IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v17y1998i4p406-423.html
   My bibliography  Save this item

Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Bradlow, Eric T. & Gangwar, Manish & Kopalle, Praveen & Voleti, Sudhir, 2017. "The Role of Big Data and Predictive Analytics in Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 79-95.
  2. Christopher T. Conlon & Julie Holland Mortimer, 2010. "Effects of Product Availability: Experimental Evidence," NBER Working Papers 16506, National Bureau of Economic Research, Inc.
  3. Yalçın Akçay & Yunke Li & Harihara Prasad Natarajan, 2020. "Category Inventory Planning With Service Level Requirements and Dynamic Substitutions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2553-2578, November.
  4. Hongzhang Shao & Anton J. Kleywegt, 2020. "Joint Estimation of Discrete Choice Model and Arrival Rate with Unobserved Stock-out Events," Papers 2003.02313, arXiv.org.
  5. Liu, Jun & Lee, Chi-Guhn, 2007. "Evaluation of inventory policies with unidirectional substitutions," European Journal of Operational Research, Elsevier, vol. 182(1), pages 145-163, October.
  6. Ioannis Ioannou & Julie Holland Mortimer & Richard Mortimer, 2011. "The Effects Of Capacity On Sales Under Alternative Vertical Contracts," Journal of Industrial Economics, Wiley Blackwell, vol. 59(1), pages 117-154, March.
  7. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
  8. Gustavo Vulcano & Garrett van Ryzin & Richard Ratliff, 2012. "Estimating Primary Demand for Substitutable Products from Sales Transaction Data," Operations Research, INFORMS, vol. 60(2), pages 313-334, April.
  9. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.
  10. Aydinliyim, Tolga & Pangburn, Michael S. & Rabinovich, Elliot, 2017. "Inventory disclosure in online retailing," European Journal of Operational Research, Elsevier, vol. 261(1), pages 195-204.
  11. Wan, Mingchao & Huang, Yihui & Zhao, Lei & Deng, Tianhu & Fransoo, Jan C., 2018. "Demand estimation under multi-store multi-product substitution in high density traditional retail," European Journal of Operational Research, Elsevier, vol. 266(1), pages 99-111.
  12. Hyung Sup (Zack) Bhan & Eric T. Anderson, 2023. "Multiyear Impact of Backorder Delays: A Quasi-Experimental Approach," Marketing Science, INFORMS, vol. 42(2), pages 314-335, March.
  13. Antonio Rosato, 2016. "Selling substitute goods to loss-averse consumers: limited availability, bargains, and rip-offs," RAND Journal of Economics, RAND Corporation, vol. 47(3), pages 709-733, August.
  14. Li, Zhaolin & Fu, Qi (Grace), 2017. "Robust inventory management with stock-out substitution," International Journal of Production Economics, Elsevier, vol. 193(C), pages 813-826.
  15. Gheibi, Shahryar & Fay, Scott, 2021. "The impact of supply disruption risk on a retailer’s pricing and procurement strategies in the presence of a substitute product," Journal of Retailing, Elsevier, vol. 97(3), pages 359-376.
  16. Mor Armony & Erica L. Plambeck, 2005. "The Impact of Duplicate Orders on Demand Estimation and Capacity Investment," Management Science, INFORMS, vol. 51(10), pages 1505-1518, October.
  17. Vishal Gaur & Young-Hoon Park, 2007. "Asymmetric Consumer Learning and Inventory Competition," Management Science, INFORMS, vol. 53(2), pages 227-240, February.
  18. Vaagen, Hajnalka & Wallace, Stein W. & Kaut, Michal, 2011. "Modelling consumer-directed substitution," International Journal of Production Economics, Elsevier, vol. 134(2), pages 388-397, December.
  19. Narendra Agrawal & Stephen A. Smith, 2003. "Optimal retail assortments for substitutable items purchased in sets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(7), pages 793-822, October.
  20. Garrett van Ryzin & Gustavo Vulcano, 2015. "A Market Discovery Algorithm to Estimate a General Class of Nonparametric Choice Models," Management Science, INFORMS, vol. 61(2), pages 281-300, February.
  21. Christopher T. Conlon & Julie Holland Mortimer, 2013. "Demand Estimation under Incomplete Product Availability," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 1-30, November.
  22. Sandeep R. Chandukala & Yancy D. Edwards & Greg M. Allenby, 2011. "Identifying Unmet Demand," Marketing Science, INFORMS, vol. 30(1), pages 61-73, 01-02.
  23. Ching, Andrew & Kawaguchi, Kohei & Liu, Jia & Yi, Zhang, 2023. "Consumer Responses to Favorite Product Removal: Evidence from Beverage Vending Machines," SocArXiv t34qj, Center for Open Science.
