An Intelligent Model to Rank Risks of Cloud Computing based on Firm’s Ambidexterity Performance under Neutrosophic Environment

Abstract

In recent years, cloud computing has emerged as a revolutionary technology that offers several benefits to businesses; nevertheless, like any other technology, it comes with significant risks. Firms can gain a competitive advantage by investing in cloud computing while simultaneously exploring new opportunities and leveraging their existing knowledge and capabilities. Cloud computing dangers, on the other hand, may limit these capabilities. We have shown that prospective cloud computing risks have a considerable impact on organizations’ performance in two key areas of explorative and exploitative innovation using the ambidexterity theoretical lens. To achieve these goals, the Neutrosophic VlseKriterijumska Optimizcija I Kaompromisno Resenje in Serbian (VIKOR) and multi-attributive border approximation area comparison (MABAC) techniques were used, in which the Neutrosophic approach aids experts in expressing their opinions using linguistic variables, and the VIKOR and MABAC techniques rank cloud computing risks based on ambidexterity criteria. There are eight criteria and ten alternatives are used in this study.

Keywords

• cloud computing
• risks
• neutrosophic
• uncertainty
• vikor
• mabac