No open-access location is known for this record yet.
No open-access location is known for this record yet.
Innovative firms face the challenge to select the right innovation projects before investing resources. This decision comes with two potential types of errors. Either, the firm can pick the bad projects, or it can reject good projects. To reduce both errors, firms often invest in streamlined innovation processes that predefine objective selection criteria. In this paper we look at these criteria and analyze if and how they interact with visual and social heuristics. We specifically focus on the role of heuristics in innovation project selection of a big European telecommunications firm. We use proprietary data that have been compiled during the process and do not rest upon post-hoc interviews of the actors involved. Using these proprietary data with more than 120 innovation projects, we show that social heuristics play a major role in project evaluation. Further, visual and social heuristics interplay with evaluation scores upon which the final project selection rests. Interestingly, jurors evaluating innovation projects make use of different heuristics and in a different manner than the executive committee, which makes the final project selection decision. Our interesting results highlight the role of heuristics in innovation project selection.
Loading…
Imported from OpenAlex (CC0) — nothing here is generated.