Titlebook: Sharing Economy; Making Supply Meet D Ming Hu Book 2019 Springer Nature Switzerland AG 2019 Collaborative Consumption.Crowdfunding.Crowdsou

ALIBI

Pricing and Matching in the Sharing Economyand matching. Platforms like Uber charge the customers a price for using the services or goods and offer the crowdsourced suppliers a wage or pay for providing the services or goods. First, we study how the platform could optimally set the price and the wage for a single service or product in differ

引起痛苦

耐寒

Inducing Exploration in Service Platformsketplaces, including Yelp, TripAdvisor, Netflix, and Amazon. Customers may find such information useful when deciding between potential alternatives; at the same time, the process of generating such content is mainly driven by the customers’ decisions themselves. In other words, the service platform

举止粗野的人

Design of an Aggregated Marketplace Under Congestion Effects: Asymptotic Analysis and Equilibrium Ch∕.∕1 queues that compete for these requests. Each supplier submits a bid that comprises of a fixed price and a dynamic target leadtime, and the cheapest supplier wins the order as long as the quote meets the buyer’s willingness to pay. We characterize the asymptotic performance of this system as the

吹牛需要艺术

Operations in the On-Demand Economy: Staffing Services with Self-Scheduling Capacityorkers self-schedule. Our service provider chooses capacity to maximize its profit (revenue from served customers minus capacity costs) over a horizon. Because demand varies over the horizon, the provider benefits from flexibility to adjust its capacity from period to period. However, the firm contr

Override

On Queues with a Random Capacity: Some Theory, and an Applicationd in modern business environments, such as those arising in the sharing economy, where workers enjoy various degrees of flexibility, including the right to decide when to work. For example, a ride-sharing service cannot impose on its drivers to be on the road at specific times; similarly, a virtual

EXCEL

诱骗

Threshold Discounting: Operational Benefits, Potential Drawbacks, and Optimal Designterest in it, pioneered by Groupon. We model a capacity-constrained firm offering service to a random-sized population of strategic customers in two representative time periods, a desirable hot period and a less desirable slow period. A comparison with the traditional approach typically employed in

aggravate

Innovation and Crowdsourcing Contestseneous in their ability levels, exert efforts to improve their solutions, and their solution qualities are uncertain due to the innovation and evaluation processes. In this chapter, we present a general model framework that captures main features of a contest, and encompasses several existing models

debase