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Modeling Platform Ecosystems.

2020
Platforms facilitate the creation of complementary modulesby third parties and act as intermediaries between different groups of ac-tors. Due to the high degree of collaboration between actors, ecosystemsevolve around such platforms. As a result of digitalization, platform busi-ness models are becoming viable in more and more domains.
Pauli, Tobias   +3 more
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Software ecosystems

Proceedings of the Fourth European Conference on Software Architecture: Companion Volume, 2010
Software companies and organizations increasingly open up their business to other software companies and as a consequence they find themselves in an ecosystem of software companies, developers and partners. These actors, and especially the software organization that is at the core of this ecosystem, are having difficulties in getting insight into this ...
Ivo van den Berk   +2 more
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Ecosystem modeling and analysis

Proceedings of the 17th International Software Product Line Conference, 2013
The ecosystem, within which a software product line resides, is a network of organizations producing and consuming software assets and the linkages among those assets. The complexity of the relationships among the elements in the ecosystem requires analytic techniques to predict the effects of strategic decisions on the network of suppliers, buyers ...
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Phytoplankton adaptation in ecosystem models

Journal of Theoretical Biology, 2019
We compare two different approaches to model adaptation of phytoplankton through trait value changes. Both consider mutation and selection (MuSe) but differ with respect to the underlying conceptual framework. The first one (MuSe-IBM) explicitly considers a population of individuals that are subject to random mutation during cell division.
Aike Beckmann   +2 more
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An evaluation of a model ecosystem with DDT

Archives of Environmental Contamination and Toxicology, 1980
The reproducibility, variability, and reliability of a simple aquatic-terrtestrial model ecosystem experiment was tested with p,p'-DDT. The variation among the model replicates as well as within the units was studied by using hierarchal analysis of variance.
M T, Virtanen   +3 more
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Models for Innovative IoT Ecosystems

Proceedings of the International Conference on Big Data and Internet of Thing, 2017
The Internet of Things is a concept and a paradigm with various visions and multidisciplinary activities. The present paper first gives shortly a background on the evolution of the Internet of Things. The trends which drives the evolution of the business perspectives to the Internet of Things are presented.
Galia Novakova Nedeltcheva   +1 more
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Making ecosystem models viable

Bulletin of Mathematical Biology, 2003
Viability conditions permit to characterize all processes compatible with given constraints, notably of available food, so that there exists at least one possibility for the system to perpetuate itself forever. The concept of contingent cone to a set of constraints permits to identify two classes of corrections to apply to equations of natural growth ...
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Business modeling for service ecosystems

Proceedings of the International Conference on Management of Emergent Digital EcoSystems, 2010
In this paper, we mainly propose a business model under the modeling framework for service ecosystems. We analyze the progress in modeling business ecosystems, digital ecosystems and service ecosystems. We point out the research gaps in modeling service ecosystems, especially those resulted from overlooking the essence of service. To address those gaps,
Pingfeng Liu, Peilu Zhang, Guihua Nie
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Vortices and strings in a model ecosystem

Physical Review E, 1994
We study the spatial pattern formation in a model ecosystem by the position-fixed reaction method. This ecosystem contains three biospecies whose competing powers are cyclic. It is well known that this system is self-organized into a quasistationary state, and that the mean-field approximation (MFA) never predicts such a pattern formation.
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Risk Modelling of Blockchain Ecosystem

2017
If a blockchain is well-implemented, the resulting advantages include speed, privacy, reliability, and much lower costs. As more global enterprises adopt blockchain technology, it is necessary to evaluate and address not only benefits but the associated risks too.
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