基于顾客公平偏好的服务机制与定价研究

由于顾客异质性（单位时间等待成本不同），服务提供商通常对顾客采取分类服务策略，然而分类服务会引起服务系统中不同类型顾客之间等待时间和服务价值的差异性，从而给顾客带来心理上的不公平感，进而引起顾客在服务系统中的流动和转移，进一步影响企业收益和社会福利。本文针对非抢占M/M/1服务系统顾客分类情形为背景，由两种顾客之间期望等待时间的不同和公平偏好参数相结合构建普通顾客的公平心理效用模型，以垄断型服务系统为背景，分别从企业收益、社会福利与顾客效用三个视角进行分析。研究表明，服务提供商应对顾客采取可观测型的分类服务机制来获得最大收益；从社会福利视角，服务提供商应对顾客采取不可观测型的分类服务机制；从顾客效用视角，服务提供商应取消顾客分类服务，仅保留普通顾客。最后同现有结论进行比较分析，并进行拓展研究。本文研究对服务提供商采取合理的服务机制及相应的服务定价具有重要参考价值和指导意义。     

基于异质性顾客心理期望等待时间的优先权服务定价研究

本文以非抢占式M/M/1排队系统为背景,以企业收益最大化为目标,基于顾客异质性(单位时间等待成本不同)将顾客分为两类,针对顾客的心理期望等待时间对服务提供商最优定价策略的影响进行研究。首先研究优先权顾客心理期望等待时间对企业收益的影响以及相应的优先权定价,然后研究优先权顾客和普通顾客同时存在心理期望等待时间对企业收益的影响和相应的优先权定价。研究表明:仅考虑优先权顾客的心理期望等待时间,企业应通过提高优先权定价来获得最优收益;当优先权顾客和普通顾客同时存在心理期望等待时间时,企业仍然采取提高优先权定价的策略,若普通顾客的价值大(获取服务的基本费用大),企业应对普通顾客提供一定的折扣来消除其心理期望等待时间增加企业收益;如果普通顾客的价值较小,企业应"有意"流失部分普通顾客,吸引更多顾客到优先权队列获取服务来获得更多收益。本文研究对于服务提供商在考虑顾客心理期望等待时间基础上设置最合理的队列机制有一定的指导意义和实际应用价值。     

基于顾客心理期望等待时间的服务策略研究

顾客在排队系统获取服务时，会存在心理上的期望等待时间，该期望会影响顾客在排队系统中的行为变化和流动，从而影响企业收益。本文以传统的M/M/1排队系统为背景，基于顾客存在期望等待时间的前提下，以企业收益最大化为优化目标进行研究。首先，对相应基础理论和模型假设进行介绍；其次，对顾客存在心理期望等待时间情形提出三种新的策略：重新定价、通过折扣对顾客期望值进行调整、提高服务率；然后，分别对上述三种策略进行优化分析，并同现有结果进行比较；研究表明：三种策略都比维持原有定价带来更大收益；当折扣力度较小时或顾客对费用感知强于时间感知时，折扣策略优于重新定价策略；当折扣力度较大或顾客对时间感知强于费用感知时，重新定价策略优于折扣策略；最后，通过对最优结果分析提出相应管理启示。本文的研究对于顾客存在心理期望等待时间的服务定价具有重要的指导意义和实际应用价值。     

基于顾客等待厌恶的会员制排队服务设计与差异化定价研究

设计合理的服务机制以及制定完善的服务定价策略对于企业的发展至关重要,服务提供商通过设计合理的服务策略可以获得最优的服务收益。在会员制排队服务中,通常会存在会员顾客和非会员顾客两类顾客,服务非会员顾客势必会增加会员顾客的排队等待时间,进而引发会员顾客等待厌恶的心理。因此,本文以会员制排队服务为研究背景,针对市场中存在的会员顾客和非会员顾客,在服务提供商对两类顾客实施差异化定价时,研究会员顾客等待厌恶心理对服务提供商服务策略和服务定价的影响。结果表明,当会员顾客等待厌恶程度较小或适中时,服务提供商可以同时服务非会员顾客和会员顾客;当会员顾客等待厌恶程度较大时,服务提供商应该只服务会员顾客。此外,随着等待厌恶程度的增大,会员顾客的最优定价会先减小后增大,非会员顾客的最优定价会先保持不变后逐渐增大。本文的研究对于会员制服务提供商服务策略和服务价格的设定具有一定的指导作用和应用价值。     

