Purpose The study identifies nine important research areas and critically maps the structural
relationships among supply chain resilience (SCRES) dimensions, namely, vulnerabilities …

Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

This study analyzes high-dimensional data from Beijing International Airport and presents a
practical flight delay prediction model. Following a multifactor approach, a novel deep belief …

E‐commerce supply chains and their members face risks from cyber‐attacks. Consumers
who purchase goods online also risk having their private information stolen. Thus …

COVID-19 is affecting all walks of life. To deal with it, we need to make use of scientifically
sound tools and models. Operations research (OR), as a well-established field which …

Online product reviews (OPRs) provide abundant information for potential customers to
make optimal purchase decisions, and they apply Big Data to better understand product …

As supply chain management is becoming demand driven, logistics service providers need
to use real-time information efficiently and integrate new technologies into their business …

Abstract Originating in Germany, Industry 4.0 quickly became the new standard with
industries adopting it worldwide. However, in the hurry to become digitalized for increasing …

Today, we are undoubtedly in the era of data. Big Data Analytics (BDA) is no longer a
perspective for all level of the organization. This is of special interest in the manufacturing …

In this paper, we explore why users' experiences with emerging supply chain technologies
comprise inflated expectations followed by disappointment in the early stages of adoption …