Public funding in the academic field of nanotechnology: a multi-agent based model

Hoser, Nadine

doi:10.1007/s10588-013-9158-x

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…We refer to the typical toolkit of the management and organizational behavior researcher, the questions they ask, and the solutions they adopt when conducting a study. ABM simulations can be intended as experiments of a computational nature (Coen 2009a;Hoser 2013) consistent with experimental design and methods that flourish in our disciplines.…”

Section: Introductionmentioning

confidence: 99%

Controlling for false negatives in agent-based models: a review of power analysis in organizational research

Secchi

Seri

2016

Comput Math Organ Theory

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This article is concerned with the study of statistical power in agentbased modeling (ABM). After an overview of classic statistics theory on how to interpret Type-II error (whose occurrence is also referred to as a false negative) and power, the manuscript presents a study on ABM simulation articles published in management journals and other outlets likely to publish management and organizational research. Findings show that most studies are underpowered, with some being overpowered. After discussing the risks of under-and overpower, we present two formulas to approximate the number of simulation runs to reach an appropriate level of power. The study concludes with the importance for organizational behavior scholars to perform their models in an attempt to reach a power of 0.95 or higher at the 0.01 significance level.

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Section: Introductionmentioning

confidence: 99%

Controlling for false negatives in agent-based models: a review of power analysis in organizational research

Secchi

Seri

2016

Comput Math Organ Theory

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“…ABMS has been widely used to explore academic activities, with 12 of the 35 studies assigned to this category. These studies involve talent recruitment (Caillou & Sebag, 2009), talent management (Phelan, 2004;Stepanic, Pejić Bach, & Kasac, 2013;Zheng & Lei, 2010), academic collaboration (Fujii & Tanimoto, 2003;Kenna & Berche, 2012), publication (Gilbert, 1997;Mölders, Fink, & Weyer, 2011), peer review (Cabota, Grimaldo, & Squazzoni, 2013;Paolucci & Grimaldo, 2012;Squazzoni & Gandelli, 2012), and academic-level research funding (Hoser, 2013). Caillou and Sebag (2009) implemented an ABMS application to investigate how universities can recruit the best employee candidates with high confidence.…”

Section: What Specific Dynamics Do Existing Abms Applications Cover In He?mentioning

confidence: 99%

“…Research requires funding, particularly when there is an emergence of new technology or academic specialty. Hoser (2013) developed an ABMS application to analyse how public third-party funding influences the diffusion of high technology. The ABMS application was implemented to analyse the funding and innovation systems in the US and Germany.…”

Section: What Specific Dynamics Do Existing Abms Applications Cover In He?mentioning

confidence: 99%

A systematic review of agent-based modelling and simulation applications in the higher education domain

Blackmore

2015

Higher Education Research & Development

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This paper presents the results of a systematic review of agent-based modelling and simulation applications in the higher education (HE) domain. Agent-based modelling is a 'bottom-up' modelling paradigm in which system level behaviour (macro) is modelled through the behaviour of individual local-level agent interactions (micro). This approach to considering the behaviour of systems of interacting 'agents' has been applied to a wide variety of domains. Of particular interest are the ways that ABMS applications have been used to further understand the dynamics of the HE domain. We conduct a systematic review of literature to analyse publications by year, role of the simulator, development stage of the models, and any associated validation. We also identify areas for future work, which includes an emphasis on validating existing and future models, detailed description of simulations to allow replication and further development, and the use of agent-based models in other contexts within the increasingly complex HE domain.

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Concluding Remarks

Vitanov¹

2016

Qualitative and Quantitative Analysis of Scientific and Scholarly Communication

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Public funding in the academic field of nanotechnology: a multi-agent based model

Cited by 4 publications

References 17 publications

Controlling for false negatives in agent-based models: a review of power analysis in organizational research

Controlling for false negatives in agent-based models: a review of power analysis in organizational research

A systematic review of agent-based modelling and simulation applications in the higher education domain

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