Leveraging the Capabilities of Service-Oriented Decision Support Systems in the Cloud

* Haluk Demirkan, Arizona State University
Dursun Delen, Oklahoma State University

Using service-oriented decision support systems (DSS in Cloud) is one of the major trends for many organizations in hopes of becoming an agile business. 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 DSS in cloud environment. When we define data, information and analytics we see that traditional measurement mechanisms do not work efficiently. Organizations may care about service accuracy and quality in addition the cost and delivery time. Service-oriented DSS (DSS in Cloud) proposes 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. Usually the more technical perspective is offered on a standalone basis, and confined to the database systems space – even when the discussion is about business processes.

 

* Corresponding Author

Demirkan, H. and Delen, D. “Leveraging The Capabilities Of Service-Oriented Decision Support Systems in the Cloud,” Working paper, Arizona State University, 2011.