Proceedings ArticleDOI
The dynamic network notation: harnessing network effects in PaaS-ecosystems
Ulrich Scholten,Robin Fischer,Christian Zirpins +2 more
- pp 25-30
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TLDR
DYNO models PaaS offerings with a focus on identifying and shaping network effects towards a sufficient user-base and an optimized portfolio of Web applications, all while maintaining a high quality of service.Abstract:
Web applications complement the Platform-as-a-Service (PaaS) value by satisfying widespread and rapidly changing consumer requirements within limited time and budget. Successful PaaS providers excel in governing their market performance by leveraging complex network effects, which implicitly control PaaS-ecosystems. There is currently no methodically sound and easy to use tool available to business analysts and software engineers of PaaS-offerings that addresses challenges and opportunities in launching and governing such highly dynamic networks. In this paper, we capture network behavior through elements of complex system and control theory. Our dynamic network notation (DYNO) builds upon these theories. In more detail, DYNO models PaaS offerings with a focus on identifying and shaping network effects towards a sufficient user-base and an optimized portfolio of Web applications, all while maintaining a high quality of service.read more
Citations
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Journal ArticleDOI
Information Rules: A Strategic Guide to the Network Economy
TL;DR: Shapiro and Varian as mentioned in this paper reviewed the book "Information Rules: A Strategic Guide to the Network Economy" by Carl Shapiro and Hal R. Varian and found that it is a good book to read.
Journal ArticleDOI
Software ecosystems - A systematic literature review
TL;DR: There is little consensus on what constitutes a software ecosystem, few analytical models of software ecosystems exist, and little research is done in the context of real-world ecosystems, according to this systematic literature review of software ecosystem research.
Journal ArticleDOI
Revisiting software ecosystems Research
TL;DR: A systematic literature study based on the most extensive literature review in the field up to date, which reveals a field that is rapidly growing, both in volume and empirical focus, while becoming more mature, and shapes the view of the field having evolved outside the existing definitions of software ecosystems.
Book ChapterDOI
Supporting the Evolution of Research in Software Ecosystems: Reviewing the Empirical Literature
TL;DR: This study investigates the literature of empirical, non open source ecosystem studies and intent to identify the various aspects and perspectives studied to come closer to an evolution of the field by supporting the “localization” of research.
Analyzing, Modelling, and Designing Software Ecosystems: Towards the Danish Telemedicine Software Ecosystem
TL;DR: This thesis documents the groundwork towards addressing the challenges faced by telemedical technologies today and establishing telemedicine as a means of patient diagnosis and treatment and serves as an empirical example of designing a software ecosystem.
References
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Book
Business Dynamics: Systems Thinking and Modeling for a Complex World
TL;DR: Requirements for the effective use of system dynamics are discussed and a successful application to a difficult business issue is illustrated.
Book
Information Rules: A Strategic Guide to the Network Economy
Carl Shapiro,Hal R. Varian +1 more
TL;DR: Information Rules will help business leaders and policy makers - from executives in the entertainment, publishing, hardware, and software industries to lawyers, finance professionals, and writers -- make intelligent decisions about their information assets.
Book
Self-Organization in Nonequilibrium Systems: From Dissipative Structures to Order through Fluctuations
Grégoire Nicolis,Ilya Prigogine +1 more
TL;DR: In this article, the authors present a model of a system involving chemical reactions and diffusion-stability, which they call Nonlinear Thermodynamics of Irreversible Processes (NTIP).