JOURNAL ARTICLE

Signaling Quality to Consumers: The Role of Social Media Marketing.

  • Published In: Information Systems Research (INFORMS), 2026, v. 37, n. 1. P. 643 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Cui, Qinquan; Arifoğlu, Kenan; Zhan, Dongyuan 3 of 3

Abstract

This article analyzes firms' strategic spending on social media marketing (SMM), focusing on its dual roles: expanding consumer awareness and revealing product quality information. Using a game-theoretic model, the study finds that no separating equilibrium exists where firms of different quality levels distinctly signal their quality through SMM spending; instead, only partial pooling or pooling equilibria arise. When SMM solely increases awareness (benchmark case), mid- and low-quality firms tend to spend more on marketing than high-quality firms, which may spend less to avoid mimicry. Introducing SMM's information revelation role complicates quality differentiation further, making it harder for high-quality firms to distinguish themselves, and eliminating the possibility of an inverted U-shaped relationship between quality and SMM spending. These findings challenge prior literature and suggest that high-quality firms might benefit from targeted, lower SMM spending rather than broad, heavy investment, offering new insights into the variability of firms' social media marketing strategies.

Additional Information

  • Source:Information Systems Research (INFORMS). 2026/03, Vol. 37, Issue 1, p643
  • Document Type:Article
  • Subject Area:Marketing
  • Publication Date:2026
  • ISSN:1047-7047
  • DOI:10.1287/isre.2023.0625
  • Accession Number:192724218
  • Copyright Statement:Copyright of Information Systems Research (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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