IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v231y2021ics0925527320302073.html
   My bibliography  Save this article

Flexible contracting with heterogeneous agents and stochastic demand

Author

Listed:
  • Singham, Dashi I.
  • Cai, Wenbo
  • Fügenschuh, Armin

Abstract

While the predominant pricing scheme for services is a set of long-term contracts stipulating a fixed fee for a level of usage, many service providers now offer flexible contracts. These contracts include flexibility in usage level and the option to opt out of the service in certain time periods. We study the effectiveness of flexible contracts in aligning the interests between the service provider and the customers in the presence of customers with different discrete demand distributions. This work develops a unified principal–agent framework to examine multiple versions of flexible contracts under ex post information asymmetry. We explore two types of contract variations. The first is aggregated versus differentiated contracts across an agent’s random demand values, the second is whether an agent may decline participation in a future time period after committing to a set of contract options. We find that the principal always prefers differentiation to aggregation, and under differentiation prefers to require participation at each time period. However, when demand variability is grouped together under aggregated contracts, we derive a sufficient condition for when is it more profitable to allow the agents the flexibility to opt out of participating in future time periods. Furthermore, the agents’ preference and the overall social utility depends on agents’ value functions and demand distributions. Our study provides insights that help decision makers price their services to better satisfy customers’ varying needs while improving the profitability of the service.

Suggested Citation

  • Singham, Dashi I. & Cai, Wenbo & Fügenschuh, Armin, 2021. "Flexible contracting with heterogeneous agents and stochastic demand," International Journal of Production Economics, Elsevier, vol. 231(C).
  • Handle: RePEc:eee:proeco:v:231:y:2021:i:c:s0925527320302073
    DOI: 10.1016/j.ijpe.2020.107840
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527320302073
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2020.107840?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. Houyuan Jiang & Zhan Pang & Sergei Savin, 2012. "Performance-Based Contracts for Outpatient Medical Services," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 654-669, October.
    2. Ehtamo, Harri & Berg, Kimmo & Kitti, Mitri, 2010. "An adjustment scheme for nonlinear pricing problem with two buyers," European Journal of Operational Research, Elsevier, vol. 201(1), pages 259-266, February.
    3. Ying-Ju Chen & Mingcherng Deng, 2015. "Information Sharing in a Manufacturer–Supplier Relationship: Suppliers' Incentive and Production Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 24(4), pages 619-633, April.
    4. Cecchini, Mark & Ecker, Joseph & Kupferschmid, Michael & Leitch, Robert, 2013. "Solving nonlinear principal-agent problems using bilevel programming," European Journal of Operational Research, Elsevier, vol. 230(2), pages 364-373.
    5. Özalp Özer & Wei Wei, 2006. "Strategic Commitments for an Optimal Capacity Decision Under Asymmetric Forecast Information," Management Science, INFORMS, vol. 52(8), pages 1238-1257, August.
    6. Fangruo Chen & Guoming Lai & Wenqiang Xiao, 2016. "Provision of Incentives for Information Acquisition: Forecast-Based Contracts vs. Menus of Linear Contracts," Management Science, INFORMS, vol. 62(7), pages 1899-1914, July.
    7. Charles J. Corbett & Deming Zhou & Christopher S. Tang, 2004. "Designing Supply Contracts: Contract Type and Information Asymmetry," Management Science, INFORMS, vol. 50(4), pages 550-559, April.
    8. Dimitris Bertsimas & Aurélie Thiele, 2006. "A Robust Optimization Approach to Inventory Theory," Operations Research, INFORMS, vol. 54(1), pages 150-168, February.
    9. Singham, D.I., 2019. "Sample average approximation for the continuous type principal-agent problem," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1050-1057.
    10. Zhibin (Ben) Yang & Göker Aydın & Volodymyr Babich & Damian R. Beil, 2012. "Using a Dual-Sourcing Option in the Presence of Asymmetric Information About Supplier Reliability: Competition vs. Diversification," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 202-217, April.
    11. Ananth V. Iyer & Leroy B. Schwarz & Stefanos A. Zenios, 2005. "A Principal-Agent Model for Product Specification and Production," Management Science, INFORMS, vol. 51(1), pages 106-119, January.
    12. Egri, Péter & Váncza, József, 2012. "Channel coordination with the newsvendor model using asymmetric information," International Journal of Production Economics, Elsevier, vol. 135(1), pages 491-499.
    13. Arun Sundararajan, 2004. "Nonlinear Pricing of Information Goods," Management Science, INFORMS, vol. 50(12), pages 1660-1673, December.
    14. Hao Zhang & Mahesh Nagarajan & Greys Sošić, 2010. "Dynamic Supplier Contracts Under Asymmetric Inventory Information," Operations Research, INFORMS, vol. 58(5), pages 1380-1397, October.
    15. Babich, Volodymyr & Li, Hantao & Ritchken, Peter & Wang, Yunzeng, 2012. "Contracting with asymmetric demand information in supply chains," European Journal of Operational Research, Elsevier, vol. 217(2), pages 333-341.
    16. Zhibin (Ben) Yang & Göker Ayd{i}n & Volodymyr Babich & Damian R. Beil, 2009. "Supply Disruptions, Asymmetric Information, and a Backup Production Option," Management Science, INFORMS, vol. 55(2), pages 192-209, February.
    17. Deng, Xiaoxue & Xie, Jinxing & Xiong, Huachun, 2013. "Manufacturer–retailer contracting with asymmetric information on retailer's degree of loss aversion," International Journal of Production Economics, Elsevier, vol. 142(2), pages 372-380.
    18. Sang-Hyun Kim & Serguei Netessine, 2013. "Collaborative Cost Reduction and Component Procurement Under Information Asymmetry," Management Science, INFORMS, vol. 59(1), pages 189-206, November.
    19. Zhang, Shichen & Zhang, Jianxiong, 2018. "Contract preference with stochastic cost learning in a two-period supply chain under asymmetric information," International Journal of Production Economics, Elsevier, vol. 196(C), pages 226-247.
    20. Georgia Perakis & Guillaume Roels, 2010. "Robust Controls for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 56-76, November.
    21. Mustafa Akan & Bar{i}c{s} Ata & Martin A. Lariviere, 2011. "Asymmetric Information and Economies of Scale in Service Contracting," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 58-72, September.
    22. Anil Arya & Brian Mittendorf, 2006. "Project Assignments When Budget Padding Taints Resource Allocation," Management Science, INFORMS, vol. 52(9), pages 1345-1358, September.
    23. Terry A. Taylor & Wenqiang Xiao, 2009. "Incentives for Retailer Forecasting: Rebates vs. Returns," Management Science, INFORMS, vol. 55(10), pages 1654-1669, October.
    24. Hemant K. Bhargava & Vidyanand Choudhary, 2008. "Research Note--When Is Versioning Optimal for Information Goods?," Management Science, INFORMS, vol. 54(5), pages 1029-1035, May.
    Full references (including those not matched with items on IDEAS)

