• Title/Summary/Keyword: digital data economy

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A Comparative Study of Big Data, Open Data, and My Data (빅데이터, 오픈데이터, 마이데이터의 비교 연구)

  • Park, Jooseok
    • The Journal of Bigdata
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    • v.3 no.1
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    • pp.41-46
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    • 2018
  • With the advent of the fourth industrial revolution, data becomes very important resource. Now is called as 'Data Revolution Age.' It is said that Data Revolution Age started with Big Data, then accelerated with Open Data, finally completed with My Data. In this paper, we compared Big Data, Open Data, and suggested roles and effects of My Data as a digital resource.

The Study of Logistics Process Standardization (물류 프로세스 표준화 연구)

  • Park, Sun Ho;Park, Soo Min
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.1
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    • pp.173-183
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    • 2011
  • Global logistics including Korea had developed at various fields through the developed IT technology. In addition, in changing into Internet based digital economy times, economic and logistics activities became extending into worldwide over the cross-border. Logistics activity performed by off-line rapidly changed in real environment. But, unfortunately business process modeling about the whole logistics was not happened, even though process modeling had done by transport stages or logistics entities. Therefore, it is difficult to grasp the whole logistics. Additional cost and time was requested due to no association between logistics entities and invisibility. So, this paper has to be process modeling for logistics industry domain. For objective modeling, work area shall be divided and it extracts general work process per each area. And then it defines subprocess of general work process. Cargo tracking in logistics industry domain means to grasp the status and present states at transportation or storage stage. This paper defines business process and data model for electronic processed work area using the UN/CEFACT standard modeling methodology.

Research on the Usage and Satisfaction of Smart Community Initiatives in Malaysia

  • Kassim, Normalini Md;Hashim, Nor Hazlina;Yeap, Jasmine Ai Leen;Nathan, Saravanan;Ramayah, T.
    • Asia-Pacific Journal of Business
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    • v.9 no.4
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    • pp.13-27
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    • 2018
  • This study aims to explore and identify factors of respondent's on the definition of 'smart community facilities', their usage and satisfaction in Malaysia. Study carried out in four sites which were Kota Belud, Kemaman, Lundu and Putrajaya. Data was collected through qualitative method where interviews was carried out with several smart community members in answering factors that drives the usage/participation, satisfaction and continuance intention from using the 'smart community facilities'. Interpretation from the qualitative approach reveals that community thinks infrastructure, content and digital services will help to generate and build up 'smart community'. This will give the benefit for the whole community as well as improve individual efficiency, lifestyles and well-being. Findings demonstrated that the advance of Internet will enhance people usage on being 'smart' and efficient and it should be further improved with better infrastructures, systematic development with sophisticated digital technology services, facilities and structured content, and also safety-security measures in place.

Global IT Industry Competitiveness and e-Readiness of Korean Economy (한국의 글로벌 IT산업 경쟁력과 이비즈니스 준비도)

  • Park, Kyung-Hye
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2008.10b
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    • pp.48-53
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    • 2008
  • The information technology, in the digital economy era, does a very important role not only for the country's administrative management innovation but also for the business and for the everyday life. Specifically, the e-business for the company or organization is defined as "using the Internet and IT, rescheduling of business process management activities to increase productivity and efficiency and to create new business opportunities." Thanks to the Korea's recent efforts, overall level of informatization and digitalization is able to receive high praise. But the e-business readiness (e-readiness) level is still expected a lot of room for improvement. In this paper, I try to analyze the informatization level of Korea's by the EIU's e-business readiness index and IT industry competitiveness index, to prepare a full-scale e-business era of global competitiveness through any preparation that could do to improve the situation from the analysis of statistical data.

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Study on Potential Topics of the MyData and Data Transactions Using LDA Topic Modeling (국내 마이데이터 태동과 데이터 거래에 관한 잠재적 주제 분석)

  • Cho, Ji Yeon;Lee, Bong Gyou
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.221-229
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    • 2022
  • With the recent full-fledged MyData service, interest in the use of personal data is increasing. However, studies on MyData are still in the early stages, focusing on legal and institutional discussions, and studies from a comprehensive perspective are insufficient. Therefore, this study aimed at finding the potential topics formed by social discussions by analyzing news data from 2018 to the present. News data analysis using LDA topic modeling were conducted and 6 potential topics including digital transformation in finance, scope of Mydata business license, amendments and data-related laws, safe use of big data, data economy promotion policy and strategy of the financial industry were derived. This study has significance in that it comprehensively viewed the issues that emerged with the MyData and deriving gaps in previous discussion. Future research is expected to identify changes after the launch of MyData service and provide specific implications through research by specific industries.

