JS Saltz, I Shamshurin - … Conference on Big Data (Big Data), 2016 - ieeexplore.ieee.org
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 …
S Zhu, T Dong, XR Luo - International Journal of Information Management, 2021 - Elsevier
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 …
S Mandal - Management Research Review, 2018 - emerald.com
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 …