Publisher's Synopsis
Big data has emerged as a new scientific paradigm that has made a tidal wave across various sectors in the knowledge economy ranging from national security to scientific discovery, from economic and business activities to public administration (Chen et al. 2012; McAfee and Brynjolfsson 2012; Chen and Zhang, 2014;). Big data has attracted enormous attention in recent years due to its huge operational and strategical potential. However, it is not straightforward for potential adopters to understand the concept and capture the value of big data. This may be caused by many different definitions of big data highlighting various aspects of the concept. Among these definitions, the notion of 'V' is often used by scholars and practitioners to help define big data (McAfee and Brynjolfsson 2012; Lycett 2013; Erevelles et al. 2015; Fosso Wamba et al. 2015). The big data definitions have evolved from the classic three 'V's definition: volume, variety and velocity, to a more recent two additional Vs: value and veracity.
