scholarly journals Financial Data Processing in Big Data Platforms

2021 ◽  
Vol 27 (4) ◽  
pp. 534-546
Keyword(s):  
Big Data ◽  
Human Activities ◽  
New Technologies ◽  
Daily Basis ◽  
Financial Data ◽  
Non Profit ◽  
Small Organizations ◽  
Source Component ◽  
Forecast Models ◽  
Cloud Technologies

Today’s digital society generates more and more data on a daily basis in all areas of human activities, especially in the financial sector. Such data can be collected, stored, processed, and analyzed, providing serious analytical opportunities for the end users. A lot of such systems are implemented and work using cloud technologies, which have a number of advantages, but they use a pay-per-use model and thus are not very suitable for medium and small organizations, non-profit and academic institutions. In this paper, a system, capable of fetching, storing, and processing big data is proposed and tested with financial data. It uses an open-source component-based approach and can be custom-built and implemented in national universities or centers of competence/excellence. That can present unique opportunities to researchers and developers to use and work with Big data on economic and financial problems, to investigate dependencies, use large simulation and forecast models and analyze results, using the new technologies and Big data provided by them.

A review of credit scoring research in the age of Big Data

2018 ◽  
Vol 26 (3) ◽  
pp. 382-405 ◽  
Author(s):  
Ceylan Onay ◽  
Elif Öztürk
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Credit Scoring ◽  
Academic Research ◽  
Data Sources ◽  
Content Type ◽  
Non Profit ◽  
Analysis Methodology ◽  
Challenges And Opportunities ◽  
Scoring Algorithms

Purpose This paper aims to survey the credit scoring literature in the past 41 years (1976-2017) and presents a research agenda that addresses the challenges and opportunities Big Data bring to credit scoring. Design/methodology/approach Content analysis methodology is used to analyze 258 peer-reviewed academic papers from 147 journals from two comprehensive academic research databases to identify their research themes and detect trends and changes in the credit scoring literature according to content characteristics. Findings The authors find that credit scoring is going through a quantitative transformation, where data-centric underwriting approaches, usage of non-traditional data sources in credit scoring and their regulatory aspects are the up-coming avenues for further research. Practical implications The paper’s findings highlight the perils and benefits of using Big Data in credit scoring algorithms for corporates, governments and non-profit actors who develop and use new technologies in credit scoring. Originality/value This paper presents greater insight on how Big Data challenges traditional credit scoring models and addresses the need to develop new credit models that identify new and secure data sources and convert them to useful insights that are in compliance with regulations.

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

scholarly journals From Bulletin Boards to Big Data

2021 ◽  
Vol 50 (1) ◽  
pp. 39-62
Author(s):  
Christian Göbel ◽  
Jie Li
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Central Government ◽  
Developmental Trajectory ◽  
Credit System ◽  
Feedback Systems ◽  
Social Credit ◽  
Bulletin Boards ◽  
Local Decision ◽  
Set Up

Why do Chinese governments at various levels set up public complaint websites where citizen petitions and government responses can be reviewed by the general public? We argue that it is the result of two factors: strong signals sent by the central government to improve governance, and the availability of new technologies to promote policy innovation. To impress their superiors, local officials adopted newly available commercial technology to innovate existing citizen feedback systems, which presented a developmental trajectory from “openness,” “integration,” to “big data-driven prediction.” Drawing on policy documents and interviews with local politicians and administrators, we provide a chronological perspective of how technical development, central government’s signals and local decision-making have interacted in the past two decades to bring forth today’s public complaint websites. The contingent and non-teleological nature of this development can also be applied to other policies such as the social credit system.

scholarly journals Application of CRISPR/Cas9 technology in wild apple (Malus sieverii) for paired sites gene editing

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yan Zhang ◽  
Ping Zhou ◽  
Tohir A. Bozorov ◽  
Daoyuan Zhang
Keyword(s):  
Abiotic Stress ◽  
Human Activities ◽  
Genetic Improvement ◽  
Gene Editing ◽  
New Technologies ◽  
Tianshan Mountains ◽  
Biotic And Abiotic Stress ◽  
Guide Rna ◽  
Cas9 Protein ◽  
Albino Phenotype

Abstract Background Xinjiang wild apple is an important tree of the Tianshan Mountains, and in recent years, it has undergone destruction by many biotic and abiotic stress and human activities. It is necessary to use new technologies to research its genomic function and molecular improvement. The clustered regulatory interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) system has been successfully applied to genetic improvement in many crops, but its editing capability varies depending on the different combinations of the synthetic guide RNA (sgRNA) and Cas9 protein expression devices. Results In this study, we used 2 systems of vectors with paired sgRNAs targeting to MsPDS. As expected, we successfully induced the albino phenotype of calli and buds in both systems. Conclusions We conclude that CRISPR/Cas9 is a powerful system for editing the wild apple genome and expands the range of plants available for gene editing.

