Blockchain (BC) applications in supply chain management (SCM) have recently received
extensive attention. It is important to synthesise the extant literature on the field to identify …

This paper describes the impact of big data and machine learning (ML) on digital
transformation of the marketing industry and the challenges it faces from a data and …

Social commerce, which combines the transactional side of e-commerce with social
interactions, has grown in popularity throughout the last years. Despite the fact that the issue …

Despite its significant benefits, remanufactured products have very limited uptake in the
customer market. Although prior research explored the main motivations of consumer …

Although the impacts of helpful online reviews on customers' purchase decisions and
product sales have been widely investigated, review helpfulness has been commonly …

In the current era of unprecedented technological advancements, the effective use of big
data analytics has become a fundamental requirement for organizations and provides …

In this paper, we present a systematic literature review of the applications of Artificial
Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased …

Remanufactured products have emerged as an important option for achieving sustainable
development, which is crucial to the success of the circular economy. Consequently, it is …

Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …

In recent years, machine learning models based on big data have been introduced into
marketing in order to transform customer data into meaningful insights and to make strategic …