The Continued Use of Social Commerce Platforms and Psychological Anxiety-The Roles of Influencers, Informational Incentives and FoMO

doi:10.3390/ijerph182212254

. 2021 Nov 22;18(22):12254.

doi: 10.3390/ijerph182212254.

The Continued Use of Social Commerce Platforms and Psychological Anxiety-The Roles of Influencers, Informational Incentives and FoMO

Jinjie Li¹, Jiayin Qi^{2

3

4}, Lianren Wu^{2

3

5}, Nan Shi⁵, Xu Li⁶, Yuxin Zhang^{2

3}, Yinyin Zheng⁵

Affiliations

¹ School of Tourism Management, Shanghai Normal University, Shanghai 201418, China.
² Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai 200336, China.
³ Key Lab of Data Science and Management Decision, Shanghai University of International Business and Economics, Shanghai 200336, China.
⁴ Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing 100086, China.
⁵ School of Management, Shanghai University of International Business and Economics, Shanghai 200336, China.
⁶ YunlianZhigao (Beijing) Information Technology Research Institute Co. Ltd., Beijing 100086, China.

PMID: 34832008
PMCID: PMC8620271
DOI: 10.3390/ijerph182212254

Free PMC article

The Continued Use of Social Commerce Platforms and Psychological Anxiety-The Roles of Influencers, Informational Incentives and FoMO

Jinjie Li et al. Int J Environ Res Public Health. 2021.

Free PMC article

. 2021 Nov 22;18(22):12254.

doi: 10.3390/ijerph182212254.

Authors

Jinjie Li¹, Jiayin Qi^{2

3

4}, Lianren Wu^{2

3

5}, Nan Shi⁵, Xu Li⁶, Yuxin Zhang^{2

3}, Yinyin Zheng⁵

Affiliations

¹ School of Tourism Management, Shanghai Normal University, Shanghai 201418, China.
² Institute of Artificial Intelligence and Change Management, Shanghai University of International Business and Economics, Shanghai 200336, China.
³ Key Lab of Data Science and Management Decision, Shanghai University of International Business and Economics, Shanghai 200336, China.
⁴ Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing 100086, China.
⁵ School of Management, Shanghai University of International Business and Economics, Shanghai 200336, China.
⁶ YunlianZhigao (Beijing) Information Technology Research Institute Co. Ltd., Beijing 100086, China.

PMID: 34832008
PMCID: PMC8620271
DOI: 10.3390/ijerph182212254

Abstract

Why does the continued use of social commerce platforms fail to promote consumer wellbeing? This study explores the roles of influencers, informational incentives and fear of missing out (FoMO) in the relationships between social commerce platform use and consumer mental health. Data were obtained through questionnaires, as well as constructing a research model. Statistical analysis and path analysis of the structural equation model were performed by the software IBM SPSS and AMOS, and the following results were obtained. (1) Influencer expertise and interactivity, informational incentives and FoMO have a significant impact on consumers' continued use of social commerce platforms. (2) Materialism has no significant effect on consumer social commerce platform use. (3) FoMO mediates the relationships between informational incentives and continued use of social commerce platforms. (4) Consumers' continuous use of social commerce platforms has a strong relationship with mental health. (5) Continued use of social commerce platforms can lead to intense social engagement, as well as more severe outcomes such as psychological anxiety and compulsive buying. The findings of the paper have important implications for the development of social business theory and management practice.

Keywords: FoMO; compulsive buying; influencer marketing; informational incentives; materialism; mental health; psychological anxiety; social commerce; social engagement.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

**Figure 2**
Distribution of social commerce platforms. 1 = Dianping; 2 = Xiaohongshu; 3 = Dewu; 4 = Mogujie; 5 = Meilishuo; 6 = Hers; 7 = Xiaohongchun; 8 = Kwaishop; 9 = Douyinec; 10 = Meiyou; 11 = Fensii; 12 = others.

**Figure 3**
Basic model testing results. n = 366; *** p ≤ 0.001, ** p ≤ 0.01.

**Figure 4**
Mediation model. *** p < 0.001; n = 366; II indicates informational incentives; CUSCP indicates continued use of social commerce platform; FoMO indicates fear of missing out.

