基于AHP的经济型酒店客房定价策略研究

酒店客房定价要想既使企业获利、又让顾客满意是经济型酒店需要解决的重要问题。在分析归纳影响经济型酒店客房定价主要因素的基础上,运用层次分析法(AHP)对其主要影响因素进行了定量分析,依据分析结果提出了相应的定价策略。     

基于网络营销的酒店客房定价策略研究

酒店网络营销具有开放性、互动性、灵活性等特点,有助于酒店以较低的成本开拓市场,同时为消费者进行消费决策提供丰富的信息来源。在网络营销中,酒店客房价格往往是酒店、消费者和竞争对手共同关注的焦点。基于网络营销的特点,酒店在进行客房定价过程中,除了应考虑传统客房定价方式中的各类影响因素外,还应充分重视互联网对客房定价的影响。在传统定价方式的基础上,寻求更加有利于网络营销的客房定价策略。     

低碳旅游视角下酒店客房管理研究

随着旅游业的向前发展与之相关的酒店行业也有了长足的发展。但是由于过去人们环保意识的薄弱,使得我国的环境受到了破坏。秉承可持续发展的原则,我国现今在全国范围内实施低碳旅游的政策,并且围绕着低碳旅游政策,制定了一系列的政策法规,鼓励人们自动自发的实行低碳旅游模式。酒店客房管理便是其中的重要环节。     

BOT模式下公租房租金定价研究

随着公租房建设规模的不断扩大,BOT作为一种新的投资运营模式被越来越广泛使用。在BOT模式下,进行服务水平影响承租需求的公租房租金定价研究,可以丰富当前公租房租金定价理论。因此,本文从民营企业参与投资运营公租房项目的角度,研究民营企业的租金价格以及服务水平对承租需求的影响,在此基础上构建租金定价及服务水平决策模型,并就进一步完善公租房租金定价机制提出建议。     

浅谈通胀压力下的企业定价

在目前通货膨胀压力的前提下,产品涨价与否成为考验企业竞争力的重要因素.本文通过企业在应对产品是否涨价的问题上对消费者的影响及采取的应对措施上作进一步分析.     

如何建立植入式广告的定价模式

植入广告为何难以定价？根本原因在于植入广告更注重信息或意识的传达,所以对其效果的量化面临着更为复杂的变量。在此我们从广告的植入形式和系统要素两个角度来预估植入式广告的价值。     

跨地区调水准市场定价模式研究

跨地区调水定价模式不仅关系到调水系统的良性运行,还关系到水资源的优化配置和社会的可持续发展。水资源的准公共物品特征再加上供水行业的自然垄断性,使得纯粹的政府定价模式或市场定价模式都是不可行的,必须将两者结合起来,实行准市场定价模式。文章介绍了准市场概念的由来和准市场定价模式的含义,通过分析市场定价模式和政府定价模式的缺陷,说明了跨地区调水实行准市场定价模式的原因,并从政府作用和市场作用两个方面对准市场定价模式进行了构建。     

C2C网上交易模式下的定价策略研究

C2C网上交易模式作为近年来发展较为迅速的一种商业模式,网店的低门槛使得大量的网上交易得以实现。在这样的营销环境下,C2C网上交易卖家可以通过选择适合自己的定价模式,探寻与同类竞争对手差异化的定价策略以获得竞争优势,如低价渗透策略、附属产品定价策略、动态价格促销策略、价格分割定价策略和捆绑组合定价策略等。     

竞争环境下快递行业动态定价策略研究

网购交易的迅猛发展带动了快递行业的迅速扩张,也加剧了快递行业的竞争,导致快递件均收入大幅下降.同城快递、首重快递在快递中占较大比重,研究首重快递定价的影响因素,可以为快递公司合理定价及价格调整提供依据.构建多元线性回归模型分析首重快递定价的影响因素,结果表明:高速运输距离、快递业务量、交通状况和人口密度与快递首重价相关,其中高速运输距离最密切相关,其次是交通拥堵指数,快递公司可根据油耗成本和交通状况的变化适时调整快递首重价,以取得合理的经济效益.     

