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User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA

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  • Jie Zhao

    (School of Business, Anhui University, Hefei 230601, China)

  • Can Yan

    (School of Business, Anhui University, Hefei 230601, China)

Abstract

It is of great significance for enterprises’ development to effectively use mobile Internet to carry out information feed advertising. This paper aims to study the influence factors and effect of the users’ acceptance intention of information feed advertising through empirical analysis to provide references for further optimizing information feed advertising strategy. Traditional quantitative analysis methods, such as the Structural Equation Model (SEM), can only measure a single factor’s influence from an individual perspective. Therefore, we introduce the Qualitative Comparative Analysis (QCA) and present a two-stage hybrid method based on SEM and QCA. In the first stage, we analyze the influence of a single variable on the acceptance intention of information feed advertising by SEM. Then, in the second stage, we analyze the impact of different variable combinations by QCA. Based on the actual questionnaire data, we define six independent variables and use AMOS, SPSS, and fsQCA to carry out SEM analysis and the fuzzy-set-based QCA analysis, respectively. The SEM analysis results show that the four factors (including consistency, informativeness, sociability, and advertising reward) have a significant positive impact on user acceptance of information feed advertising. On the contrary, perceived advertising clustering has a significant negative impact. In addition, accuracy has no considerable effect. The QCA analysis reveals that seven constructs of six variables can all significantly enhance information feed ads’ acceptance intention.

Suggested Citation

  • Jie Zhao & Can Yan, 2020. "User Acceptance of Information Feed Advertising: A Hybrid Method Based on SEM and QCA," Future Internet, MDPI, vol. 12(12), pages 1-17, November.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:12:p:209-:d:451339
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    References listed on IDEAS

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    1. Urueña, Alberto & Hidalgo, Antonio, 2016. "Successful loyalty in e-complaints: FsQCA and structural equation modeling analyses," Journal of Business Research, Elsevier, vol. 69(4), pages 1384-1389.
    2. Jie Zhao & Jianfei Wang & Suping Fang & Peiquan Jin, 2018. "Towards Sustainable Development of Online Communities in the Big Data Era: A Study of the Causes and Possible Consequence of Voting on User Reviews," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    3. Alonso-Dos-Santos, Manuel & Rejón Guardia, Francisco & Pérez Campos, Carlos & Calabuig-Moreno, Ferran & Ko, Yong Jae, 2018. "Engagement in sports virtual brand communities," Journal of Business Research, Elsevier, vol. 89(C), pages 273-279.
    4. Campbell, Colin & Evans, Nathaniel J., 2018. "The Role of a Companion Banner and Sponsorship Transparency in Recognizing and Evaluating Article-style Native Advertising," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 17-32.
    5. Gligor, David & Bozkurt, Siddik, 2020. "FsQCA versus regression: The context of customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    6. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    7. Miranda, Sandra & Tavares, Patrícia & Queiró, Rita, 2018. "Perceived service quality and customer satisfaction: A fuzzy set QCA approach in the railway sector," Journal of Business Research, Elsevier, vol. 89(C), pages 371-377.
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