From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Information, Systems and Information Systems: Making Sense of the Field
Information, Systems and Information Systems: Making Sense of the Field
The Vision of Autonomic Computing
Computer
Service Orientation: Winning Stratergies and Best Practices
Service Orientation: Winning Stratergies and Best Practices
A research manifesto for services science
Communications of the ACM - Services science
Information Systems Research
An interorganizational knowledge-sharing security model with breach propagation detection
Information Systems Frontiers
Data mining using high performance data clouds: experimental studies using sector and sphere
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Electronic Commerce Research and Applications
SQL databases v. NoSQL databases
Communications of the ACM
Cloud computing - The business perspective
Decision Support Systems
Experience in Continuous analytics as a Service (CaaaS)
Proceedings of the 14th International Conference on Extending Database Technology
A Service-Oriented Web Application Framework
IT Professional
Opportunities and risks of software-as-a-service: Findings from a survey of IT executives
Decision Support Systems
An Interdisciplinary Perspective on IT Services Management and Service Science
Journal of Management Information Systems
Coordination Strategies in an SaaS Supply Chain
Journal of Management Information Systems
An analytic approach to better understanding and management of coronary surgeries
Decision Support Systems
Transforming e-services evaluation data into business analytics using value models
Electronic Commerce Research and Applications
Information Systems and e-Business Management
A scalable approach for content based image retrieval in cloud datacenter
Information Systems Frontiers
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Using service-oriented decision support systems (DSS in cloud) is one of the major trends for many organizations in hopes of becoming more agile. In this paper, after defining a list of requirements for service-oriented DSS, we propose a conceptual framework for DSS in cloud, and discus about research directions. A unique contribution of this paper is its perspective on how to servitize the product oriented DSS environment, and demonstrate the opportunities and challenges of engineering service oriented DSS in cloud. When we define data, information and analytics as services, we see that traditional measurement mechanisms, which are mainly time and cost driven, do not work well. Organizations need to consider value of service level and quality in addition to the cost and duration of delivered services. DSS in CLOUD enables scale, scope and speed economies. This article contributes new knowledge in service science by tying the information technology strategy perspectives to the database and design science perspectives for a broader audience.