scholarly journals Research on Performance Evaluation of Diversified Government Quality Work and Analysis on Application Practice in Nei Mongol

2021 ◽  
Vol 96 ◽  
pp. 01011
Author(s):  
Lei Feng ◽  
Juxiu Huang ◽  
Jingxing Liao
Keyword(s):  
Big Data ◽  
Research Work ◽  
Evaluation Process ◽  
Government Performance ◽  
Relevant Research ◽  
Quality Work ◽  
The Public ◽  
Government Quality ◽  
Local Quality ◽  
Big Data Technology

The evaluation of public satisfaction with government quality work is an evaluation form to evaluate government performance from the perspective of the public. The evaluation process is open and transparent, and the results are relatively objective and fair. Taking the application practice in Nei Mongol as an example, in this paper, an index framework is designed and constructed, 12 leagues and cities in the whole region are covered by the investigation, and the actual effect of local quality work is explored and analyzed in combination with big data technology so as to provide enlightenment and reference for relevant research work in the quality field.

scholarly journals Based on the Public Quality Perception Satisfaction Evaluation Theory System Research and Yunnan Province Application Practice

2021 ◽  
Vol 96 ◽  
pp. 01001
Author(s):  
Lei Feng ◽  
Juxiu Huang ◽  
Jingxing Liao
Keyword(s):  
Yunnan Province ◽  
Research Work ◽  
Relevant Research ◽  
Evaluation Theory ◽  
Quality Work ◽  
The Public ◽  
Content Index ◽  
System Data ◽  
Satisfaction Evaluation ◽  
Result Analysis

Survey on public satisfaction of quality work is one of the effective methods for connecting the quality management department with the public. In this paper, the application of techniques and methods of survey on public satisfaction of quality work is studied and explored from the aspects of the design of survey content index system, data collection, and statistical result analysis based on the survey on public satisfaction of quality work in Yunnan Province, so as to provide enlightenment and reference for the relevant research work in the field of quality.

The Library Big Data Research

2018 ◽  
pp. 892-905
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu
Keyword(s):  
Big Data ◽  
Research Work ◽  
The Public ◽  
Research Institutes ◽  
Library Research ◽  
The People ◽  
Intellectual Assets ◽  
The Status ◽  
Visualization Tools ◽  
Stored Information

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.

scholarly journals Public Management Innovation in the Age of Big Data

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang
Keyword(s):  
Big Data ◽  
Public Management ◽  
Great Influence ◽  
Management Innovation ◽  
Daily Lives ◽  
The Public ◽  
Internet Age ◽  
The People ◽  
Big Data Technology

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.

scholarly journals MANAGEMENT OF BIG DATA IN THE CONTEMPORARY WORLD

2021 ◽  
Author(s):  
Anjaneyulu Jinugu ◽  
Sreechandana Kodimela ◽  
Madhavi Laitha V V
Keyword(s):  
Big Data ◽  
Technology Adoption ◽  
Sustainable Development Goals ◽  
Research Work ◽  
Exploratory Research ◽  
The Sustainable Development ◽  
Contemporary World ◽  
Big Data Technologies ◽  
Development Goals ◽  
Big Data Technology

It is strongly believed that technology can reap the best only when it can be tamed by all stakeholders. Big data technology has no exception for this and even after a decade of emergence, the technology is still a herculean task and is in nascent stage with respect to applicability for many people. Having understood the gaps in the technology adoption for big data in the contemporary world, the present exploratory research work intended to highlight the possible prospects of big data technologies. It is also advocated as to how the challenges of various fields can be converted as opportunities with the shift in the perspective towards this evolving concept. Examples of apex organizations like (IMF and ITU) and their initiatives of big data technologies with respect to the Sustainable Development Goals (SDGs) are also cited for a broader outlook. The intervention of the responsible organizations along with the respective governments is also much sought for encouraging the technology adoption across all the sections of the market players.

scholarly journals Reflection on Prevention and Control of Telecommunication Network Fraud in Big Data Era

2020 ◽  
Vol 2 (2) ◽  
pp. 42
Author(s):  
Xingrui Wang
Keyword(s):  
Big Data ◽  
Communication Technology ◽  
Telecommunication Network ◽  
Rapid Development ◽  
Economic Losses ◽  
The Public ◽  
Telecommunication Equipment ◽  
The Masses ◽  
And Control ◽  
Big Data Technology

