Analyzing Driving Factors of User-Generated Content on YouTube and Its Influence on Consumers Perceived Value

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Marketing and Smart Technologies

Abstract

Companies are increasingly focusing on audiovisual content as part of their strategy, and YouTube being a massive video hosting platform that makes content sharing possible has been the most successful platform for reaching their consumers products and services. Researches have proven that user-generated content impacts brand engagement, loyalty and firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of consumers perceived value from user-generated content, on social media. We analyze the driving factors of user-generated content on YouTube and its influence on consumers perceived value. The sample data consists of 282 YouTube users’ responses collected through an electronic survey. This research contributes toward the digital content marketing literature by complementing existing research exploring consumer behavior on social media, assessing the driving factors of user-generated content and its impacts on customer perceived value. The study findings provide academic contributions and several challenges for firm and user-generated content, on actions they can tackle. Finally, based on the study limitations, we discuss future research in generated content in social media, providing insights for future research directions.

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Acknowledgments

This work is financed by portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, under the project UIDB/05422/2020.

The authors gratefully acknowledge the anonymous respondents that helped in the data gathering process in this study.

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Correspondence to Ana Torres .

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Torres, A., Pilar, P., Santos, J.D., Pereira, I.V., Pires, P.B. (2023). Analyzing Driving Factors of User-Generated Content on YouTube and Its Influence on Consumers Perceived Value. In: Reis, J.L., Peter, M.K., Varela González, J.A., Bogdanović, Z. (eds) Marketing and Smart Technologies. Smart Innovation, Systems and Technologies, vol 337. Springer, Singapore. https://doi.org/10.1007/978-981-19-9099-1_47

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  • DOI: https://doi.org/10.1007/978-981-19-9099-1_47

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