In this survey, we study how recent advances in machine intelligence are disrupting the
world of business processes. Over the last decade, there has been steady progress towards …

This paper presents a meta-analysis of cloud computing research in information systems
with the aim of taking stock of literature and their associated research frameworks, research …

Current supply chain is a linear economy model that directly or indirectly fulfills supply
needs. But this model has some disadvantages, such as the relationships between the …

This article describes a method of organizing the communication protocol, which allows
agents of the multiagent system (MAS) to make decisions about their actions. Plan activities …

Abstract In an Industry 4.0 environment, the data generated by sensors networks requires
machine learning and data analysis techniques. Thus, organizations face both new …

Logistics services involve a wide range of transport operations between distributors and
clients. Currently, the large number of intermediaries are a challenge for this sector, as it …

The prediction of energy consumption is a task that allows energy supply companies to
adapt to certain behaviors. Among these activities that companies can perform is to know the …

The Web of Things aims to make physical world objects and their data accessible through
standard Web technologies to enable intelligent applications and sophisticated data …

This research aims to create an investment recommendation system based on the extraction
of buy/sell signals from the results of technical analysis and prediction. In this case it focuses …

While agent-based modeling (ABM) has become one of the most powerful tools in
quantitative social sciences, it remains difficult to explain their structure and performance …