The Future of the Planetary Trust in a Kaleidoscopic World

2021 ◽  
pp. 1-8
Author(s):  
Edith Brown Weiss
Keyword(s):  
Artificial Intelligence ◽  
Natural Resource ◽  
Human Activities ◽  
New Technologies ◽  
Future Generations ◽  
Nuclear War ◽  
Human Environment ◽  
The Past ◽  
Resource Degradation ◽  
Shared Goal

Today, it is evident that we are part of a planetary trust. Conserving our planet represents a public good, global as well as local. The threats to future generations resulting from human activities make applying the normative framework of a planetary trust even more urgent than in the past decades. Initially, the planetary trust focused primarily on threats to the natural system of our human environment such as pollution and natural resource degradation, and on threats to cultural heritage. Now, we face a higher threat of nuclear war, cyber wars, and threats from gene drivers that can cause inheritable changes to genes, potential threats from other new technologies such as artificial intelligence, and possible pandemics. In this context, it is proposed that in the kaleidoscopic world, we must engage all the actors to cooperate with the shared goal of caring for and maintaining planet Earth in trust for present and future generations.

Evolution of e-participation in Greek local government

2021 ◽  
pp. 1-15
Author(s):  
Constantina Costopoulou ◽  
Maria Ntaliani ◽  
Filotheos Ntalianis
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Local Government ◽  
Local Governments ◽  
Local Community ◽  
New Technologies ◽  
Mobile Apps ◽  
Digital Technologies ◽  
Decision Making Processes ◽  
The Impact

Local governments are increasingly developing electronic participation initiatives, expecting citizen involvement in local community affairs. Our objective was to assess e-participation and the extent of its change in local government in Greece. Using content analysis for 325 Greek municipal websites, we assessed e-participation status in 2017 and 2018 and examined the impact of change between these years. The assessment regards two consecutive years since the adoption of digital technologies by municipalities has been rapid. The main findings show that Greek local governments have made significant small- to medium-scale changes, in order to engage citizens and local societies electronically. We conclude that the integration of advanced digital technologies in municipalities remains underdeveloped. We propose that Greek municipalities need to consider incorporating new technologies, such as mobile apps, social media and big data, as well as e-decision making processes, in order to eliminate those obstacles that hinder citizen engagement in local government. Moreover, the COVID-19 outbreak has highlighted the need for enhancing e-participation and policymakers’ coordination through advanced digital technologies.

Big Data in Cultural Tourism – Building Sustainability and Enhancing Competitiveness

2021 ◽  
Keyword(s):  
Big Data ◽  
Case Studies ◽  
Value Chain ◽  
New Technologies ◽  
Cultural Tourism ◽  
End Users ◽  
Ethical Implications ◽  
Tourism Sector ◽  
Cultural Experiences ◽  
Selection Of

The use of big data is becoming increasingly important across the tourism sector and the value chain. With this publication, UNWTO intends to provide a baseline research on using big data by tourism and culture stakeholders, in order to improve the competitiveness of cultural tourism and reinforce its sustainability. The study sets the basis to connect tourism, culture and new technologies for mutual benefits, while calling for a reflection on the ethical implications for policymakers, businesses and end-users. The selection of case studies illustrates the most frequent case-scenarios of the use of big data in cultural tourism within destinations, compiled during the research. As the new technologies are facing ever-evolving scenarios, their use will be harnessed by the tourism sector in its endeavour to innovate and provide new cultural experiences.

