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An Intelligent Model to Rank Risks of Cloud Computing based on Firm's Ambidexterity Performance under Neutrosophic Environment
Faculty
Computer Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
mahmoud mohamed ismail ali
Staff Zu Site
Abstract In Staff Site
Journal:
Neutrosophic Sets and Systems Neutrosophic Sets and Systems
Volume:
Keywords :
, Intelligent Model , Rank Risks , Cloud Computing
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
Author Related Publications
mahmoud mohamed ismail ali, "A parallel branch and bound algorithm for solving large scale integer programming problems", Natural Sciences Publiching Cor, 2014
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mahmoud mohamed ismail ali, "AN EFFICIENT Hybrid Swarm Intelligence Technique for Solving Integer Programming", International Journal of Computers & Technology, 2013
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mahmoud mohamed ismail ali, "A Hybrid Swarm Intelligence Technique for Solving Integer Multi-objective Problems", international journal of computer applications, 2014
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mahmoud mohamed ismail ali, "An Improved Chaotic Flower Pollination Algorithm for Solving Large Integer Programming Problems", International Journal of Digital Content Technology and its Applications, 2014
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mahmoud mohamed ismail ali, "A Comparison between FPPSO and B&B Algorithm for Solving Integer Programming Problems", International Journal of Computer Applications Technology and Research, 2015
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Department Related Publications
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "GIS software selection: a multi-criteria decision making approach", Monash University ePress., 2007
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Soaad Mohamed Nagieb, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "Exploring multi-criteria decision strategies in GIS with linguistic quantifiers: an extension of the analytical network process using ordered weighted averaging operators", Taylor and Francis Ltd., 2013
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Mai Mohamed Abass Morsy Shomaan, "e-Business Web Portals Evaluation", Alex, Egypt, 2009
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