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

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Smart Innovation, Systems and Technologies ; 439Verlag: Singapore : Springer Nature Singapore, 2025Verlag: Singapore : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XVI, 927 p. 177 illus., 134 illus. in color.)ISBN:

9789819630813

Schlagwörter:

006.3 23

DOI: DOI: 10.1007/978-981-96-3081-3Online-Ressourcen:

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Zusammenfassung: 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.Zusammenfassung: 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.PPN: PPN: 1927327989Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT

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