Expectation dissonance: the role of perceived negativity bias in enterprise social media in explaining accountability and support

Ward van Zoonen*, Toni van der Meer, Anu Sivunen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Purpose: Enterprise social media (ESM) are expressive spaces where users exchange emotional workplace communication. While some studies have explored how positive emotions may be contagious, little research explored the notion that negative communication may accumulate on enterprise social media. This study explores perceived negativity bias and its correlates in the context of ESM. Design/methodology/approach: This study relies on survey data collected from 599 employees of a global organization. The response rate was 18.7%. Structural equation modeling was used to test the hypotheses. Findings: The results contribute to research on ESM by demonstrating that perceived negativity bias is positively related to feelings of accountability and negatively associated with social support. Furthermore, the results indicate that unmet communication expectations on ESM can have implications for perceived social support beyond online contexts and accountability through perceived negativity bias. Research limitations/implications: The findings demonstrate how employees' unmet expectations about ESM use increase feelings that a digital environment is disproportionately negative, which may create an “unsafe” space for employees and a fear of being held accountable for their contributions. This study highlights how the Expectation-Disconfirmation Theory provides a fruitful framework for studying enterprise social technologies. Originality/value: This study suggests that work is not merely a rational endeavor, and that emotions and personal feelings (including negative ones) may shape workplace communication on ESM. We contribute to research on ESM use by using the Expectation-Disconfirmation Theory as a lens to study antecedents and implications of perceived negativity bias.

Original languageEnglish
Pages (from-to)196-215
Number of pages20
JournalInformation Technology and People
Volume37
Issue number8
Early online date27 Aug 2024
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© 2024, Ward van Zoonen, Toni van der Meer and Anu Sivunen.

Keywords

  • Accountability
  • ESM
  • Expectations
  • Perceived negativity bias
  • Social support

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