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ファイル | 記述 | サイズ | フォーマット | |
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j.techfore.2021.121246.pdf | 642.71 kB | Adobe PDF | 見る/開く |
タイトル: | Impacts of influencer attributes on purchase intentions in social media influencer marketing: Mediating roles of characterizations |
著者: | Masuda, Hisashi Han, Spring H. Lee, Jungwoo |
著者名の別形: | 増田, 央 |
キーワード: | Influencer marketing Social media Purchase intention Theory of persuasion Parasocial relationship YouTube |
発行日: | Jan-2022 |
出版者: | Elsevier BV |
誌名: | Technological Forecasting and Social Change |
巻: | 174 |
論文番号: | 121246 |
抄録: | Social media influencer marketing has recently received significant attention. Many studies have explored the parasocial relationship (PSR) formation between influencers and followers. PSR has not often been weighted against other widely used relationship marketing constructs, despite the multitude of PSR studies. This study developed a research model based on the theory of persuasion, which was constructed to investigate the relative weight of the PSR. The study considered three personal attributes (attitude homophily, physical attractiveness, and social attractiveness) and three characterizations (trustworthiness, perceived expertise, and PSR) as antecedents of purchase intention. Data were collected through a survey of respondents who bought products/services after watching YouTube advertisements made by influencers. The study found that PSR had a significantly positive impact on purchase intentions relative to other characterizations and that PSR was significantly related to the three personal attributes. In addition, PSR formation was significantly influenced by consumers’ perceived influencer types. The survey showed that social media influencer marketing strategies need to be fine-tuned based on personal attributes, characterizations, and influencer types. This paper discusses the theoretical and practical implications of these findings. |
著作権等: | © 2021. This manuscript version is made available under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license. The full-text file will be made open to the public on 1 January 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving'. This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
URI: | http://hdl.handle.net/2433/269206 |
DOI(出版社版): | 10.1016/j.techfore.2021.121246 |
出現コレクション: | 学術雑誌掲載論文 |

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