scholarly journals Research on economic development strategy based on big data

2021 ◽  
Vol 235 ◽  
pp. 03080
Author(s):  
Tuofu Shen
Keyword(s):  
Big Data ◽  
Development Strategy ◽  
Information Age ◽  
Data Driven ◽  
Economic Activities ◽  
The Public ◽  
Economic Development Strategy ◽  
Main Development ◽  
Development Paradigm ◽  
The Impact

Since the 21st century, data has grown exponentially, and the world has entered the era of big data. In the era of big data, the core assumptions and research methods of economics have changed, and data-driven development paradigm has gradually become the main development paradigm of economics. From the perspective of economics and economics, this paper expounds the impact of economics, economics and Economics on the development of data driven models. The research in this paper is conducive to in-depth understanding of the development and changes of economics in the era of big data, and can promote the public to better participate in economic activities and understand the operation of market economy in the information age.

A study of big data evolution and research challenges

2018 ◽  
Vol 45 (3) ◽  
pp. 322-340 ◽  
Author(s):  
Deepak Gupta ◽  
Rinkle Rani
Keyword(s):  
Big Data ◽  
Data Stream ◽  
Information Age ◽  
Tidal Wave ◽  
Digital Data ◽  
Data Driven ◽  
Research Challenges ◽  
Wide Gap ◽  
Almost All ◽  
Data Evolution

The world is already into the information age. The huge growth of digital data has overwhelmed the traditional systems and approaches. Big data is touching almost all aspects of our life and the data-driven discovery approach is an emerging paradigm for computing. The ever-growing data provides a tidal wave of opportunities and challenges in terms of data capture, storage, manipulation, management, analysis, knowledge extraction, security, privacy and visualisation. Though the promise of big data seems to be genuine, still a wide gap exists between its potential and realisation. In last few years, there is a huge surge in research efforts in academia as well as industry to have a better understanding of big data. This article discusses the following: (1) big data evolution including a bibliometric study of academic and industry publications pertaining to big data during the period 2000–2017, (2) popular open-source big data stream processing frameworks and (3) prevalent research challenges which must be addressed to realise the true potential of big data.

scholarly journals Organisasiestrukture van landbou-ontwikkelingsinstellings

1993 ◽  
Vol 24 (2) ◽  
pp. 45-55
Author(s):  
J. Kroon ◽  
H. J.P. Steyn
Keyword(s):  
Development Strategy ◽  
Southern Africa ◽  
Agricultural Development ◽  
Organizational Design ◽  
Economic Activities ◽  
Developing Regions ◽  
The Public ◽  
Development Institutions ◽  
Independent States ◽  
Basis Word

Organization structures of agricultural development Institutions. Agriculture plays an important role in the economic activities of the developing regions of Southern Africa. The public sector has an important role to play in promoting agricultural development. This role can be fulfilled by government departments. These inititutions are, however, often restricted in this function. As a result of this, all the independent states and self-governing territories in Southern Africa have created independent institutions to undertake agricultural development. In this article, attention is firstly given to a short description of agricultural development institutions and following that, the approach in organizational design is given. An analysis of the environment in which agricultural development institutions operate is given to serve as basis for proposing a development strategy for these institutions. Based on this proposed strategy, the functions to be performed by agricultural development institutions are formulated, and an organizational structure for agricultural development institutions, is proposed.Landbou speel 'n belangrike rol in die ontwikkelende gebiede van Suider Afrika. Die openbare sektor het 'n groot verantwoordelikheid ten opsigte van die bevordering van landbou-ontwikkeling. Hierdie rol kan deur staatsdepartemente vervul word. Weens verskeie organisatoriese beperkings van sulke instellings het al die onafhanklike state en selfregerende gebiede in Suider Afrika onafhanklike korporatiewe instellings vir landbou-ontwikkeling geskep. In hierdie artikel word landbou-ontwikkelingsinstellings beskryf. Daarna volg 'n bespreking van 'n benadering tot organisasie-ontwerp. 'n Ontleding van die omgewing waarin sodanige instellings funksioneer, dien as basis vir die formulering van 'n toepaslike ontwikkelingstrategie. Met die strategie as basis word die funksies van landbou-ontwikkelingsinstellings bepaal, en 'n organisasiestruktuur voorgestel.

