How organizational structure transforms risky innovations into performance : a computer simulation
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-41-1373
- Type
- D - Journal article
- DOI
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10.1016/j.simpat.2019.03.007
- Title of journal
- Simulation Modelling Practice and Theory
- Article number
- -
- First page
- 264
- Volume
- 94
- Issue
- -
- ISSN
- 1569-190X
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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- Research group(s)
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- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents Big Data/Monte-Carlo simulations of how organizational structure transforms risky innovations into corporate performance. While, in the 1980s, Prof. Stiglitz (Nobel Prize 2001) observed that the management architecture of an organization determines its corporate performance, he omitted investigating nascent high-tech organizations like Microsoft and Apple that created new innovation-rich environments. This hitherto uninvestigated domain is today of central importance (Google, Amazon) to advances in programming and computer science. Thanks to this piece of research,
policy-makers and entrepreneurs have now the confirmation that, Stiglitz's, with certain unexpected provisos, is also applicable to software innovation environments.
- Author contribution statement
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- Non-English
- No
- English abstract
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