Pricing Decisions for an On-Demand Crowdsourced Delivery Platform With Differentiated Service Levels

IF 4.6 3区 管理学 Q1 BUSINESS
Ying Dai;Shan He;Zujun Ma
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Abstract

Motivated by the diverse services provided by various on-demand service platforms to satisfy customers’ different needs, we investigate the pricing of an on-demand crowdsourced delivery platform (CDP) with differentiated service levels. Using a multinomial logit model, we propose a two-sided market framework for investigating the pricing decisions of a CDP with two differentiated service levels under a general variable commission scheme and a fixed-rate commission scheme. The results show that 1) the two-sided pricing mechanism (price and wage decisions) allows the supply to match the demand for different service levels, except when the CDP adopts a fixed-rate commission scheme; and 2) depending on the magnitude of the fixed commission rate, adopting a fixed-rate commission scheme has different impacts on the equilibrium outcomes. We also extend our model by including the commission scheme and multiple service levels. The results show that 1) the CDP can achieve a higher optimal profit under the courier classification scheme than under a benchmark variable commission scheme, and 2) offering senders and couriers diversified service levels benefits the CDP. This article provides CDP practitioners with a quantitative tool for pricing for service-level menus.
具有差异化服务水平的按需众包交付平台的定价决策
受各种按需服务平台为满足客户不同需求而提供的多样化服务的启发,我们研究了具有差异化服务水平的按需众包配送平台(CDP)的定价问题。我们利用多叉 logit 模型,提出了一个双面市场框架,用于研究在一般浮动佣金方案和固定佣金方案下,具有两种差异化服务水平的众包配送平台的定价决策。结果表明:1)双面定价机制(价格和工资决策)允许不同服务水平的供给与需求相匹配,但当 CDP 采用固定佣金方案时除外;2)根据固定佣金率的大小,采用固定佣金方案会对均衡结果产生不同的影响。我们还对模型进行了扩展,加入了佣金方案和多种服务水平。结果表明:1)与基准浮动佣金方案相比,快递分级方案下的 CDP 可以获得更高的最优利润;2)为寄件人和快递员提供多样化的服务水平有利于 CDP。这篇文章为 CDP 从业人员提供了服务等级菜单定价的量化工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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