Network slicing has been widely agreed as a promising technique to accommodate diverse services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and …
Digital technologies (DTs), such as the Internet of Things (IoT), big data, and data analytics, are considered essential enablers of the circular economy (CE). However, as both CE and …
G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …
This article investigates the literary corpus on digital innovation in knowledge management systems (KMS) to understand its role in business governance. The study introduces a broad …
This paper reviews big data and Internet of Things (IoT)-based applications in smart environments. The aim is to identify key areas of application, current trends, data …
Although scholars in management recognize the value of harnessing big data to understand, predict and respond to future events, there remains little or very limited overview …
HN Dai, Z Zheng, Y Zhang - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with data-driven decision-making. However, intrinsic features of IoT result in a number of …
Abstract Internet-of-Things (IoT) has made ubiquitous computing a reality by extending Internet connectivity in various applications deployed across the globe. IoT connect billions …
Data-driven models for industrial energy savings heavily rely on sensor data, experimentation data and knowledge-based data. This work reveals that too much research …