  24. Christopher T. Conlon & Julie Holland Mortimer, 2021. "Efficiency and Foreclosure Effects of Vertical Rebates: Empirical Evidence," Journal of Political Economy, University of Chicago Press, vol. 129(12), pages 3357-3404.
  25. Serguei Netessine & Nils Rudi, 2003. "Centralized and Competitive Inventory Models with Demand Substitution," Operations Research, INFORMS, vol. 51(2), pages 329-335, April.
  26. Evan Fields & Carolina Osorio & Tianli Zhou, 2021. "A Data-Driven Method for Reconstructing a Distribution from a Truncated Sample with an Application to Inferring Car-Sharing Demand," Transportation Science, INFORMS, vol. 55(3), pages 616-636, May.
  27. Rajaram, Kumar & Tang, Christopher S., 2001. "The impact of product substitution on retail merchandising," European Journal of Operational Research, Elsevier, vol. 135(3), pages 582-601, December.
  28. Amr Farahat & Joonkyum Lee, 2018. "The Multiproduct Newsvendor Problem with Customer Choice," Operations Research, INFORMS, vol. 66(1), pages 123-136, January.
  29. Panos Kouvelis & Duo Shi, 2020. "Who Should Compensate the Sales Agent in a Distribution Channel?," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2437-2460, November.
  30. Tinglong Dai & Kinshuk Jerath, 2019. "Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts," Marketing Science, INFORMS, vol. 38(5), pages 852-870, September.
  31. Gah-Yi Ban, 2020. "Confidence Intervals for Data-Driven Inventory Policies with Demand Censoring," Operations Research, INFORMS, vol. 68(2), pages 309-326, March.
  32. Derhami, Shahab & Montreuil, Benoit & Bau, Guilhem, 2021. "Assessing product availability in omnichannel retail networks in the presence of on-demand inventory transshipment and product substitution," Omega, Elsevier, vol. 102(C).
  33. Wallace J. Hopp & Xiaowei Xu, 2008. "A Static Approximation for Dynamic Demand Substitution with Applications in a Competitive Market," Operations Research, INFORMS, vol. 56(3), pages 630-645, June.
  34. Mahesh Nagarajan & S. Rajagopalan, 2008. "Inventory Models for Substitutable Products: Optimal Policies and Heuristics," Management Science, INFORMS, vol. 54(8), pages 1453-1466, August.
  35. Tan, Baris & Karabati, Selcuk, 2013. "Retail inventory management with stock-out based dynamic demand substitution," International Journal of Production Economics, Elsevier, vol. 145(1), pages 78-87.
  36. David A. Matsa, 2011. "Running on Empty? Financial Leverage and Product Quality in the Supermarket Industry," American Economic Journal: Microeconomics, American Economic Association, vol. 3(1), pages 137-173, February.
  37. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
  38. Hickman, William & Mortimer, Julie Holland, 2016. "Demand Estimation with Availability Variation," SocArXiv qe69j, Center for Open Science.
  39. Monika Kukar-Kinney & Angeline Close Scheinbaum & Larry Olanrewaju Orimoloye & Jeffrey R. Carlson & Heping He, 2022. "A model of online shopping cart abandonment: evidence from e-tail clickstream data," Journal of the Academy of Marketing Science, Springer, vol. 50(5), pages 961-980, September.
  40. A. Gürhan Kök & Marshall L. Fisher, 2007. "Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application," Operations Research, INFORMS, vol. 55(6), pages 1001-1021, December.
  41. Koschat, Martin A., 2008. "Store inventory can affect demand: Empirical evidence from magazine retailing," Journal of Retailing, Elsevier, vol. 84(2), pages 165-179.
  42. Zhang, Jie & Xie, Weijun & Sarin, Subhash C., 2021. "Robust multi-product newsvendor model with uncertain demand and substitution," European Journal of Operational Research, Elsevier, vol. 293(1), pages 190-202.
  43. Chiang, Wei-yu Kevin, 2010. "Product availability in competitive and cooperative dual-channel distribution with stock-out based substitution," European Journal of Operational Research, Elsevier, vol. 200(1), pages 111-126, January.
  44. Elçin Ergin & Mehmet Gümüş & Nathan Yang, 2022. "An Empirical Analysis of Intra‐Firm Product Substitutability in Fashion Retailing," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 607-621, February.
  45. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
  46. Boxiao Chen & Xiuli Chao, 2020. "Dynamic Inventory Control with Stockout Substitution and Demand Learning," Management Science, INFORMS, vol. 66(11), pages 5108-5127, November.
  47. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.
