An instance-based-learning simulation model to predict knowledge assets evolution involved in potential digital transformation projects Articles uri icon

publication date

  • January 2022

start page

  • 843

end page

  • 864


  • 6


  • 20

International Standard Serial Number (ISSN)

  • 1477-8238

Electronic International Standard Serial Number (EISSN)

  • 1477-8246


  • Software engineering professionals must consider the appropriate technological solutions to meet their client's needs and the organisational impact. The decision to implement a solution is not explicitly based on how it empowers the knowledge assets. Organisational knowledge assets are the foundation of the knowledge economy and a key element in evaluating the health of an organisation. This paper provides software engineers with a simulation model which illustrates the decision-making process for the implementation of technological solutions based on an evaluation of their client's knowledge assets and how such assets impact and are impacted by the deployment of a solution. We use an agent-based approach and implement an instance-based learning model (a cognitive approach) to represent scenarios for experience-based decisions. 11 case studies were used to train the prediction engine and validate the usefulness of the model in generating scenarios and nurturing decision-making and user experiences.


  • Computer Science
  • Education
  • Telecommunications


  • digital business management; decision-making; knowledge assets management; decisions from experience; technology in the knowledge economy; digital business evolution