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Determinants of electronic waste generation in Bitcoin network : evidence from the machine learning approach

Jana, Rabin K.; Ghosh, Indranil; Das, Debojyoti; Dutta, … - In: Technological forecasting & social change : an … 173 (2021), pp. 1-12

Persistent link: https://www.econbiz.de/10013202603

The organisation of tomorrow : how AI, blockchain and analytics turn your business into a data organisation

Van Rijmenam, Mark - 2020

.5 Security and privacy; 3.6 Conclusion; <B>Chapter 4: Blockchain to distribute the organisation; </B>4.1 Introduction; 4.2 What … is blockchain; 4.2.1 Cryptographic primitives; 4.2.2 The consensus mechanism; 4.2.3 Transactions; 4.2.4 Smart contracts ….4 Blockchain and privacy regulation; 4.5 Trustless transactions; 4.6 Blockchain and reputation; 4.7 How blockchain changes …

Persistent link: https://www.econbiz.de/10013180706

Financial Data Analytics : Theory and Application

Köseoğlu, Sinem Derindere (ed.) - 2022

PART 1. INTRODUCTION AND ANALYTICS MODELS -- Retraining and Reskilling Financial Participators in the Digital Age -- Basics of Financial Data Analytics -- Predictive Analytics Techniques: Theory and Applications in Finance -- Prescriptive Analytics Techniques: Theory and Applications in Finance...

Persistent link: https://www.econbiz.de/10013188202

The future and FinTech : ABCDI and beyond

Xu, Jun (ed.) - 2022

blocks, e.g., Artificial Intelligence (AI), Blockchain, Cloud, Big Data, Internet of Things (IoT), and its connections to …

Persistent link: https://www.econbiz.de/10013192246

The role of advanced technologies in cross-border trade : a customs perspective

World Trade Organization; World Customs Organization - 2022

Persistent link: https://www.econbiz.de/10013174830

Digital Transformation of the Banking System of Russia With the Introduction of Blockchain and Artificial Intelligence Technologies

Golubev, Artem; Ryabov, Oleg; Zolotarev, Alexey - 2021

(artificial intelligence technology and blockchain technology).The article provides a brief overview of theoretical and empirical …

Persistent link: https://www.econbiz.de/10013244193

The state of artificial intelligence: procurement versus sales and marketing

Spreitzenbarth, Jan; Stuckenschmidt, Heiner; Bode, Christoph - In: Adapting to the future : how digitalization shapes …, (pp. 223-243). 2021

Purpose: Sales and procurement are the main boundary spanning functions of an organization - each with a specific focus and partly different views and objectives. They are often considered as two sides of a coin that struggle with one another for relative competitive advantage. The...

Persistent link: https://www.econbiz.de/10012744717

Decision-making in multimodal supply chains using machine learning

Weinke, Manuel; Poschmann, Peter; Straube, Frank - In: Adapting to the future : how digitalization shapes …, (pp. 301-325). 2021

Purpose: To strengthen efficiency and resilience of supply chains at the same time, shippers and logistics companies needs proactive transparency about their orders. Machine Learning (ML) offers huge potential for precise predictions of complex logistics processes. This paper shows the results...

Persistent link: https://www.econbiz.de/10012744732

Innovative Technology at the Interface of Finance and Operations : Volume I

Babich, Volodymyr (ed.); Birge, John R. (ed.); … - 2022 - 1st ed. 2022.

. Blockchain -- Chapter 4. FinTech and OpTech -- Chapter 5. Supply Chain Finance -- Chapter 6. Artificial Intelligence, Machine … and business models include Big Data and Analytics, Artificial Intelligence, Machine Learning, Blockchain, IoT, 3D …

Persistent link: https://www.econbiz.de/10012814704

Innovative technology at the interface of finance and operations

Babich, Volodymyr (ed.); Birge, John R. (ed.); … - 2022

Persistent link: https://www.econbiz.de/10012792443