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Leveraging the capabilities of service-oriented decision support systems Putting analytics and big data in cloud.pdf

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Leveraging the capabilities of service-oriented decision support systems Putting analytics and big data in cloud.pdf

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Leveraging the capabilities of service-oriented decision support systems Putting analytics and big data in cloud.pdf

文档介绍

文档介绍:DECSUP-12096; No of Pages 10
Decision Support Systems xxx (2012) xxx–xxx
Contents lists available at SciVerse ScienceDirect
Decision Support Systems
journal homepage: ate/dss
Leveraging the capabilities of service-oriented decision support systems: Putting
analytics and big data in cloud
Haluk Demirkan a,⁎, Dursun Delen b
a Department of Information Systems, W. P. Carey School of Business, Arizona State University, United States
b Department of Management Science and Information Systems, Spears School of Business, Oklahoma State University, United States
article info abstract
Available online xxxx Using service-oriented decision support systems (DSS in cloud) is one of the major trends for ani-
zations in hopes of ing more agile. In this paper, after defining a list of requirements for service-
Keywords: oriented DSS, we propose a conceptual framework for DSS in cloud, and discus about research directions. A
puting unique contribution of this paper is its perspective on how to servitize the product oriented DSS environ-
Service orientation ment, and demonstrate the opportunities and challenges of engineering service oriented DSS in cloud.
Service science
When we define data, information and analytics as services, we see that traditional measurement mecha-
Data-as-a-service
nisms, which are mainly time and cost driven, do not work well. Organizations need