Operations management has the tradition of coming from and going back to real‐life applications. It deals with the management of the process of matching supply with demand. The emerging business process in a sharing economy or an innovative marketplace calls for active management at the operational level. We take a neoclassical perspective by drawing inspiration from the classic models in operations management and economics. We aim at building connections and identifying differences between those traditional models and the new applications in sharing economy and innovative marketplaces. We also point out potential future research directions.
AdelmanD.2007. Dynamic bid prices in revenue management. Oper. Res.55(4): 647–661.
2.
AfècheP.LiuZ.MaglarasC.. 2018a. Ride‐hailing networks with strategic drivers: The impact of platform control capabilities on performance. Available at http://ssrn.com/abstract=3120544 (accessed date November 21, 2020).
3.
AfècheP.LiuZ.MaglarasC.. 2018b. A tale of timescales: Surge pricing and dynamic matching for hotspot demand shock in ridehailing networks. Presented at 2018 INFORMS Revenue Management and Pricing Section Conference.
4.
AgrawalV. V.AtasuA.Van WassenhoveL. N.. 2019. OM forum–New opportunities for operations management research in sustainability. Manuf. Serv. Oper. Manag.21(1): 1–12.
5.
AllonG.BassambooA.ÇilE. B.. 2012. Large‐scale service marketplaces: The role of the moderating firm. Management Sci.58(10): 1854–1872.
6.
AllonG.CohenM.SinchaisriP.. 2018. The impact of behavioral and economic drivers on gig economy workers. Available at http://ssrn.com/abstract=3274628 (accessed date November 21, 2020).
AsadpourA.LobelI.van RyzinG.. 2020. Minimum earnings regulation and the stability of marketplaces. Available at http://ssrn.com/abstract=3502607 (accessed date November 21, 2020).
9.
AtaB.BarjestehN.KumarS.. 2019. Spatial pricing: An empirical analysis of taxi rides in New York City. Working paper.
BaiJ.TangC. S.. 2020. Can two competing on‐demand service platforms be both profitable? Available at http://ssrn.com/abstract=3282395 (accessed date November 21, 2020).
12.
BaiJ.SoK. C.TangC. S.ChenX.WangH.. 2019. Coordinating supply and demand on an on‐demand service platform with impatient customers. Manuf. Serv. Oper. Manag.21(3): 556–570.
13.
BalseiroS. R.BesbesO.WeintraubG. Y.. 2015. Repeated auctions with budgets in ad exchanges: Approximations and design. Management Sci.61(4): 864–884.
14.
BalseiroS. R.CandoganO.GurkanH.. 2019. Intermediation in online advertising. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 21. Springer, Cham, 505–528.
15.
BalseiroS. R.BrownD. B.ChenC.. 2020. Dynamic pricing of relocating resources in large networks. Management Sci. Forthcoming.
16.
BanerjeeS.RiquelmeC.JohariR.. 2015. Pricing in ride‐share platforms: A queueing‐theoretic approach. Proceedings of the 2015 ACM Conference on Economics and Computation. EC ’15, pp. 639–639.
17.
BenjaafarS.HuM.. 2020. Operations management in the age of the sharing economy: What is old and what is new? Manuf. Serv. Oper. Manag.22(1): 93–101.
18.
BenjaafarS.KongG.LiX.CourcoubetisC.. 2019. Peer‐to‐peer product sharing: Implications for ownership, usage and social welfare in the sharing economy. Management Sci.65(2): 477–493.
19.
BenjaafarS.DingJ.‐Y.KongG.TaylorT.. 2020. Labor welfare in on‐demand service platforms. Manuf. Serv. Oper. Manag. Forthcoming.
20.
BernsteinF.DeCroixG.KeskinN. B.. 2019. Competition between two‐sided platforms under demand and supply congestion effects. Manuf. Serv. Oper. Manag. Forthcoming.
21.
BertsimasD. J.Van RyzinG.. 1991. A stochastic and dynamic vehicle routing problem in the Euclidean plane. Oper. Res.39(4): 601–615.
22.
BertsimasD. J.Van RyzinG.. 1993. Stochastic and dynamic vehicle routing in the Euclidean plane with multiple capacitated vehicles. Oper. Res.41(1): 60–76.