我国商业银行贷款定价模式的研究

随着我国利率市场化进程的不断推进,贷款利率也正走向市场化。贷款作为银行目前最主要的盈利性资产,其价格直接影响到银行的盈利水平。因此,如何建立贷款定价机制,确定合理的贷款价格对于我国各商业银行来说都是非常重要的。银行从贷款定价考虑贷款定价的因素,导入西方商业银行现行的贷款定价模式,并制定适合我国商业银行的贷款定价模式。     

How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform

With rapid economic growth largely fueled by digital technologies, online reviews are among the new wave of technologies that still make a significant contribution to this new digital economy. However, there is scarce academic research in promoting or responding online reviews using reduction coupons with threshold issued by sellers and pricing decisions. We employ a three-stage least squares (3SLS) model to estimate the effects of online reviews and coupons on online product sales and price. We also extend our research using the data of two product categories. Our results mainly include: (1) Negative impact of negative online reviews on sales is moderated by price, and consumers are more tolerant of negative reviews of high-priced products. (2) Consumers' perceived usefulness of online coupons helps promote more sales and weaken the relationship between negative reviews and sales. (3) Positive online reviews weaken the negative relationship between online negative reviews and the price of product. (4) Consumers’ increased perceived usefulness of online coupons will encourage sellers to set a higher price and weaken the negative relationship between negative reviews and the price of product. (5) Compared with the search product, sellers regard negative reviews from the product with experience attributes as less helpful and apply less effective coupon promotion to response to negative reviews. Our study clarifies the interaction between online reviews and online coupons on e-commerce platforms under the operation scenario. We also provide empirical support for accurate promotion and higher sales revenue through reasonable pricing decisions and specified reduction coupons.     

Incorporating sales and marketing considerations into a competitive multi-echelon distribution network design problem with pricing strategy in a stochastic environment

This paper presents a multi-echelon distribution network design problem with pricing strategy in a stochastic environment, where location, inventory, and pricing decisions in retail and wholesale channels are made simultaneously. The considered network is comprised of a central warehouse, a set of distribution centers, and a set of retailers and wholesalers. The objective of the problem is to maximize the supply chain profit. The decisions include the location of distribution centers and the allocation of retailers and wholesalers to them, order-size for each distribution center and product price at retail and wholesale channels for different payment conditions. A mixed-integer nonlinear mathematical model was formulated and solved using the Lagrangian relaxation method and a Genetic algorithm. Computational results indicate that Lagrangian relaxation algorithm has good performance in terms of objective function value and runtime, even in large sized problems.     

Effects of pricing and promotion on consumer perceptions: it depends on how you frame it

This research examined the extent to which different promotional frames increased perceptions of deal value. Price discounts dominate the sales promotions employed by marketers. The framing literature suggests discounts have robust positive effects on consumer perceptions of deal value. However, the current research showed that negative quality inferences moderated discount framing effects and undermined deal value, particularly when no assurance of product quality was provided. Every-day-low-price offers were also vulnerable to negative quality inferences, while free gift frames maintained quality perceptions and increased deal value. Product trial acted to further magnify promotional framing effects, according to a confirmation bias. These findings were consistent with an attribute framing mechanism.     