基于不公平厌恶或地位追求的创新顾客最优合同类型研究

本文首先从创新顾客的公平偏好程度、薪酬合同类型（最优激励系数）与激励机制效果的关系入手,引入公平偏好理论（不公平厌恶和地位追求）、相对绩效评估（RPE）和参与成本要素,构建顾客参与企业新产品开发的激励模型;其次,通过模型求解和分析,探讨分析各类薪酬合同中风险成本、不公平预期损失和激励效果之间的关系;最后,通过仿真实验验证并确定企业采用的创新顾客最优薪酬合同类型。研究发现：在同一薪酬合同下,创新顾客愈不在意其参与成本的投入,该合同的激励效果愈积极;关于创新顾客最优合同类型的选择,意味着求解一个三方面权衡,包括风险成本、不公平预期损失和公平偏好的激励效果;对于公平偏好程度较低的创新顾客,企业可采用相对绩效合同,例如锦标竞争合同;对于公平偏好程度较高的创新顾客,当其风险规避程度较高时,可采用团队报酬合同,当其风险规避程度较低时,可采用完美团队合同。     

服务交易关系与使用程度对转换成本和顾客保留的影响

通过对来自互联网接入和信用卡服务行业的447个消费者样本进行基于结构方程模型的数据分析,考察服务使用程度、转换成本与顾客保留之间的关系,并探讨服务交易关系类型对服务使用程度→转换成本→顾客保留路径的调节作用.研究结果表明,对于独占型和非独占型交易关系的服务,转换成本对顾客保留均具有显著的正影响效应.当顾客与服务企业的交易关系为独占型时,现供应商服务的使用程度和竞争者服务的使用程度两个变量对转换成本的影响都不显著,它们对转换成本的相对影响力也无差异;竞争者服务的使用程度对顾客保留具有显著影响,但现供应商服务的使用程度对顾客保留的直接影响不显著.当顾客与服务企业的交易关系为非独占型时,现供应商服务的使用程度和竞争者服务的使用程度两个变量在影响转换成本和顾客保留中发挥的作用没有明显差别.     

卓越体验才能赢得顾客忠诚

在非垄断行业里,当代企业间竞争实质已转变为:无论企业采取何种竞争策略、构建何种竞争优势,归根结底都须围绕能否实现为消费者创造卓越的消费体验为核心,唯有此,才能真正赢得客户的认可和忠诚,并最终真正赢得市场竞争的胜利成果.忠诚顾客是盈利保证 实践表明,在消费者主导的市场条件下,顾客的品牌忠诚对企业的底线收益比市场份额、成本、盈利能力等因素相比具有更强的效应,顾客品牌忠诚是现代企业最宝贵、最可靠、最稳定的资产,其直接关系到企业的生死存亡. 研究也显示,保留顾客和公司利润率之间有着非常高的相关性,顾客保留的时间越长,从企业购买的商品和服务也越多,带给企业的价值也就越大;顾客不履约率下降5％,则公司利润率将上升25％-85％,而且开发一个新的顾客所花费的费用是保留一个顾客费用4-6倍左右.不仅如此,忠诚的顾客愿意接受溢价,而且经常通过向潜在顾客进行口碑推荐而为企业带来新的生意.     

