Taxonomy of Governance Mechanisms for Trust Management in Smart Dynamic Ecosystems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F24%3A00135661" target="_blank" >RIV/00216224:14330/24:00135661 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=REIwIB4znNE=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=REIwIB4znNE=&t=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0012726100003687" target="_blank" >10.5220/0012726100003687</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Taxonomy of Governance Mechanisms for Trust Management in Smart Dynamic Ecosystems
Popis výsledku v původním jazyce
In our evolving society, a future is envisioned where humans and digital systems converge to shape dynamic and unpredictable ecosystems constantly adapting to ever-changing conditions. Such smart dynamic ecosystems, which seamlessly merge digital agents, physical infrastructure, and human-technology interactions, need to enable the formation of partnerships between their members to collectively solve complex tasks. This necessitates the establishment of trust together with effective governance mechanisms on the ecosystem level, which emerge as crucial elements to ensure the proper functioning, safety, and adherence to established rules. However, there is currently very little understanding of what such trust-supporting governance mechanisms could look like. In this paper, we open this promising scientific field with compiling a taxonomy of governance mechanisms aimed at supporting trust management in smart dynamic ecosystems. By this, we take an initial step into the development of a comprehensive governance model and stimulate further research to address this critical aspect of managing the complex and dynamic nature of these ecosystems.
Název v anglickém jazyce
Taxonomy of Governance Mechanisms for Trust Management in Smart Dynamic Ecosystems
Popis výsledku anglicky
In our evolving society, a future is envisioned where humans and digital systems converge to shape dynamic and unpredictable ecosystems constantly adapting to ever-changing conditions. Such smart dynamic ecosystems, which seamlessly merge digital agents, physical infrastructure, and human-technology interactions, need to enable the formation of partnerships between their members to collectively solve complex tasks. This necessitates the establishment of trust together with effective governance mechanisms on the ecosystem level, which emerge as crucial elements to ensure the proper functioning, safety, and adherence to established rules. However, there is currently very little understanding of what such trust-supporting governance mechanisms could look like. In this paper, we open this promising scientific field with compiling a taxonomy of governance mechanisms aimed at supporting trust management in smart dynamic ecosystems. By this, we take an initial step into the development of a comprehensive governance model and stimulate further research to address this critical aspect of managing the complex and dynamic nature of these ecosystems.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering
ISBN
9789897586965
ISSN
2184-4895
e-ISSN
—
Počet stran výsledku
11
Strana od-do
700-710
Název nakladatele
Scitepress
Místo vydání
Setubal, Portugal
Místo konání akce
Angers, France
Datum konání akce
1. 1. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—