Are People Better Employees Than Machines? Dehumanizing Language and Employee Performance Appraisals

Luke Fowler, Stephen Utych

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Objective

Although performance appraisals are based on objective procedures, cognitive biases from appraisers may create avenues for errors in judgment of employee performance. Dehumanizing language, or metaphors that characterize humans in nonhuman terms (e.g., cogs in a machine), is one important way cognitive biases can occur

Method

We conduct a survey experiment to determine if dehumanizing language affects perceptions of employee value or competency within the context of performance appraisals.

Result

Findings show that when employees are referred to in mechanistic terms, respondents perceive that employee to be deserve hire compensation, and be more competent, as compared to referring to employees in human or animalistic terms.

Conclusion

Conclusions suggest dehumanizing language is an important type of cognitive bias that affects individuals in administrative environments, and the managerial and ethical implications of its use require further examination.

Original languageAmerican English
Pages (from-to)2006-2019
Number of pages14
JournalSocial Science Quarterly
Volume102
Issue number4
DOIs
StatePublished - Jul 2021

EGS Disciplines

  • Public Affairs, Public Policy and Public Administration

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