scholarly journals Framing Policy Visions of Big Data in Emerging States

2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Laura Mahrenbach ◽  
Katja Mayer
Keyword(s):  
Economic Development ◽  
Big Data ◽  
Data Driven ◽  
Technological Advances ◽  
Nous Montrons ◽  
Governance Analysis ◽  
Societal Changes ◽  
Développement Économique ◽  
The Government ◽  
India And China

Background  Emerging states, such as Brazil, India, and China (the BICs), have big plans for big data and digitalization. Research has identified distinct policy visions regarding how technological advances can facilitate economic development and improve governance. Analysis  This article examines how BIC governments frame data-driven ambitions across the diverse issue areas in which governments plan to use big data, as well as how they frame the role(s) of the government and citizens in the era of big data. Conclusion and implications  We find clear differences in discussions of big data across the BICs and across issue areas. Moreover, we show the societal changes that governments seek to effect using big data vary greatly in scope, with Brazil and India seeking more fundamental changes than China.Contexte  Les États émergents, tels que le Brésil, l’Inde et la Chine (les BIC), ont de grands projets pour Big Data et la numérisation. La recherche a identifié des visions politiques distinctes concernant la façon dont les progrès technologiques peuvent faciliter le développement économique et améliorer la gouvernance.Analyse  Cet article examine la manière dont les gouvernements BIC définissent les ambitions basées sur les données dans les divers domaines problématiques dans lesquels les gouvernements envisagent d’utiliser big data, ainsi que la façon dont ils définissent le ou les rôles du gouvernement et des citoyens à l’ère des big data.Conclusion et implications  Nous constatons des différences claires dans les discussions sur big data entre les BIC et entre les domaines problématiques. De plus, nous montrons que les changements sociétaux que les gouvernements cherchent à effectuer en utilisant big data varient considérablement, le Brésil et l’Inde recherchant des changements plus fondamentaux que la Chine.

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

scholarly journals Big Data-Driven Macroeconomic Forecasting Model and Psychological Decision Behavior Analysis for Industry 4.0

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jie Liu
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Behavior Analysis ◽  
Industry 4.0 ◽  
Value Added ◽  
Complete Information ◽  
Data Driven ◽  
Macroeconomic Forecasting ◽  
The Government ◽  
Decision Making Behavior

With the advent of Industry 4.0, economic development has become a rapid information age. The content of macroeconomic forecast is very extensive, and the existence of big data technology can provide the government with multilevel, diversified, and complete information and comprehensively process, integrate, summarize, and classify these pieces of information. This paper forecasts the CPI value in the next 12 months according to the CPI in China in the recent 20 years. Compared with the traditional forecasting methods, the forecasting results have higher accuracy and timeliness. At the same time, the trend of growth rate of industrial value-added is analyzed, and the experiments on MAE and RMSE show that the method proposed in this paper has obvious advantages. It also analyzes the disadvantages of traditional psychological decision-making behavior analysis, introduces the development status and advantages of big data-driven psychological decision-making behavior analysis, and opens up new research ideas for psychological decision-making analysis.

scholarly journals Harnessing Big Data for Sustainable Development in Nigeria

2019 ◽  
Vol 12 (3) ◽  
pp. 146
Author(s):  
Ojijo Odhiambo ◽  
Fatima Umar
Keyword(s):  
Sustainable Development ◽  
Big Data ◽  
Social Inclusion ◽  
Information Communication ◽  
The Sustainable Development ◽  
Development Agenda ◽  
Technological Advances ◽  
Development Goals ◽  
The Government ◽  
The Right

Nigeria faces a myriad of development challenges in her efforts to grow the economy, create jobs and achieve the Sustainable Development Goals by 2030. Since independence, the Government has developed many Plans and Strategies, including the current Economic Recovery and Growth Plan, in an attempt to address these challenges. The ERGP, which is broadly aligned to the SDGs, is aimed at improving macroeconomic stability; fostering economic growth and diversification; improving competitiveness; fostering social inclusion; and enhancing governance and security. Recent information, communication and technological advances have led to data -from both conventional and unconventional sources- to be readily available in high volumes and velocity and in a variety of forms, or simply, to a Data Revolution. This paper examines the role of Big Data and Data Revolution in promoting sustainable development in Nigeria, as well the emerging opportunities for Statisticians in this regard. The paper posits that the attainment of the SDGs will be greatly hampered if Statisticians do not ask the right questions; access relevant data information and, crucially, perform deeper analytics around data and information. Statisticians have an important role to play in promoting Nigeria’s sustainable development agenda, but only if they become more entrepreneurial; and adequately master and apply the requisite technical and non-technical skills.

