Toward a Maturity Model for DSS Development Processes

نویسندگان

  • Omar F. El-Gayar
  • Amit V. Deokar
  • Jie Tao
چکیده

Despite recent progress with Decision support systems (DSS) development methodologies, a gap still exist in terms of the ability to assess the maturity of an organization with respect to its DSS development process. A need exist to be able to describe DSS development processes at a meta-level. Equally important is the ability to provide organization with prescriptions to increase the maturity of their DSS development processes. In this paper, we propose a Decision Support System Maturity Model (DSS-MM). The model draws on extant literature related to DSS development methodologies, practices and processes to identify pertinent DSS development practices and define maturity models for these practices. From a theoretical perspective, this research presents the first maturity model specifically targeting DSS development. From a practical perspective, the model provides a framework for organizations to assess their DSS development maturity level and devise process improvement initiatives to address any limitations with existing practices.

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تاریخ انتشار 2011