不同竞合模式的战略联盟形式选择

利用多阶段动态博弈方法来探讨不同竞合模式的联盟形式选择问题，得出如下结论：从产业产量最大化角度，政府部门愿意让企业选择只在R＆D阶段合作的R＆D联盟形式；从R＆D费用水平最小化角度，企业会选择不联盟；从企业联合利润最大化角度，如果全联盟的利润大于半联盟的利润，企业选择R＆D联盟和产销联盟形式；反之，企业选择R＆D联盟形式；从企业利润最大化和R＆D费用水平最小化角度，企业会在R＆D阶段选择R＆D联盟形式后，在生产销售阶段选择领先战略     

基于碳排放的废弃产品回收站点分布研究

基于碳税价格对废弃产品回收运营决策的影响考虑,本文从整个社会的视角,把顾客、回收站点、回收总站作为一个整体进行考虑,并分析碳税价格对回收站点数量和成本的影响。首先,将顾客、回收站点和回收处理中心作为整体,考虑能源成本、运营成本和碳排放费用,建立废弃产品回收站点分布的社会总成本模型。接着,对碳税价格为零和碳税价格无穷大两种极端情况,分析了回收站点的数量、碳税价格、社会总成本等因素之间的关系。最后对模型进行数值计算。结果表明：当前碳税价格下,同时考虑碳税成本和运营费用或仅考虑运营费用这两种情况计算出来的回收站点数量相等,单位总成本区别不显著,即碳税价格对运营影响不大;若仅考虑碳税成本,则回收站点数量变化较大,即合理的碳税价格对运营影响显著;碳税价格理想的定价应该在40.03至66.46之间;回收站点数量为66时,碳排放量最优。     

基于顾客选择行为的多质量等级时鲜产品定价策略研究

基于现实中广泛存在的不同质量等级时鲜产品销售的现象,本文研究了追求收益最大化的销售商定价策略。我们考虑两种质量等级的情形,从顾客在不同等级产品之间的选择行为出发,研究了产品数量既定情形下销售商的最优折扣定价决策。同时,我们将这种"分离"销售策略与混合销售策略进行了对比。研究表明,当潜在顾客规模较小或产品供给相对较多时,分离策略相对混合策略的收益改进是更为显著的。     

Self‐Selecting Priority Queues with Burr Distributed Waiting Costs

Service providers, in the presence of congestion and heterogeneity of customer waiting costs, often introduce a fee‐based premier option using which the customers self‐segment themselves. Examples of this practice are found in health care, amusement parks, government (consular services), and transportation. Using a single‐server queuing system with customer waiting costs modeled as a Burr Distribution, we perform a detailed analysis to (i) determine the conditions (fees, cost structure, etc.) under which this strategy is profitable for the service provider, (ii) quantify the benefits accrued by the premier customers; and (iii) evaluate the resulting impact on the other customers. We show that such self‐selecting priority systems can be pareto‐improving in the sense that they are beneficial to everyone. These benefits are larger when the variance in the customer waiting costs is high and the system utilization is high. We use income data from the poorest and richest areas (identified by zipcode) in the United States along with the countrywide income distribution to illustrate our results. Numerical results indicate that planning for a 20–40% enrollment in the high‐priority option is robust in ensuring that all the stakeholders benefit from the proposed strategy.     

Pricing in a Transportation Station with Strategic Customers

We consider a transportation station, where customers arrive according to a Poisson process, observe the delay information and the fee imposed by the administrator and decide whether to use the facility or not. A transportation facility visits the station according to a renewal process and serves all present customers at each visit. We assume that every customer maximizes her individual expected utility and the administrator is a profit maximizer. We model this situation as a two‐stage game among the customers and the administrator, where customer strategies depend on the level of delay information provided by the administrator. We consider three cases distinguished by the level of delay information: observable (the exact waiting time is announced), unobservable (no information is provided) and partially observable (the number of waiting customers is announced). In each case, we explore how the customer reward for service, the unit waiting cost, and the intervisit time distribution parameters affect the customer behavior and the fee imposed by the administrator. We then compare the three cases and show that the customers almost always prefer to know their exact waiting times whereas the administrator prefers to provide either no information or the exact waiting time depending on system parameters.     

Quality‐Speed Competition in Customer‐Intensive Services with Boundedly Rational Customers

We consider a system in which two competing servers provide customer‐intensive services and the service reward is affected by the length of service time. The customers are boundedly rational and choose their service providers according to a logit model. We demonstrate that the service provider revenue function is unimodal in the service rate, its decision variable, and show that the service rate competition has a unique and stable equilibrium. We then study the price decision under three scenarios with the price determined by a revenue‐maximizing firm, a welfare‐maximizing social planner, or two servers in competition. We find that the socially optimal price, subject to the requirement that the customer actual utility must be non‐negative, is always lower than the competition equilibrium price which, in turn, is lower than the revenue‐maximizing monopoly price. However, if the customer actual utility is allowed to be negative in social optimization, the socially optimal price can be higher than the other two prices in a large market.     