DTG Big Data Analysis for Fuel Consumption Estimation

  • Cho, Wonhee;Choi, Eunmi
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.285-304
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    • 2017
  • Big data information and pattern analysis have applications in many industrial sectors. To reduce energy consumption effectively, the eco-driving method that reduces the fuel consumption of vehicles has recently come under scrutiny. Using big data on commercial vehicles obtained from digital tachographs (DTGs), it is possible not only to aid traffic safety but also improve eco-driving. In this study, we estimate fuel consumption efficiency by processing and analyzing DTG big data for commercial vehicles using parallel processing with the MapReduce mechanism. Compared to the conventional measurement of fuel consumption using the On-Board Diagnostics II (OBD-II) device, in this paper, we use actual DTG data and OBD-II fuel consumption data to identify meaningful relationships to calculate fuel efficiency rates. Based on the driving pattern extracted from DTG data, estimating fuel consumption is possible by analyzing driving patterns obtained only from DTG big data.

Assessment of Employment in the Development of the Distribution and Accessibility of Information Society in Azerbaijan

  • SALMANOVA, Mahila
    • Journal of Distribution Science
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    • v.20 no.6
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    • pp.67-74
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    • 2022
  • Purpose: In the current era of rapid development of the information and communication technologies (ICT) sector, the formation of an effective regulatory approach is important. There are some methodological shortcomings and difficulties in the approach system of international organizations that assesses the level of application of ICT in various areas in terms of quantity and quality. The basic element of economic growth differs according to the economic conditions prevailing in the period and the country. While the agricultural sector plays an active role in economic growth or development in an underdeveloped country, in a developed country, capital-intensive and even technology-intensive production is the main element of economic growth. From this point of view, the contribution of information and communication technologies (ICT) to Azerbaijan's socio-economy for the period between 2010-2020 will be examined. Research design and methodology: The unit root test and Granger causality test were applied by taking the CDPPC per Capita, Employment, and Unemployment Rate from the social-o-economic data as the dependent variable, fixed and mobile phone usage and internet usage as the independent variables. The principal results: According to the results obtained; It has been determined that the use of ICT positively affects the socio-economic economic situation.

A Study on the Loss Experiences, Aging Anxiety, and Depression of Young-old and Old-old (전기노인과 후기노인의 상실경험, 노후불안, 우울감에 대한 연구)

  • Paik, Jee-Eun
    • Journal of Digital Convergence
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    • v.16 no.2
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    • pp.403-413
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    • 2018
  • The purpose of this study was to analyze differences in general characteristics, loss experience, aging anxiety, and depression between young-old and old-old and to investigate the difference between the two groups in the effect of loss experience on aging anxiety and depression. The subjects were 65 elderly living in Seoul and Gyeonggi area. First, the young-old were more likely to have spouses than the old-old. Second, old-old experience more loss of health, relationships, economy, and role than young-old. And old-old had higher aging anxiety and lower depression than young-old. Third, for young-old, loss of health, economy, and role affected depression. And for old-old, loss of role affected aging anxiety and depression, and loss of economy affected aging anxiety. This study is meaningful as a basic data for preparing policy and system to supplement loss experience suitable for young-old and old-old.

Life Experiences and Prospects of Welfare/Poverty Exit of the Poor with Work Ability: Mixed Methodology using Sequential Exploratory Design (근로능력이 있는 빈곤층의 경험과 탈수급/탈빈곤 전망에 대한 연구: 순차적 탐구전략에 따른 방법론적 융합)

  • Jo, Joon-Yong
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.19-29
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    • 2016
  • This study analyzes life experiences and prospects of poverty/welfare exit of the poor with work ability utilizing Mixed methodology. Based on Sequential Exploratory Design, it qualitatively analyzes 3 waves of qualitative panel data linked to Korea Welfare Panel Study(KWPS) and presents life changes of 14 poor in the context of their prospects of welfare/poverty exit. Then it proposes hypotheses on the role of education, household economy expectation, self-esteem in the prospects of poverty/welfare exit following the sequential exploratory design to quantitatively test qualitative findings utilizing KWPS(7th). The outcomes of the Structural Equation Model(SEM) suggest that household economy expectation plays mediating role between education and the prospects of welfare/poverty exit. This implies that anti-poverty policy needs to consider a psychological approach to enhance household economy expectations of the poor as well as other material support.

Mission of Social Enterprises in South Korea -A Topic Modeling and Social Network Analysis- (토픽모델링과 사회네트워크분석을 활용한 사회적기업의 미션 연구)

  • Lee, Sae-Mi;Byeon, Jang-Seop;Choi, Ji-Hye;Brown, Alan Dixon
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.31-38
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    • 2022
  • The study explores social enterprises' social goals by analysing their mission so as to better understand their perceptions of social problems. Based on the analysis, the study reconsiders the mission of the current era of the Korean social economy. Accordingly, self-disclosed social enterprise data were collected and analyzed using LDA topic modeling and social network analysis methods. Seven mission topics were extracted, and the network centering on key keywords was derived. The analysis results largely divided the social purposes of social enterprises into three categories: 'social purpose that social enterprises want to achieve', 'activities to achieve the purpose', and 'operation method to achieve the purpose'. The study is meaningful in that it emphasizes the importance of establishing and implementing social goals from the point of view of the social economy as well as realizing the economic value of social enterprises by analyzing their mission.