GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
Adjustable flooding-based discovery with multiple QoSs for cloud services acquisition
International Journal of Web and Grid Services
Impact of pricing schemes on a market for Software-as-a-Service and perpetual software
Future Generation Computer Systems
Cloud services evaluation framework
Proceedings of the Workshop on Open Source and Design of Communication
Cloud service selection based on variability modeling
ICSOC'12 Proceedings of the 10th international conference on Service-Oriented Computing
The Value Creation of B2B2C E-Business Mode based on SaaS
Journal of Electronic Commerce in Organizations
Intelligent Decision Technologies - IT Service Management and Engineering: An Intelligent Decision-Making Support Systems Approach
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Software-as-a-Service (SaaS) helps organizations avoid capital expenditure and pay for the functionality as an operational expenditure. Though enterprises are unlikely to use SaaS model for all their information systems needs, certain business functionalities such as Sales Force Automation (SFA), are more seen to be implemented using SaaS model. Such demand has prompted quite a few vendors to offer SFA functionality as SaaS. Enterprises need to adopt an objective approach to ensure they select the most appropriate SaaS product for their needs. This paper presents an approach that makes use of Analytic Hierarchy Process (AHP) technique for prioritizing the product features and also for expert-led scoring of the products.