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Dynamic Targeted Pricing in B2B Relationships

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Cited by:

  1. Xi Chen & Zachary Owen & Clark Pixton & David Simchi-Levi, 2022. "A Statistical Learning Approach to Personalization in Revenue Management," Management Science, INFORMS, vol. 68(3), pages 1923-1937, March.
  2. Amirali Kani & Wayne S. DeSarbo & Duncan K. H. Fong, 2018. "A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 162-177, December.
  3. Sun, Libo & Jiao, Xiaoting & Guo, Xiaolong & Yu, Yugang, 2022. "Pricing policies in dual distribution channels: The reference effect of official prices," European Journal of Operational Research, Elsevier, vol. 296(1), pages 146-157.
  4. Pyper, Keith & Doherty, Anne Marie, 2022. "Employing brand governance mechanisms with export channel partners: What are the performance consequences and contingent effects?," International Business Review, Elsevier, vol. 31(5).
  5. Watson, George F. & Worm, Stefan & Palmatier, Robert W. & Ganesan, Shankar, 2015. "The Evolution of Marketing Channels: Trends and Research Directions," Journal of Retailing, Elsevier, vol. 91(4), pages 546-568.
  6. Eva Ascarza & Oded Netzer & Bruce G. S. Hardie, 2018. "Some Customers Would Rather Leave Without Saying Goodbye," Marketing Science, INFORMS, vol. 37(1), pages 54-77, January.
  7. Xingyue Zhang & Yuliang Yao, 2020. "How Much is Too Much? The Effect of Offline Call Intensity on Online Purchase of Digital Services," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 509-525, March.
  8. Pyper, Keith & Marie Doherty, Anne & Gounaris, Spiros & Wilson, Alan, 2022. "A contingency-based approach to the nexus between international strategic brand management and export performance," Journal of Business Research, Elsevier, vol. 148(C), pages 472-488.
  9. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
  10. Huashuai Qu & Ilya O. Ryzhov & Michael C. Fu & Eric Bergerson & Megan Kurka & Ludek Kopacek, 2020. "Learning Demand Curves in B2B Pricing: A New Framework and Case Study," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1287-1306, May.
  11. Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
  12. Ziliang Deng & Peter W Liesch & Zeyu Wang, 2021. "Deceptive signaling on globalized digital platforms: Institutional hypnosis and firm internationalization," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(6), pages 1096-1120, August.
  13. Ferguson, Jodie L. & Brown, Brian P. & Johnston, Wesley J., 2017. "Partitioned pricing, price fairness perceptions, and the moderating effects of brand relationships in SME business markets," Journal of Business Research, Elsevier, vol. 72(C), pages 80-92.
  14. Chang, Chun-Wei & Zhang, Jonathan Z., 2016. "The Effects of Channel Experiences and Direct Marketing on Customer Retention in Multichannel Settings," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 77-90.
  15. Ritwik Raj & Mark H. Karwan & Chase Murray & Lei Sun, 2022. "Itemized pricing in B2B bundles with diminishing reservation prices and loss averse customers," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 375-392, August.
  16. Wedad Elmaghraby & Wolfgang Jank & Shu Zhang & Itir Z. Karaesmen, 2015. "Sales Force Behavior, Pricing Information, and Pricing Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 495-510, October.
  17. Avanzi, Benjamin & Taylor, Greg & Wong, Bernard & Xian, Alan, 2021. "Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework," European Journal of Operational Research, Elsevier, vol. 290(1), pages 177-195.
  18. Johannes Habel & Sascha Alavi & Nicolas Heinitz, 2023. "A theory of predictive sales analytics adoption," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 34-54, June.
  19. Chen, Jialie & Rao, Vithala R., 2023. "Evaluating strategies for promoting retail mobile channel using a hidden Markov model," Journal of Retailing, Elsevier, vol. 99(1), pages 66-84.
  20. Ham, Sung H. & He, Chuan & Zhang, Dan, 2022. "The promise and peril of dynamic targeted pricing," International Journal of Research in Marketing, Elsevier, vol. 39(4), pages 1150-1165.
  21. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
  22. Spreitzenbarth, Jan & Stuckenschmidt, Heiner & Bode, Christoph, 2021. "The state of artificial intelligence: Procurement versus sales and marketing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 223-243, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  23. Fedorenko, Ivan & Berthon, Pierre & Edelman, Linda, 2023. "Top secret: Integrating 20 years of research on secrecy," Technovation, Elsevier, vol. 123(C).
  24. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
  25. Darko Pantelic & Florian Pinter, 2016. "Intercultural Know-how and Understanding: The Basis for Negotiations with Partners from the US," Business Perspectives and Research, , vol. 4(2), pages 145-160, July.
  26. Peter Ebbes & Oded Netzer, 2022. "Using Social Network Activity Data to Identify and Target Job Seekers," Management Science, INFORMS, vol. 68(4), pages 3026-3046, April.
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