Please use this form to submit your study for inclusion into our database. It will be checked by a member of the Innovation Growth Lab team, who may be in contact to ask for more information. Your email address * Your name * Title * The name of the study Short summary A brief description of the project's goals and its current state Abstract <p>Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and ideas. In this paper, we focus on shedding light into this observed pattern by examining how evaluator expertise in the problem’s focal domain shapes the relationship between novelty and feasibility in evaluations of quality for technical solutions. To estimate relationships, we partnered with NASA and Freelancer.com, an online labor marketplace, to design an evaluation challenge, where we recruited 374 evaluators from inside and outside the technical domain to rate 101 solutions drawn from nine robotics challenges. This resulted in 3,869 evaluator-solution pairs, in which evaluators were randomly assigned to solutions to facilitate experimental comparisons. Our experimental findings, complemented with text analysis of the evaluators’ comments, indicate that domain experts exhibit a feasibility preference, focusing first on the feasibility of a solution as the primary indicator of its quality, while discounting riskier but more novel solutions. This results in a tradeoff in which highly feasible but less novel solutions are judged as being higher in quality, shedding light into why experts prefer more incremental ideas over more radical but untested ideas.</p> The full abstract of the study, if available Links https://papers.ssrn.com/sol3/papers.cfm Links to any published papers and related discussions Authors * Affiliations Academic and other institutes that the authors of the study are members of Delivery partner Organisations involved in delivering the trial, if appropriate Year Year Year199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202420252026 Month MonthJanFebMarAprMayJunJulAugSepOctNovDec Day Day12345678910111213141516171819202122232425262728293031 Journal Journal publishing the study, if available Publication stage * Working Paper Published Ongoing Research Forthcoming Discussion Paper Research theme * Entrepreneurship Innovation Business Growth Country Country or countries where this study took place. Topics What sort of topics does the study cover? Sample attributes Hypotheses / research question Sample Trial population and sample selection Number of treatment groups Size of treatment groups Size of control group Unit of analysis Clustered? Yes No Cluster details Trial attributes Treatment description Rounds of data collection Baseline data collection and method Data collection method and data collected Evaluation Outcome variables Results Intervention costs Cost benefit ratio Reference Citation for use in academic references
