Effects of social media brand-related content on fashion products buying behaviour – a moderated mediation model

Schivinski, Bruno; Pontes, Nicolas; Czarnecka, Barbara; Mao, Wen; Vita, Jennifer De; Stavropoulos, Vasileios

doi:10.1108/jpbm-05-2021-3468

Cited by 31 publications

(24 citation statements)

References 99 publications

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“…However, there is little research to understand their potential impacts on influencing other health behaviours. Future research could explore whether streamers can influence positive dietary behaviours in their audiences, just as micro-celebrities in other target audience groups (e.g., the fashion and beauty industries) influence their respective communities [ 107 ].…”

Section: Discussion Limitations and Implications For Future Practicesmentioning

confidence: 99%

Improving the Health of Emerging Adult Gamers—A Scoping Review of Influences

Micallef¹,

Parker²,

Brennan³

et al. 2022

Nutrients

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Emerging adults (EAs), defined as adults aged 18 to 25, remain a difficult group to engage in healthy behaviours (including positive dieting and eating patterns). The environmental elements that influence the health behaviours of EAs have been studied. However, the literature is mixed on how online game environments, including eSports and game streaming, can be used to positively engage EAs. In this scoping review, we identified and analysed research on online games, EAs, and dietary patterns to create a behavioural ecological map of influences that intersect with EAs through online games. In total, 75 studies were found, identifying 23 influences that intersect with EAs through their online game use. ESports organisations, eSports athletes, and content creators may be areas of future research (and intervention) as these factors could positively influence the dietary behaviours of EAs (through online games).

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Section: Discussion Limitations and Implications For Future Practicesmentioning

confidence: 99%

Improving the Health of Emerging Adult Gamers—A Scoping Review of Influences

Micallef¹,

Parker²,

Brennan³

et al. 2022

Nutrients

Self Cite

View full text Add to dashboard Cite

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“…Facebook, Linkedin, Twitter, Instagram, YouTube, Pinterest, and Google Plus are the types of social media sites that are usually used for fashion (Siddique et al, 2015). Consumers' dependence on social media to know the latest trends is high as social media affects consumers' fashion awareness (Schivinski et al, 2022). Thus, this study hypothesizes as follows:…”

Section: Social Media Influencementioning

confidence: 99%

Discovering advancement in technology and mass media influence on gen Y male fashion consciousness

Gunawan

Sosianika

Rafdinal

et al. 2022

DIJB

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The growth of fashion development among male consumers in Indonesia is not supported by the increasing study on the male fashion segment. Therefore, it is necessary to understand the Generation Y male buying intention towards fashion products since Gen Y is the most prospective market. This study aims to investigate the factors that influence fashion consciousness among males in Indonesia by using self-identity, social media influence, changes in work practices, advancement in information technology, mass media influence variables, and the impact of fashion consciousness on buying intention. By employing quantitative research, the data collected uses a self-administered online questionnaire. The samples of this research are 227 respondents of Gen Y males with their profile data. This study uses partial squares structural equation modeling analysis with the smart PLS application to test the hypothesis. The findings of this study show that self-identity, social media influence, and mass media influence have a significant impact on fashion consciousness. Also, fashion consciousness has significant results on buying intention.

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“…One way to reduce the perceived sanitary risk associated with SHC among non-SHC consumers is to educate them about the process by which SHC is handled prior to sale. For example, brand managers should constantly share the entire cleaning process of SHC on social media platforms such as Facebook and Instagram to reduce the perceived sanitary risk associated with SHC among non-SHC consumers, thereby increasing their intentions to buy SHC (Naeem and Ozuem, 2021; Schivinski et al , 2022). Additionally, positive testimonials from SHC consumers regarding the cleanliness of SHC should be shared with non-SHC consumers (Lis and Fischer, 2020).…”

Section: Managerial Contributionsmentioning

confidence: 99%

Does perceived risk influence the intention to purchase second-hand clothing? A multigroup analysis of SHC consumers versus non-SHC consumers

Koay

Cheah

Lom

2022

JPBM

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Purpose This study aims to investigate the influence of perceived risk, including financial, functional, aesthetic, sanitary, psychological and social risks, on the intention to purchase second-hand clothing (SHC) between SHC consumers and non-SHC consumers based on perceived risk theory. Design/methodology/approach A total of 290 responses were collected, with 110 from SHC consumers and 180 from non-SHC consumers. Partial least squares structural equation modelling was used to validate the hypotheses. Additionally, a permutation test and multigroup analysis (MGA) were performed. Findings The findings indicate that different types of risk have varying effects on both SHC and non-SHC consumers’ intention to purchase SHC. In particular, financial, aesthetic and social risks are found to be significant predictors of purchase intention for SHC consumers. By contrast, sanitary and psychological risks are significant predictors of purchase intention for non-SHC consumers. Furthermore, the MGA results indicate a significant difference between SHC consumers and non-SHC consumers in the relationship between financial risk, social risk and purchase intention. Originality/value To the best of the authors’ knowledge, this is the first study to examine the effects of different types of risk on the intention to purchase SHC in both SHC and non-SHC consumers. The findings will provide practitioners with practical insights for developing more effective strategies to target these two distinct consumer groups.

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Effects of social media brand-related content on fashion products buying behaviour – a moderated mediation model

Cited by 31 publications

References 99 publications

Improving the Health of Emerging Adult Gamers—A Scoping Review of Influences

Improving the Health of Emerging Adult Gamers—A Scoping Review of Influences

Discovering advancement in technology and mass media influence on gen Y male fashion consciousness

Does perceived risk influence the intention to purchase second-hand clothing? A multigroup analysis of SHC consumers versus non-SHC consumers

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