Elaboration Likelihood Model (ELM) Analysis of User Respond on Douyin Advertising Placement
Abstract
With the development of mobile Internet technology, short-video social media with the characteristics of lower costs, wider dissemination, stronger interactive capabilities, and more precise marketing positioning, has gradually entered people’s world. Douyin is currently one of the most influential short-video social media that is becoming more and more popular with the public. Advertising placement is an increasingly frequent marketing tool used by advertisers on Douyin. In this context, it is very important to explore how users to process advertising placement in a short-video environment. This research studied the relationship between User Activity and Elaboration Participation based on the Elaboration Likelihood Model, and then infer which ELM routes were users with different activity tend to choose. In terms of specific theoretical framework, this article divided User Activity into two dimensions, User Viscosity and User Engagement, and maede them as independent variables, and constructed a cross-relationship model with two subordinate dimensions of Elaboration Participation: Scrutiny and Ads Involvement, which were regarded as dependent variables. This study adopted quantitative research methods, and SPSS24.0 as well as Office Excel 2016 was used to analyze the 158 valid data collected from the survey. Based on the data results, the following conclusions were drawn: a) User Activity is positively related to Elaboration Participation; b) User Viscosity is positively related to Ads Involvement; c) User Engagement is positively related to Ads Involvement. According to the conclusions drawn in this article, a series of theoretical and practical implications were generated, which guided both academic researchers and practitioners in short-video-related industries. At the same time, the limitations of this article and the suggestions for future researchers were also discussed simply and clearly in relevant sections.
Keywords
Full Text:
PDFReferences
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79-95.
Bahtar, A. Z., Muda, M., & Razak, N. A. The influence of customer engagement on emotion, purchase intention and positive User-Generated Content (UGC) spread on instagram.
Borah, A., Banerjee, S., Lin, Y. T., Jain, A., & Eisingerich, A. B. (2020). Improvised marketing interventions in social media. Journal of Marketing, 84(2), 69-91.
Dwivedi, A., & McDonald, R. E. (2020). Examining the efficacy of brand social media communication: a consumer perspective. Journal of Marketing Theory and Practice, 1-14.
Griffith, E. E., Nolder, C. J., & Petty, R. E. (2018). The elaboration likelihood model: A meta-theory for synthesizing auditor judgment and decision-making research. Auditing: A Journal of Practice & Theory, 37(4), 169-186.
Haenlein, M., Anadol, E., Farnsworth, T., Hugo, H., Hunichen, J., & Welte, D. (2020). Navigating the new era of influencer marketing: How to be successful on Instagram, TikTok, & Co. California Management Review, 63(1), 5-25.
Hamouda, M. (2018). Understanding social media advertising effect on consumers’ responses. Journal of Enterprise Information Management.
Larsen, D. A. (2019). Using the elaboration likelihood model to explain performance appraisal inaccuracies. Journal of Management Policy and Practice, 20(4).
Li, F. D., Huang, H. Q., & Li, Y. N. (2019, December). Research on the impact of douyin short video marketing advertising on consumers’ purchase intention. Journal of Shanghai University of Commerce, 20(6), 76-89.
Li, R., & Suh, A. (2015). Factors influencing information credibility on social media platforms: Evidence from Facebook pages. Procedia Computer Science, 72, 314-328.
Lien, N. H. (2001). Elaboration likelihood model in consumer research: A review. Proceedings of the National Science Council, 11(4), 301-310.
Liu, G. F., Gao, P. C., Li, Y. C., & Zhang, Z. P. (2019, August). Research on the influence of social media short video marketing on consumer brand attitude. In 2019 5th International Conference on Social Science and Higher Education (ICSSHE 2019). Atlantis Press.
Morris, J. D., Woo, C., & Singh, A. J. (2005). Elaboration likelihood model: A missing intrinsic emotional implication. Journal of Targeting, Measurement and Analysis for Marketing, 14(1), 79-98.
Petty, R. E., & Wegener, D. T. (1999). The elaboration likelihood model: Current status and controversies. Dual-Process Theories in Social Psychology, 1, 37-72.
Setyani, V., Zhu, Y. Q., Hidayanto, A. N., Sandhyaduhita, P. I., & Hsiao, B. (2019). Exploring the psychological mechanisms from personalized advertisements to urge to buy impulsively on social media. International Journal of Information Management, 48, 96-107.
Shareef, M. A., Mukerji, B., Dwivedi, Y. K., Rana, N. P., & Islam, R. (2019). Social media marketing: Comparative effect of advertisement sources. Journal of Retailing and Consumer Services, 46, 58-69.
Valos, M. J., Maplestone, V. L., Polonsky, M. J., & Ewing, M. (2017). Integrating social media within an integrated marketing communication decision-making framework. Journal of Marketing Management, 33(17-18), 1522-1558.
Voorveld, H. A. (2019). Brand communication in social media: a research agenda. Journal of Advertising, 48(1), 14-26.
Voorveld, H. A., van Noort, G., Muntinga, D. G., & Bronner, F. (2018). Engagement with social media and social media advertising: The differentiating role of platform type. Journal of advertising, 47(1), 38-54.
Wang, J. H., Ye, S., & Yu, S. L. (2020). Toutiao and Douyin’s explosive product power and differentiated operations-Internet business model innovation series research report. Dongxing Securities Company in-depth research report, 4-13.
Yang, J., Zhao, Q., Zhao, X., Wu, D., Li, M., & Zhang, W. (2020). User’s Attitude under the Perspective of Mental Energy Flow. Mathematical Problems in Engineering, 2020.
Zuo, H., & Wang, T. (2019). Analysis of Tik Tok User Behavior from the Perspective of Popular Culture. Frontiers in Art Research, 1(3).
DOI: http://dx.doi.org/10.3968/12796
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Reminder
- How to do online submission to another Journal?
- If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:
1. Register yourself in Journal B as an Author
- Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.
2. Submission
Online Submission: http://cscanada.org/index.php/css/submission/wizard
- Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
- We only use four mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases: caooc@hotmail.com; office@cscanada.net; ccc@cscanada.net; ccc@cscanada.org
Articles published in Canadian Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).
Canadian Social Science Editorial Office
Address: 1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.
Telephone: 1-514-558 6138
Website: Http://www.cscanada.net; Http://www.cscanada.org
E-mail:caooc@hotmail.com; office@cscanada.net
Copyright © Canadian Academy of Oriental and Occidental Culture