Risk Managed Cloud Adoption: An ANP Approach

To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk...
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Autor*in:	Shikha Gupta [verfasserIn] Subhendu Kumar Pani [verfasserIn] Kamalakanta Muduli [verfasserIn] Arti Vaish [verfasserIn] Anil Kumar [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	cloud sustainability risk analytical network process multi-criteria decision making cloud adoption

Übergeordnetes Werk:	In: International Journal of Mathematical, Engineering and Management Sciences - Ram Arti Publishers, 2019, 8(2023), 1, Seite 78-93
Übergeordnetes Werk:	volume:8 ; year:2023 ; number:1 ; pages:78-93

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

Katalog-ID:	DOAJ000610798

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allfieldsSound	(DE-627)DOAJ000610798 (DE-599)DOAJ23b533c313394632bd0ef85f3b1fe9bb DE-627 ger DE-627 rakwb eng QA1-939 Shikha Gupta verfasserin aut Risk Managed Cloud Adoption: An ANP Approach 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate." cloud sustainability risk analytical network process multi-criteria decision making cloud adoption Technology T Mathematics Subhendu Kumar Pani verfasserin aut Kamalakanta Muduli verfasserin aut Arti Vaish verfasserin aut Anil Kumar verfasserin aut In International Journal of Mathematical, Engineering and Management Sciences Ram Arti Publishers, 2019 8(2023), 1, Seite 78-93 (DE-627)1702066037 (DE-600)3028195-7 24557749 nnns volume:8 year:2023 number:1 pages:78-93 https://doi.org/10.33889/IJMEMS.2023.8.1.005 kostenfrei https://doaj.org/article/23b533c313394632bd0ef85f3b1fe9bb kostenfrei https://www.ijmems.in/cms/storage/app/public/uploads/volumes/05-IJMEMS-22-0217-8-1-78-93-2023.pdf kostenfrei https://doaj.org/toc/2455-7749 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2023 1 78-93
language	English
source	In International Journal of Mathematical, Engineering and Management Sciences 8(2023), 1, Seite 78-93 volume:8 year:2023 number:1 pages:78-93
sourceStr	In International Journal of Mathematical, Engineering and Management Sciences 8(2023), 1, Seite 78-93 volume:8 year:2023 number:1 pages:78-93
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topic_facet	cloud sustainability risk analytical network process multi-criteria decision making cloud adoption Technology T Mathematics
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container_title	International Journal of Mathematical, Engineering and Management Sciences
authorswithroles_txt_mv	Shikha Gupta @@aut@@ Subhendu Kumar Pani @@aut@@ Kamalakanta Muduli @@aut@@ Arti Vaish @@aut@@ Anil Kumar @@aut@@
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abstract	To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."
abstractGer	To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."
abstract_unstemmed	To meet the ever-increasing demand for offering a sustainable environment, organizations are beginning to aim for cloud adoption and the migration of their IT infrastructure and operations to the cloud, utilizing various cloud-based technologies. However, cloud adoption has been impeded by the risk of being exposed as a result of a variety of concerns, including performance, security, and privacy concerns, as well as vulnerabilities and data portability. As a result, this study was carried out to investigate and analyse a variety of risks that come with cloud computing adoption by estimating the impact and frequency of these hazards. In this study, the Analytical Network Process (ANP) is used to prioritise these hazards. Prioritization of these risks based on their influence on cloud adoption may be useful for organizations in building a corrective action plan. According to their negative influence on cloud adoption, "business continuity and recovery planning" and "poor availability of services" are shown to be the most prominent hazards. This research also found that the two most common dangers encountered by cloud adopters in India are "poor availability of services" and "slow response rate."
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