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Flexible contracting with heterogeneous agents and stochastic demand

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. Arun Sundararajan, 2004. "Nonlinear Pricing of Information Goods," Management Science, INFORMS, vol. 50(12), pages 1660-1673, December.
    7. Hao Zhang & Mahesh Nagarajan & Greys Sošić, 2010. "Dynamic Supplier Contracts Under Asymmetric Inventory Information," Operations Research, INFORMS, vol. 58(5), pages 1380-1397, October.
    8. 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.
    9. 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.
    10. Anil Arya & Brian Mittendorf, 2006. "Project Assignments When Budget Padding Taints Resource Allocation," Management Science, INFORMS, vol. 52(9), pages 1345-1358, September.
    11. Terry A. Taylor & Wenqiang Xiao, 2009. "Incentives for Retailer Forecasting: Rebates vs. Returns," Management Science, INFORMS, vol. 55(10), pages 1654-1669, October.
    12. 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.
    13. 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.
    14. 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.
    15. Dimitris Bertsimas & Aurélie Thiele, 2006. "A Robust Optimization Approach to Inventory Theory," Operations Research, INFORMS, vol. 54(1), pages 150-168, February.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Georgia Perakis & Guillaume Roels, 2010. "Robust Controls for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 12(1), pages 56-76, November.
    23. 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.
    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.
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