  48. Karakul, M. & Chan, L.M.A., 2008. "Analytical and managerial implications of integrating product substitutability in the joint pricing and procurement problem," European Journal of Operational Research, Elsevier, vol. 190(1), pages 179-204, October.
  49. Patxi J. Bernales & Yongtao Guan & Harihara Prasad Natarajan & Patricia Souza Gimenez & Mario Xavier Alvarez Tajes, 2017. "Less Is More: Harnessing Product Substitution Information to Rationalize SKUs at Intcomex," Interfaces, INFORMS, vol. 47(3), pages 230-243, June.
  50. Julia Levine & Stephan Seiler, 2022. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," CESifo Working Paper Series 9889, CESifo.
  51. Marshall Fisher & Marcelo Olivares & Bradley R. Staats, 2020. "Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 170-178, January.
  52. Alok Kumar Singh & Rohit Kapoor, 2016. "Estimating Demand Using Space Elastic Demand Model for Retail Assortment Planning," Global Business Review, International Management Institute, vol. 17(3), pages 524-540, June.
  53. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
  54. Andrés Musalem & Marcelo Olivares & Eric T. Bradlow & Christian Terwiesch & Daniel Corsten, 2010. "Structural Estimation of the Effect of Out-of-Stocks," Management Science, INFORMS, vol. 56(7), pages 1180-1197, July.
  55. Bayle-Tourtoulou, Anne-Sophie & Laurent, Gilles & Macé, Sandrine, 2006. "Assesing the frequency and clauses of out-of-stock events through store scanner data," HEC Research Papers Series 830, HEC Paris.
  56. Mehmet Sekip Altug & Tolga Aydinliyim, 2016. "Counteracting Strategic Purchase Deferrals: The Impact of Online Retailers’ Return Policy Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 376-392, July.
  57. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
  58. Ulrich, Matthias & Jahnke, Hermann & Langrock, Roland & Pesch, Robert & Senge, Robin, 2021. "Distributional regression for demand forecasting in e-grocery," European Journal of Operational Research, Elsevier, vol. 294(3), pages 831-842.
  59. Huang, Yunhui & Zhang, Y. Charles, 2016. "The Out-of-Stock (OOS) Effect on Choice Shares of Available Options," Journal of Retailing, Elsevier, vol. 92(1), pages 13-24.
  60. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.
  61. Li Chen & Erica L. Plambeck, 2008. "Dynamic Inventory Management with Learning About the Demand Distribution and Substitution Probability," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 236-256, May.
  62. Bharadwaj Kadiyala & Robert Phillips & A. Serdar Şimşek & Garrett van Ryzin, 2023. "Predicting transaction outcomes under customized pricing with discretion: A structural estimation approach," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1654-1673, June.
  63. Diels, Jana Luisa & Wiebach, Nicole & Hildebrandt, Lutz, 2013. "The impact of promotions on consumer choices and preferences in out-of-stock situations," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 587-598.
  64. Marshall Fisher & Ramnath Vaidyanathan, 2014. "A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations," Management Science, INFORMS, vol. 60(10), pages 2401-2415, October.
  65. Aditya Jain & Nils Rudi & Tong Wang, 2015. "Demand Estimation and Ordering Under Censoring: Stock-Out Timing Is (Almost) All You Need," Operations Research, INFORMS, vol. 63(1), pages 134-150, February.
  66. Alain Bensoussan & Pengfei Guo, 2015. "Technical Note—Managing Nonperishable Inventories with Learning About Demand Arrival Rate Through Stockout Times," Operations Research, INFORMS, vol. 63(3), pages 602-609, June.
  67. Kirthi Kalyanam & Sharad Borle & Peter Boatwright, 2007. "Deconstructing Each Item's Category Contribution," Marketing Science, INFORMS, vol. 26(3), pages 327-341, 05-06.
  68. Amar Sapra & Jiri Chod & Aydiota n Alptekinou{g}lu & Li Chen & A. Gürhan Kök & Victor Martínez-de-Albéniz, 2004. "The MSOM Society Student Paper Competition: Extended Abstracts of 2003 Winners," Manufacturing & Service Operations Management, INFORMS, vol. 6(1), pages 92-112.
  69. Yang, Hongsuk & Schrage, Linus, 2009. "Conditions that cause risk pooling to increase inventory," European Journal of Operational Research, Elsevier, vol. 192(3), pages 837-851, February.
  70. Siddharth Mahajan & Garrett van Ryzin, 2001. "Inventory Competition Under Dynamic Consumer Choice," Operations Research, INFORMS, vol. 49(5), pages 646-657, October.
  71. Kris Johnson Ferreira & Bin Hong Alex Lee & David Simchi-Levi, 2016. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 69-88, February.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.