05727nam a22005895i 4500 978-3-031-65727-6 DE-He213 20251030112907.0 cr nn 008mamaa 240823s2024 sz | s |||| 0|eng d 9783031657276 978-3-031-65727-6 10.1007/978-3-031-65727-6 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach [electronic resource] / edited by Soumi Dutta, Álvaro Rocha, Pushan Kumar Dutta, Pronaya Bhattacharya, Ramanjeet Singh. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. VII, 440 p. 78 illus., 67 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Information Systems Engineering and Management, 3004-9598 ; 9 -- 1: Introduction to Influencer Marketing and Data Analytics. -- 2: The Evolution of Influencer Marketing. -- 3: From Word-of-Mouth to AI-Powered Engagement: The Dynamic Evolution of Influencer Marketing in the Digital Era. -- 4: Revolutionizing Influencer Marketing: Harnessing the Power of Data Analytics and Artificial Intelligence (AI). -- 5: Influencer Marketing Unleashed: Leveraging Data Analytics for Success. -- 6: Data analytics and AI for influencer marketing. -- 7: Interdisciplinary Data Analytics Transforming Influencer Marketing Strategies. -- 8: Influencer Marketing Evolution: Unveiling the Power of Data Analytics and AI for Strategic Campaign Ex-cellence. -- 9: Sustainability and Influencer Marketing: Measuring the Gap between Consumer Attitudes and Purchase Behavior. -- 10: An Audience Threshold in the Millions: Exploring Influencer Marketing Activations Online. -- 11: Metaverse: A New Frontier for Influencer Marketing. -- 12: Influencer Marketing on New Platforms and the Metaverse for Male Grooming Brands. -- 13: Impact of Influencer Marketing through Instagram among Youth: A Study. -- 14: E-commerce Platforms Extend Beyond Sell-ing... A Case Study on India. -- 15: Analyzing the Effectiveness of Influencer Campaigns in Driving Customer Acquisition and Retention: Perspectives from Unilever Pakistan. -- 16: Analysing the impact of hosting influencer giveaways on purchase intention of luxury items by Generation Z. -- 17: Innovative Fusion: Attention-Augmented Support Vector Machines for Superior Text Classification for Social Marketing. -- 18: Fuzzy Artificial Intelligence as a Technique to Find Relative Desirability for Fake Review Detection. -- 19: A Study on the Influence of Artificial Intelligence on Brain Plasticity with Reference to Consumer Behaviour and Workplace Dynamics. -- 20: Influential Asanas: An In-depth Study Exploring the Dynamics of Yoga Influencers. -- 21: Online User Choices Data Analytics and Privacy in Digital Marketing: Legal-Ethical Landscapes in the Digital- Futuristic Arena Projecting Multiple Layers of Artificial Intelligence and Blockchain. -- 22: The pinnacle of influence: unveiling the evolution, global dynamics, and multidisciplinary tapestry of social media influencer marketing (2016-2024). In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dynamic field requires more than just intuition—it demands a mastery of data analytics and an interdisciplinary approach. Introducing this groundbreaking book equips marketers, analysts, and business leaders with the tools and strategies to navigate the complexities of influencer marketing with precision and confidence. Written by leading experts in the field, this comprehensive book explores the intersection of data analytics, consumer behavior, and influencer marketing, offering a holistic perspective on this powerful marketing technique. This book equips the readers with the knowledge and tools to stay ahead of the curve and drive unparalleled success in the ever-evolving world of influencer marketing. Engineering Data processing. Computational intelligence. 64052 Marketing. 521 Data Engineering. 66059 Computational Intelligence. 64052 Marketing. 521 Dutta, Soumi. editor. edt http://id.loc.gov/vocabulary/relators/edt 80848 Rocha, Álvaro. editor. edt http://id.loc.gov/vocabulary/relators/edt Dutta, Pushan Kumar. editor. edt http://id.loc.gov/vocabulary/relators/edt 82769 Bhattacharya, Pronaya. editor. edt http://id.loc.gov/vocabulary/relators/edt 82770 Singh, Ramanjeet. editor. edt http://id.loc.gov/vocabulary/relators/edt 82771 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031657269 Printed edition: 9783031657283 Printed edition: 9783031657290 Information Systems Engineering and Management, 3004-9598 ; 9 78463 https://doi.org/10.1007/978-3-031-65727-6 ZDB-2-INR ZDB-2-SXIT 62672 62672