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Third-party online organizational reviews: Explaining review-and-rating patterns of the United States military and large corporate organizations

  • William T. Howe
  • , Ryan S. Bisel

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Virtual spaces are a new and influential means by which present and past organizational members share reviews of their organizational experiences and socialize potential newcomers; however, online reviews can be negative and jeopardize an organization's image. This investigation employed social identity theory and uncertainty management theory as a means of explaining patterned user ratings of organizational reviews online. In a first study, we content analyzed socialization storytelling about Basic Training on americangrit.com. Statistical analysis revealed that viewers rated stories more highly when the story portrayed the military favorably. In a second study, a content analysis of organizational reviews posted to indeed.com replicated and extended this pattern: Website visitors rewarded positive reviews of U.S. Military branches with higher ratings, while reviews of large corporate organizations (i.e., Apple, Bank of America, Michelin) varied. Implications for theory and practice conclude the paper.

Original languageEnglish
Article number100006
JournalComputers in Human Behavior Reports
Volume1
DOIs
StatePublished - Jan 1 2020

Bibliographical note

Publisher Copyright:
© 2020 The Authors

Funding

Financial support was provided from the Office of the Vice President for Research and Partnerships and the Office of the Provost, University of Oklahoma .

Funders
Office of the Executive Vice President for Research and Partnerships, Purdue University
Southwestern Oklahoma State Univ.
Medical University of South Carolina Office of the Provost

    Keywords

    • Military
    • Organizational socialization
    • Social identity theory
    • Totalistic organizations
    • Uncertainty management theory
    • Virtual spaces

    ASJC Scopus subject areas

    • Neuroscience (miscellaneous)
    • Applied Psychology
    • Human-Computer Interaction
    • Computer Science Applications
    • Cognitive Neuroscience
    • Artificial Intelligence

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