The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of
automation for operational productivity and efficiency by connecting virtual and physical …

Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …

In recent years, machine learning (ML) and artificial intelligence (AI) have attracted
considerable attention in different industry sectors, including marketing. ML and AI hold …

Educational technology (EdTech) is a dynamic, evolving field and as such, in identifying and
map** research patterns in this field, a systematic approach is required. Starting from …

Industry 4.0 is an important contributor to industrial innovation and sustainability.
Nevertheless, few studies empirically analyse how it acts as a binding force of both business …

Tap** the power of text mining Page 1 76 September 2006/Vol. 49, No. 9
COMMUNICATIONS OF THE ACM TAPPIN POWER OF TEX Page 2 COMMUNICATIONS …

Purpose–Advanced analytics‐driven data analyses allow enterprises to have a complete or
“360 degrees” view of their operations and customers. The insight that they gain from such …

This paper presents a review of peer-reviewed publications (2007–2017) on digital open
educational practices (OEPs). It explores trends and patterns in this emerging area of study …

Purpose–The purpose of this survey research is twofold. First, to study and report the
process that is commonly used to create and maintain a competitive intelligence (CI) …

Approximately 3000 papers concerning multi-criteria decision analysis (MCDA) in the
environmental field were identified through a series of queries in the Web of Science …