A computational model and tool for generating more novel opportunities in professional innovation processes

TL;DR

This paper introduces a computational model designed to enhance the novelty of generated innovation opportunities, demonstrating improved outcomes over existing language models in a hospitality sector case study.

Contribution

The paper develops a new computational model based on creativity theories that increases the novelty of generated innovation opportunities, with an implementation and evaluation in a real-world context.

Findings

Model produces more novel and useful opportunities than Notebook LM and ChatGPT4o

Not all model functions equally contribute to novelty enhancement

Provides new directions for further model development

Abstract

This paper presents a new computational model of creative outcomes, informed by creativity theories and techniques, which was implemented to generate more novel opportunities for innovation projects. The model implemented five functions that were developed to contribute to the generation of innovation opportunities with higher novelty without loss of usefulness. The model was evaluated using opportunities generated for an innovation project in the hospitality sector. The evaluation revealed that the computational model generated outcomes that were more novel and/or useful than outcomes from Notebook LM and ChatGPT4o. However, not all model functions contributed to the generation of more novel opportunities, leading to new directions for further model development