23.
BesbesO.CastroF.LobelI.. 2018. Spatial capacity planning. Available at http://ssrn.com/abstract=3292651 (accessed date November 21, 2020).
24.
BesbesO.CastroF.LobelI.. 2019. Surge pricing and its spatial supply responseManagement Sci. Forthcoming.
25.
BimpikisK.PapanastasiouY.. 2019. Inducing exploration in service platforms. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 10. Springer, Cham, 193–216.
26.
BimpikisK.CandoganO.SabanD.. 2019. Spatial pricing in ride‐sharing networks. Oper. Res.67(3): 744–769.
BravermanA.DaiJ.LiuX.YingL.. 2019. Empty‐car routing in ridesharing systems. Oper. Res.67(5): 1437–1452.
29.
CachonG. P.2003. Supply chain coordination with contracts. GravesS.de KokT., eds. Handbooks in Operations Research and Management Science: Supply Chain Management, vol. 11. Elsevier, Amsterdam, 227–339.
30.
CachonG. P.FeldmanP.. 2011. Pricing services subject to congestion: Charge per‐use fees or sell subscriptions? Manuf. Serv. Oper. Manag.13(2): 244–260.
31.
CachonG. P.DanielsK.LobelR.. 2017. The role of surge pricing on a service platform with self‐scheduling capacity. Manuf. Serv. Oper. Manag.19(3): 337–507.
32.
CastilloJ. C.KnoepfleD.WeylG.. 2017. Surge pricing solves the wild goose chase. Proceedings of the 2017 ACM Conference on Economics and Computation. EC ’17, pp. 241–242.
33.
ChenM.HuM.. 2020a. Courier dispatch in on‐demand delivery. Available at http://ssrn.com/abstract=3675063 (accessed date November 21, 2020).
34.
ChenY.HuM.. 2020b. Pricing and matching with forward‐looking buyers and sellers. Manuf. Serv. Oper. Manag.22(4): 717–734.
35.
ChenX.Simchi‐LeviD.. 2004. Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case. Oper. Res.52(6): 887–896.
36.
ChenX.PangZ.PanL.. 2014. Coordinating inventory control and pricing strategies for perishable products. Oper. Res.62(2): 284–300.
37.
ChenM.HuM.WangJ.. 2019a. Food delivery service and restaurant: Friend or foe? Available at http://ssrn.com/abstract=3469971 (accessed date November 21, 2020).
38.
ChenY.‐J.MaglarasC.VulcanoG.. 2019b. Design of an aggregated marketplace under congestion effects: Asymptotic analysis and equilibrium characterization. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 11. Springer, Cham, 217–248.
39.
ChenZ.HuM.ZhouY.. 2019c. Optimal dynamic matching with impatient demand and patient supply. Available at http://ssrn.com/abstract=3329000 (accessed date November 21, 2020).
40.
ChenL.CuiY.LiuJ.LiuX.. 2020a. Wage schemes and platform competition. Available at http://ssrn.com/abstract=3392700 (accessed date November 21, 2020).
41.
ChenN.GallegoG.GaoP.KouS.. 2020b. Dealership or marketplace: A dynamic comparison. Available at https://ssrn.com/abstract=3472161 (accessed date November 21, 2020).
42.
ChenY.‐J.DaiT.KörpeoğluC. G.KörpeoğluE.SahinO.TangC. S.XiaoS.. 2020c. OM forum–Innovative online platforms: Research opportunities. Manuf. Serv. Oper. Manag.22(3): 430–445.
43.
ChuL. Y.WanZ.ZhanD.. 2018. Harnessing the double‐edged sword via routing: Information provision on ride‐hailing platforms. Available at http://ssrn.com/abstract=3266250 (accessed date November 21, 2020).
44.
CohenM. C.ZhangR.. 2019. Competition and coopetition for two‐sided platforms. Available at http://ssrn.com/abstract=3028138 (accessed date November 21, 2020).
45.
CohenM.FiszerM.‐D.KimB. J.. 2020. Frustration‐based promotions: Field experiments in ride‐sharing. Management Sci. Minor revision.
46.
