Систематический обзор литературы по интеграции устойчивого развития и маркетинговой разведки в эпоху искусственного интеллекта

Целью статьи является рассмотрение проблем интеграции искусственного интеллекта (ИИ) в методы устойчивого маркетинга с выделением трансформационного потенциала, объединяющего современные технологии с насущными потребностями устойчивого развития. В статье подробно рассматривается, как ИИ играет решающую роль в улучшении маркетинговой разведки (аналитики), обеспечивая более эффективную и социально ответственную маркетинговую тактику, способствующую достижению целей устойчивого развития.

Методы: в исследовании на основе анализа существующей литературы и практики рассматривается, как основанные на ИИ идеи и аналитика улучшают процессы принятия решений, взаимодействие с клиентами и увеличивают влияние маркетинговых кампаний на экологические и социальные результаты. Рассматриваются трудности и моральные аспекты, связанные с использованием ИИ в маркетинге, такие как вопросы, связанные с конфиденциальностью данных, алгоритмической предвзятостью и важностью стратегической структуры, ориентированной на цели устойчивого развития.

Результаты: исследование показывает многообещающую, но сложную среду маркетинговой разведки, где ИИ рассматривается как важнейший инструмент для балансирования экономических целей с необходимостью экологической устойчивости и социальной ответственности. В статье подчеркивается важность непрерывных исследований, междисциплинарной командной работы и разработки политики для максимального увеличения влияния ИИ на формирование устойчивых практик в маркетинговой разведке.

Исследование вносит ценный научный вклад в дискуссию об устойчивом маркетинге и искусственном интеллекте, а также предлагает практические рекомендации для специалистов, работающих в этом динамично развивающемся коммерческом секторе.

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