With big data growing rapidly in importance over the past few years, academics and
practitioners have been considering the means through which they can incorporate the shifts …

This paper reports on our review of published research relating to how teams work together
to execute Big Data projects. Our findings suggest that there is no agreed upon standard for …

Data science has employed great research efforts in developing advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

This conceptual paper addresses the capabilities offered by big data analytics (BDA), critical
in turbulent environments, in the context of the Industry 4.0 revolution. BDA enhances …

Big data has managed in a very short time to dominate the interest of researchers and
managers, vastly changing the way information is generated and used in decision making …

The ecosystem of big data technologies and advanced analytics tools has evolved rapidly in
the last years offering companies new possibilities for digital transformation and data-driven …

Despite the popularity of big data and analytics (BDA) in industry, research regarding the
economic value of BDA is still at an early stage. Little attention has been paid to quantifying …

There is an increasing number of big data science projects aiming to create value for
organizations by improving decision making, streamlining costs or enhancing business …

Purpose This paper aims to investigate the influence of big data analytics (BDA) personnel
expertise capabilities in the development of supply chain (SC) agility. Based on extant …

Data Science is an emerging field with a significant research focus on improving the
techniques available to analyze data. However, there has been much less focus on how …