scholarly journals Impact of the COVID-19 Epidemic on Stroke Care and Potential Solutions

Stroke ◽  
2020 ◽  
Vol 51 (7) ◽  
pp. 1996-2001 ◽  
Author(s):  
Jing Zhao ◽  
Hang Li ◽  
David Kung ◽  
Marc Fisher ◽  
Ying Shen ◽  
...  
Keyword(s):  
Big Data ◽  
Hospital Admissions ◽  
Stroke Care ◽  
Limiting Factors ◽  
Limiting Factor ◽  
Significant Drop ◽  
The Public ◽  
Key Factor ◽  
Prehospital Delays ◽  
The Impact

Background and Purpose: When the coronavirus disease 2019 (COVID-19) outbreak became paramount, medical care for other devastating diseases was negatively impacted. In this study, we investigated the impact of the COVID-19 outbreak on stroke care across China. Methods: Data from the Big Data Observatory Platform for Stroke of China consisting of 280 hospitals across China demonstrated a significant drop in the number of cases of thrombolysis and thrombectomy. We designed a survey to investigate the major changes during the COVID-19 outbreak and potential causes of these changes. The survey was distributed to the leaders of stroke centers in these 280 hospitals. Results: From the data of Big Data Observatory Platform for Stroke of China, the total number of thrombolysis and thrombectomy cases dropped 26.7% ( P <0.0001) and 25.3% ( P <0.0001), respectively, in February 2020 as compared with February 2019. We retrieved 227 valid complete datasets from the 280 stroke centers. Nearly 50% of these hospitals were designated hospitals for COVID-19. The capacity for stroke care was reduced in the majority of the hospitals. Most of the stroke centers stopped or reduced their efforts in stroke education for the public. Hospital admissions related to stroke dropped ≈40%; thrombolysis and thrombectomy cases dropped ≈25%, which is similar to the results from the Big Data Observatory Platform for Stroke of China as compared with the same period in 2019. Many factors contributed to the reduced admissions and prehospital delays; lack of stroke knowledge and proper transportation were significant limiting factors. Patients not coming to the hospital for fear of virus infection was also a likely key factor. Conclusions: The COVID-19 outbreak impacted stroke care significantly in China, including prehospital and in-hospital care, resulting in a significant drop in admissions, thrombolysis, and thrombectomy. Although many factors contributed, patients not coming to the hospital was probably the major limiting factor. Recommendations based on the data are provided.

Big Data

2015 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ashok Kumar Wahi ◽  
Yajulu Medury ◽  
Rajnish Kumar Misra
Keyword(s):  
Big Data ◽  
Unstructured Data ◽  
Data Driven ◽  
Enterprise 2.0 ◽  
Huge Amount ◽  
The World ◽  
Data Driven Decisions ◽  
The Impact

Big data has taken the world by storm. Everyone from every industry is not only talking about the impact of big data but is looking for ways to effectively leverage the power of big data. This challenge has heightened with the huge amount of unstructured data flowing from every direction, bringing along with it the increasing pressure to make data driven decisions rather than the gut-driven decisions. This article sheds light on how big data can be an enabler for smart enterprises if the organization is able to address the challenges posed by big data. Enterprises need to equip themselves with relevant technology, desired skills and a supporting managerial attitude to swim through the challenges of big data. It also highlights the need for all enterprises making the journey from 1.0 stage to Enterprise 2.0 to master the art of Big Data if they have to make the transition successful.

scholarly journals The impact of Covid-19 lockdown on socio-economic activities in Kaduna State, Nigeria

2020 ◽  
Vol 2 (1) ◽  
pp. 41-51
Author(s):  
Abdulkadir Muhammed Yahaya ◽  
◽  
Adenike Montiliat ◽  
Hajara Salahudeen ◽  
◽  
...  
Keyword(s):  
Research Methodology ◽  
Reliable Data ◽  
Religious Activities ◽  
Economic Activities ◽  
Public And Private ◽  
The Public ◽  
Exact Time ◽  
Commercial Activities ◽  
The World ◽  
The Impact

