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After briefly reviewing the impact of service-orientation on information systems, herein we present a conceptual model that supports evaluation of theory and methods for the management of service-oriented decision support systems

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

Decision Support Systems, no. 1 (2013): 412-421

Cited by: 460|Views40
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Abstract

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 ...More

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Introduction
  • In today's very complex business world, organizations must find innovative ways to differentiate themselves from competitors by becoming more collaborative, virtual, accurate, synchronous, adaptive and agile.
  • Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud
Highlights
  • In today's very complex business world, organizations must find innovative ways to differentiate themselves from competitors by becoming more collaborative, virtual, accurate, synchronous, adaptive and agile
  • 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
  • Delen / Decision Support Systems 55 (2013) 412–421 et al [4], worldwide end-user spending on IT services will grow at a 6.4% compound annual growth rate through 2010 to reach US 855.6 billion, with positive growth in most market segments
  • After briefly reviewing the impact of service-orientation on information systems, herein we present a conceptual model that supports evaluation of theory and methods for the management of service-oriented decision support systems (SODSS)
  • Spohrer et al [44] defines a service as the application of competence and knowledge to create value between providers and receivers. This value accrues from the interactions of service systems that involves people, technology, organizations, and shared information in addition to language, laws, measures, models, and so on [44]
Results
  • Using service-oriented decision support systems (DSS in cloud) is one of the major trends for many organizations in hopes of becoming more agile.
  • 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.
  • Companies like Amazon's Web Services, AT&T's Synaptic Hosting, AppNexus, GoGrid, Rackspace Cloud Hosting, the HP/Yahoo/Intel Cloud Computing Testbed, the IBM/ Google and MicroStrategy BI Cloud are providing various types of clouds services to ease the data storage problems.
  • Delen / Decision Support Systems 55 (2013) 412–421 et al [4], worldwide end-user spending on IT services will grow at a 6.4% compound annual growth rate through 2010 to reach US 855.6 billion, with positive growth in most market segments.
  • A model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction” [33].
  • Growing knowledge of information and communication technology (ICT) design, execution, storage, transmission and reuse along with the evolution of internet is creating opportunities to configure information technologies into service relationships that create new value [12].
  • Proper ICT provides the means to improve effectiveness, efficiency, and innovativeness of organizations through: 1) making it possible to commoditize none-core competencies; 2) improving the collaboration; 3) decreasing the risk of information security breaches; 4) facilitating new types of services (e.g. Google, online banking); 5) separating production and consumption of a service, allowing better storability, transportability, and access to knowledge-based services; 6) coordinating service systems [17]; 7) reducing the costs of service production; 8) improving customer-perceived service quality; and 9) integrating customers into service creation and delivery [2,5,42].
  • The convergence of ICT—service-oriented – architecture, – infrastructure and – business processes, the emergent Web applications, Web 2.0, Web 3.0, grid computing, cloud computing, internetenabled smartphones, RFID, and advanced sensing and data analysis—is driving the information technology inflection point.
Conclusion
  • This value accrues from the interactions of service systems that involves people, technology, organizations, and shared information in addition to language, laws, measures, models, and so on [44].
  • Various versions of system/software product development life cycles have been used to develop and maintain information systems and decision support systems, e.g. waterfall, rapid, spiral and agile development methodologies.
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