Analysis of Radar Technology Identification Model for Potential Geologic Hazard based on Convolutional Neural Network and Big Data

2021 ◽  
Author(s):  
Feng He ◽  
Hongjiang Liu ◽  
Chunxue Liu ◽  
Guangjing Bao
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Convolutional Neural Network ◽  
New Technologies ◽  
Hazard Identification ◽  
Identification Accuracy ◽  
Radar Image ◽  
Geologic Hazard ◽  
Continuous Increase ◽  
Identification Model

Abstract To ensure the proper adoption of new technologies in identifying the potential geologic hazard on tourist routes, convolutional neural network (CNN) technology is applied in the radar image geologic hazard information extraction. A scientific and practical geologic hazard radar identification model is built, which is based on CNN’s image identification and big data algorithm calculation, and it can effectively improve the geologic hazard identification accuracy. By designing experiments, the geologic hazard radar image data are verified, and the practicality of radar image intelligent Identification under CNN and big data technology is also verified. The results show that the images of different resolution sizes all play a significant role in identification of geologic hazard performed by CNN. However, there are differences in the performance of different CNN models. With the continuous increase of training samples, the identification accuracy of various network models is also improved. By means of radar image test, the identification capability of CNN model is the best, the highest precision is 93.61%, and the geologic hazard recall rate is 98.27%. Apriori algorithm is introduced into data processing, and the running speed and efficiency of identification models are improved, with favorable identification effect in variable data sets. This research can provide theoretical ideas and practical value for the development of potential geologic hazard identification on tourist routes.

Digital Transformation of the Service Sector

2021 ◽  
pp. 41-54
Author(s):  
D. Shevchenko ◽  
V. Mihaylov
Keyword(s):  
Business Model ◽  
Service Sector ◽  
New Technologies ◽  
Rapid Development ◽  
Digital Transformation ◽  
Services Sector ◽  
Remote Maintenance ◽  
New Business ◽  
The Difference ◽  
Cloud Technologies

The article is devoted to the problems of digital transformation of companies in the service sector. The article describes the concepts of "digitization", "digitalization", "digital transformation", "automation". The analysis of the main sectors of the public services sector, the processes of transformation into a new business model of their development is carried out. Specific examples show the role of digital technologies implemented by individual companies, the leaders of their industry: "Internet of Things" (IoT); virtual diagnostics of the service; mobile applications and portals; artificial intelligence and machine learning (AI / ML); remote maintenance; UX design; virtual reality; cloud technologies; online services and others. The authors proceed from understanding the difference between automation and digitalization, the strategic goal of which is to create a new digital business model that creates new value. The result of digital transformation is the reconfiguration of processes that change the business logic of the company and the process of creating value. The article concludes that the rapid development of new technologies leads to the fact that companies face not only a dilemma when choosing the most suitable technologies for investment, but also the problem of staffing and finding an adequate organizational structure to create and maintain a new business model of the company.

BIG DATA PROCESSING IN THE DIGITALIZATION OF ENTERPRISE ACTIVITIES

2021 ◽  
Vol 75 (3) ◽  
pp. 76-82
Author(s):  
G.T. Balakayeva ◽  
◽  
D.K. Darkenbayev ◽  
M. Turdaliyev ◽  
◽  
...  
Keyword(s):  
Social Networks ◽  
Growth Rate ◽  
Big Data ◽  
Data Processing ◽  
New Technologies ◽  
Large Data ◽  
Modern Society ◽  
Information Flows ◽  
Professional Activities ◽  
The Past

The growth rate of these enterprises has increased significantly in the last decade. Research has shown that over the past two decades, the amount of data has increased approximately tenfold every two years - this exceeded Moore's Law, which doubles the power of processors. About thirty thousand gigabytes of data are accumulated every second, and their processing requires an increase in the efficiency of data processing. Uploading videos, photos and letters from users on social networks leads to the accumulation of a large amount of data, including unstructured ones. This leads to the need for enterprises to work with big data of different formats, which must be prepared in a certain way for further work in order to obtain the results of modeling and calculations. In connection with the above, the research carried out in the article on processing and storing large data of an enterprise, developing a model and algorithms, as well as using new technologies is relevant. Undoubtedly, every year the information flows of enterprises will increase and in this regard, it is important to solve the issues of storing and processing large amounts of data. The relevance of the article is due to the growing digitalization, the increasing transition to professional activities online in many areas of modern society. The article provides a detailed analysis and research of these new technologies.

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