TY - JOUR
T1 - Leveraging the capabilities of service-oriented decision support systems
T2 - Putting analytics and big data in cloud
AU - Demirkan, Haluk
AU - Delen, Dursun
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2013/4/1
Y1 - 2013/4/1
N2 - 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.
AB - 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.
KW - Analytics-as-a-service
KW - Big data
KW - Cloud computing
KW - Data-as-a-service
KW - Information-as-a-service
KW - Service orientation
KW - Service science
UR - http://www.scopus.com/inward/record.url?scp=84877771183&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2012.05.048
DO - 10.1016/j.dss.2012.05.048
M3 - Article
AN - SCOPUS:84877771183
SN - 0167-9236
VL - 55
SP - 412
EP - 421
JO - Decision Support Systems
JF - Decision Support Systems
IS - 1
ER -