IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v51y2019icp271-284.html
   My bibliography  Save this article

Cost-benefit associations in consumer inventory problem with uncertain benefit

Author

Listed:
  • He, Haonan
  • Wang, Shanyong

Abstract

Newsvendor problems always describe a situation in which the vendor needs to predict the demand by a buyer when a constant unit profit is predetermined. However, sometimes, the vendor can effectively affect the demand as well as the unit profit, that is, when he is also the buyer simultaneously. Should he purchase more or less in advance when both the demand and unit benefit are uncertain? In this paper, we study how the vendor/buyer (consumer hereafter) would make this inventory decision when the unit profit is uncertain. We first analyze the evaluating process of consumers by conducting a mathematical model to contribute to the understanding of how the cost-benefit association affects consumer inventory decisions. Consumers would experience an immediate pain of payment (cost) at the order time, which is associated to thoughts of the uncertain pleasure (benefit) such payment may provide at the consumption time. The result shows the cost-benefit association might encourage consumers to either over- or underestimate the pain of paying and thereby take economically sub-optimal decisions. Based on this finding, we conduct three laboratory experiments to analyze the parameters in our model. Contrary to the existing literature, we find that the demand uncertainty may enhance consumer inventory decisions. Specifically, when the benefit uncertainty is really high, a strong cost-to-benefit link caused by the small probability of a great outcome would prevail against a weak benefit-to-cost link, leading to more deviation from the theoretical optimal quantity. Interestingly, we also show that changes to the benefits can lead to more deviation in order quantity, that is, a direct effect of benefit and an indirect impact on demand would jointly make changes to the benefits more effective than changes to the cost. Our finding has important implications on how firms should set prices and inventories of seasonal goods and how much money should invest in promoting pre-purchase behaviors (e.g., store cards).

