Examining the characteristics and effectiveness of online employee reviews

Employee reviews on platforms like Glassdoor and Indeed significantly influence organizational attractiveness of millions of prospective applicants. To deepen our understanding of this phenomenon, we examined the effects of employee review characteristics on perceived helpfulness – a proximal indicator of adopting shared information. Specifically, we investigated the relationship between the sentiment of organic Glassdoor reviews (ranging from positive to negative attitudes) and their helpfulness ratings. Additionally, we explored the moderating roles of overall corporate ratings and employee status in shaping the impact of employee reviews. Employing automated text analysis with Latent Dirichlet Allocation (LDA) and Structural Topic Modeling, we further delved into employee review content to extract the topics discussed and how their attributes (e.g., the extent to which the topic is discussed) influence perceived helpfulness. Drawing insights from an extensive analysis of 24,687 Glassdoor reviews, our findings revealed that negative reviews of lower rated organizations tend to receive higher helpfulness ratings, particularly when provided by former employees. The topics identified through LDA encompassed both instrumental and symbolic aspects of organizations, with their extent of discussion uniquely interacting with sentiment. Our study sheds light on the profound impact of employee satisfaction on the perceived helpfulness of online reviews. By presenting a comprehensive analysis of online reviews, this research offers valuable insights for businesses to enhance their organizational attractiveness and better understand the dynamics of online reputation management. • Negative reviews are considered more helpful and are partially buffered by organizational ratings. • Former employees' reviews are considered more helpful to readers. • Computerized text analysis uncovers that employee reviewers discuss aspects of organizations' climates and provisions. • Employee reviewers who discuss several topics are more helpful. • Employee reviewers are less helpful when they negatively elaborate on a specific topic.

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Publication Details

Journal
Computers in Human Behavior Reports
Published
2024-08-30
DOI
https://doi.org/10.1016/j.chbr.2024.100471
Citations
4
Primary Topic
Employer Branding and e-HRM
Type
article
Field-Weighted Citation Impact
2.70
Controls
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article

Examining the characteristics and effectiveness of online employee reviews

Jenelle A. Morgan, Derek S. Chapman
4 citations
Computers in Human Behavior Reports
Employer Branding and e-HRM
2.70
article

Examining the characteristics and effectiveness of online employee reviews

Jenelle A. Morgan, Derek S. Chapman
article en
4 citations

Abstract

Employee reviews on platforms like Glassdoor and Indeed significantly influence organizational attractiveness of millions of prospective applicants. To deepen our understanding of this phenomenon, we examined the effects of employee review characteristics on perceived helpfulness – a proximal indicator of adopting shared information. Specifically, we investigated the relationship between the sentiment of organic Glassdoor reviews (ranging from positive to negative attitudes) and their helpfulness ratings. Additionally, we explored the moderating roles of overall corporate ratings and employee status in shaping the impact of employee reviews. Employing automated text analysis with Latent Dirichlet Allocation (LDA) and Structural Topic Modeling, we further delved into employee review content to extract the topics discussed and how their attributes (e.g., the extent to which the topic is discussed) influence perceived helpfulness. Drawing insights from an extensive analysis of 24,687 Glassdoor reviews, our findings revealed that negative reviews of lower rated organizations tend to receive higher helpfulness ratings, particularly when provided by former employees. The topics identified through LDA encompassed both instrumental and symbolic aspects of organizations, with their extent of discussion uniquely interacting with sentiment. Our study sheds light on the profound impact of employee satisfaction on the perceived helpfulness of online reviews. By presenting a comprehensive analysis of online reviews, this research offers valuable insights for businesses to enhance their organizational attractiveness and better understand the dynamics of online reputation management. • Negative reviews are considered more helpful and are partially buffered by organizational ratings. • Former employees' reviews are considered more helpful to readers. • Computerized text analysis uncovers that employee reviewers discuss aspects of organizations' climates and provisions. • Employee reviewers who discuss several topics are more helpful. • Employee reviewers are less helpful when they negatively elaborate on a specific topic.

Computers in Human Behavior ReportsVol. 16
University of Calgary (CA)
Decent work and economic growth
Openalex Percentile: Top 9%
Employer Branding and e-HRM
2.70
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