CuiR.LiJ.ZhangD. J.. 2020a. Reducing discrimination with reviews in the sharing economy: Evidence from field experiments on Airbnb. Management Sci.66(3): 1071–1094.
47.
CuiY.OrhunA. Y.HuM.. 2020b. Under the same roof: Value of shared living in airbnb. Available at http://ssrn.com/abstract=3136138 (accessed date November 21, 2020).
48.
DongL.RenL.ZhangD. J.. 2018. Financing small and medium‐size enterprises via retail platforms. Available at http://ssrn.com/abstract=3257899 (accessed date November 21, 2020).
49.
FedergruenA.HechingA.. 1999. Combined pricing and inventory control under uncertainty. Oper. Res.47(3): 454–475.
50.
FedergruenA.HuM.. 2015. Multi‐product price and assortment competition. Oper. Res.63(3): 572–584.
51.
FedergruenA.HuM.. 2017. Competition in multi‐echelon systems. BattaR.PengJ., eds. INFORMS Tutorials in Operations Research. INFORMS, Catonsville, MD, 178–211.
52.
FengG.KongG.WangZ.. 2020. We are on the way: Analysis of on‐demand ride‐hailing systems. Manuf. Serv. Oper. Manag. Forthcoming.
53.
FreundD.HendersonS. G.ShmoysD. B.. 2019. Bike sharing. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 18. Springer, Cham, 435–459.
54.
GallegoG.Van RyzinG.. 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci.40(8): 999–1020.
55.
GargN.NazerzadehH.. 2020. Driver surge pricing. Available at https://ssrn.com/abstract=3390346 (accessed date November 21, 2020).
56.
GorbushinA.HuM.ZhouY.. 2020. Courier sharing in food delivery. Available at http://ssrn.com/abstract=3548978 (accessed date November 21, 2020).
57.
GudaH.SubramanianU.. 2019. Your Uber is arriving: Managing on‐demand workers through surge pricing, forecast communication, and worker incentives. Management Sci.65(5): 1995–2014.
58.
GuoP.TangC. S.TangY.WangY.. 2020. Gender‐based operational issues arising from on‐demand ridehailing platforms: Safety concerns and system configuration. Available at http://ssrn.com/abstract=3260427 (accessed date November 21, 2020).
59.
GurvichI.WardA.. 2014. On the dynamic control of matching queues. Stoch. Syst.4(2): 479–523.
60.
GurvichI.LariviereM.MorenoA.. 2019. Operations in the on‐demand economy: Staffing services with selfscheduling capacity. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 12. Springer, Cham, 249–278.
61.
HassinR.HavivM.. 2003. To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems, vol. 59. International Series in Operations Research & Management Science, Springer US.
62.
HeL.MakH.‐Y.RongY.ShenZ.‐J. M.. 2017. Service region design for urban electric vehicle sharing systems. Manuf. Serv. Oper. Manag.19(2): 309–327.
63.
HuM., ed. 2019. Sharing Economy: Making Supply Meet Demand. Springer Series in Supply Chain Management, vol. 6. Springer, Cham.
64.
HuM.2020. Spatial or temporal pooling solves wild goose chase. Available at http://ssrn.com/abstract=3676065 (accessed date November 21, 2020).
65.
HuM.LiuY.. 2019. Precommitments in two‐sided market competition. Available at http://ssrn.com/abstract=3734828 (accessed date November 21, 2020).
66.
HuM.WangL.. 2019. Created unequal: Bundling with crowdsourced products. Available at https://ssrn.com/abstract=3338314 (accessed date November 21, 2020).
67.
HuM.ZhouY.. 2018. Price, wage and fixed commission in on‐demanmd matching. Available at http://ssrn.com/abstract=2949513 (accessed date November 21, 2020).
68.
HuM.ZhouY.. 2020. Dynamic type matching. Manuf. Serv. Oper. Manag. Forthcoming.
69.
HuB.HuM.ZhuH.. 2020a. Surge pricing and two‐sided temporal responses in ride‐hailing. Manuf. Serv. Oper. Manag. Forthcoming.
70.
HuM.WangJ.WenH.. 2020b. Share or solo? Individual and social choices in ride‐hailing. Available at http://ssrn.com/abstract=3675050 (accessed date November 21, 2020).
