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Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach / / edited by Soumi Dutta, Álvaro Rocha, Pushan Kumar Dutta, Pronaya Bhattacharya, Ramanjeet Singh
Advances in Data Analytics for Influencer Marketing: An Interdisciplinary Approach / / edited by Soumi Dutta, Álvaro Rocha, Pushan Kumar Dutta, Pronaya Bhattacharya, Ramanjeet Singh
Autore Dutta Soumi
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (434 pages)
Disciplina 620.00285
Altri autori (Persone) RochaÁlvaro
DuttaPushan Kumar
BhattacharyaPronaya
SinghRamanjeet
Collana Information Systems Engineering and Management
Soggetto topico Engineering - Data processing
Computational intelligence
Marketing
Data Engineering
Computational Intelligence
ISBN 3-031-65727-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- 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).
Record Nr. UNINA-9910882896203321
Dutta Soumi  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Illustrating Digital Innovations Towards Intelligent Fashion : Leveraging Information System Engineering and Digital Twins for Efficient Design of Next-Generation Fashion
Illustrating Digital Innovations Towards Intelligent Fashion : Leveraging Information System Engineering and Digital Twins for Efficient Design of Next-Generation Fashion
Autore Raj Pethuru
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (615 pages)
Altri autori (Persone) RochaAlvaro
DuttaPushan Kumar
FioriniMichele
PrakashC
Collana Information Systems Engineering and Management Series
ISBN 9783031710520
9783031710513
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910908365803321
Raj Pethuru  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui