca, T. Boyaci and S. Ray, Brand positioning and consumer taste information. Eur. J. Oper. Res. 268 (2018) 555–568. [CrossRef] [Google Scholar]
  • S. Nasser, D. Turcic and C. Narasimhan, National brand’s response to store brands: throw in the towel or fight back. Mark. Sci. 32 (2013) 591–608. [CrossRef] [Google Scholar]
  • M. Nerlove and K.J. Arrow, Optimal advertising policy under dynamic conditions. Economica 29 (1962) 129–142. [CrossRef] [Google Scholar]
  • NRF, How working from home is changing consumer behavior ( (2022). [Google Scholar]
  • X. Pu, S. Sun and J. Shao, Direct selling, reselling, or agency selling Manufacturer’s online distribution strategies and their impact. Int. J. Electron. Comm. 24 (2020) 232–254. [CrossRef] [Google Scholar]
  • J.S. Raju, R. Sethuraman and S.K. Dhar, The introduction and performance of store brands. Manage. Sci. 41 (1995) 957–978. [Google Scholar]
  • J. Ru, R. Shi and J. Zhang, Does a store brand always hurt the manufacturer of a competing national brand. Prod. Oper. Manage. 24 (2015) 272–286. [CrossRef] [Google Scholar]
  • J. Saidali, H. Rahich, Y. Tabaa and A. Medouri, The combination between big data and marketing strategies to gain valuable business insights for better production success. Proc. Manu. 32 (2019) 1017–1023. [Google Scholar]
  • S. Sayman, S.J. Hoch and J.S. Raju, Positioning of store brands. Mark. Sci. 21 (2002) 378–397. [CrossRef] [Google Scholar]
  • S. Sayyad, A. Mohammed, V. Shaga, A. Kumar and K. Vengatesan, Digital marketing framework strategies through big data. In: Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018). Springer International Publishing (2018) 1065–1073. [Google Scholar]
  • F. Scott Morton and F. Zettelmeyer, The strategic positioning of store brands in retailerCmanufacturer negotiations. Rev. Ind. Organ. 24 (2004) 161–194. [CrossRef] [Google Scholar]
  • H. Seller, Top10 e-commerce platform list of Southeast Asia visits released ( (2021) in Chinese. [Google Scholar]
  • Y. Shen, S.P. Willems and Y. Dai, Channel selection and contracting in the presence of a retail platform. Prod. Oper. Manage. 28 (2019) 1173–1185. [Google Scholar]
  • C.L. Shi and W. Geng, To introduce a store brand or not: Roles of market information in supply chains. Transp. Res. Part E: Logist. Transp. Rev. 150 (2021) 102334. [CrossRef] [Google Scholar]
  • A. Ter Braak, M.G. Dekimpe and I. Geyskens, Retailer private-label margins: The role of supplier and quality-tier differentiation. J. Mark. 77 (2013) 86–103. [CrossRef] [Google Scholar]
  • L. Wang, J. Chen and H. Song, Manufacturer’s channel strategy with retailer’s store brand. Int. J. Prod. Res. 59 (2021) 3042–3061. [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]
  • J. Wei, J. Lu and J. Zhao, Interactions of competing manufacturers leader-follower relationship and sales format on online platforms. Eur. J. Oper. Res. 280 (2020) 508–522. [CrossRef] [Google Scholar]
  • L.T. Wright, R. Robin, M. Stone and D.E. Aravopoulou, Adoption of big data technology for innovation in B2B marketing. J. Bus. Bus. Mark. 26 (2019) 281–293. [CrossRef] [Google Scholar]
  • Z. Xiang and M. Xu, Dynamic game strategies of a two-stage remanufacturing closed-loop supply chain considering Big Data marketing, technological innovation and overconfidence. Comput. Ind. Eng. 145 (2020) 106538. [CrossRef] [Google Scholar]
  • N. Yu, S. Wang and Z. Liu, Managing brand competition with consumer fairness concern via manufacturer incentive. Eur. J. Oper. Res. 300 (2022) 661–675. [CrossRef] [Google Scholar]
  • Y. Zennyo, Strategic contracting and hybrid use of agency and wholesale contracts in e-commerce platforms. Eur. J. Oper. Res. 281 (2020) 231–239. [CrossRef] [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]
  • X. Zhang and W. Hou, The impacts of e-tailer’s private label on the sales mode selection: From the perspectives of economic and environmental sustainability. Eur. J. Oper. Res. 296 (2022) 601–614. [CrossRef] [Google Scholar]
  • J. Zhang, Q. Cao and X. He, Contract and product quality in platform selling. Eur. J. Oper. Res. 272 (2019) 928–944. [CrossRef] [Google Scholar]
  • Z. Zhang, H. Song, X. Gu, V. Shi and J. Zhu, How to compete with a supply chain partner: Retailer’s store brand vs. manufacturer’s encroachment. Omega 103 (2021) 102412. [CrossRef] [Google Scholar]
  • C. Zhou, M. Leng, Z. Liu, X. Cui and J. Yu, The impact of recommender systems and pricing strategies on brand competition and consumer search. Electron. Commer. Res. Appl. 53 (2022) 101144. [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.