{"id":6781,"date":"2026-04-08T20:49:13","date_gmt":"2026-04-08T12:49:13","guid":{"rendered":"https:\/\/moresourcing.com\/gain-consumer-insight-with-generative-ai\/"},"modified":"2026-04-08T20:49:13","modified_gmt":"2026-04-08T12:49:13","slug":"gain-consumer-insight-with-generative-ai","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/ru\/gain-consumer-insight-with-generative-ai\/","title":{"rendered":"\u041f\u043e\u043b\u0443\u0447\u0438\u0442\u0435 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043e \u043f\u043e\u0442\u0440\u0435\u0431\u0438\u0442\u0435\u043b\u044f\u0445 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430"},"content":{"rendered":"

<\/p>\n

\n

1.<\/b> \u041d. \u0410\u0440\u043e\u0440\u0430, \u0418. \u0427\u0430\u043a\u0440\u0430\u0431\u043e\u0440\u0442\u0438 \u0438 \u042e. \u041d\u0438\u0441\u0438\u043c\u0443\u0440\u0430, \u00ab\u0413\u0438\u0431\u0440\u0438\u0434\u044b \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430 \u0434\u043b\u044f \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u043e\u0432\u044b\u0445 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0439: \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 (LLM) \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u043e\u0430\u0432\u0442\u043e\u0440\u043e\u0432\u00bb,\u00a0\u0416\u0443\u0440\u043d\u0430\u043b \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0430\u00a089, \u0432\u044b\u043f. https:\/\/doi.org\/10.1177\/00222429241276529<\/a>;\u041e\u0442\u0447\u0435\u0442 \u043e\u0431 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0438 \u043c\u0438\u0440\u043e\u0432\u043e\u0433\u043e \u0440\u044b\u043d\u043a\u0430<\/a>(\u042d\u0441\u043e\u043c\u0430\u0440, 2025).<\/p>\n

2.<\/b> \u041a. \u0427\u0436\u0430\u043d, \u041a. \u042f\u043d, \u042e. \u0412\u0430\u043d \u0438 \u0434\u0440., \u00ab\u0418\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442 \u0432 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u043b\u0435\u043a\u0430\u0440\u0441\u0442\u0432\u00bb, Nature Medicine 31, \u0432\u044b\u043f. https:\/\/doi.org\/10.1038\/s41591-024-03434-4<\/a>.<\/p>\n

3.<\/b> \u0413. \u0410\u0445\u0435\u0440, \u0420.\u0418. \u0410\u0440\u0440\u0438\u0430\u0433\u0430 \u0438 \u0410.\u0422. https:\/\/doi.org\/10.1017\/pan.2023.2<\/a>.<\/p>\n

4.<\/b> \u041e. \u0422\u0443\u0431\u0438\u044f, \u0413.\u0417. https:\/\/doi.org\/10.1287\/mksc.2025.0262<\/a>.<\/p>\n

5.<\/b> \u0410.\u0420.\u00ab\u041e\u0431\u0440\u0430\u0442\u043d\u043e\u0435\u00bb \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u0440\u044b\u043d\u043a\u0430<\/a>\u00bb, Harvard Business Review 63, \u2116 3 (\u043c\u0430\u0439 1985 \u0433.): 176\u2013182.<\/p>\n

6.<\/b> \u0414. \u042e\u0440\u0430\u0444\u0441\u043a\u0438\u0439 \u0438 \u0414\u0436.\u0425.\u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u0440\u0435\u0447\u0438 \u0438 \u044f\u0437\u044b\u043a\u0430: \u0432\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0443 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430, \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u0443\u044e \u043b\u0438\u043d\u0433\u0432\u0438\u0441\u0442\u0438\u043a\u0443 \u0438 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0440\u0435\u0447\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u044f\u0437\u044b\u043a\u043e\u0432\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439<\/a>\u00bb, 3-\u0435 \u0438\u0437\u0434. (\u0447\u0435\u0440\u043d\u043e\u0432\u0438\u043a), PDF-\u0444\u0430\u0439\u043b (\u0441\u0430\u043c\u043e\u0441\u0442\u043e\u044f\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u044f, \u0430\u0432\u0433\u0443\u0441\u0442 2025 \u0433.), https:\/\/web.stanford.edu.<\/p>\n

7.<\/b> \u042d. \u0411\u0440\u0438\u043d\u044c\u043e\u043b\u044c\u0444\u0441\u0441\u043e\u043d, \u0411. \u0427\u0430\u043d\u0434\u0430\u0440 \u0438 \u0420. \u0427\u0435\u043d, \u00ab\u041a\u0430\u043d\u0430\u0440\u0435\u0439\u043a\u0438 \u0432 \u0443\u0433\u043e\u043b\u044c\u043d\u043e\u0439 \u0448\u0430\u0445\u0442\u0435?<\/a>\u00bb, \u0440\u0430\u0431\u043e\u0447\u0438\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442, \u0421\u0442\u044d\u043d\u0444\u043e\u0440\u0434\u0441\u043a\u0430\u044f \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0438\u044f \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u044d\u043a\u043e\u043d\u043e\u043c\u0438\u043a\u0438, \u0430\u0432\u0433\u0443\u0441\u0442 2025 \u0433.<\/p>\n<\/p><\/div>\n

#\u0412\u044b\u0438\u0433\u0440\u044b\u0448 #\u041f\u043e\u0442\u0440\u0435\u0431\u0438\u0442\u0435\u043b\u044c #\u0418\u043d\u0441\u0430\u0439\u0442 #\u0413\u0435\u043d\u0435\u0440\u0430\u0442\u043e\u0440<\/p>","protected":false},"excerpt":{"rendered":"

1. \u041d. \u0410\u0440\u043e\u0440\u0430, \u0418. \u0427\u0430\u043a\u0440\u0430\u0431\u043e\u0440\u0442\u0438 \u0438 \u042e. \u041d\u0438\u0448\u0438\u043c\u0443\u0440\u0430, \u00ab\u0413\u0438\u0431\u0440\u0438\u0434\u044b \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430 \u0434\u043b\u044f \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u043e\u0432\u044b\u0445 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0439: \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u0431\u043e\u043b\u044c\u0448\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (LLM) \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u043e\u0430\u0432\u0442\u043e\u0440\u043e\u0432\u00bb,\u00a0\u0416\u0443\u0440\u043d\u0430\u043b \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u0430\u00a089, \u0432\u044b\u043f.<\/p>","protected":false},"author":1,"featured_media":6782,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-6781","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-management"],"acf":[],"yoast_head":"\nGain Consumer Insight With Generative AI - MORE SOURCING LTD<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/moresourcing.com\/ru\/gain-consumer-insight-with-generative-ai\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gain Consumer Insight With Generative AI\" \/>\n<meta property=\"og:description\" content=\"1. 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N. Arora, I. Chakraborty, and Y. Nishimura, \u201cAI-Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators,\u201d\u00a0Journal of Marketing\u00a089, no. 2 (March 2025): 43-70, https:\/\/doi.org\/10.1177\/00222429241276529; and \u201cGlobal Market Research Report\u201d (Esomar, 2025). 2. K. Zhang, X. Yang, Y. 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