Improving IoT Federation Resiliency With Distributed Ledger Technology

Elo, Tommi; Ruutu, Sampsa; Arzoglou, Ektor; Kortesniemi, Yki; Lagutin, Dmitrij; Hoseini, Veria; Polyzos, George C.

doi:10.1109/access.2021.3131143

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article1

Book1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Exploring the landscape of system dynamics archetypes: A systematic review

Sánchez

2024

Syst Res Behav Sci

View full text Add to dashboard Cite

System dynamic archetypes reflect common problematic behaviours that occur in the real world. The high level of abstraction embodied in these archetypes is both promising and daunting. Identifying relevant archetypes for real‐world problems is not a straightforward task. In this work, we aim to provide a comprehensive background for understanding current knowledge on the application of system archetypes. The methodology is based on a systematic literature review. Most of the works contribute with prescriptive models that address problems in specific areas. These models generally tackle complex problems where social, environmental and political issues converge. The unit of analysis encompasses geographical units, organizations and artefacts. The steps followed in the development are described with different level of detail. Stakeholders' participation is typically integrated into the development process. Some reported problems are that archetypes could induce a hypothesis that does not include all relevant factors; some participants may have difficulty in understanding the models; confidence in results, difficulty of having data to configure all the variables; and the cost burden for small enterprises.

show abstract