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Wyszukujesz frazę "asset modeling" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Global Inclusion, Diversity, Belonging, Equity, and Access - GIDBEA. The Architecture of A New Different
Autorzy:
Coleman, Lisa
Powiązania:
https://bibliotekanauki.pl/articles/1991112.pdf
Data publikacji:
2022-01-01
Wydawca:
Academicus. International Scientific Journal publishing house
Tematy:
Global
Inclusion
Diversity
Belonging
Equity
Access
New Different Architecture
organizational systems
organizational transformation
asset modeling
Opis:
The article asserts the need for organizations to adopt intentional and transformative Global Inclusion, Diversity, Belonging, Equity, and Access (GIDBEA) practices, to ensure their future readiness. The research developed reaffirms the benefits of GIDBEA strategies in identifying gap areas and navigating crises, by providing insights on how to successfully embed a ‘new different’ GIDBEA strategy into organizational frameworks. By drawing trends across the 2020-2021 COVID-19 pandemic and other previous health and economic crises, it is indicated what is described as the “normality of disruption” and the need to move away from the idea of a ‘new normal’ to a new different. The new different acknowledges that the ‘normal’ or the status quo was often challenging for many. The impact and importance of the disruptions that individuals, communities, nations, etc., all have and will face together, is also recognized. The new different emphasizes organizational transformation through co-creation, sustainability, adaptivity, resilience, and design thinking. By implementing a design thinking model, GIDBEA proactively engages mistakes while promoting innovation through dissent and disruption. As a result, disruptions are not considered episodic crises but as recurring, expected, and presenting opportunities. Furthermore, it is argued that GIDBEA expertise is essential for remaining agile, innovative, and providing strategic organizational architecture to prepare and innovate for these disruptions. However, it is necessary to consider that GIDBEA practice can be limited due to the failure of organizations and leaders to frame it as an asset and develop strategic plans to leverage it in the same way they do other critical functional business units. Therefore, unless prioritized and conducted intentionally, GIDBEA work will not achieve its promised bonuses and transformative potential. The article offers readers insights and tools to assess existing GIDBEA within their organization. Using metaphors of “construction” and “architecture,” it illustrates how reimaging organizational architectures and constructing initiatives focused on GIDBEA are fundamental to resiliency, organizational sustainability, and the ability to thrive through shifting landscapes.
Źródło:
Academicus International Scientific Journal; 2022, 13, 25; 91-103
2079-3715
2309-1088
Pojawia się w:
Academicus International Scientific Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic asset allocation under uncertainty for pension fund management
Autorzy:
Pflug, G.
Świętanowski, A.
Powiązania:
https://bibliotekanauki.pl/articles/205561.pdf
Data publikacji:
1999
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
model finansowy
optymalizacja stochastyczna
podejmowanie decyzji
procesy Markowa
asset liability management
financial modeling
investment
pension fund management
portfolio
risk management
stochastic dynamic optimization
Opis:
Decision making in managing the asset and liability structure of a pension fund can be supported by stochastic dynamic optimization. We discuss our model, which is based on data analysis and forecast for the asset-side as well as a simulation model for the liability side. The core of our decision support system consists of the following building blocks : a set of securities, a pricing module based on a multifactor Markov model to derive expected returns of securities, a simulation-based model for liabilities, a carefully chosen objective function suitable for the pension fund and a stochastic optimization problem solver. We consider the use of different objectives in the model and decomposition techniques to solve the stochastic portfolio optimization problem. Our final goal is to design an efficient parallel implementation.
Źródło:
Control and Cybernetics; 1999, 28, 4; 755-777
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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