Uniform-price auctions in staffing for self-scheduling service

References

• Adams, T., O’Sullivan, M. and Walker, C. (2019) Physician rostering for workload balance. Operations Research for Health Care, 20, 1–10.
   Web of Science ®Google Scholar
• Aksin, O.Z., Armony, M. and Mehrota, V. (2007) The modern call-center: A multi-disciplinary perspective on operations management research. Production and Operations Management, 16, 465–688.
   Web of Science ®Google Scholar
• Aksin, O.Z. and Harker, P.T. (2003) Capacity sizing in the presence of a common shared resource: Staffing an inbound call center. European Journal of Operational Research, 147, 464–483.
   Web of Science ®Google Scholar
• Asghari, M., Deng, D., Shahabi, C., Demiryurek, U. and Li, Y. (2016) Price-aware real-time ride-sharing at scale: An auction-based approach, in Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 1–10.
   Google Scholar
• Astashkina, E., Momot, R. and Salikhov, M. (2018) Impact of workforce flexibility on customer satisfaction: Empirical framework & evidence from a cleaning services platform. Working paper. Available at SSRN:https://ssrn.com/abstract=3260826
   Google Scholar
• Bai, J., So, K.C., Tang, C.S., Chen, X. and Wang, H. (2019) Coordinating supply and demand on an on demand service platform with impatient customers. Manufacturing & Service Operations Management, 21(3), 556–570.
   Google Scholar
• Bailey, J. (1985) Integrated days off and shift personnel scheduling. Computers & Industrial Engineering, 9(4), 395–404.
   Web of Science ®Google Scholar
• Banerjee, S., Johari, R. and Riquelme, C (2015) Pricing in ride-sharing platforms: A queueing-theoretic approach. , in Proceedings of the Sixteenth ACM Conference on Economics and Computation, EC '15, ACM, New York, NY, USA, pp. 639.
   Google Scholar
• Banerjee, S., Johari, R. and Riquelme, C. (2016) Dynamic pricing in ridesharing platforms. ACM SIGecoom Exchanges, 15(1), 65–70.
   Web of Science ®Google Scholar
• Bassamboo, A., Harrison, J. and Zeevi, A. (2006) Design and control of a large call center: Asymptotic analysis of an LP-based method. Operations Research, 54(3), 419–435.
   Web of Science ®Google Scholar
• Bassamboo, A. and Randhawa, R. (2010) On the accuracy of fluid models for capacity sizing in queueing systems with impatient customers. Operations Research, 85(5),1398–1413.
   Google Scholar
• Brucker, P., Qu, R. and Burke, E. (2011) Personnel scheduling: Models and complexity. European Journal of Operational Research, 210(3), 467–473.
   Web of Science ®Google Scholar
• Brunner, E.K. (2010) Literature review on personnel scheduling. Lecture Notes in Economics and Mathematical Systems, 640, 5–12.
   Google Scholar
• Buffa, E.S., Cosgrove, M.J. and Luce, B.J. (1976) An integrated work shift scheduling system. Decision Sciences, 7(4), 620–630.
   Google Scholar
• Cachon, G.P., Daniels, K.M. and Lobel, R. (2017) The role of surge pricing on a service platform with self-scheduling capacity. Manufacturing & Service Operations Management, 19(3), 368–384.
   Web of Science ®Google Scholar
• Damcı-Kurt, P., Zhang, M., Marentay, B. and Govind, N. (2019) Improving physician schedules by leveraging equalization: Cases from hospitals in US. Omega, 85, 182–193.
   Web of Science ®Google Scholar
• Defraeye, M. and van Nieuwenhuyse, I. (2016) Staffing and scheduling under nonstationary demand for service: A literature review. Omega, 58, 4–25.
   Web of Science ®Google Scholar
• De Grano, M.L., Medeiros, D.J. and Eitel, D. (2009) Accommodating individual preferences in nurse scheduling via auctions and optimization. Health Care Management Science, 12(3), 228–242.
   Web of Science ®Google Scholar
• Dong, J. and Ibrahim, R. (2017) Managing supply in the on-demand economy: Flexible workers, full-time employees, or both? Operations Research, 68(4), 1238–1264.
   Google Scholar
• Earl, G. and Colley, A. (2018) Uber under fire for massive price surge as soon as thunderstorm kicks in-with 5 pounds trip costing up to 20 pounds. Mirror UK News. https://www.mirror.co.uk/news/uk-news/uber-under-fire-massive-price-12406762 (accessed 19 November 2020).
   Google Scholar
• Easley, D. and Kleinberg, J. (2010) Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Cambridge University Press, Cambridge.
   Google Scholar
• Easton, F.F. (2011) Cross-training performance in flexible labor scheduling environments. IIE Transactions, 43(8), 589–603.
   Web of Science ®Google Scholar
• Erhard, M., Schoenfelder, J., Fügener, A. and Brunner, J.O. (2018) State of the art in physician scheduling. European Journal of Operational Research, 265(1), 1–18.
