Communicating Corporate Culture in Labor Markets: Evidence from Job Postings

We examine how culture information in job postings influences firms’ hiring outcomes. We utilize machine learning methods to measure five core values present in job postings and demonstrate that culture information helps attract job seekers, as it is associated with higher worker inflows. The effect strengthens when job seekers value culture in their job searches and face frictions in learning about culture from other sources. Additional analyses indicate that individual cultural dimensions in job postings are more salient to job seekers when they have heightened preferences for that particular value. Finally, culture information is associated with a higher likelihood that interviews result in offers, and greater acceptance of those offers. Overall, our results suggest that culture information in job postings helps job seekers sort into culturally aligned firms. This paper was accepted by Ranjani Krishnan, accounting. Conflict of Interest Statement: The authors declare that they have no relevant or material financial interests that relate to the research described in this paper. Funding: A. H. Huang acknowledges financial support from the National Natural Science Foundation of China [Grant 72172079]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.07272 .

Authors

Institutions

Publication Details

Journal
Management Science
Published
2026-09-21
DOI
https://doi.org/10.1287/mnsc.2024.07272
Primary Topic
Culture, Economy, and Development Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Communicating Corporate Culture in Labor Markets: Evidence from Job Postings

Terrence Tianshuo Shi, Joseph Pacelli, Zou Yuan, Allen Huang
Management Science
Culture, Economy, and Development Studies
article

Communicating Corporate Culture in Labor Markets: Evidence from Job Postings

Terrence Tianshuo Shi, Joseph Pacelli, Zou Yuan, Allen Huang
article en

Abstract

We examine how culture information in job postings influences firms’ hiring outcomes. We utilize machine learning methods to measure five core values present in job postings and demonstrate that culture information helps attract job seekers, as it is associated with higher worker inflows. The effect strengthens when job seekers value culture in their job searches and face frictions in learning about culture from other sources. Additional analyses indicate that individual cultural dimensions in job postings are more salient to job seekers when they have heightened preferences for that particular value. Finally, culture information is associated with a higher likelihood that interviews result in offers, and greater acceptance of those offers. Overall, our results suggest that culture information in job postings helps job seekers sort into culturally aligned firms. This paper was accepted by Ranjani Krishnan, accounting. Conflict of Interest Statement: The authors declare that they have no relevant or material financial interests that relate to the research described in this paper. Funding: A. H. Huang acknowledges financial support from the National Natural Science Foundation of China [Grant 72172079]. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2024.07272 .

Management Science
University of California, Los Angeles (US), Hong Kong University of Science and Technology (HK)
Decent work and economic growth
Openalex Percentile: Top 4%
Culture, Economy, and Development Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.