The research and practice of information systems have progressed by leaps and bounds
due to the emergence of big data analytics and machine learning. The paper undertakes a …

The recent increase in digitalization of industrial systems has resulted in a boost in data
availability in the industrial environment. This has favored the adoption of machine learning …

Since the Digne Convention in 1991, the literature related to Geoparks has gained a
growing interest on the academy's part, especially in achieving the preservation of …

As an emerging and applicable method, deep learning (DL) has attracted much attention in
recent years. With the development of DL and the massive of publications and researches in …

This study examined the developments in the field of Scheduling algorithms in the last 30
years (1992–2021) to help researchers gain new insight and uncover the emerging areas of …

This article presents a literature review to identify the current knowledge of supply chains 4.0
from the sustainability perspective. Reviewed papers were classified in terms of objectives …

Abstract In Digital Marketing, the capture of consumers' personal data from social networks
is essential for better targeting of commercial actions. The methods for collecting this …

Weight information of the attributes plays a pivotal role in multi-attribute decision making
(MADM) problems. Oftentimes, a decision maker may try to manipulate this weight …

Purpose The purpose of this paper is to make an overview of 474 publications and 512
patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive …

Stock market is one of the attractive domains for researchers as well as academicians. It
represents highly complex non-linear fluctuating market behaviours where traders …