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المؤلفAl Sulaiti, Sara
المؤلفBen Mimoun, Mohamed Slim
المؤلفElgohary, Hatem
تاريخ الإتاحة2024-05-15T11:28:09Z
تاريخ النشر2024-04
اسم المنشورData in Brief
المعرّفhttp://dx.doi.org/10.1016/j.dib.2024.110128
الاقتباسAl Sulaiti, S., Mimoun, M. S. B., & Elgohary, H. (2024). Instagram influencers attributes and parasocial relationship: A dataset from Qatar. Data in Brief, 53, 110128.
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85185168099&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/55047
الملخصThe dataset investigates how social media influencers’ attributes affect followers’ parasocial relationship. It also examines the mediating role of the parasocial relationship between the social media influencers’ attributes and behavioral intentions. A snowballing sampling technique was used to target Instagram users in Qatar. 574 valid responses were analyzed using Partial least squares structural equation modeling (PLS-SEM). The data provides descriptive information about the essential Instagram influencers among users in Qatar. It also gives new insight into the influencers’ characteristics that will impact consumer behavior the most. The dataset could be very helpful for brands and marketers in Qatar in choosing the most effective influencers. The dataset presents a real value for researchers examining social media consumers behavior specifically in GCC countries context or conducting cross-national comparative studies.
اللغةen
الناشرElsevier
الموضوعParasocial relationship
Partial least squares structural equation modeling PLS-SEM
Purchase intention
Social media influencer
WOM
العنوانInstagram influencers attributes and parasocial relationship: A dataset from Qatar
النوعDataset
رقم المجلد53
ESSN2352-3409
dc.accessType Open Access


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