VOLUME 16(4) • 2021
Big Data-driven Decision-Making Processes, Real-Time Advanced Analytics, and Cyber-Physical Production Networks in Industry 4.0-based Manufacturing Systems
ABSTRACT. 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..
Will the COVID-19 Pandemic Lead to Long-Term Consumer Perceptions, Behavioral Intentions, and Acquisition Decisions?
ABSTRACT. 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 ..
Artificial Intelligence Data-driven Internet of Things Systems, Robotic Wireless Sensor Networks, and Sustainable Organizational Performance in Cyber-Physical Smart Manufacturing
ABSTRACT. 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 E..
Cyber-Physical Process Monitoring Systems, Artificial Intelligence-based Decision-Making Algorithms, and Sustainable Industrial Big Data in Smart Networked Factories
ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on cyber-physical process monitoring systems, artificial intelligence-based decision-making algorithms, and sustainable industrial big data in smart networked factories. The data used for this study was obtai..
Internet of Things Sensing Networks, Smart Manufacturing Big Data, and Digitized Mass Production in Sustainable Industry 4.0
ABSTRACT. 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, Manage..
Are Bitcoin and Ether Affected by Strictly Anonymous Crypto-Currencies? An Exploratory Study
ABSTRACT. 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 (..