The enterprise DNA: Static and dynamic digital representation of organizations

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
3 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)5034-5038
Number of pages5
JournalInternational Journal of Engineering and Advanced Technology
Issue number6
Publication statusPublished - 1 Aug 2019


  • A life
  • Artificial life
  • Competitive strategy
  • Corporate DNA
  • Enterprise architecture
  • Enterprise DNA
  • Evolutionary Algorithms
  • Genetic algorithm representation
  • Genetic algorithms


Dive into the research topics of 'The enterprise DNA: Static and dynamic digital representation of organizations'. Together they form a unique fingerprint.

Cite this