Suggested Citation

  • He, Haonan & Wang, Shanyong, 2019. "Cost-benefit associations in consumer inventory problem with uncertain benefit," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 271-284.
  • Handle: RePEc:eee:joreco:v:51:y:2019:i:c:p:271-284
    DOI: 10.1016/j.jretconser.2019.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969891830715X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2019.06.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hu, Benyong & Qu, Jiali & Meng, Chao, 2018. "Supply chain coordination under option contracts with joint pricing under price-dependent demand," International Journal of Production Economics, Elsevier, vol. 205(C), pages 74-86.
    2. AJ A. Bostian & Charles A. Holt & Angela M. Smith, 2008. "Newsvendor "Pull-to-Center" Effect: Adaptive Learning in a Laboratory Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 590-608, July.
    3. Dr. Ashutosh Nigam, 2012. "Modeling Relationship between Experiential Marketing, Experiential Value and Purchase Intensions in Organized Quick Service Chain Restaurants Shoppers Using Structural Equation Modeling Approach," Journal of Commerce and Trade, Society for Advanced Management Studies, vol. 7(2), pages 18-25, October.
    4. Heath, Chip, 1995. "Escalation and De-escalation of Commitment in Response to Sunk Costs: The Role of Budgeting in Mental Accounting," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(1), pages 38-54, April.
    5. Marcelo Olivares & Christian Terwiesch & Lydia Cassorla, 2008. "Structural Estimation of the Newsvendor Model: An Application to Reserving Operating Room Time," Management Science, INFORMS, vol. 54(1), pages 41-55, January.
    6. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    7. Gérard P. Cachon & A. Gürhan Kök, 2007. "Implementation of the Newsvendor Model with Clearance Pricing: How to (and How Not to) Estimate a Salvage Value," Manufacturing & Service Operations Management, INFORMS, vol. 9(3), pages 276-290, October.
    8. Dennis W. Carlton & James D. Dana, 2008. "Product Variety And Demand Uncertainty: Why Markups Vary With Quality," Journal of Industrial Economics, Wiley Blackwell, vol. 56(3), pages 535-552, September.
    9. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    10. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
    11. Read, Daniel, 2001. "Is Time-Discounting Hyperbolic or Subadditive?," Journal of Risk and Uncertainty, Springer, vol. 23(1), pages 5-32, July.
    12. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    13. Drazen Prelec & George Loewenstein, 1998. "The Red and the Black: Mental Accounting of Savings and Debt," Marketing Science, INFORMS, vol. 17(1), pages 4-28.
    14. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    15. Feng, Tianjun & Keller, L. Robin & Zheng, Xiaona, 2011. "Decision making in the newsvendor problem: A cross-national laboratory study," Omega, Elsevier, vol. 39(1), pages 41-50, January.
    16. Louis Eeckhoudt & Christian Gollier & Harris Schlesinger, 1995. "The Risk-Averse (and Prudent) Newsboy," Management Science, INFORMS, vol. 41(5), pages 786-794, May.
    17. Heath, Chip & Soll, Jack B, 1996. "Mental Budgeting and Consumer Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(1), pages 40-52, June.
    18. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    19. Hauser, John R & Wernerfelt, Birger, 1990. "An Evaluation Cost Model of Consideration Sets," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 393-408, March.
    20. Li Chen & A. Gürhan Kök & Jordan D. Tong, 2013. "The Effect of Payment Schemes on Inventory Decisions: The Role of Mental Accounting," Management Science, INFORMS, vol. 59(2), pages 436-451, September.
    21. Kinshuk Jerath & Sang-Hyun Kim & Robert Swinney, 2017. "Product Quality in a Distribution Channel with Inventory Risk," Marketing Science, INFORMS, vol. 36(5), pages 747-761, September.
    22. Jammernegg, Werner & Kischka, Peter, 2013. "The price-setting newsvendor with service and loss constraints," Omega, Elsevier, vol. 41(2), pages 326-335.
    23. Vipul Agrawal & Sridhar Seshadri, 2000. "Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem," Manufacturing & Service Operations Management, INFORMS, vol. 2(4), pages 410-423, July.
    24. Boulding, William & Kirmani, Amna, 1993. "A Consumer-Side Experimental Examination of Signaling Theory: Do Consumers Perceive Warranties as Signals of Quality?," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(1), pages 111-123, June.
    25. Nils Rudi & David Drake, 2014. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior," Management Science, INFORMS, vol. 60(5), pages 1334-1345, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Irfanullah Khan & Biswajit Sarkar, 2021. "Transfer of Risk in Supply Chain Management with Joint Pricing and Inventory Decision Considering Shortages," Mathematics, MDPI, vol. 9(6), pages 1-20, March.
    2. Feng, Cong & Fay, Scott, 2021. "Chief stores officer and retailer performance," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Villa, Sebastián & Castañeda, Jaime Andrés, 2018. "Transshipments in supply chains: A behavioral investigation," European Journal of Operational Research, Elsevier, vol. 269(2), pages 715-729.
    2. Li Chen & A. Gürhan Kök & Jordan D. Tong, 2013. "The Effect of Payment Schemes on Inventory Decisions: The Role of Mental Accounting," Management Science, INFORMS, vol. 59(2), pages 436-451, September.
    3. Castañeda, Jaime Andrés & Brennan, Mark & Goentzel, Jarrod, 2019. "A behavioral investigation of supply chain contracts for a newsvendor problem in a developing economy," International Journal of Production Economics, Elsevier, vol. 210(C), pages 72-83.
    4. Castañeda, Jaime Andrés & Gonçalves, Paulo, 2018. "Ordering behavior in a newsstand experiment," International Journal of Production Economics, Elsevier, vol. 197(C), pages 186-196.
    5. Vipin, B. & Amit, R.K., 2019. "Describing decision bias in the newsvendor problem: A prospect theory model," Omega, Elsevier, vol. 82(C), pages 132-141.
    6. Mandal, Prasenjit & Kaul, Rupali & Jain, Tarun, 2018. "Stocking and pricing decisions under endogenous demand and reference point effects," European Journal of Operational Research, Elsevier, vol. 264(1), pages 181-199.
    7. Mohammad Reza Nikbakht & Mehrdad Sadr Ara, 2016. "A new experimental model for profit maximization," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(3), pages 45-52, June.
    8. Elahi, Ehsan & Lamba, Narasimha & Ramaswamy, Chinthana, 2013. "How can we improve the performance of supply chain contracts? An experimental study," International Journal of Production Economics, Elsevier, vol. 142(1), pages 146-157.
    9. Kalakbandi, Vinay Kumar, 2018. "Managing the misbehaving retailer under demand uncertainty and imperfect information," European Journal of Operational Research, Elsevier, vol. 269(3), pages 939-954.
    10. Schiffels, Sebastian & Fügener, Andreas & Kolisch, Rainer & Jens Brunner, O., 2014. "On the assessment of costs in a newsvendor environment: Insights from an experimental study," Omega, Elsevier, vol. 43(C), pages 1-8.
    11. Dertwinkel-Kalt, Markus & Köster, Mats, 2017. "Salient compromises in the newsvendor game," Journal of Economic Behavior & Organization, Elsevier, vol. 141(C), pages 301-315.
    12. Hofstra, Nienke & Spiliotopoulou, Eirini, 2022. "Behavior in rationing inventory across retail channels," European Journal of Operational Research, Elsevier, vol. 299(1), pages 208-222.
    13. Yufei Ren & David Croson & Rachel Croson, 2017. "The overconfident newsvendor," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 496-506, May.
    14. Mahesh Nagarajan & Steven Shechter, 2014. "Prospect Theory and the Newsvendor Problem," Management Science, INFORMS, vol. 60(4), pages 1057-1062, April.
    15. Michael Becker-Peth & Elena Katok & Ulrich W. Thonemann, 2013. "Designing Buyback Contracts for Irrational But Predictable Newsvendors," Management Science, INFORMS, vol. 59(8), pages 1800-1816, August.
    16. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2012. "Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework," Omega, Elsevier, vol. 40(2), pages 188-198, April.
    17. Shaofu Du & Yujiao Zhu & Tengfei Nie & Haisuo Yu, 2018. "Loss-averse preferences in a two-echelon supply chain with yield risk and demand uncertainty," Operational Research, Springer, vol. 18(2), pages 361-388, July.
    18. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    19. Hu, Benyong & Meng, Chao & Xu, Dong & Son, Young-Jun, 2016. "Three-echelon supply chain coordination with a loss-averse retailer and revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 179(C), pages 192-202.
    20. Christian Köster & Heike Y. Schenk-Mathes, 2016. "Explanatory and predictive power of the adaptive learning model: average and heterogeneous behavior in a newsvendor context," Journal of Business Economics, Springer, vol. 86(4), pages 361-387, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:51:y:2019:i:c:p:271-284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.