Quotation Pernkopf, Katharina, Latzke, Markus, Mayrhofer, Wolfgang. 2021. „Effects of Mixed Signals on Employer Attractiveness: A Mixed-Method Study Based on Signalling and Convention Theory“. Human Resource Management Journal. 31 (2), 392-413.




Traditional recruiting activities are marked by information asymmetry and organisational information control, leading to uncertainty among applicants about employer attractiveness. New technologies profoundly change the picture. Recruiting websites provide more thorough, yet controlled information; online employer reviews offer employee‐generated information mostly out of organisational control. While this diminishes information asymmetry, applicants have to handle incongruent information. It remains largely unclear how so‐called ‘mixed signals’ affect employer attractiveness and how applicants interpret them. To address the issue, we developed an integrated theoretical framework based on signalling and convention theory to better understand how applicants interpret and evaluate signals about employers. We then conducted a mixed‐method study to examine how congruent and mixed signals influence perceived employer attractiveness. Our results show that while congruent signals increase employer attractiveness and mixed‐signal situations reduce it, distinct evaluative patterns emerge when potential applicants reflect and judge employers. Implications for future research and practice are discussed.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Human Resource Management Journal
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new MAN-A, STRAT-B, WH-A
Language English
Title „Effects of Mixed Signals on Employer Attractiveness: A Mixed-Method Study Based on Signalling and Convention Theory“
Volume 31
Number 2
Year 2021
Page from 392
Page to 413
Reviewed? N
URL https://onlinelibrary.wiley.com/doi/epdf/10.1111/1748-8583.12313
DOI https://doi.org/10.1111/1748-8583.12313
Open Access Y
Open Access Link https://onlinelibrary.wiley.com/doi/epdf/10.1111/1748-8583.12313


Pernkopf, Katharina (Details)
Latzke, Markus (Details)
Mayrhofer, Wolfgang (Details)
Interdisciplinary Institute for Management and Organizational Behavior IN (Details)
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