Analyzing the interaction of the challenges of big data usage in a cloud computing environment

Abstract

The main purpose of this study is to identify and prioritize the challenges of big data in the cloud computing environment in the Iranian banking sector. Based on an in-depth analysis of the relevant literature the main challenges regarding the utilization of big data in cloud computing environment were determined. Using the Fuzzy Delphi Method (FDM) the important factors from the perspective of the managers and experts of the surveyed banks were screened and finalized. To address the vagueness of human judgments using fuzzy logic and a hybrid approach consisting of decision-making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP), known as FDANP the identified challenges were prioritized. The obtained results revealed that the most important challenge (influential) factor is “Availability”, whilst “Transformation” is the most permeable factor. The findings of the study contribute to the knowledge of the managers and policymakers of the Iranian banking sector.