This paper presents a new computanullonal model of creanullve outcomes, informed by creanullvity theories and techniques, which was implemented tool to generate more novel opportuninulles for innovanullon projects. The model implemented five funcnullons that were developed to contribute to the generanullon of innovanullon opportuninulles with higher novelty without loss of usefulness. The model was evaluated using opportuninulles generated for an innovanullon project in the hospitality sector . The evaluanullon revealed that the co mputanullonal model generated outcomes that were more novel and/or useful than outcomes from Notebook LM and ChatGPT4o. However, not all of the model's funcnullons contributed to the generanullon of more novel opportuninulles, leading to new direcnullons for further model development .