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Factors Influencing Organizations’ Responses on Employer Review Platforms

Author

Listed:
  • Jana Kim Gutt

    (Paderborn University)

  • Karin Knorr

    (Paderborn University)

Abstract

In the digital age, where online reviews hold significant influence, organizations face the challenge of maintaining a positive online reputation. Negative reviews, particularly on employer platforms, can have lasting consequences, influencing prospective talent and shaping organizational success. While a growing body of literature investigates organizational response strategies to consumer reviews, only limited research attention has been brought to the responding behavior on employer review platforms. To close this gap, our study examines the factors correlated with an organization’s tendency to respond to employee reviews. We propose that the sense of community that organizations communicate through their identity claims, the consensus on a review, and the reviewers’ job position play crucial roles in shaping these responses. We explore whether these relationships are moderated by the ratings organizations hold on the platform. Grounded in empirical data from 872 job advertisements and 74,786 ratings and reviews on Kununu, our findings provide valuable insights into how organizations navigate employee reviews.

Suggested Citation

  • Jana Kim Gutt & Karin Knorr, 2025. "Factors Influencing Organizations’ Responses on Employer Review Platforms," Working Papers Dissertations 133, Paderborn University, Faculty of Business Administration and Economics.
  • Handle: RePEc:pdn:dispap:133
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    References listed on IDEAS

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    1. Plotkina, Daria & Munzel, Andreas, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 1-11.
    2. T. Ravichandran & Chaoqun Deng, 2023. "Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints," Information Systems Research, INFORMS, vol. 34(1), pages 319-341, March.
    3. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    4. Essig, Richard A., 2024. "The preference for users to experts in the domain of online product ratings," Journal of Business Research, Elsevier, vol. 173(C).
    5. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    6. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    7. Zhang, Ziqiong & Zhang, Zili & Yang, Yang, 2016. "The power of expert identity: How website-recognized expert reviews influence travelers' online rating behavior," Tourism Management, Elsevier, vol. 55(C), pages 15-24.
    8. Daria Plotkina & Andreas Munzel, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Post-Print halshs-01522518, HAL.
    9. Yao, Emery & Fang, Ruolian & Dineen, Brian R. & Yao, Xin, 2009. "Effects of customer feedback level and (in)consistency on new product acceptance in the click-and-mortar context," Journal of Business Research, Elsevier, vol. 62(12), pages 1281-1288, December.
    10. Daria Plotkina & Andreas Munzel, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Post-Print hal-02423571, HAL.
    11. R. Filieri & Elisabetta Raguseo & Claudio Vitari, 2019. "What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics," Post-Print hal-04779104, HAL.
    12. Davide Proserpio & Georgios Zervas, 2017. "Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews," Marketing Science, INFORMS, vol. 36(5), pages 645-665, September.
    13. Ottar Hellevik, 2009. "Linear versus logistic regression when the dependent variable is a dichotomy," Quality & Quantity: International Journal of Methodology, Springer, vol. 43(1), pages 59-74, January.
    14. Srikanth Parameswaran & Pubali Mukherjee & Rohit Valecha, 2023. "I Like My Anonymity: An Empirical Investigation of the Effect of Multidimensional Review Text and Role Anonymity on Helpfulness of Employer Reviews," Information Systems Frontiers, Springer, vol. 25(2), pages 853-870, April.
    15. Judith A. Chevalier & Yaniv Dover & Dina MayzlinDina Mayzlin, 2018. "Channels of Impact: User Reviews When Quality Is Dynamic and Managers Respond," Marketing Science, INFORMS, vol. 37(5), pages 688-709, September.
    16. Aaron K. Chatterji & Michael W. Toffel, 2010. "How firms respond to being rated," Strategic Management Journal, Wiley Blackwell, vol. 31(9), pages 917-945, September.
    17. Sangjae Lee & Joon Yeon Choeh, 2016. "The determinants of helpfulness of online reviews," Behaviour and Information Technology, Taylor & Francis Journals, vol. 35(10), pages 853-863, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    organizational responses; employer review platforms; organizational identity claims; quantita-tive text analysis; job advertisements;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • M59 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Other

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