   Web of Science ®Google Scholar
• Ernst, A.T., Jiang, H., Krishnamoorthy, M, Owens, B. and Sier, D. (2004) An annotated bibliography of personnel shceduling and rostering. Annals of Operations Research, 2(2), 107–138.
   Google Scholar
• Ernst, A.T., Jiang, H., Krishnamoorthy, M. and Sier, D. (2004) Staff scheduling and rostering: A review of applications, methods and models. European Journal of Operational Research, 153(1), 3–27.
   Web of Science ®Google Scholar
• Fraiberger, S.P. and Sundararajan, A. (2015) Peer-to-peer rental markets in the sharing economy. Working Paper, New York University.
   Google Scholar
• Gans, N., Koole, G. and Mandelbaum, A. (2003) Telephone call centers: A tutorial and literature review. Manufacturing & Service Operations Management, 5, 79–141.
   Google Scholar
• Griva, I., Nash, S.G. and Sofer, A. (2009) Linear and Nonlinear Optimization, SIAM, Philadelphia, PA.
   Google Scholar
• Guo, R., Shi, H., Zhao, Q. and Zheng, D. (2018) Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE Access, vol. 6, 11676–11686.
   Web of Science ®Google Scholar
• Gurvich, I., Lariviere, M. and Moreno, A. (2019) Operations in the on-demand economy: Staffing services with self-scheduling capacity, in Hu M. (ed.), Sharing Economy. Springer Series in Supply Chain Management, vol. 6. Springer, Cham, pp. 249–278.
   Google Scholar
• Hall, J.V. and Krueger, A.B. (2015) An analysis of the labor market for Ubers driver-partners in the United States. Working paper, Princeton University, Princeton, NJ.
   Google Scholar
• Hernández-Leandro, N.A., Boyer, V., Salazar-Aguilar, M.A. and Rousseau, L.M. (2019) A matheuristic based on Lagrangian relaxation for the multi-activity shift scheduling problem. European Journal of Operational Research, 272(3), 859–867.
   Web of Science ®Google Scholar
• Hopp, W.J. and Oyen M.P. (2004) Agile workforce evaluation: A framework for cross-training and coordination. IIE Transactions, 36(10), 919–940.
   Web of Science ®Google Scholar
• Ibrahim, R. (2018) Managing queueing system where capacity is random and customers are impatient. Production and Operations Management, 27(2), 234–250.
   Web of Science ®Google Scholar
• Iravani, S.M., Kolfal, B. and van Oyen M.P. (2007) Call-center labor cross-training: It’s a small world after all. Management Science, 53(7), 1102–1112.
   Web of Science ®Google Scholar
• Iravani, S.M., van Oyen M.P. and Sims, K.T. (2005) Structural flexibility: A new perspective on the design of manufacturing and service operations. Management Science, 51(2), 151–166.
   Web of Science ®Google Scholar
• Jaumard, B., Semet, F. and Vovor, T. (1998) A generalized linear programming model for nurse scheduling. European Journal of Operational Research, 107(1), 1–18.
   Web of Science ®Google Scholar
• Kaplan, T.R. and Zamir, S. (2012) Asymmetric first-price auctions with uniform distributions: Analytic solutions to the general case. Economic Theory, 50, 269–302.
   Web of Science ®Google Scholar
• Kesavan, S., Staats, B.R. and Gilland, W. (2014) Volume flexibility in services: The costs and benefits of flexible labor resources. Management Science, 60(8), 1884–1906.
   Web of Science ®Google Scholar
• Koeppel, D. (2004) Nurses bid with their pay in auctions for extra work. The New York Times. https://www.nytimes.com/2004/06/06/jobs/nurses-bid-with-their-pay-in-auctions-for-extra-work.html (accessed 19 November 2020).
   Google Scholar
• Krishna, V. (2009) Auction Theory, Academic Press.
   Google Scholar
• Lee, A. and Savelsbergh, M. (2015) Dynamic ridesharing: Is there a role for dedicated drivers? Transportation Research Part B: Methodological, 81, 483–497.
   Web of Science ®Google Scholar
• Li, Y. (2005) Hospital capacity investment. Theory and practice. Doctoral dissertation, University of Michigan, Ann Arbor, MI.
   Google Scholar
• Lin, S.W. and Ying, K.C. (2014) Minimizing shifts for personnel task scheduling problems: A three-phase algorithm. European Journal of Operational Research, 237(1), 323–334.
   Web of Science ®Google Scholar
• Loke, J. and Jia, I. (2017) An alternative auction model in ride sharing platforms. https://medium.com/@jensenloke/alternative-auction-model-in-ride-sharing-platforms-4d2a0e951cb2? (accessed 19 November 2020).
   Google Scholar
• Maenhout, B. and Vanhoucke, M. (2013) An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems. Omega, 41(2), 485–499.
   Web of Science ®Google Scholar
• Marsden, T. (2016) What is the true cost of attrition? Strategic HR Review, 15(4), 189–190.