Datafied and Divided: Techno–Dimensions of Inequality in American Cities

2017 ◽  
Vol 16 (1) ◽  
pp. 20-24 ◽  
Author(s):  
Monica M. Brannon
Keyword(s):  
Economic Development ◽  
Big Data ◽  
Data Collection ◽  
Smart City ◽  
Urban Landscape ◽  
Classification Systems ◽  
Data Driven ◽  
Predictive Policing ◽  
American Cities

This essay interrogates the effects that “big data” have on constructing space and subjects that reproduce inequality in the urban landscape. By comparing two different data–driven projects within the same city, data collection and collation is seen to contribute to existing divides along racial and class lines. As urban sociologists seek to capitalize on the vast quantity of data generated by automated devices and networked computation, they must first interrogate and deconstruct the hidden protocols and ideologies that define algorithmic classification systems. Predictive policing and “smart city” economic development operate to construct subjects tied to spatial markers encoded in databases. Therefore, technological structures must be theorized alongside racial and class structures as entrenching historical inequities.

scholarly journals Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs

2019 ◽  
Vol 12 (1) ◽  
pp. 202
Author(s):  
Eun Sun Kim ◽  
Yunjeong Choi ◽  
Jeongeun Byun
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Data Driven ◽  
Medium Size ◽  
The Government ◽  
Using Data ◽  
High Level ◽  
D Investment

To expand the field of governmental applications of Big Data analytics, this study presents a case of data-driven decision-making using information on research and development (R&D) projects in Korea. The Korean government has continuously expanded the proportion of its R&D investment in small and medium-size enterprises to improve the commercialization performance of national R&D projects. However, the government has struggled with the so-called “Korea R&D Paradox”, which refers to how performance has lagged despite the high level of investment in R&D. Using data from 48,309 national R&D projects carried out by enterprises from 2013 to 2017, we perform a cluster analysis and decision tree analysis to derive the determinants of their commercialization performance. This study provides government entities with insights into how they might adjust their approach to Big Data analytics to improve the efficiency of R&D investment in small- and medium-sized enterprises.

scholarly journals Using mobile big data to support emergency preparedness and address economically vulnerable communities during the COVID-19 pandemic in Nigeria

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Joanne Gilbert ◽  
Olubayo Adekanmbi ◽  
Charlie Harrison
Keyword(s):  
Big Data ◽  
Resource Planning ◽  
Data Sources ◽  
Data Driven ◽  
Second Phase ◽  
Case Scenario ◽  
Worst Case ◽  
Mobile Big Data ◽  
The Government ◽  
The Impact

Abstract With the declaration of the coronavirus disease 2019 (COVID-19) pandemic in Nigeria in 2020, the Nigeria Governors’ Forum (NGF) instigated a collaboration with MTN Nigeria to develop data-driven insights, using mobile big data (MBD) and other data sources, to shape the planning and response to the pandemic. First, a model was developed to predict the worst-case scenario for infections in each state. This was used to support state-level health committees to make local resource planning decisions. Next, as containment interventions resulted in subsistence/daily paid workers losing their income and ability to buy essential food supplies, NGF and MTN agreed a second phase of activity, to develop insights to understand the population clusters at greatest socioeconomic risk from the impact of the pandemic. This insight was used to promote available financial relief to the economically vulnerable population clusters in Lagos state via the HelpNow crowdfunding initiative. This article discusses how anonymized and aggregated mobile network data (MBD), combined with other data sources, were used to create valuable insights and inform the government, and private business, response to the pandemic in Nigeria. Finally, we discuss lessons learnt. Firstly, how a collaboration with, and support from, the regulator enabled MTN to deliver critical insights at a national scale. Secondly, how the Nigeria Data Protection Regulation and the GSMA COVID-19 Privacy Guidelines provided an initial framework to open the discussion and define the approach. Thirdly, why stakeholder management is critical to the understanding, and application, of insights. Fourthly, how existing relationships ease new project collaborations. Finally, how MTN is developing future preparedness by creating a team that is focused on developing data-driven insights for social good.

