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The Capability Affordance Model: Comparing Medical Capabilities

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Business Modeling and Software Design (BMSD 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 142))

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Abstract

Existing capability models lack qualitative and quantitative means to compare business capabilities. This paper extends previous work and uses affordance theories to consistently model and analyse capabilities. We use the concept of objective and subjective affordances to model capability as a tuple of a set of resource affordance system mechanisms and action paths, dependent on one or more critical affordance factors. We identify an affordance chain of subjective affordances by which affordances work together to enable an action and an affordance path that links action affordances to create a capability system. We define the mechanism and path underlying capability. We show how affordance modelling notation, AMN, can represent affordances comprising a capability. We propose a method to quantitatively and qualitatively compare capabilities using efficiency, effectiveness and quality metrics. The method is demonstrated by a medical example comparing the capability of syringe and needless anaesthetic systems.

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Author information

Authors and Affiliations

  1. Informatics Research Centre, Henley Business School, University of Reading, UK

    Vaughan Michell

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  1. Vaughan Michell
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Editor information

Editors and Affiliations

  1. Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology – IICREST, Sofia, Bulgaria

    Boris Shishkov

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Michell, V. (2013). The Capability Affordance Model: Comparing Medical Capabilities. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2012. Lecture Notes in Business Information Processing, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37478-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-37478-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37477-7

  • Online ISBN: 978-3-642-37478-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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