My Account Log in

1 option

Marketing and Smart Technologies : Proceedings of ICMarkTech 2024, Volume 2 / edited by José Luís Reis, José Cascalho, Marc K. Peter, Luís Paulo Reis, Maria Teresa Tiago.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

View online
Format:
Book
Author/Creator:
Reis, José Luís.
Contributor:
Cascalho, José.
Peter, Marc K.
Reis, Luís Paulo.
Tiago, Maria Teresa.
Series:
Smart Innovation, Systems and Technologies, 2190-3026 ; 439
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Cooperating objects (Computer systems).
Internet of things.
Computational Intelligence.
Artificial Intelligence.
Cyber-Physical Systems.
Internet of Things.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Cyber-Physical Systems.
Internet of Things.
Physical Description:
1 online resource (1215 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2024), held at University of Azores, Ponta Delgada, Azores, Portugal, between December 5 and 7, 2024. 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.
Contents:
Chapter 1: E-government business model based on blockchain: Examining citizens’ readiness
Chapter 2: Digital Transformation at Delta Cafés in Portugal: A case study
Chapter 3: Cost-effective and operationally sustainable supply chain inventory planning: a mathematical programming approach
Chapter 4: Business Intelligence and Operations Research in Supply Chain Management: A Systematic Review
Chapter 5: Internal Connection Intensity as Logistic and Marketing Indicator of Museum Clusters Performance
Chapter 6: Sustainable Supply Chain Strategies: A Review of EU Policies and Blockchain Implementations (2019-2024)
Chapter 7: Machine learning for cargo code prediction in port logistics
Chapter 8: Integrating Artificial Intelligence and the Internet of Things for Environmental Monitoring in Seaports: A dynamic model for reducing CO2 emissions
Chapter 9: Logistics 4.0 and Digital Supply Chain: A Systematic Review
Chapter 10: Port-Centric Strategies for Optimizing Agro-Commodity Supply Chains: Insights from Soybean Flow Redesign
etc.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9630-81-9
OCLC:
1524424927

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account