Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/81596
Título: The enterprise DNA
Autor: Trotsyuk, Roman
Santos, Vítor
Palavras-chave: A life
Artificial life
Competitive strategy
Corporate DNA
Enterprise architecture
Enterprise DNA
Evolutionary Algorithms
Genetic algorithm representation
Genetic algorithms
Environmental Engineering
Engineering(all)
Computer Science Applications
Data: 1-Ago-2019
Resumo: The contemporary business environment become more complex and fast changing. The complex interactions and enterprise life cycle reminds the life of s species in the nature and, thus,the mimic of biological entities can be applied as a modelling tool for better understanding how company operates and what makes it s successful. The broad purpose of this article is to propos e a foundation for applying Artificial Life s simulations for business analyse. Artificial Life is a concept that allow to mimic biological evolution and behaviour of living creatures for modelling complex systems, forming specific environment with interacting and evolving agents. The main goal of this paper is the research and suggestion of such characteristics and their representation, which will constitute Enterprise DNA. As the foundation of important company’s features, the Enterprise Architecture concept was applied. The Zach man Enterprise Architecture framework used as a base is of enterprise representation. Accordingly, the artefacts for phenotype representation are proposed and then, their digital XML representation found. The DNA digital representation model (genotype) for artefacts is proposed. This representation can be used by means of Genetic Algorithm for further implementation of Artificial Life’s simulation on real company’s data.
Descrição: Trotsyuk, R., & Santos, V. (2019). The enterprise DNA: Static and dynamic digital representation of organizations. International Journal of Engineering and Advanced Technology, 8(6), 5034-5038. https://doi.org/10.35940/ijeat.F9544.088619
Peer review: yes
URI: http://www.scopus.com/inward/record.url?scp=85072065437&partnerID=8YFLogxK
DOI: https://doi.org/10.35940/ijeat.F9544.088619
ISSN: 2249-8958
Aparece nas colecções:NIMS: MagIC - Artigos em revista nacional com arbitragem científica (Peer-Review articles in national journals)

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