Pricing of mall services in the presence of sales leakage

For a shopping mall, sales leakage occurs when consumer purchases facilitated by the mall are finalized outside it. These sales include, for example, catalog orders filled at the leased premises in a physical mall; For an Internet mall, they include the ones consumers make on an on-line store’s website after learning about the store from an Internet mall website. While these sales are difficult to track in the physical mall, Internet malls like Yahoo can track them by placing cookies on consumers when they visit the mall. The challenge for a mall owner then is to design an appropriate pricing model which takes sales leakage into account. In fact, Yahoo currently uses an All-Revenue-Share Fee with Yahoo collecting from on-line stores a share of all sales revenue, regardless of whether the purchase was made through the mall or directly from the store’s own URL. We explore this new All-Revenue-Share Fee model, compare it with the commonly used Fixed Fee model and the two-part tariff model, and identify the model with the highest profits for the mall under different conditions. We suggest that although an All-Revenue-Share Fee is appealing for Internet malls due to its ability to capture sales leakage directly, it may cause the stores to refrain from joining the mall in certain circumstances. Thus, in certain situations charging a fixed monthly fee can actually be more profitable for the mall versus the All-Revenue-Share Fee model. We also examine how mall and product category characteristics as well as market expansion affect the optimal pricing strategy. We show that a mall should price discriminate across product categories, not just by charging different amounts of fees, but by using different pricing models. Our research provides many managerial implications on how to price over time.     

The effect of multi-purpose shopping on pricing and location strategy for grocery stores

Though it is a well-accepted fact that consumers indulge in multi-purpose shopping, most previous models of store choice assume that grocery shopping trips are single-purpose trips. This paper provides the first empirical analysis of multi-purpose shopping using data on actual shopping trips. A latent class factor analytic logit model is proposed, which provides a representation of the market structure of grocery store competition, while integrating; multi-purpose shopping, retail pricing format and location strategy. We conclude that incorporating multi-purpose shopping trips provides a better understanding of the competitive market structure, and discuss the managerial implications for the selection of marketing strategies.     

Effects of pricing strategies and product quality on private label and national brand performance

Using product test ratings and panel data from more than 35,000 participating households in Germany, this study addresses the impacts of price, quality, and promotion shares on the market shares of different products, including national brands and private labels, as well as food and non-food products. The results of a path analysis reveal important differences across the four segments, as well as insights regarding the use of everyday low price and high–low retail pricing strategies. The findings also lead to key implications for manufacturers and retailers.     

网络服务经济环境下的服务产品定价方法研究

通过对已有文献的梳理并结合网络服务经济环境下服务产品的特点将网络服务产品分为知识产权、内容和资源版权以及数据资产三大类别,并根据不同类别资产的特征先系统分析了其定价的影响因素和评估指标体系;再分别梳理了三类产品传统和新兴的定价模型和方法;最后基于网络服务产品的影响因素和评估指标体系提出了两种探究网络服务环境下服务产品定价的基本模型。     

基于C#.NET的中小零售企业销售系统设计

系统采用C#语言,基于微软公司的.NET平台,开发适用于中小型商业零售批发企业的销售系统。整个系统以商品为主线,围绕着商品进行进销存的集中管理,实现企业基本的销售,统计,核算的功能。     

中国森林碳汇定价研究

森林作为陆地上最大的碳库,其碳汇能力俨然成为各国应对全球气候变化不利影响的主要措施,如何准确地估算森林碳汇价格对于森林碳交易市场的完善以及森林碳汇能力的发挥具有重大意义。基于中国1990—2018年林业发展的相关数据,利用超越对数生产函数模型,通过自相关检验与多重共线性检验并结合岭回归分析方法推导出森林碳汇价格的核算方程,运用此价格核算方程估算了中国1990—2018年的森林碳汇价格。研究发现:中国1990年的森林碳汇价格为8.422元,而到了2018年其价格已经上涨到387.282元,年均增长率为14.56%,年均价格为120.294元。森林碳汇价格总体上随着时间以及投入要素的变化呈现出不断上涨的趋势,但也存在一定的波动。     

人民币国际计价功能的特点研究

随着中国对外开放程度不断提高,人民币逐渐走出国门,特别是党的十八大以来,人民币加入特别提款权(SDR),其国际货币的地位初步奠定。目前,人民币已成为全球第五大支付货币,全球已有60多个央行或货币当局将人民币纳入外汇储备。本文结合人民币国际计价功能的发展,对其特点进行了具体分析。研究发现:人民币计价功能的区域性特征明显,人民币在国际金融计价中的比重增长较快,增加人民币供给为其实现国际计价功能提供了有力保障,互联网和移动支付是实现人民币计价功能的重要通道。