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The majority of crypto-currencies are pseudo-anonymous in a sense that they are traceable through their hashes. Very few crypto-currencies really provide strict anonymity (i.e., un-linkability) for exchanges. This article investigates the link between strictly anonymous crypto-currencies (Moreno...
This article presents an empirical study carried out to evaluate and
analyze Internet of Things sensing networks, smart manufacturing big data, and
digitized mass production in sustainable Industry 4.0. Building our argument by
drawing on data collected from Forrester, LNS Research, Management...
This paper analyzes the outcomes of an exploratory review of the current
research on cyber-physical process monitoring systems, artificial intelligencebased
decision-making algorithms, and sustainable industrial big data in smart
networked factories. The data used for this study was obtained and...
The purpose of this study was to empirically examine artificial intelligence
data-driven Internet of Things systems, robotic wireless sensor networks,
and sustainable organizational performance in cyber-physical smart manufacturing.
Building our argument by drawing on data collected from EY,...
Despite the relevance of possible long-term consumer perceptions,
behavioral intentions, and acquisition decisions related to the COVID-19 pandemic,
only limited research has been conducted on this topic. Using and replicating data
from Accenture, KPMG, and McKinsey, we performed analyses and...
We draw on a substantial body of theoretical and empirical research
on big data-driven decision-making processes, real-time advanced analytics, and
cyber-physical production networks in Industry 4.0-based manufacturing systems,
and to explore this, we inspected, used, and replicated survey data...
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