SSRN Electronic Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
SSRN Electronic Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Опубликована: Янв. 6, 2025
This study explores the transformative role of short video marketing in modern digital campaigns, with a focus on its ability to engage audiences, enhance brand visibility, and foster consumer trust. By systematically reviewing 78 peer-reviewed articles published between 2018 2024, this research synthesizes insights into dynamics platforms like TikTok, Instagram Reels, YouTube Shorts. The highlights effectiveness algorithmic personalization delivering tailored content, driving 60% increase engagement rates compared non-personalized campaigns. It also emphasizes pivotal influencers, particularly micro-influencers, connecting niche audiences fostering trust through relatability authenticity. Key performance metrics such as retention rates, shares, real-time analytics are identified critical tools for evaluating campaign success, while emerging trends augmented reality, live shopping, interactive advertisements demonstrate innovative potential marketing. review identifies significant gaps, including long-term impact ethical considerations data-driven marketing, strategies cross-platform content optimization. providing comprehensive understanding current landscape future directions, offers valuable researchers practitioners seeking navigate evolving domain effectively ethically.
Язык: Английский
Процитировано
0
Advances in finance, accounting, and economics book series, Год журнала: 2025, Номер unknown, С. 161 - 182
Опубликована: Янв. 14, 2025
The chapter delves into the critical nexus of artificial intelligence (AI) and global security systems in context financial anomalies mitigation. It examines escalating prevalence sophistication anomalies, underscoring imperative for innovative robust countermeasures. introduces dimension exordium framework as a novel paradigm integrating advanced technologies with strategic methodologies to enhance fraud prevention detection. core explores operationalisation AI, encompassing machine learning (ML), neural networks natural language processing (NLP), domain mitigation, critically examining benefits limitations AI-driven systems, emphasizing significance data quality, algorithmic bias, system transparency. Moreover, practical implementation framework, importance continuous monitoring, evaluation adaptation.
Язык: Английский
Процитировано
0
SSRN Electronic Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0