The advent of ICTs and Big Data led to the redefinition of decision-making to interpret big data analysis as a key corporate asset. Thus, the work aims at assessing the main strategic and operational levers enabled by big data to enhance decision-making effectiveness. The study employs PRISMA methodology to conduct a systematic literature review on academic articles extracted from various databases to identify trends in extant research on big data and decision-making. Two major drivers for an effective use of big data in decision-making are identified: 1) the strategic reinterpretation of business orientation according to a culture of data as a strategic asset; 2) the identification of the most adequate skills, analytics and resources to implement big data-oriented business models at an operational level. The work can help academics and practitioners understanding the main levers to attain competitive advantage through the adoption of Big Data in all the phases of business processes. The classification of the main enabling factors of Big Data orientation to decisionmaking can foster the introduction of a strategic view to understand how big data can reshape organizational processes.
A big data-oriented approach to decision-making: a systematic literature review
Polese F.;Troisi O.;Grimaldi M.;Romeo E.
2019-01-01
Abstract
The advent of ICTs and Big Data led to the redefinition of decision-making to interpret big data analysis as a key corporate asset. Thus, the work aims at assessing the main strategic and operational levers enabled by big data to enhance decision-making effectiveness. The study employs PRISMA methodology to conduct a systematic literature review on academic articles extracted from various databases to identify trends in extant research on big data and decision-making. Two major drivers for an effective use of big data in decision-making are identified: 1) the strategic reinterpretation of business orientation according to a culture of data as a strategic asset; 2) the identification of the most adequate skills, analytics and resources to implement big data-oriented business models at an operational level. The work can help academics and practitioners understanding the main levers to attain competitive advantage through the adoption of Big Data in all the phases of business processes. The classification of the main enabling factors of Big Data orientation to decisionmaking can foster the introduction of a strategic view to understand how big data can reshape organizational processes.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
