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A meta-analytic review of mobile advertising research

Author

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  • Maseeh, Haroon Iqbal
  • Jebarajakirthy, Charles
  • Pentecost, Robin
  • Ashaduzzaman, Md.
  • Arli, Denni
  • Weaven, Scott

Abstract

Adopting a meta-analysis approach, this study synthesises the quantitative literature on mobile advertising and proposes a meta-analytic conceptual model that shows the frequently studied variables in the literature. We performed a bivariate and a multivariate meta-analysis to examine the association between the antecedents, attitude, and intention to receive mobile advertisements. The findings show that personalisation, entertainment, credibility, and informativeness are positively associated with customer attitudes towards receiving mobile advertisements while irritation is negatively associated with it. Attitudes have a positive relationship with intention to receive mobile advertising. To investigate the possible reasons for inconsistent findings, we performed a moderation analysis. The findings provide insightful recommendations to mobile advertisers to design effective mobile advertisements that can trigger positive customer attitudes and intention to receive mobile advertisements. Academically, this meta-analysis shows the most influencing factors that trigger positive customer attitudes towards receiving mobile advertisements. Furthermore, it explains the possible reasons for inconsistent findings of the previous studies. Accordingly, it contributes to the mobile advertising literature.

Suggested Citation

  • Maseeh, Haroon Iqbal & Jebarajakirthy, Charles & Pentecost, Robin & Ashaduzzaman, Md. & Arli, Denni & Weaven, Scott, 2021. "A meta-analytic review of mobile advertising research," Journal of Business Research, Elsevier, vol. 136(C), pages 33-51.
  • Handle: RePEc:eee:jbrese:v:136:y:2021:i:c:p:33-51
    DOI: 10.1016/j.jbusres.2021.06.022
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    9. Sharma, Anshuman & Dwivedi, Rohita & Mariani, Marcello M. & Islam, Tahir, 2022. "Investigating the effect of advertising irritation on digital advertising effectiveness: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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