A Risk Management Approach for a Sustainable Cloud Migration

Rahman, Alifah Aida Lope Abdul; Islam, Shareeful; Kalloniatis, Christos; Gritzalis, Stefanos

doi:10.3390/jrfm10040020

Cited by 12 publications

(5 citation statements)

References 31 publications

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“…Financial industry refers to the special industries that operate financial products, including banking industry, insurance industry, trust industry, securities industry and leasing industry. With the empowerment of big data, cloud computing, Internet of things, artificial intelligence and other technologies, the development of financial technology has brought unprecedented historical opportunities Relevant surveys show that 20% of banks can transfer the application of important customers to banking products within ten minutes [4,5]. The advantages of many banks come from efficient and advanced customer databases.…”

Section: System Demand Analysismentioning

confidence: 99%

Financial Analysis System Design for Institutional Users Based on Deep Learning

Meng,

Fan

2024

Advances in Transdisciplinary Engineering

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To strengthen the ability to obtain effective financial data in complex network environment, a distributed information data acquisition and analysis strategy based on deep learning is proposed. Based on service-oriented architecture, the overall requirements and data analysis of the platform are provided an integrated infrastructure platform under cloud platform is established. The analysis module of the core of system uses LSTM networks to model financial data to process complex financial market data inputs. Then, the detailed implementation processes of data acquisition, pre-partition and storage module are also realized. Finally, a large number of institutional user samples are used as case studies to test the function and performance of the system. The results show that such model can provide effective prediction results and it has higher accuracy in time series data prediction. Besides, the system resource scheduling has high efficiency and stability on real financial big datasets.

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Section: System Demand Analysismentioning

confidence: 99%

Financial Analysis System Design for Institutional Users Based on Deep Learning

Meng,

Fan

2024

Advances in Transdisciplinary Engineering

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“…They are mainly young people under 25 years of age. According to some authors [82][83][84], young people tend to pay more attention to a product's aesthetic aspects (attributes based on desire/hedonic) than functional and sustainable ones. Another critical aspect that young people consider when purchasing a product is the economic one, followed by the social one and the environmental [85].…”

Section: H1mentioning

confidence: 99%

Do Sustainable Consumers Have Sustainable Behaviors? An Empirical Study to Understand the Purchase of Food Products

et al. 2023

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Sustainability and the circular economy (CE) are issues of increasing interest to governments, investors, industry, and civil society; for this reason, the implementation of a business model for circularity and/or sustainability is becoming crucial for achieving and maintaining a competitive advantage for various organizations. In this context, consumers play a crucial role in reducing the environmental impact of business processes through their choices and behaviors. “Sustainable consumption” is a growing global concern that will link human behavior with the planet’s future. Negligent behavior by individuals in their daily lives has a significant impact on the environment, with devastating consequences for the survival of humankind itself. However, even though sustainability issues and the circular economy have now widely involved consumers, making them seem aware of how the behavioral ran has a direct impact on the environment, the percentage of people who accompany this awareness with truly sustainable behavior and who are therefore willing to embrace the goal of “saving the planet” is small. Therefore, this study hypothesizes that from a sample of consumers with a particular interest in environmental and sustainability issues, there are subsamples of consumers who show a particular interest in adopting sustainable purchasing behavior regarding food products. Our analysis adds essential results to the existing literature by using a methodology that can improve the homogeneity of a sustainable consumer dataset to assess consumer behavior. Through cluster analysis, one of the most widely used techniques, it is possible to extract a sub-sample of consumers with conceptions on environmental and sustainability issues that may influence their awareness of buying sustainable food products. The results show the presence of four different consumer clusters, Some consumers are sustainability and environmentally aware, other consumers are indifferent to environmental issues, and finally, some consumers show minimal attention to sustainability but little involvement in activities. The study shows that attention to environmental sustainability has clear policy and managerial and scientific implications that can increase consumer awareness.

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“…Another critical issue in the supplier selection process relies on the satisfaction of customer needs and expectations [45,46]. To deal with this, the CTQ technique can be used to gain information about customer needs and preferences.…”

Section: Research Approachmentioning

confidence: 99%

A Resilience Engineering Approach for the Risk Assessment of IT Services

Fargnoli,

Murgianu

2023

Applied Sciences

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Nowadays, services related to IT technologies have assumed paramount importance in most sectors, creating complex systems involving different stakeholders. Such systems are subject to unpredictable risks that differ from what is usually expected and cannot be properly managed using traditional risk assessment approaches. Consequently, ensuring their reliability represents a critical task for companies, which need to adopt resilience engineering tools to reduce the occurrence of failures and malfunctions. With this goal in mind, the current study proposes a risk assessment procedure for cloud migration processes that integrates the application of the Functional Resonance Analysis Method (FRAM) with tools aimed at defining specific performance requirements for the suppliers of this service. In particular, the Critical-To-Quality (CTQ) method was used to define the quality drivers of the IT platform customers, while technical standards were applied to define requirements for a security management system, including aspects relevant to the supply chain. Such an approach was verified by means of its application to a real-life case study, which concerns the analysis of the risks inherent to the supply chain related to cloud migration. The results achieved can contribute to augmenting knowledge in the field of IT systems’ risk assessment, providing a base for further research.

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A Risk Management Approach for a Sustainable Cloud Migration

Cited by 12 publications

References 31 publications

Financial Analysis System Design for Institutional Users Based on Deep Learning

Financial Analysis System Design for Institutional Users Based on Deep Learning

Do Sustainable Consumers Have Sustainable Behaviors? An Empirical Study to Understand the Purchase of Food Products

A Resilience Engineering Approach for the Risk Assessment of IT Services

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