Purpose: Coronavirus (Covid-19) pandemic affects social and economic activities all over the world. This study analyses the impact of lockdown caused by the pandemic in Kaduna State, Nigeria, so that the public can appreciate it and take adequate measures to curb it. Research methodology: A total of 370 questionnaires were administered to traders, worshippers, parents and marketers. The interview was also conducted in mosques and churches, markets and houses to collect data during and after the Covid-19 lockdown. The data were collected within a month from Tuesday 21 May 2020 to 21 June 2020. Results: The results reveal that 67% of the respondents see commercial activities doing well before the lockdown, but only 12% during the lockdown and a further 59% after the lockdown. The results also revealed that 56% of the respondents see educational acquisitions doing well before the lockdown, 13% during and 24% after the lockdown. The results further show that 60%, 10% and 53% were for before, during and after the lockdown, respectively, for religious activities. Limitation: The data was not collected before the lockdown but only during and after. This might not give highly reliable data for one of the data was organised not at the exact time of the incidence. Contribution: The study will help both public and private organisations appreciate the difficulties caused by the lockdown in the state so as to find alternative ways of cubbing the pandemic subsequently. The study can also be replicated in some areas with similar characteristics. Keywords: Impact, Covid-19, Lockdown, Socio-economic activities

scholarly journals Research on the Impact of Data Driven on the Cultivation of Innovative Talents in Economics Majors in China

2021 ◽  
Vol 1 (1) ◽  
pp. 44-47
Author(s):  
Ling Jiang ◽  
Xilai Chen ◽  
Bo Xu ◽  
Zejiong Zhou
Keyword(s):  
Big Data ◽  
Current Situation ◽  
Data Driven ◽  
Economics Majors ◽  
The Impact

With the application of Internet big data in the economic field, the requirements for the cultivation of innovative and entrepreneurial talents have been put forward for the current economic universities. Based on the current situation of my country's economic professional talents innovation training under the data-driven background, this article analyzes the impact of data-driven on the training of economic professional innovative talents in my country, and points out the problems in the training of economic professional innovative talents driven by data. And put forward targeted suggestions and opinions.

Understanding big data-driven supply chain and performance measures for customer satisfaction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ramadas Thekkoote
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Customer Satisfaction ◽  
Performance Measures ◽  
Data Driven ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
Different Dimensions ◽  
The Impact

PurposeSupply chain analytics with big data capability are now growing to the next frontier in transforming the supply chain. However, very few studies have identified its different dimensions and overall effects on supply chain performance measures and customer satisfaction. The aim of this paper to design the data-driven supply chain model to evaluate the impact on supply chain performance and customer satisfaction.Design/methodology/approachThis research uses the resource-based view, emerging literature on big data, supply chain performance measures and customer satisfaction theory to develop the big data-driven supply chain (BDDSC) model. The model tested using questionnaire data collected from supply chain managers and supply chain analysts. To prove the research model, the study uses the structural equation modeling technique.FindingsThe results of the study identify the supply chain performance measures (integration, innovation, flexibility, efficiency, quality and market performance) and customer satisfaction (cost, flexibility, quality and delivery) positively associated with the BDDSC model.Originality/valueThis paper fills the significant gap in the BDDSC on the different dimensions of supply chain performance measures and their impacts on customer satisfaction.

