A comprehensive and systematic review of the banking systems based on pay-as-you-go payment fashion and cloud computing in the pandemic era

Zhao, Shajunyi; Miao, Jianchun; Zhao, Jing; Naghshbandi, Nader

doi:10.1007/s10257-022-00617-9

Cited by 14 publications

(7 citation statements)

References 42 publications

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“…This architecture can also improve reliability and accessibility in Fog and Edge computing environments (Rahman et al, 2023). Further, Zhao et al (2023) stated that the coronavirus disease 2019 (COVID-19) pandemic has led to a surge in CC usage, especially pay-as-you-go models especially in healthcare and education sector. It is proposed that CC has played a crucial role in mitigating the pandemic's effects (Sharma et al, 2023b).…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is proposed that CC has played a crucial role in mitigating the pandemic's effects (Sharma et al ., 2023b). However, security risks remain a significant threat that needs attention (Zhao et al ., 2023). Authors recommended developing a robust digital ecosystem to track outbreaks and prepare for future crises by using new technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

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Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Sharma,

Gupta,

Acharya

2023

JEIM

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PurposeThis paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.Design/methodology/approachThe case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.FindingsThe results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.Practical implicationsLack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.Originality/valueThis is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Sharma,

Gupta,

Acharya

2023

JEIM

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“…Using a cloud-based strategy, transport authorities can reduce infrastructure expenditures because they no longer need to invest substantially in on-premises hardware and maintenance [33]. In addition, cloud services offer pay-as-you-go pricing models, allowing businesses to pay only for the resources they consume [38]. Cloud solutions facilitate data sharing and collaboration between parties, such as government agencies, transportation providers, and third-party developers.…”

Section: Cloud-based Solutions For Intelligent Transportation Applica...mentioning

confidence: 99%

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Singha,

Singha

2023

SCPE

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The interaction between transportation networks and intelligent transportation systems has been revolutionized by cloud computing. However, the reliance on cloud-based solutions raises security and privacy concerns. This article examines the challenges of safeguarding data and privacy in intelligent transportation applications and emphasizes the potential of cloud-based solutions to resolve these issues. Organizations can protect sensitive data and user privacy by employing encryption, access controls, threat detection mechanisms, and privacy protection measures. Adopting these cloud-based solutions will encourage the extensive adoption of intelligent transportation applications while infusing users and stakeholders with confidence.

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“…Additionally, the scalability of cloud services provides accounting firms with the ability to adapt and expand their computing resources based on fluctuating workloads and client demands (Ahmadi, 2023). Furthermore, the accessibility and mobility afforded by cloud computing facilitate remote work capabilities, allowing accountants to collaborate seamlessly and access critical financial data from any location (Zhao et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

Akoh Atadoga,

Uchenna Joseph Umoga,

Oluwaseun Augustine Lottu

et al. 2024

Global J. Eng. Technol. Adv.

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Cloud computing has emerged as a transformative force, revolutionizing the landscape for accounting firms. This comprehensive review delves into the profound impact of cloud computing on accounting firms, focusing on key dimensions such as efficiency, scalability, and data security. Examining the shift from traditional infrastructure to cloud-based solutions, the review navigates through the tangible benefits and potential challenges that cloud adoption brings to the accounting domain. Efficiency stands out as a cornerstone of cloud computing's influence on accounting firms. The agility and accessibility offered by cloud-based platforms streamline routine tasks, facilitating seamless collaboration among accounting professionals. The scalability afforded by cloud services empowers firms to dynamically adjust their computing resources, adapting to fluctuations in workload and business demands. This ensures that accounting firms can efficiently handle diverse workloads without being constrained by rigid infrastructure limitations. Scalability further intersects with efficiency, enabling accounting firms to optimize resource allocation and enhance overall productivity. The scalability of cloud solutions aligns with the dynamic nature of the accounting profession, allowing firms to scale up during peak seasons and scale down during lulls, ultimately fostering cost-effectiveness and operational agility. However, the review also critically evaluates the nuances of data security in the cloud computing paradigm. Addressing concerns related to data privacy, confidentiality, and compliance, the review navigates the intricate landscape of securing financial data in a cloud-based environment. It probes into the robustness of encryption protocols, authentication mechanisms, and compliance frameworks, ensuring a comprehensive understanding of the security implications inherent in cloud adoption by accounting firms. In conclusion, this review encapsulates the multifaceted impact of cloud computing on accounting firms. Efficiency gains and scalability advantages are juxtaposed against the imperative of fortifying data security. This examination provides a roadmap for accounting professionals, offering insights into harnessing the full potential of cloud technologies while ensuring the integrity and security of sensitive financial data. As accounting firms increasingly pivot towards cloud adoption, this review serves as a strategic guide, equipping practitioners with the knowledge to navigate the evolving landscape of cloud computing in the realm of accounting.

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A comprehensive and systematic review of the banking systems based on pay-as-you-go payment fashion and cloud computing in the pandemic era

Cited by 14 publications

References 42 publications

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Protecting Data and Privacy: Cloud-based Solutions for Intelligent Transportation Applications

Evaluating the impact of cloud computing on accounting firms: A review of efficiency, scalability, and data security

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