PRICE DEMAND MODEL FOR A CLOUD CACHE

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution

CONCEPTUAL MODEL AND OPERATIONAL PROCESSES OF CUSTOMER VALUE-BASED REVENUE MANAGEMENT IN TRANSPORT AND LOGISTICS

The approach presented in this article addresses the shortcomings of transaction-based revenue management and proposes a conceptual model of customer value-based revenue management to allow for both an efficient utilization of limited capacity resources and the establishment of profitable customer relationships. Furthermore, process models are developed for the operational tasks as well as results of a prototypical implementation are presented. Finally, some concluding remarks and an outlook on remaining research are given

Differentiation, self-selection and revenue management

This is a post-peer-review, pre-copyedit version of an article published in Journal of Revenue and Pricing Management. The definitive publisher-authenticated version is available online at: http://www.palgrave-journals.com/rpm/index.htmlThis paper takes an interdisciplinary approach towards revenue management, incorporating economics and marketing concepts and proposing that firms employ a dynamic service differentiation so that consumer needs are met more closely. To locate market segments, the paper proposes that firms employ segmentation based on self-selection, providing consumers with an array of choices that are truth revealing and allowing firms to price discriminate without the need to predetermine segments. Through differentiation and self selection, uncertainty could also be reduced. Furthermore, self selection could also allow firms to reduce the costs of coordinating and monitoring rate fences

Hotel Revenue Management Performance Influencing Mechanism: Theoretical Framework and Research Propositions

Revenue management, a management concept which was first used in the US airline industry and has been widely used in other service industries especially hotel industry because of the significant effect. Especially in recent years, revenue management has become an important competition strategy in the hotel. But so far, academic research about hotel revenue management influence mechanism and performance evaluation is still extremely limited. Based on the influencing factors-decision behavior-performance evaluation logical relationship, combing through the literature review, this paper discussed the relationship between revenue management influence factors and the performance evaluation, proposed the theory framework concerning influence mechanism of hotel revenue management performance evaluation and research propositions

Pricing Perishables with Uncertain Demand, Substitutes, and Consumer Heterogeneity

Within the marketing window for perishables such as food products, demand uncertainty is complicated by price sensitivity and propensity to postpone purchase that is heterogeneous across consumers. These features pose substantial challenges to retailers when pricing multiple products over time and across consumer segments. Getting the dynamic profile of prices right has implications for performance of vertical food chains ranging from revenues to food waste. This paper proposes an approach to dynamic pricing that is demonstrated to improve performance within this setting