Dynamic Pricing for Network Service: Equilibrium and Stability
Management Science
Internet demand under different pricing schemes
Proceedings of the 1st ACM conference on Electronic commerce
Dynamic pricing by software agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - electronic commerce
Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy
CooplS '02 Proceedings of the 7th International Conference on Cooperative Information Systems
Dynamic Netvalue Analyzer - A Pricing Plan Modeling Tool for ISPs Using Actual Network Usage Data
WECWIS '02 Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02)
Multi-Attribute Dynamic Pricing for Online Markets Using Intelligent Agents
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Analytical network process for software selection in product development: A case study
Journal of Engineering and Technology Management
Evaluating and selecting software packages: A review
Information and Software Technology
Pricing Strategies for Information Technology Services: A Value-Based Approach
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Model-based testing approaches selection for software projects
Information and Software Technology
An Approach for Selecting Software-as-a-Service (SaaS) Product
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Optimization of software components selection for component-based software system development
Computers and Industrial Engineering
Journal of Systems and Software
Journal of Systems and Software
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In this paper, we present an agent-based simulation system that allows modeling the interactions between software buyers and vendors in a software market. The market offers Software-as-a-Service (SaaS) and perpetual software (PS) licenses under different pricing schemes. Four dynamic pricing schemes are analyzed: derivative-follower pricing, demand-driven pricing, skimming pricing, and penetration pricing. Customer (buyer) agents respond to these prices by selecting the most appropriate software license scheme based on four criteria using the Analytic Hierarchy Process (AHP) decision support mechanism. The four decision criteria relate to finance, software capability, organization, and vendor. The simulation results show that the demand-driven pricing scheme is the most effective method but hard to implement since it requires perfect knowledge about market conditions. As an alternative, penetration pricing and skimming pricing could be used. In addition to this, it can be stated that SaaS is most attractive for small enterprises while PS is attractive for large enterprises.