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Article: Good to Go First? Position Effects in Expert Evaluation of Early-Stage Ventures

TitleGood to Go First? Position Effects in Expert Evaluation of Early-Stage Ventures
Authors
Issue Date2021
Citation
Management Science, 2021, Forthcoming How to Cite?
AbstractThere is often considerable anxiety and conflicting advice concerning the benefits of presenting/being evaluated first. We thus investigate how expert evaluators vary in their evaluations of entrepreneurial proposals based upon the order in which they are evaluated. Our research setting is a premiere innovation fund competition in Beijing, China, where the prize money at stake is economically meaningful, and evaluators are quasi-randomly assigned to evaluate written grant proposals without the possibility of peer influence. This enables us to credibly recover a causal position effect. We also theorize and test how heterogeneity in evaluators’ prior (context-specific) judging experience moderates position effects. Overall, we find that a proposal evaluated first requires total assets in the top 10th percentile to merely equal the evaluation of a proposal in the bottom 10th percentile that is not evaluated first. Firm and evaluator fixed-effects models yield consistent findings. We consider evaluation design elements that may mollify these position effects in the discussion section.
Persistent Identifierhttp://hdl.handle.net/10722/307809
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorBian, J-
dc.contributor.authorGreenberg, J-
dc.contributor.authorLi, J-
dc.contributor.authorWang, Y-
dc.date.accessioned2021-11-12T13:38:13Z-
dc.date.available2021-11-12T13:38:13Z-
dc.date.issued2021-
dc.identifier.citationManagement Science, 2021, Forthcoming-
dc.identifier.urihttp://hdl.handle.net/10722/307809-
dc.description.abstractThere is often considerable anxiety and conflicting advice concerning the benefits of presenting/being evaluated first. We thus investigate how expert evaluators vary in their evaluations of entrepreneurial proposals based upon the order in which they are evaluated. Our research setting is a premiere innovation fund competition in Beijing, China, where the prize money at stake is economically meaningful, and evaluators are quasi-randomly assigned to evaluate written grant proposals without the possibility of peer influence. This enables us to credibly recover a causal position effect. We also theorize and test how heterogeneity in evaluators’ prior (context-specific) judging experience moderates position effects. Overall, we find that a proposal evaluated first requires total assets in the top 10th percentile to merely equal the evaluation of a proposal in the bottom 10th percentile that is not evaluated first. Firm and evaluator fixed-effects models yield consistent findings. We consider evaluation design elements that may mollify these position effects in the discussion section.-
dc.languageeng-
dc.relation.ispartofManagement Science-
dc.titleGood to Go First? Position Effects in Expert Evaluation of Early-Stage Ventures-
dc.typeArticle-
dc.identifier.emailBian, J: bian@hku.hk-
dc.identifier.emailWang, Y: wyanbo@hku.hk-
dc.identifier.authorityBian, J=rp02851-
dc.identifier.authorityWang, Y=rp02833-
dc.identifier.doi10.1287/mnsc.2021.4132-
dc.identifier.scopuseid_2-s2.0-85124311535-
dc.identifier.hkuros330382-
dc.identifier.volumeForthcoming-
dc.identifier.isiWOS:000748418200017-

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