Understanding the Differential Effectiveness of Marketer versus User-generated Advertisements in Closed Social Networking Sites: An Empirical Study of WeChat

Teng Teng, Huifang Li, Yulin Fang, Lingzhi Shen

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
408 Downloads (Pure)

Abstract

Purpose
In recent years, closed social networking sites (SNSs) have become popular advertising media. Marketer-generated advertisements (MGAs) and user-generated advertisements (UGAs) are the two pillars of advertising businesses. The objective of this research is to investigate and compare how these ad types (i.e. MGA versus UGA) affect advertising effectiveness in closed SNSs.

Design/methodology/approach
The authors conducted a scenario-based experiment of 403 WeChat users in China and used partial least squares structural equation modeling (PLS-SEM) to examine the research model.

Findings
The study results indicate that UGAs perform better than MGAs in enhancing consumers' perceived informativeness, credibility and entertainment, while MGAs are more likely to make consumers feel irritated than UGAs in closed SNSs. Moreover, consumers' perceived informativeness, credibility and entertainment positively influence advertising effectiveness, whereas perceived irritation negatively affects it.

Originality/value
This study reveals consumers' psychological response mechanisms to MGA and UGA and sheds light on their differential effectiveness by extending the stimuli-organism-response model to the context of closed SNSs.
Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalInternet Research
Volume32
Issue number6
Early online date17 Mar 2022
DOIs
Publication statusPublished (in print/issue) - 2 Nov 2022

Bibliographical note

Funding Information:
The authors are grateful to the senior editor, the associate editor, and the anonymous reviewers for their invaluable guidance and insightful comments. This study was supported by MOE (Ministry of Education in China) Project of Humanities and Social Sciences [Project No. 21YJC630058], the grant from National Natural Science Foundation of China (NSFC) [Project No. 71601027], and the General Research Fund (GRF) offered by the Hong Kong Research Grants Council [Project NO. 11509420].

Publisher Copyright:
© 2022, Emerald Publishing Limited.

Keywords

  • closed social networking sites
  • user-generated advertisements
  • stimuli-organism-response model
  • advertising effectiveness
  • informativeness
  • Credibility
  • Entertainment
  • irritation
  • Marketer-generated advertisements

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