See this image and copyright information in PMC

Cited by

Examining the Association Between Digital Stress Components and Psychological Wellbeing: A Meta-Analysis.
Khetawat D, Steele RG. Khetawat D, et al. Clin Child Fam Psychol Rev. 2023 Dec;26(4):957-974. doi: 10.1007/s10567-023-00440-9. Epub 2023 Jul 11. Clin Child Fam Psychol Rev. 2023. PMID: 37432506 Review.
The Relationship between Social Media and the Increase in Mental Health Problems.
Beyari H. Beyari H. Int J Environ Res Public Health. 2023 Jan 29;20(3):2383. doi: 10.3390/ijerph20032383. Int J Environ Res Public Health. 2023. PMID: 36767749 Free PMC article.
Research on correlation between English writing self-efficacy and psychological anxiety of college students.
Li B. Li B. Front Psychol. 2022 Jul 27;13:957664. doi: 10.3389/fpsyg.2022.957664. eCollection 2022. Front Psychol. 2022. PMID: 35967632 Free PMC article.

References

1. Huang Z., Benyoucef M. From e-commerce to social commerce: A close look at design features. Electron. Commer. Res. Appl. 2013;12:246–259. doi: 10.1016/j.elerap.2012.12.003. - DOI
1. Zhou L., Zhang P., Zimmermann H.-D. Social commerce research: An integrated view. Electron. Commer. Res. Appl. 2013;12:61–68. doi: 10.1016/j.elerap.2013.02.003. - DOI
1. Yadav M.S., de Valck K., Hennig-Thurau T., Hoffman D.L., Spann M. Social Commerce: A Contingency Framework for Assessing Marketing Potential. J. Interact. Mark. 2013;27:311–323. doi: 10.1016/j.intmar.2013.09.001. - DOI
1. Stephen A.T., Toubia O. Deriving Value from Social Commerce Networks. J. Mark. Res. 2010;47:215–228. doi: 10.1509/jmkr.47.2.215. - DOI
1. Zheng X., Zhu S., Lin Z. Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decis. Support Syst. 2013;56:211–222. doi: 10.1016/j.dss.2013.06.002. - DOI

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions

LinkOut - more resources

Full Text Sources
Medical
- Genetic Alliance

[1] Huang Z., Benyoucef M. From e-commerce to social commerce: A close look at design features. Electron. Commer. Res. Appl. 2013;12:246–259. doi: 10.1016/j.elerap.2012.12.003. - DOI

[2] Huang Z., Benyoucef M. From e-commerce to social commerce: A close look at design features. Electron. Commer. Res. Appl. 2013;12:246–259. doi: 10.1016/j.elerap.2012.12.003. - DOI

[3] Zhou L., Zhang P., Zimmermann H.-D. Social commerce research: An integrated view. Electron. Commer. Res. Appl. 2013;12:61–68. doi: 10.1016/j.elerap.2013.02.003. - DOI

[4] Zhou L., Zhang P., Zimmermann H.-D. Social commerce research: An integrated view. Electron. Commer. Res. Appl. 2013;12:61–68. doi: 10.1016/j.elerap.2013.02.003. - DOI

[5] Yadav M.S., de Valck K., Hennig-Thurau T., Hoffman D.L., Spann M. Social Commerce: A Contingency Framework for Assessing Marketing Potential. J. Interact. Mark. 2013;27:311–323. doi: 10.1016/j.intmar.2013.09.001. - DOI

[6] Yadav M.S., de Valck K., Hennig-Thurau T., Hoffman D.L., Spann M. Social Commerce: A Contingency Framework for Assessing Marketing Potential. J. Interact. Mark. 2013;27:311–323. doi: 10.1016/j.intmar.2013.09.001. - DOI

[7] Stephen A.T., Toubia O. Deriving Value from Social Commerce Networks. J. Mark. Res. 2010;47:215–228. doi: 10.1509/jmkr.47.2.215. - DOI

[8] Stephen A.T., Toubia O. Deriving Value from Social Commerce Networks. J. Mark. Res. 2010;47:215–228. doi: 10.1509/jmkr.47.2.215. - DOI

[9] Zheng X., Zhu S., Lin Z. Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decis. Support Syst. 2013;56:211–222. doi: 10.1016/j.dss.2013.06.002. - DOI

[10] Zheng X., Zhu S., Lin Z. Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach. Decis. Support Syst. 2013;56:211–222. doi: 10.1016/j.dss.2013.06.002. - DOI

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

The Continued Use of Social Commerce Platforms and Psychological Anxiety-The Roles of Influencers, Informational Incentives and FoMO

Affiliations

The Continued Use of Social Commerce Platforms and Psychological Anxiety-The Roles of Influencers, Informational Incentives and FoMO

Authors

Affiliations

Abstract

Conflict of interest statement

Figures

Similar articles

Cited by

References

Publication types

MeSH terms

LinkOut - more resources

Full Text Sources

Medical

Abstract

Conflict of interest statement

Figures

Similar articles

Cited by

References

Publication types

MeSH terms

Related information

LinkOut - more resources

Full Text Sources

Medical