<p>With the rapid development of smart phones and communication technology, the frequency of communication between the public and society through telecommunication equipment is increasing. At the same time, some lawless elements often cheat the public through telecommunication equipment, which brings irreparable economic losses to the society and the masses to a certain extent. In view of the above problems, this article takes the source of telecommunication fraud as the breakthrough point, analyzes the existing telecommunication fraud processing technology and points out its shortcomings, and then proposes a method of telephone fraud analysis based on big data technology. This technology fills the defects of the existing telecommunication interception technology and provides a new idea for effectively avoiding telecommunication fraud in the future.</p>

The Library Big Data Research

Web Services ◽  
2019 ◽  
pp. 2308-2321
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu
Keyword(s):  
Big Data ◽  
Research Work ◽  
The Public ◽  
Research Institutes ◽  
Library Research ◽  
The People ◽  
Intellectual Assets ◽  
The Status ◽  
Visualization Tools ◽  
Stored Information

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.

scholarly journals Managing Government Digital Reputation through Big Data Processing

2019 ◽  
Vol 22 (2) ◽  
pp. 72
Author(s):  
Khoirun Nisa' ◽  
Effy Rusfian ◽  
Zaenab Zaenab
Keyword(s):  
Big Data ◽  
Public Relations ◽  
Data Processing ◽  
Reputation Management ◽  
Quality Data ◽  
Management Process ◽  
Big Data Processing ◽  
The Public ◽  
Credible Information ◽  
Big Data Technology

The objective of this paper is to assess government reputation management performance by lev-eraging Big Data technology, internet, and public relations capacity, in particular creating credible information for the public. The research used a case study methodology on Indonesi-aBaik.id management for the period between 13th September to 13th October, 2017. The focus of the research was on the degree to which big data processing influenced communication, pub-lic persuasion, and content. Research techniques used to collect data including in-depth inter-views, observation, and literature review through elated techniques. Research findings indicate that effective Big Data processing is underpinned by quality data analysis and creative content development skills. This research contributes to knowledge on the application of online reputa-tion management processes for public relations officials and general readers based on the four steps of management process by Cutlip as applied to reputation management analysis using Big Data technology effectiveness. Based on the result of the research the government reputation management practice should also followed by higher competence of the public relation officials especially on the skill of reputation management process and public persuasion skill, thus, the process of creating credible information can be done adequately.

scholarly journals The Application of Big Data Technology in the Practical Research Work of Ideological and Political Courses

2021 ◽  
Vol 290 ◽  
pp. 02026
Author(s):  
Yuhong Bai
Keyword(s):  
Big Data ◽  
Research Work ◽  
Research Data ◽  
Data Management System ◽  
Survey Method ◽  
Processing Data ◽  
Practical Research ◽  
Survey Results ◽  
Curriculum Construction ◽  
Big Data Technology

This article analyzes the application advantages, application core and technical nature of big data technology. The author studies the specific application of big data technology in the allocation of topics, pre-class research, data collection and processing, data statistical analysis, and data rational application. This article studies how to do well in survey method training, how to improve the data management system, how to strengthen the curriculum construction of colleges and universities, and how to actively learn from successful cases. The author’s purpose is to enhance the application value of big data technology and improve the reliability of the practical survey results of ideological and political courses.

The Library Big Data Research: Status and Directions

2021 ◽  
pp. 182-195
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu
Keyword(s):  
Big Data ◽  
Research Work ◽  
The Public ◽  
Research Institutes ◽  
Library Research ◽  
The People ◽  
Intellectual Assets ◽  
The Status ◽  
Visualization Tools ◽  
Stored Information

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.

scholarly journals Big data: issues, trends, problems, controversies in ASEAN perspective

2019 ◽  
Vol 3 (2) ◽  
pp. 80-93
Author(s):  
Haviluddin Haviluddin ◽  
Rayner Alfred
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Economic Community ◽  
The Public ◽  
Software Technology ◽  
Technology Applications ◽  
Definition Of ◽  
Big Data Technology

Big Data has a characteristics is size, new opportunities and have the potential to transform corporations and government and its interactions with the public. This paper attempts to offer a broader definition of Big Data that captures it is other unique and defining characteristics. This paper presents a consolidated description of Big Data by integrating definitions from practitioners and academics. In addition, we summarize the issues, trends, problems and controversies related to Big Data (technology, applications, and people) from infrastructure (i.e., hardware and software), technology for Big Data Analytics (BDA), management, educational and scientists, and government-related to policies perspectives in order to support the Economic Community ASEAN (AEC) era.

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