ArticleFrontiers in psychology2022
An assessment of influential factors developing the intention to use social media sites: A technology acceptance model based approach.
Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 9 citations in OpenAlex.
- Impact of technological acceptance on application-based engagement among type 2 diabetes patients: local insights and implications for developing countries.Journal of pharmaceutical policy and practice · 2026Article
- AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention.Behavioral sciences (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to elaborate the different factors which attract users to use social media sites. These main factors are subjective norms, image, efficiency and satisfaction along with the mediating role of perceived usefulness. Survey method was used to collect data from B2B fashion brands in Pakistan. Convenient sampling technique was used to collect data from targeted respondents. Collected data was analyzed using Smart-PLS 3.3 version. Results express that subjective norms, image, efficiency and satisfaction have positive and significant impact on perceived usefulness and intention to use social media sites in B2B context within Pakistani fashion brands. Results further reveal that perceived usefulness partially mediates the relationship between subjective norms, image, efficiency, satisfaction and intention to use social media sites. This study will enhance the available literature in the area of technology acceptance model (TAM) and will provide useful insights to B2B managers to use efficiently use social media sites for the promotion of their brands. This study is limited to fashion brands, future researchers can expand this model to other area of business.
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