Opportunities and risks of the climate policy in Russia

2022 ◽  
pp. 72-89
Author(s):  
B. N. Porfiriev ◽  
A. A. Shirov ◽  
A. Y. Kolpakov ◽  
E. A. Edinak
Keyword(s):  
Economic Development ◽  
Development Strategy ◽  
Carbon Sink ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Economic Dimension ◽  
Economic Development Strategy ◽  
Ghg Reduction ◽  
Socio Economic Development ◽  
The Impact

The climate agenda involves significant economic dimension and component. This is precipitated, on the one hand, by the climate change impact on the economy and its implications for economic development that necessitate costs for planning and implementing adaptation measures, and, on the other hand, by the imperatives of structural and technological modernization of the economy to strengthen its competitiveness and sustainability of socio-economic development including reduction of industrial greenhouse gases (GHG) emissions and increasing the ecosystems’ carbon sink capacity. The above implies harmonization of ecological, climatic, socio-economic, and technological characteristics to produce an effective national low GHG emissions socio-economic development strategy required by the Paris Climate Agreement. This in turn calls for comprehensive assessment of the impact produced by new low-carbon technologies on economic dynamics using the framework of macrostructural calculations and scenarios of economic development of Russia with different volumes of funding invested in decarbonization. It is argued that the most efficient is a group of so-called moderate scenarios that provide for both GHG reduction and economic growth rates above the global average. More ambitious scenarios involve risks of slowing GDP growth given weighty additional investment which constrains the dynamics of household consumption. The key role of the Russian ecosystems capacity to absorb and sequester carbon in implementation of the low GHG emissions socio-economic development strategy is substantiated and the imperative for the complex of measures to improve the efficiency of land use and forestry resources (LULUCF), primarily the quality of R&D and the national monitoring system development, is emphasized.

Redefining Medicine’s Relationship with the Media in the Era of COVID-19 (Preprint)

2020 ◽  
Author(s):  
Andrew David Carlo ◽  
Brian S. Barnett ◽  
Utibe R. Essien ◽  
Sandro Galea
Keyword(s):  
Public Health ◽  
Information Age ◽  
Public Health Communication ◽  
The Public ◽  
Media Interaction ◽  
The Media ◽  
Media Channels ◽  
The Impact ◽  
Health Field ◽  
And Training

UNSTRUCTURED In recent months, there has been a substantial focus on the spread of mis- and disinformation through the media, but there has been little mention of the public health consequences of media overconsumption and data misinterpretation. Physicians and other health professionals have an important voice and the medical field can do more to mitigate the impact of unhealthy media interaction on public health communication in the Information Age. Doing this requires a coordinated, deliberate effort. Clinicians, researchers and medical thought leaders must be cognizant of how their data and words can be rapidly shared, internalized and possibly misinterpreted through media channels. Further, medicine needs to have clear standards or guidelines for interacting with the media during public health crises, much like the mental health field has established for completed suicides of public figures. Finally, medical schools, residencies and training programs should devise clear plans to train the upcoming generation for the inevitable next pandemic or disaster.

scholarly journals Corporate Attitudes towards Big Data and Its Impact on Performance Management: A Qualitative Study

2019 ◽  
Vol 11 (3) ◽  
pp. 684 ◽  
Author(s):  
Irina Pugna ◽  
Adriana Duțescu ◽  
Oana Stănilă
Keyword(s):  
Big Data ◽  
Performance Management ◽  
Business Environment ◽  
Data Driven ◽  
Specific Reference ◽  
Senior Executives ◽  
Organizational Challenges ◽  
Critical Areas ◽  
Research Questions ◽  
The Impact

This paper investigates the organizational challenges raised by Big Data and its impact on the business environment with a focus on performance management. We investigate managers’ perceptions, understanding, and attitudes relating to Big Data and its analytics, in terms of opportunities, extent, limitations, challenges, and implications, with specific reference to performance management. The research methodology we adopt is grounded theory: we develop a reflection guide based on research questions covering the impact and challenges of a data-driven culture on business, and the impact on performance management and the decision-making process. The results obtained from senior executives from 21 Romanian companies leads to a conceptual model that distils the major areas arising from the responses and the interrelationships between them. These reveal several key areas of managerial relevance and suggest fruitful action. In particular, we find that the most critical areas requiring intervention lie in the area of awareness and understanding, goal setting, assessing benefits and limitations, learning to trust data, and commitment to an embedded data-driven culture. In addition to changes within organizations themselves, there are also implications for other stakeholders, such as education providers.

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