Understanding the effect of social media marketing activities: The mediation of social identification, perceived value, and satisfaction
Abstract
With the prevalence of Internet, social media has become an important means for online marketing events. Individuals and companies both create fan pages on online platforms and develop business opportunities using social media. While many past studies have investigated social media, few have mentioned the effects of social media marketing activities. This study proposed the effects of social media marketing activities on continuance intention, participation intention and purchase intention via the mediation of social identification, perceived value, and satisfaction. To empirically test the effects of social media marketing activities, this study conducted an online survey on 502 social media users for data analysis. The analytical results indicated that social media marketing activities indirectly affect satisfaction through social identification and perceived value. At the same time, social identification and perceived value directly affect satisfaction that then influences continuance intention, participation intention and purchase intention. Finally, the academic and management implications based on the empirical results of this study are provided as references for the improvement of social media marketing.
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Empirical studies have found that perceived value positively impacts customer satisfaction in most cases.
“Empirical studies focused on the relationships between perceived value and customer satisfaction discovered that the perceived value positively impacts customer satisfaction in most cases [45,89,90].”
From Investigating the Impact of Critical Factors on Continuance Intention towards Cross-Border Shopping Websites (2019) · cites this paper as [89]
Perceived value affects consumer decision.
“Perceived value has been found to affect consumer decision (Chen and Lin, 2019; Chung and Koo, 2015; Kim et al., 2007).”
From Understanding user switch of information seeking: From search engines to generative AI (2026) · cites this paper as Chen and Lin, 2019
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- Authors
- Chen, S.-C., & Lin, C.-P.
- Affiliations
- National Kaohsiung University of Science and Technology (TW)
- National Yang Ming Chiao Tung University (TW)
- Corresponding author
- Lin, Chieh-Peng
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 140
- Pages
- 22-32
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2905830491
- Cited by
- 606
- References
- 118
- Citations by year
- 2026: 47 · 2025: 86 · 2024: 130 · 2023: 139 · 2022: 93 · 2021: 61 · 2020: 33 · 2019: 15 · 2017: 2
- FWCI
- 62.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technological Forecasting and Social Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (106-2410-H-992-349)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- social media marketing, social identification, perceived value, customer satisfaction, continuance intention, participation intention, purchase intention, mediating effect, digital marketing
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