    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. Gao, Long, 2015. "Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management," European Journal of Operational Research, Elsevier, vol. 245(1), pages 133-145.
    2. Singham, D.I., 2019. "Sample average approximation for the continuous type principal-agent problem," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1050-1057.
    3. Lan, Yanfei & Cai, Xiaoqiang & Shang, Changjing & Zhang, Lianmin & Zhao, Ruiqing, 2020. "Heterogeneous suppliers’ contract design in assembly systems with asymmetric information," European Journal of Operational Research, Elsevier, vol. 286(1), pages 149-163.
    4. Xin Yun & Hao Liu & Yi Li & Kin Keung Lai, 2023. "Contract design under asymmetric demand information for sustainable supply chain practices," Annals of Operations Research, Springer, vol. 324(1), pages 1429-1459, May.
    5. Wang, Kai & Ding, Peiqi & Zhao, Ruiqing, 2021. "Strategic credit sales to express retail under asymmetric default risk and stochastic market demand," Omega, Elsevier, vol. 101(C).
    6. Mingzhu Yu & Ruina Yang & Zelong Yi & Xuwen Cong, 2020. "Contracting in Ocean Shipping Market Under Asymmetric Information," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-24, March.
    7. Alibeiki, Hedayat & Gümüş, Mehmet, 2020. "Supply competition under quality scores: Motivations, information sharing and credibility," International Journal of Production Economics, Elsevier, vol. 226(C).
    8. Wei Zhang & Long Gao & Mohammad Zolghadr & Dawei Jian & Mohsen ElHafsi, 2023. "Dynamic incentives for sustainable contract farming," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2049-2067, July.
    9. Bin Hu & Anyan Qi, 2018. "Optimal Procurement Mechanisms for Assembly," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 655-666, October.
    10. Li, Zhaolin & Ryan, Jennifer K. & Sun, Daewon, 2015. "Multi-attribute procurement contracts," International Journal of Production Economics, Elsevier, vol. 159(C), pages 137-146.
    11. Huang, Song & Yang, Jun, 2016. "Information acquisition and transparency in a supply chain with asymmetric production cost information," International Journal of Production Economics, Elsevier, vol. 182(C), pages 449-464.
    12. Kebing Chen & Renxing Xu & Hanwei Fang, 2016. "Information Disclosure Model Under Supply Chain Competition with Asymmetric Demand Disruption," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-35, December.
    13. Yang, Ruina & Yu, Mingzhu & Lee, Chung-Yee & Du, Yuquan, 2021. "Contracting in ocean transportation with empty container repositioning under asymmetric information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    14. Yan, Bo & Wang, Tao & Liu, Yan-ping & Liu, Yang, 2016. "Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting," International Journal of Production Economics, Elsevier, vol. 178(C), pages 34-41.
    15. Zhengping Wu & Wanshan Zhu & Pascale Crama, 2011. "The Newsvendor Problem with Advertising Revenue," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 281-296, July.
    16. Schlereth, Christian & Stepanchuk, Tanja & Skiera, Bernd, 2010. "Optimization and analysis of the profitability of tariff structures with two-part tariffs," European Journal of Operational Research, Elsevier, vol. 206(3), pages 691-701, November.
    17. Cai, W. & Singham, D.I., 2018. "A principal–agent problem with heterogeneous demand distributions for a carbon capture and storage system," European Journal of Operational Research, Elsevier, vol. 264(1), pages 239-256.
    18. Tian Li & Shilu Tong & Hongtao Zhang, 2014. "Transparency of Information Acquisition in a Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 412-424, July.
    19. Zhang, Shichen & Zhang, Jianxiong, 2018. "Contract preference with stochastic cost learning in a two-period supply chain under asymmetric information," International Journal of Production Economics, Elsevier, vol. 196(C), pages 226-247.
    20. Rahimi-Ghahroodi, S. & Al Hanbali, A. & Zijm, W.H.M. & Timmer, J.B., 2020. "Multi-resource emergency supply contracts with asymmetric information in the after-sales services," International Journal of Production Economics, Elsevier, vol. 229(C).

    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:proeco:v:231:y:2021:i:c:s0925527320302073. 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: http://www.elsevier.com/locate/ijpe .

    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.