Variable pricing business solutions in a decomposed business environment

Evolving business models and technology advances have facilitated the creation of innovative pricing strategies. Variable pricing represents the ability to configure a pricing schedule from a set of pricing options such as fixed cost, usage, shared benefit, and performance. The objective of variable pricing is to improve a pricing schedule for the mutual benefits of the provider and consumer, based on an evaluation of criteria that results in the setting of a price as a function of the expected value to be derived, as well as the time and materials used. In this paper, we focus on the variable pricing of ‘business solutions’, which is abstractly defined as the capabilities that enable or add value to the purposes of an enterprise. In a decomposed business environment, the structure of a business is partitioned into discrete business components that are assigned specific purposes and are endowed with resources to meet them. Business components interact to achieve business goals, and do so by exposing their capabilities through business services they offer. Business services have suitable levels of granularity offering constituent units of function, which, when selectively chosen and composed, form business solutions. We assert that business services are also suitable units for variable pricing, the implication being that pricing for a given business solution is an evaluation of the variable pricing of its assemblage of business services. The benefits of this ‘variable price composition’ approach offer greater accuracy for the pricing plan, coupled with increased flexibility to compose, modify, calculate and articulate pricing for business solutions.

[1]  H. Varian A Model of Sales , 1980 .

[3]  Frank Leymann,et al.  Web services and business process management , 2002, IBM Syst. J..

[4]  Xi-Ren Cao,et al.  Internet pricing with a game theoretical approach: concepts and examples , 2002, TNET.

[5]  Tony Andrews Business Process Execution Language for Web Services Version 1.1 , 2003 .

[6]  Juhnyoung Lee Model-driven business transformation and the semantic web , 2005, CACM.

[7]  Ian T. Foster,et al.  The anatomy of the grid: enabling scalable virtual organizations , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[8]  Paul Timmers,et al.  Business Models for Electronic Markets , 1998, Electron. Mark..

[9]  W. Lieberman The Theory and Practice of Revenue Management , 2005 .

[10]  B. Beamon Supply chain design and analysis:: Models and methods , 1998 .

[11]  K. Douglas Hoffman,et al.  Pricing retail services , 2002 .

[12]  Anil Nigam,et al.  Realizing business components, business operations and business services , 2004, IEEE International Conference on E-Commerce Technology for Dynamic E-Business.

[13]  Miroslaw Malek,et al.  Current solutions for Web service composition , 2004, IEEE Internet Computing.

[14]  Yadati Narahari,et al.  Dynamic pricing models for electronic business , 2005 .

[15]  Yannis Bakos,et al.  The emerging role of electronic marketplaces on the Internet , 1998, CACM.

[16]  Pravin Varaiya,et al.  Correction to "A new approach to service provisioning in ATM networks" , 1993, TNET.