   Google Scholar
• Messerli, E.J. (1972) Proof of a convexity property of the Erlang B formula. The Bell System Technical Journal, 51(4), 951–953
   Google Scholar
• Miller, J., Nie, Y. and Stathopoulos, A. (2017) Crowdsourced urban package delivery: Modeling traveler willingness to work as crowdshippers. Transportation Research Record, 2610(1), 67–75.
   Google Scholar
• Milner, J.M. and Pinker, E.J. (2001) Contingent labor contracting under demand and supply uncertainty. Management Science, 47(8), 1046–1062.
   Web of Science ®Google Scholar
• Pinker, E.J. and Larson, R.C. (2003) Optimizing the use of contingent labor when demand is uncertain. European Journal of Operational Research, 144(1), 39–55.
   Web of Science ®Google Scholar
• Pinker, E.J. and Shumsky, R.A. (2000) The efficiency-quality trade-off of cross-trained workers. Manufacturing & Service Operations Management, 2(1), 32–48.
   Google Scholar
• Puente, J., Gómez, A., Fernández, I. and Priore, P. (2009) Medical doctor rostering problem in a hospital emergency department by means of genetic algorithms. Computers & Industrial Engineering, 56(4), 1232–1242.
   Web of Science ®Google Scholar
• Reynolds, P. (2015) Exploring call center turnover numbers. qatc.org/winter-2015-connection/exploring-call-center-turnover-numbers/ (accessed 19 November 2020).
   Google Scholar
• Rifkin, J. (2014) The Zero Marginal Cost Society: The Internet of Things, The Collaborative Commons, and The Eclipse of Capitalism, St. Martin’s Press, New York.
   Google Scholar
• Ross, S. (1997) Introduction to Probability Models, Academic Press, San Diego, CA.
   Google Scholar
• Sabet, L. (2005) Adopting online nurse scheduling and staffing system. California Healthcare Foundation, California.
   Google Scholar
• Taylor, T.A. (2018) On-demand service platforms. Manufacturing & Service Operations Management, 20(4), 704–720.
   Web of Science ®Google Scholar
• Tekin, E., Hopp, W.J. and van Oyen M.P. (2009) Pooling strategies for call center agent cross-training. IIE Transactions, 41(6), 546–561.
   Web of Science ®Google Scholar
• Van den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E. and de Boeck, L. (2013) Personnel scheduling: A literature review. European Journal of Operational Research, 226(3), 367–385.
   Web of Science ®Google Scholar
• Van den Eeckhout, M., Maenhout, B. and Vanhoucke, M. (2019) A heuristic procedure to solve the project staffing problem with discrete time/resource trade-offs and personnel scheduling constraints. Computers & Operations Research, 101, 144–161.
   Web of Science ®Google Scholar
• Wang, X., He, F., Yang, H. and Gao, H.O. (2016) Pricing strategies for a taxi-hailing platform. Transportation Research Part E, 93, 212–231.
   Google Scholar
• Weber, H. (2014) TaskRabbit users revolt as the company shuts down its bidding system. https://venturebeat.com/2014/07/10/taskrabbit-users-revolt-as-the-company-shuts-down-its-bidding-system/ (accessed 19 November 2020).
   Google Scholar
• Whitt, W. (2006) Staffing a call center with uncertain arrival rate and absenteeism. Production and Operations Management, 15, 88–102.
   Web of Science ®Google Scholar
• Wolff, R.W. (1989) Stochastic Modeling and the Theory of Queues, Prentice Hall, Englewood Cliffs, NJ.
   Google Scholar
• Yu, Q., Allon, G. and Bassamboo, A. (2017) How do delay announcements shape customer behavior? An empirical study. Management Science, 63(1), 1–20.
   Web of Science ®Google Scholar
• Zervas, G., Proserpio, D. and Byers, J.W. (2017) The rise of the sharing economy: Estimating the impact of Airbnb on the hotel industry. Journal of Marketing Research, 54(5), 687–705.
   Web of Science ®Google Scholar
• Zha, L., Yin, Y. and Du, Y. (2017) Surge pricing and labor supply in the ride-sourcing market. Transportation Research Procedia, 23, 2–21.
   Google Scholar
• Zha, L., Yin, Y. and Yang, H. (2016) Economic analysis of ride-sourcing markets. Transportation Research Part C, 71, 249–266.
   Web of Science ®Google Scholar
• Zhao, H., Xiao, M., Wu, J., Liu, A. and An, B. (2019) Reverse-auction-based competitive order assignment for mobile taxi-hailing systems, in G. Li, J. Yang, J. Gama, J. Natwichai and Y. Tong (eds.), Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science, vol. 11447, Springer, Cham, pp. 660–677.
   Google Scholar
• Zheng, L., Cheng, P. and Chen, L. (2019) Auction-based order dispatch and pricing in ridesharing, in Proceedings of the 2019 IEEE 35th International Conference on Data Engineering, IEEE Press, Piscataway, NJ, pp. 1034–1045.
   Google Scholar