Dugarte-Peña, German-LeninSánchez-Segura, María-IsabelMedina-Domínguez, FuensantaDe Amescua, AntonioGonzález, Cleotilde2022-12-222022-12-2220221477-8238https://hdl.handle.net/10641/3211Software 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.engAtribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Digital business managementDecision-makingKnowledge assets managementDecisions from experienceDigital business evolutionjournal articleopen access10.1080/14778238.2022.2064348