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Cloud-Based DSS and Availability Context: The Probability of Successful Decision Outcomes

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Book cover Designing E-Business Systems. Markets, Services, and Networks (WEB 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 22))

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Abstract

In an age of cloud computing, mobile users, and wireless networks, the availability of decision support related computing resources can no longer guarantee five-nines (99.999%) availability but the dependence on decision support systems is ever increasing. If not already, the likelihood of obtaining accurate deterministic advice from these systems will become critical information. This study proposes a probabilistic model that maps decision resource availability to correct decision outcomes. Grounded in system reliability theory, the probability functions are given and developed. The model is evaluated with a simulated decision opportunity and the outcome of the experimentation is quantified using a goodness of fit measure and ANOVA testing.

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Authors and Affiliations

  1. Department of Information Systems & Technology Management, The George Washington University, Washington, D.C., USA

    Stephen Russell

  2. Information Systems Department, University of Maryland, Baltimore County, Baltimore, Maryland, USA

    Victoria Yoon & Guisseppi Forgionne

Authors
  1. Stephen Russell
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  2. Victoria Yoon
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  3. Guisseppi Forgionne
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Editors and Affiliations

  1. Lehrstuhl für Informationsbetriebswirtschaftslehre, Universiät Karlsruhe (TH), Englerstr. 14, 76131, Karlsruhe, Germany

    Christof Weinhardt , Stefan Luckner  & Jochen Stößer ,  & 

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Russell, S., Yoon, V., Forgionne, G. (2009). Cloud-Based DSS and Availability Context: The Probability of Successful Decision Outcomes. In: Weinhardt, C., Luckner, S., Stößer, J. (eds) Designing E-Business Systems. Markets, Services, and Networks. WEB 2008. Lecture Notes in Business Information Processing, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01256-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-01256-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01255-6

  • Online ISBN: 978-3-642-01256-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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