Big data is significantly altering present-day managerial thinking and styles of operation. Industry,governments, and academic institutions are all focusing on means of using big data to improvemedical technology, quality of service, and a firm’s competitiveness, among other things. In theseendeavors, a thorough understanding of the technology and theory related to big data is essential.This study employs informetrics to conduct an extensive and in-depth analysis of a large volume ofmedical literature. This analysis ferrets out the most influential scholars, research institutions, andcountries while analyzing the most frequently applied theories and identifying the potential directionfor future research. This study depicts current knowledge clusters, co-authorship networks, and howtoday’s scholars take advantage of such big data using co-word analysis, co-author analysis, andindicators such as impact factor, h-index, and geographic impact factor. These research results forma solid academic foundation on which to develop medical technologies, managerial strategies, andtheory related to big data. Such development will no doubt bring about increased businessopportunities so as to sharpen our competitive edge.
|Effective start/end date||1/08/16 → 31/10/17|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):