R
Ray J. Paul
Researcher at Brunel University London
Publications - 257
Citations - 6579
Ray J. Paul is an academic researcher from Brunel University London. The author has contributed to research in topics: Information system & Discrete event simulation. The author has an hindex of 42, co-authored 257 publications receiving 6430 citations. Previous affiliations of Ray J. Paul include University of West London & London School of Economics and Political Science.
Papers
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Review of "The labyrinths of information: Challenging the wisdoms of systems" by Claudio Ciborra, Oxford University Press, Oxford, UK, 2002
TL;DR: 1. Invitation 2. Krisis - judging methods 3. Bricolage - improvisation, hacking, patching 4. Gestell - the power of infrastructures 5. Derive - drift and deviation 6. Xenia - hosting an innovation 7. Shih - architecture and action
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Investigating evaluation frameworks for health information systems.
TL;DR: It is found that an increasing number of evaluation studies deal with two distinct trends of HIS: one considers human and organizational issues and the other is concerned with the employment of a subjectivist approach.
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Visualizing a knowledge domain's intellectual structure
Chaomei Chen,Ray J. Paul +1 more
TL;DR: This work has developed a method that extends and transforms traditional author co-citation analysis by extracting structural patterns from the scientific literature and representing them in a 3D knowledge landscape.
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Simulation modelling in healthcare: reviewing legacies and investigating futures
TL;DR: Options or futures for the use of simulation as a problem solving technique within healthcare settings could assist in identifying the critical barriers towards having a successful strategy and provide the basis for debate that will be necessary to attain it.
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Simulation model reuse: definitions, benefits and obstacles
TL;DR: A number of issues were raised that mean the benefits of reuse of simulation models may not be obtainable, including the motivation to develop reusable models, the validity and credibility of models to be reused, and the cost and time for familiarisation.