The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Note: The Newsvendor Model with Endogenous Demand
Abstract
This paper considers a firm's price and inventory policy when it faces uncertain demand that depends on both price and inventory level. The authors extend the classic newsvendor model by assuming that expected utility maximizing consumers choose between visiting the firm and consuming an exogenous outside option. The outside option represents the utility the consumer forgoes when she chooses to visit the firm before knowing whether or not the product will be available. The authors investigate both the case in which the firm's price is exogenous and the case in which price is chosen optimally. The paper makes two contributions. First, the authors show that the firm holds more inventories, provides a higher fill rate, attracts more customers, and earns higher profits when it internalizes the effect of its inventory on demand. Second, the authors show that in the endogenous price case the firm's two-dimensional decision problem can be reduced to two, sequential, single-variable optimizations. As a result, the endogenous-price case is as easy to solve as the exogenous-price case.
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“We believe this feature constitutes a novel feature of the model since most of the literature on inventory-dependent demand is for the single-period newsvendor (e.g., Dana and Petruzzi 2001).”
From Clearance Pricing Optimization for a Fast-Fashion Retailer (2012) · cites this paper as Dana and Petruzzi 2001
Citations
Cites
Inventory management and production planning and scheduling
(1999) · Journal of Manufacturing Systems · doi:10.1016/s0278-6125(99)90116-4 · Cited by 2,787
Mathematical Theory of Reliability
Basu, A. P., Barlow, R. E., & Proschan, F. (1966) · Econometrica · doi:10.2307/1909951 · Cited by 2,710
Pricing and the Newsvendor Problem: A Review with Extensions
Petruzzi, N. C., & Dada, M. (1999) · Operations Research · doi:10.1287/opre.47.2.183 · Cited by 1,707
Self-citationQuantitative Models for Supply Chain Management
Magazine, M., Ganeshan, R., & Tayur, S. (1999) · International series in management science/operations research/International series in operations research & management science · doi:10.1007/978-1-4615-4949-9 · Cited by 1,243
Production and Operations Analysis
Nahmias, S. (1992) · Cited by 1,213
The single-period (news-vendor) problem: literature review and suggestions for future research
Khouja, M. J. (1999) · Omega · doi:10.1016/s0305-0483(99)00017-1 · Cited by 910
Mathematical Theory of Reliability
Amster, S. J., Barlow, R. E., Proschan, F., & Hunter, L. C. (1965) · Technometrics · doi:10.1080/00401706.1965.10490311 · Cited by 766
Lippman, S. A., & McCardle, K. F. (1997) · Operations Research · doi:10.1287/opre.45.1.54 · Cited by 420
A Deterministic Inventory System with an Inventory-Level-Dependent Demand Rate
Baker, R. C., & Urban, T. L. (1988) · Journal of the Operational Research Society · doi:10.1057/jors.1988.142 · Cited by 374
Game theoretic analysis of the substitutable product inventory problem with random demands
Parlar, M. (1988) · Naval Research Logistics (NRL) · doi:10.1002/1520-6750(198806)35:3 · Cited by 345
Research works printed but not linked: 8
- Balakrishnan A., 2000, Lot sizing with demand-stimulating inventories
- Carlton D. W., 1978, Amer. Econom. Rev., 68, 571
- Eilon S., 1965, Oper. Res.-Verfahen, 3, 65
- Fergani Y. A market oriented stochastic inventory model (1976) (Stanford University, Stanford, CA) . Ph.D. dissertation
- Mahajan S., Oper. Res.
- Nahmias S., 1997, Production amd Operations Analysis
- Porteus E. L., 1990, Handbooks in OR and MS, 2, 605
- Young L., 1978, New Zealand Oper. Res., 6, 157
Cited by
Sorted by citations
Gallino, S., & Moreno, A. (2012) · Management Science · doi:10.1287/mnsc.2014.1951 · Cited by 713
Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store
Gao, F., & Su, X. (2016) · Management Science · doi:10.1287/mnsc.2016.2473 · Cited by 694
Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers
Cachon, G. P., & Swinney, R. P. (2008) · Management Science · doi:10.1287/mnsc.1080.0948 · Cited by 587
Strategic Customer Behavior, Commitment, and Supply Chain Performance
Su, X., & Zhang, F. (2008) · Management Science · doi:10.1287/mnsc.1080.0886 · Cited by 525
The newsvendor problem: Review and directions for future research
Qin, Y., Wang, R., Vakharia, A. J., Chen, Y., & Şeref, M. M. H. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2010.11.024 · Cited by 485
Metadata
- Authors
- Dana, J. D., & Petruzzi, N. C.
- Affiliations
- Northwestern University (US)
- University of Illinois Urbana-Champaign (US)
- Venue
- Management Science
- Published
- 2001-11
- Volume
- 47
- Issue
- 11
- Pages
- 1488-1497
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2119350633
- Cited by
- 239
- References
- 35
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 5 · 2023: 9 · 2022: 8 · 2021: 14 · 2020: 8 · 2019: 7 · 2018: 13 · 2017: 16 · 2016: 15 · 2015: 13 · 2014: 13 · 2013: 11 · 2012: 21
- FWCI
- 7.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Management Science (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Keywords
- newsvendor model, endogenous demand, inventory management, fill rate, expected utility, outside options, optimal pricing, sequential optimization, demand uncertainty, customer acquisition
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