Buch, Englisch, Band 205, 797 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1547 g
Proceedings of ICMarkTech 2020
Buch, Englisch, Band 205, 797 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1547 g
Reihe: Smart Innovation, Systems and Technologies
ISBN: 978-981-334-182-1
Verlag: Springer Nature Singapore
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2020), held at ISCTE - University Institute of Lisbon, in the city of Lisbon in Portugal, between 8 and 10 October 2020. It covers up-to-date cutting-edge research on artificial intelligence applied in marketing, virtual and augmented reality in marketing, business intelligence databases and marketing, data mining and big data, marketing data science, web marketing, e-commerce and v-commerce, social media and networking, geomarketing and IoT, marketing automation and inbound marketing, machine learning applied to marketing, customer data management and CRM, and neuromarketing technologies.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Marketing
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
Weitere Infos & Material
How committed I am with Tourist-Intelligent Virtual Assistants?.- Human Intelligence vs Artificial Intelligence: A Comparison of Traditional and AI-based.- Methods for Prospect Generation.- A trademark image retrieval tool based on deep learning features.- The Impact of TikTok on Digital Marketing Sentiment Analysis using web-based platforms on virtual education during the 2020 lockdown.- The Post COVID-19 Shopping Experience: Thoughts on the Role of Emerging Retail Technologies.- Contribution of Research and Development to the Efficiency of Social Progress in Latin America: Patents.- The Organizations’ Paths to Market Success.- The Application of Text Mining for the analysis of connotation in a Higher Education Institution.