Effect of social media influencers on brand preferences through trust: Moderating role of emotional attachment
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Received December 27, 2023;Accepted March 26, 2024;Published May 3, 2024
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Author(s)Khansa Zaman ,Link to ORCID Index: https://orcid.org/0000-0002-4889-8556Link to ORCID Index: https://orcid.org/0009-0003-1695-2348Link to ORCID Index: https://orcid.org/0009-0006-4424-5730
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DOIhttp://dx.doi.org/10.21511/im.20(2).2024.11
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Article InfoVolume 20 2024, Issue #2, pp. 128-139
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Creative Commons Attribution 4.0 International License
Social media influencers have gained immense attention in recent times due to increased use in the cosmetics industry. Trust and emotional attachment play a vital role between influencers and followers. The aim of this study is to investigate the impact of social media influencers’ characteristics on predicting intention to buy the recommended beauty brands through trust and a moderating role of emotional attachment with influencers. A sample size of 342 respondents from Pakistan was used to empirically test the hypothesized relationships. The respondents were social media users who follow renowned celebrities on various social media platforms and buy beauty products based on their recommendations. Thus, a purposive sampling technique was employed for data collection using online and in-person data collection methods. Quantitative techniques of regression and process models were used for data analysis. The findings show that characteristics of social media influencers, such as credibility and trustworthiness, have a significant positive impact (β = 0.521, p < .05) on the intention to buy cosmetic products from a particular brand. Likewise, emotional attachment between influencers and followers strengthens the effect on willingness to buy an endorsed brand approving moderation (β = 0.584, p < .05). Trust is also an important mediator as it plays a central role between characteristics of social media influencers and intention to buy products (β = 0.411, p < .05). This study discussed the implications and future research directions while incorporating research limitations.
Acknowledgment
The authors extend their appreciation to the deanship of scientific research at King Khalid University for funding this work through a large group research project under grant number (RGP. 2/554/45).
- Keywords
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JEL Classification (Paper profile tab)M30, M31, M37, M39
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References42
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Tables8
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Figures1
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- Figure 1. Conceptual model
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- Table 1. Demographic data
- Table 2. Social media presence
- Table 3. Frequency of social media use
- Table 4. Use of social media for cosmetic recommendations
- Table 5. Reliability of variables
- Table 6. Correlation analysis
- Table 7. Hypotheses testing
- Table 8. Effect of SMIs on purchase intention through SMI trust
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- Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177-1190.
- Alwan, M., & Alshurideh, M. (2022). The effect of digital marketing on purchase intention: Moderating effect of brand equity. International Journal of Data and Network Science, 6(3), 837-848.
- Balaban, D. C., & Szambolics, J. (2022). A proposed model of self-perceived authenticity of social media influencers. Media and Communication, 10(1), 235-246.
- Balaban, D., Iancu, I., Mustățea, M., Pavelea, A., & Culic, L. (2020). What determines young people to follow influencers? The role of perceived information quality and trustworthiness on users’ following intentions. Romanian Journal of Communication and Public Relations, 22(3), 5-19.
- Bernard, H. R. (2017). Research methods in anthropology: Qualitative and quantitative approaches. Rowman & Littlefield.
- Berne-Manero, C., & Marzo-Navarro, M. (2020). Exploring how influencer and relationship marketing serve corporate sustainability. Sustainability, 12(11), Article 4392.
- Brown, D., & Hayes, N. (2008). Influencer marketing. Routledge.
- Chekima, B., Chekima, F. Z., & Adis, A. A. A. (2020). Social media influencer in advertising: The role of attractiveness, expertise and trustworthiness. Journal of Economics and Business, 3(4).
- Cheung, M. L., Leung, W. K., Aw, E. C. X., & Koay, K. Y. (2022). “I follow what you post!”: The role of social media influencers’ content characteristics in consumers’ online brand-related activities (COBRAs). Journal of Retailing and Consumer Services, 66, Article 102940.
- Choi, T. M., Guo, S., Liu, N., & Shi, X. (2020). Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era. European Journal of Operational Research, 284(3), 1031-1042.
- Cosenza, T. R., Solomon, M. R., & Kwon, W. S. (2015). Credibility in the blogosphere: A study of measurement and influence of wine blogs as an information source. Journal of Consumer Behaviour, 14(2), 71-91.
- De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798-828.
- Digital Marketing Institute. (2021, October 19). 20 surprising influencer marketing statistics.
- Elfil, M., & Negida, A. (2017). Sampling methods in clinical research; An educational review. Emergency, 5(1), Article e52.
- Freberg, K., Graham, K., McGaughey, K., & Freberg, L. A. (2011). Who are the social media influencers? A study of public perceptions of personality. Public Relations Review, 37(1), 90-92.
- Gogtay, N. J., & Thatte, U. M. (2017). Principles of correlation analysis. Journal of the Association of Physicians of India, 65(3), 78-81.