scholarly journals The Impact of Big Data on Banking Operations

2021 ◽  
Author(s):  
Morshadul Hasan ◽  
Thi Le ◽  
Ariful Hoque
Keyword(s):  
Big Data ◽  
Banking Industry ◽  
Mobile Internet ◽  
Data Driven ◽  
Significant Implication ◽  
Technological Advances ◽  
Qualitative Research Methodology ◽  
Research Concept ◽  
The Impact ◽  
Banking Operations

Abstract In the current technological advances with the rise of the information revolution through mobile internet, cloud computing, big data, and the Internet of Things (IoT), the banking industry is receiving new opportunities and facing critical challenges. It motivates us to develop the proposed research concept to examine how data innovation influences banking operations. We employ the systematic qualitative research methodology based on the existing literature from Web of Science and SCOPUS database to accomplish our research objectives. The findings of this study include the positive implications of big data, challenges, and banking security as essential data-driven banking issues. This research will have a significant implication in the banking industry that big data operation is critical for data-driven banking decisions.

The Nodality Disconnect of Data-Driven Government

2021 ◽  
pp. 009539972199868
Author(s):  
Walter Castelnovo ◽  
Maddalena Sorrentino
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Analytics ◽  
Data Driven ◽  
Future Role ◽  
Data Intensive ◽  
Big Data Applications ◽  
The Government ◽  
Technical Features ◽  
Open Question

We must ask critical questions regarding what actors are gaining influence, and regarding why the centrality of government is to be preserved in a data-intensive society. The article recognizes that the transformative capacity of big data—and its artificial intelligence (AI)-based companion data analytics—does not deterministically result from the technologies concerned. Instead, the direction of change depends on both the technical features and the intertwining of big data applications and governmental machinery. In short, the reconfiguration of the government nodality remains an open question. Overall, government is urged to think strategically about its future role within digital ecosystems.

Living on a low income as a systemic impediment to socio-economic development of Ukraine

2020 ◽  
pp. 99-109
Author(s):  
NATALIIA TOLSTYKH
Keyword(s):  
Economic Development ◽  
Social Welfare ◽  
Low Income ◽  
Labour Force ◽  
Well Being ◽  
Social Consequences ◽  
Human Potential ◽  
Subsistence Level ◽  
Socio Economic Development ◽  
The Government

The article sheds light on various approaches that seek to determine how widespread poverty and life on a low income are in Ukraine nowadays. As a social phenomenon, poverty has traditionally been associated with destitution and living below the subsistence level set by the government. However, the author holds the view that life on a low income not only means living near or below the poverty line. There is another part of Ukraine’s population that should also be considered needy — those whose income is less than twice as the subsistence level, and most of them are also subject to socio-economic deprivation. Drawing upon the findings of a social survey conducted by the Institute of Sociology of the NAS of Ukraine in 2019, the paper analyses the standard of living among different income groups. Particular attention is given to consumption patterns and social well-being of respondents in the lower income brackets. From the data, it can be inferred that living conditions of many Ukrainians are inadequate to sustain and develop human potential; furthermore, the low-income households have literally to struggle every day to make ends meet. The author brings into focus the main macroeconomic factors contributing to this situation and its adverse effect on the nation’s social potential. Some of the most common social consequences of living on a low income have been identified, such as limited consumption, a person’s dissatisfaction with life and his/her position in society. The above-mentioned survey also provides the estimates of how much the current subsistence level (with regard to Ukraine) should be. Having been made by different socio-demographic and occupational groups of Ukraine’s population, these estimates are a useful source of information — given that subsistence level is considered the basic social standard. According to the survey, all these figures are at variance with the official subsistence level, which is noticeably lower, and this indicates that the current subsistence level needs an upward revision. Today, the overall socio-economic situation in Ukraine is unfavourable for neoliberal economic reforms initiated by the government. Since these policies are primarily designed to reduce the role of state in managing the economy and implementing social welfare programmes, following this path will inevitably result in the entrenchment of mass poverty and in a major loss of Ukraine’s human potential, as well as labour force. The author argues that tackling the country’s chronic low income problem is only possible if a new strategy for socio-economic development is adopted, where social welfare is prioritised.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

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