Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141536
Title: Reviewing the landscape of research on influencer-generated content
Authors: Chen, Xiaoyu
Chua, Alton Yeow Kuan
Keywords: Social sciences::Communication
Issue Date: 2020
Source: Chen, X., & Chua, A. Y. K. (2020). Reviewing the landscape of research on influencer-generated content. Proceedings of 2020 6th International Conference on Information Management (ICIM), 244-248. doi:10.1109/ICIM49319.2020.244706
Abstract: The purpose of this paper is to review and synthesize scholarly articles on influencer-generated content. Specifically, it attempts to identify: (1) theoretical foundations that have been used, (2) research methods that have been employed, and (3) research foci and future directions. Based on the in-depth content analysis of 167 related articles, this paper finds that 5 commonly used underpinning theories, namely, selfpresentation theory, online information processing theory, knowledge persuasion theory, signaling theory, and warranting theory. Primary and secondary research data from diverse sources, quantitative and qualitative analysis approaches have been employed by the articles. Current research foci include three clusters-identifying social media influencers, investigating influencers' motivations for creating content and assessing the social and economic impacts of influencer-generated content. Correspondingly, three research perspectives-content creator perspective, content generation perspective, and content impacts perspective are adopted to guide the future directions.
URI: https://hdl.handle.net/10356/141536
ISBN: 978-1-7281-5771-9
DOI: 10.1109/ICIM49319.2020.244706
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICIM49319.2020.244706.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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