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Employer Ratings through Crowdsourcing on Social Media: An Examination of U.S. Fortune 500 Companies

Author

Listed:
  • Hung-Yue Suen

    (Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei 10610, Taiwan)

  • Kuo-En Hung

    (Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei 10610, Taiwan)

  • Fan-Hsun Tseng

    (Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei 10610, Taiwan)

Abstract

The aims of this study are to examine the effect of crowdsourced employer ratings and employee recommendations of an employer as an employer of choice, to examine which employer ratings that represent different employee value propositions can predict the overall employer rating through crowdsourcing, to examine whether the Fortune 500 ranking can also influence overall employer ratings, and to mine which keywords are popularly used when employees post a comment about the pros and cons of their employers on a crowdsourced employer branding platform. The study collected crowdsourced employer review data from Glassdoor based on 2019 Fortune 500 companies, and the results found that crowdsourced employer ratings are positively associated with “recommend to a friend,” while culture and values predominantly influence overall employer ratings. The rank of Fortune 500 has less predictive power for overall employer ratings than for other specific employer ratings, except for business outlook. The most popular keywords of Pros on Glassdoor are work–life balance and pay and benefits, whereas the most popular keywords of Cons on Glassdoor are work–life balance and upper management.

Suggested Citation

  • Hung-Yue Suen & Kuo-En Hung & Fan-Hsun Tseng, 2020. "Employer Ratings through Crowdsourcing on Social Media: An Examination of U.S. Fortune 500 Companies," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:16:p:6308-:d:394915
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    References listed on IDEAS

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    1. Salman Yousaf & Jong Min Kim & Soonchul Hyun, 2025. "‘Recommend to a Friend’ Metric: A Non‐Financial Measure of Firm Performance and Employee Satisfaction," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(4), pages 4039-4061, December.

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