Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

Purpose This study aims to identify the trending topics, emerging themes and future
research directions in supply chain management (SCM) through multiple source of data. The …

ABSTRACT This paper considers Enterprise Information Systems functional architecture and
carries out review of AI applications integrated in Customer Relationship Management …

In recent years, although scholars and practitioners in the supply chain (SC) field have
become increasingly aware of the importance of social media for multipurpose applications …

Customer engagement is drastically improved through Web 2.0 technologies, especially
social media platforms like Twitter. These platforms are often used by organizations for …

Abstract Artificial Neural Networks (ANNs) are a type of machine learning algorithm inspired
by the structure and function of the human brain. In the context of supply chain management …

Social media big data offers insights that can be used to make predictions of products' future
demand and add value to the supply chain performance. The paper presents a framework …

Purpose Trust and commitment (T&C) among the supply chain partners in the context of
supply chain management (SCM) are of interest for both researchers and practitioners. This …

Sentiment analysis of online reviews is an important way of mining useful information from
the Internet. Despite several advantages, the accuracy of sentiment analysis based on a …

In this paper, we analyze the impact of various factors on meeting service level agreements
(SLAs) for information technology (IT) incident resolution. Using a large IT services incident …