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July 8, 2026
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Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
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The role of social influence in generative artificial intelligence ChatGPT adoption intentions among undergraduate and graduate students

Innovations in Education and Teaching International. 2025. Vol. 62. No. 5. P. 1559–1573.
Korchak A., Al Murshidi G., Getman A., Raouf N., Arshe M., Al Meheiri N., Shulgina G., Costley J.

This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among peers and its use intention was examined. Survey data (271 UAE university students) revealed a significant relationship between social influence and GenAI use intention, with undergraduate students being more affected by peers than graduates. This difference may be explained by higher autonomy, level of independence, and less cohesive peer networks among graduate students. The increased GenAI popularity among undergraduate students can also be attributed to some degree to the non-voluntary nature of their environment and a stronger peer influence. The study contributes to UTAUT advancement by extending the social influence construct to voluntary and non-voluntary GenAI use settings.

Research target: Education
Language: English
DOI
Text on another site
Keywords: graduate studentsundergraduate studentstechnology acceptancepeer influenceGenerative artificial intelligence (GenAI)GenAI use intention
Publication based on the results of:
Using digital traces to study learners' behavioral strategies (2025)
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