剑
相似性(几何)
计算机科学
认识论
社会学
人工智能
哲学
万维网
图像(数学)
作者
Majid Majzoubi,Eric Yanfei Zhao,Tiona Žužul,Greg Fisher
出处
期刊:Organization Science
[Institute for Operations Research and the Management Sciences]
日期:2024-05-07
被引量:1
标识
DOI:10.1287/orsc.2022.16855
摘要
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and legitimacy, increasing the likelihood that it passes the initial screening stage and attracts analyst coverage. However, exemplar similarity may also prompt unfavorable comparisons with exemplar firms, leading to lower analyst recommendations in the assessment stage. We further argue that category coherence, distinctiveness, and exemplar typicality influence the impact of exemplar similarity on firm evaluation. Leveraging natural language processing (NLP) techniques to analyze a sample of 7,603 U.S. public firms from 1997 to 2022, we find robust support for our predictions. By highlighting the intricate role of strategic positioning vis-à-vis category exemplars in shaping audience evaluations, our findings have important implications for research on positioning relative to category exemplars, category viability, optimal distinctiveness, and security analysts. Supplemental Material: The online appendices are available at https://doi.org/10.1287/orsc.2022.16855 .
科研通智能强力驱动
Strongly Powered by AbleSci AI