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

Author(s):  
Jinjie Li ◽  
Jiayin Qi ◽  
Lianren Wu ◽  
Nan Shi ◽  
Xu Li ◽  
...  

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.

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 339
Author(s):  
Jiancheng Lu ◽  
Xiaolong Luo ◽  
Ningning Yang ◽  
Yang Shen

Greenspace exposure (GSE) may have a positive impact on mental health. However, existing research lacks a classification analysis of the influence pathways of different GSE on mental health. Meanwhile, the research method is limited to the measurement of the green space ratio (GSR) based on remote sensing data, which ignores people’s real perception of greenspace. This paper aims to further expand the measurement method of GSE, taking Hangzhou, China as an example, and to reveal the influence mechanism of different GSE modes on mental health. We obtained the personal information, mental health, physical activity, and other data of the interviewees through a questionnaire (n = 461). Combined with a remote sensing satellite and the Baidu Street view database, the method of image interpretation and deep learning was used to obtain the GSR, green visual ratio (GVR), and green visual exposure (GVE). The structural equation model is used to analyze the relationship between different variables. The results showed that: (1) GSE has a certain positive effect on mental health; (2) there are differences in the influence mechanism of multiple measures of GSE on mental health—the GVR and GVE measures based on the interaction perspective between human and greenspace make the influence mechanism more complicated, and produce direct and indirect influence paths; and (3) greenspace perception, sense of community, and physical activity can act as mediators, and have indirect effects. Finally, we call for expanding the measurement index and methods of GSE and integrating them into the management and control practices of urban planning to promote the healthy development of communities and even cities.


2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.


ETIKONOMI ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 153-168
Author(s):  
Taslima Jannat ◽  
Nor Asiah Omar ◽  
Syed Shah Alam

The purpose of this study is to examine whether deception influences unethical behavior, employee perceptions of threat, and their coping appraisal processes. It also examines the role of deception in influencing employees' threat appraisal and coping appraisal processing. Using the structural equation model (PLS-SEM), this study reveals a strong relationship between deception, unethical behavior, employees' perceived threat appraisal process, and the coping appraisal process. The empirical findings suggest that deception is a common practice in organizations and significantly influences unethical behavior. This study also finds that deception plays a crucial role in reducing employees' perceptions of threat regarding negative outcomes for engaging in unethical behavior while significantly influencing employees' perceived coping appraisal process, which suggests that deceptive behavior can protect them from the threat of detection their unethical behavior. The findings provide new insights into the relationship among deception, employees' perceived threat appraisal process, coping appraisal process, and unethical behavior and paves the way for further research in this area.JEL Classification: L3, M1, M10, M14, M48How to Cite:Jannat, T., Omar, N. A., & Alam, S. H. (2021). Is Deception an Antecedent for Employees’ Cognitive Appraisal Proceses and Unethical Behavior?. Etikonomi, 20(1), 153 – 168. https://doi.org/10.15408/etk.v20i1.15433.


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