71.
IbrahimR.2018. Managing queueing systems where capacity is random and customers are impatient. Prod. Oper. Manag.27(2): 234–250.
72.
JacobJ.Roet‐GreenR.. 2019. Ride solo or pool: The impact of sharing on optimal pricing of ride‐sharing services. Available at http://ssrn.com/abstract=3008136 (accessed date November 21, 2020).
73.
JiangZ.‐Z.KongG.ZhangY.. 2020. Making the most of your regret: Workers’ relocation in on‐demand platforms. Manuf. Serv. Oper. Manag. Forthcoming.
74.
KabraA.BelavinaE.GirotraK.. 2020. Bike‐share systems: Accessibility and availability. Management Sci.66(9): 3803–3824.
75.
KarpR. M.VaziraniU. V.VaziraniV. V.. 1990. An optimal algorithm for on‐line bipartite matching. Proceedings of the Twenty‐Second Annual ACM Symposium on Theory of Computing. ACM, pp. 352–358.
76.
KendallD. G.1951. Some problems in the theory of queues. J. R. Statist. Soc. B Methodol.13(2): 151–185.
77.
KrepsD. M.ScheinkmanJ. A.. 1983. Quantity precommitment and bertrand competition yield cournot outcomes. Bell J. Econo.14(2): 326–337.
78.
LiJ.MorenoA.ZhangD. J.. 2019. Agent pricing in the sharing economy: Evidence from Airbnb. HuM., ed. Sharing Economy: Making Supply Meet Demand, chap. 20. Springer, Cham, 485–503.
79.
LiuY.WangX.GilbertS.LaiG.. 2018. Pricing, quality and competition at on‐demand healthcare service platforms. Available at http://ssrn.com/abstract=3253855 (accessed date November 21, 2020).
80.
LiuZ.ZhangD. J.ZhangF.. 2020. Information sharing on retail platforms. Manuf. Serv. Oper. Manag. Forthcoming.
81.
MaW.Simchi‐LeviD.. 2020. Algorithms for online matching, assortment, and pricing with tight weight‐dependent competitive ratios. Oper. Res. Forthcoming.
82.
MaH.FangF.ParkesD. C.. 2019. Spatio‐temporal pricing for ridesharing platforms. Proceedings of the 2019 ACM Conference on Economics and Computation. EC ’19, pp. 583–583.
83.
MingL.TuncaT. I.XuY.ZhuW.. 2020. An empirical analysis of price formation, utilization, and value generation in ride sharing services. Available at https://ssrn.com/abstract=3338088 (accessed date November 21, 2020).
PetruzziN. C.DadaM.. 1999. Pricing and the newsvendor problem: A review with extensions. Oper. Res.47(2): 183–194.
86.
RochetJ. C.TiroleJ.. 2003. Platform competition in two‐sided markets. J. Eur. Econ. Assoc.1(4): 990–1029.
87.
ShenZ.‐J.SuM, X.. 2007. Customer behavior modeling in revenue management and auctions: A review and new research opportunities. Prod. Oper. Manag.16(6): 713–728.
TaylorT. A.2018. On‐demand service platforms. Manuf. Serv. Oper. Manag.20(4): 704–720.
90.
TruongV.‐A.WangX.. 2019. Prophet inequality with correlated arrival probabilities, with application to two sided matchings. Available at https://ssrn.com/abstract=3338088 (accessed date November 21, 2020).
91.
VillaniC.2009. Optimal Transport: Old and New, vol. 338. Springer‐Verlag, Grundlehren der mathematischen Wissenschaften. Berlin, Heidelberg.
92.
YanC.ZhuH.KorolkoN.WoodardD.. 2020. Dynamic pricing and matching in ride‐hailing platforms. Nav. Res. Log.67(8): 705–724.
93.
ZhuH.RayM.RayS.. 2019. Short‐term housing rentals and corporatization of platform pricing. Available at http://ssrn.com/abstract=3344260 (accessed date November 21, 2020).
94.
ZipkinP.2008. On the structure of lost‐sales inventory models. Oper. Res.56(4): 937–944.