- Goldsmith, R. E., Lafferty, B. A., & Newell, S. J. (2000). The impact of corporate credibility and celebrity credibility on consumer reaction to advertisements and brands. Journal of Advertising, 29(3), 43-54.
- Gupta, Y., Agarwal, S., & Singh, P. B. (2020). To study the impact of instafamous celebrities on consumer buying behavior. Academy of Marketing Studies Journal, 24(2), 1-13.
- Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
- Hassan, S. H., Teo, S. Z., Ramayah, T., & Al-Kumaim, N. H. (2021). The credibility of social media beauty gurus in young millennials’ cosmetic product choice. Plos one, 16(3), e0249286.
- Hollebeek, L. (2011). Exploring customer brand engagement: Definition and themes. Journal of Strategic Marketing, 19(7), 555-573.
- Jaitly, R. C., & Gautam, O. (2021). Impact of social media influencers on customer engagement and brand perception. International Journal of Internet Marketing and Advertising, 15(2), 220-242.
- Jiménez-Castillo, D., & Sánchez-Fernández, R. (2019). The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention. International Journal of Information Management, 49, 366-376.
- Kapitan, S., & Silvera, D. H. (2016). From digital media influencers to celebrity endorsers: attributions drive endorser effectiveness. Marketing Letters, 27, 553-567.
- Katz, E., & Lazarsfeld, P. F. (1955). Personal influence: The part played by people in the flow of mass communications. The Free Press.
- Ki, C. W. C., & Kim, Y. K. (2019). The mechanism by which social media influencers persuade consumers: The role of consumers’ desire to mimic. Psychology & Marketing, 36(10), 905-922.
- Kim, D. Y., & Kim, H. Y. (2021). Trust me, trust me not: A nuanced view of influencer marketing on social media. Journal of Business Research, 134, 223-232.
- Ladhari, R., Massa, E., & Skandrani, H. (2020). YouTube vloggers’ popularity and influence: The roles of homophily, emotional attachment, and expertise. Journal of Retailing and Consumer Services, 54, Article 102027.
- Lamberton, C., & Stephen, A. T. (2016). A thematic exploration of digital, social media, and mobile marketing: Research evolution from 2000 to 2015 and an agenda for future inquiry. Journal of Marketing, 80(6), 146-172.
- Lee, J. A., & Eastin, M. S. (2021). Perceived authenticity of social media influencers: Scale development and validation. Journal of Research in Interactive Marketing, 15(4), 822-841.
- Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58-73.
- Magno, F. (2017). The influence of cultural blogs on their readers’ cultural product choices. International Journal of Information Management, 37(3), 142-149.
- Ouvrein, G., Pabian, S., Giles, D., Hudders, L., & De Backer, C. (2021). The web of influencers. A marketing-audience classification of (potential) social media influencers. Journal of Marketing Management, 37(13-14), 1313-1342.
- Rahman, M. M. (2023). Sample size determination for survey research and non-probability sampling techniques: A review and set of recommendations. Journal of Entrepreneurship, Business and Economics, 11(1), 42-62.
- Sánchez-Fernández, R., & Jiménez-Castillo, D. (2021). How social media influencers affect behavioural intentions towards recommended brands: The role of emotional attachment and information value. Journal of Marketing Management, 37(11-12), 1123-1147.
- Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, Article 101742.
- Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41-50.
- Statista. (2024). Number of internet and social media users worldwide as of January 2024 (in billions).
- Thomson, M., MacInnis, D. J., & Whan Park, C. (2005). The ties that bind: Measuring the strength of consumers’ emotional attachments to brands. Journal of Consumer Psychology, 15(1), 77-91.
- Tracckr. (2023). Top 10 Beauty Brands in Influencer Marketing of 2023.
- Trivedi, J., & Sama, R. (2020). The effect of influencer marketing on consumers’ brand admiration and online purchase intentions: An emerging market perspective. Journal of Internet Commerce, 19(1), 103-124.
- Vehovar, V., Toepoel, V., & Steinmetz, S. (2016). Non-probability sampling. In C. Wolf, D. Joye, T. W. Smith, & Y.-c. Fu (Eds.), The Sage handbook of survey methods (pp. 329-345). London: Sage.
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Conceptualization
Khansa Zaman, Sajjad Nawaz Khan, Muhhamad Abbas, Amani AbdAlatti
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Methodology
Khansa Zaman, Sajjad Nawaz Khan, Muhhamad Abbas, Amani AbdAlatti
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Writing – original draft
Khansa Zaman
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Writing – review & editing
Khansa Zaman, Sajjad Nawaz Khan, Muhhamad Abbas, Amani AbdAlatti
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Funding acquisition
Sajjad Nawaz Khan, Amani AbdAlatti
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Project administration
Muhhamad Abbas
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Conceptualization
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Acknowledgment
This work was funded by a research grant from the Universitas Padjadjaran, Indonesia.