A systematic literature review of papers on big data in healthcare published between 2010
and 2015 was conducted. This paper reviews the definition, process, and use of big data in …

In order for organisations to remain competitive in times of ambiguity and uncertainty, there
is a need to detect and anticipate unknown unknowns, also called 'black swans'. When …

This review paper aims at providing a systematic analysis of articles published in various
journals and related to the uses and business applications of big data. The goal is to provide …

The purpose of the paper is presentation of the role of big data methods, techniques and
tools application in the support of managerial decisions. The paper characterizes the notion …

 e last several years have revealed information technology and scientific data to be
important allies. However, the most important scientific ally is that which can assist in the …

Recently, openness has become a new approach in strategizing as ownership and control
of internal assets are no longer vital to achieving competitive advantage (Chesbrough & …

Emerging information technologies (EIT), such as big data analytics, blockchain and artificial
intelligence (AI), challenge organisation design and strategic management, and bring the …

Social media, such as Twitter, typically stores a large amount of user-generated content
regarding different aspects of society. These contents include social events, e-commerce …

Data Science for Effective Healthcare Systems has a prime focus on the importance of data
science in the healthcare domain. Various applications of data science in the health care …

Big Data, as a Decision Support Tools in numerous firms, has offered the capacity to
assemble, store, access and investigate massive measures of information (data) so that …