虚拟顾客服务系统排队模型

通过对虚拟企业售后服务部门的顾客排队网络的分析 ,确定了一种顾客具有优先权的多级顾客服务排队模型 .以顾客满意度为条件计算出了稳定平衡状态下排队系统的主要指标 ,并从收益、成本和效率等方面建立了排队系统的优化问题 ,从而可得到服务部门最优基准服务能力 .基准服务能力的确定 ,对服务能力的有效安排和组织具有重要的指导意义     

The Impact of Revenue‐Maximizing Priority Pricing on Customer Delay Costs

Speed is an increasingly important determinant of which suppliers will be given customers' business and is defined as the time between when an order is placed by the customer and when the product is delivered, or as the amount of time customers must wait before they receive their desired service. In either case, the speed a customer experiences can be enhanced by giving priority to that particular customer. Such a prioritization scheme will necessarily reduce the speed experienced by lower‐priority customers, but this can lead to a better outcome when different customers place different values on speed. We model a single resource (e.g., a manufacturer) that processes jobs from customers who have heterogeneous waiting costs. We analyze the price that maximizes priority revenue for the resource owner (i.e., supplier, manufacturer) under different assumptions regarding customer behavior. We discover that a revenue‐maximizing supplier facing self‐interested customers (i.e., those that independently minimize their own expected costs) charges a price that also minimizes the expected total delay costs across all customers and that this outcome does not result when customers coordinate to submit priority orders at a level that seeks to minimize their aggregate costs of priority fees and delays. Thus, the customers are better off collectively (as is the supplier) when the supplier and customers act independently in their own best interests. Finally, as the number of priority classes increases, both the priority revenues and the overall customer delay costs improve, but at a decreasing rate.     

Pricing and Operational Performance in Discretionary Services

In many services, for example, website or landscape design, the value or quality derived by a customer depends upon the service time, and this valuation differs across customers. Customers procure the service based on the expected value to be delivered, prices charged, and the timeliness of service. We investigate the performance of the optimal pricing scheme as well as two commonly used pricing schemes (fixed fee and time‐based pricing) for such services on important dimensions such as revenue, demand served, and utilization. We propose a novel model that captures the above features and wherein both service rate and demand are endogenous and functions of the pricing scheme. In particular, service time is an outcome of the pricing scheme adopted and the heterogeneous valuations of customers, unlike in the queueing‐based pricing literature. We find that the service system may benefit from a greater variance in consumer valuations, and the performance of pricing schemes is impacted by the shape of the distribution of customers' valuation of service time and the responsiveness desired by customers. Both the fixed fee and time‐based schemes do well relative to the optimal pricing scheme in terms of revenue in many plausible scenarios, but there are substantial differences between the pricing schemes in some important operational metrics. For instance, the fixed fee scheme serves more customers and has higher utilization than the time‐based scheme. We also explore variants of the fixed and time‐based schemes that have better revenue performance and show that the two‐part tariff which is a combination of fixed and time‐based pricing can do as well as the optimal scheme in terms of revenue.     

成本信息不对称下的应用服务外包菜单式合约

客户企业实施应用服务外包时,面临着成本信息不对称所带来的风险。针对该问题,以客户企业期望收入最大化为目标,在应用服务提供商(Application Service Provider, ASP)所拥有的成本效率参数及努力水平不可观测下研究客户企业如何通过服务外包菜单式合约的设计激励ASP付出最优的努力水平,并显示出真实的成本信息。研究表明,收益共享系数是成本效率参数、风险规避度、产出方差的减函数;客户企业向ASP支付的期望服务报酬除了补偿保留效用与服务生产成本还将额外支付风险成本、信息租金;风险成本随风险规避度、产出方差递增,随成本效率参数递减;信息租金随风险规避度、产出方差、成本效率参数递减。