• Title/Summary/Keyword: Data economy

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Optimization of the Parallel Diesel Hybrid Vehicle (병렬형 디젤 하이브리드 전기 자동차 최적화)

  • Yeom, Ki-Tae;Yang, Jae-Sik;Bae, Choong-Sik;Kim, Hyun-Ok
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.6
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    • pp.26-32
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    • 2008
  • This research presents a simulation for the fuel economy of parallel diesel hybrid vehicle. Diesel engines compared to gasoline engines have the advantages of higher fuel economy and lower $CO_2$ emission. One of the most ways to meet future fuel economy and emissions regulation is to combine diesel engine technology with a hybrid electric vehicle. The simulation of HEV is growing need for rapid analysis of the many configurations and component options. WAVE, a one-dimensional engine analysis tool, was used to a 2.7L diesel engine. ADVISOR, designed for rapid analysis of the performance and fuel economy of vehicle models, was used to conventional and hybrid electric vehicle by the use of output file from WAVE as the input engine data file for ADVISOR. A parallel diesel HEV is at least $19.7{\sim}36%$ higher fuel economy and improved acceleration ability compared to a conventional diesel vehicle. The energy loss of the parallel diesel HEV is $23{\sim}38%$ less than the conventional vehicle using regeneration.

INFORMATION AND COMMUNICATION TECHNOLOGIES AS A TOOL OF STRATEGY FOR ENSURING THE HIGHER EDUCATION ADAPTABILITY TO THE DIGITAL ECONOMY CHALLENGES

  • Kholiavko, Nataliia;Popelo, Olha;Bazhenkov, Ievgen;Shaposhnykova, Iryna;Sheremet, Oleh
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.187-195
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    • 2021
  • The intensification of the processes of the digital economy development is leading to the transformation of the higher education system. Universities are forced to digitalize their own educational, research, international, marketing, financial and economic activities in order to maintain a competitive position in the global market of educational services. The purpose of the article is to study the role of information and communication technologies in the development of the higher education system and to ensure its adaptability to modern challenges of digital economy. To achieve this goal, methods of content analysis, logical generalization, systematization and a structural-functional method are used. In the article, the authors substantiate the urgency of forming a holistic strategy to ensure the adaptability of higher education to the challenges of digital economy. In the structure of this strategy, the information-technological block is singled out and described. The authors specified a set of positive synergetic effects from the introduction of modern information and communication technologies in the activities of universities. The main information threats to the digitalization of higher education related to the protection of personal data and university systems from cyberattacks and fraudulent schemes are identified. In conclusion, the authors detail the measures for the strategy implementation to ensure the adaptability of higher education to digital economy.

Developing High-Quality Human Resources in a Knowledge-Based Economy: A Study in Ho Chi Minh City, Vietnam

  • NGUYEN, Nam
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.121-129
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    • 2022
  • For decades, Vietnam has been concerned about the need to improve human capital to meet the demands of a knowledge-based economy. The analysis of the country's current situation of human resources in terms of structure, quantity, and the quality shows that Vietnam's human resources are under-qualified compared with other countries in Southeast Asia, such as Thailand, Malaysia, and Singapore. This poses significant challenges to the economy because the development of human resources is always an urgent requirement for a new economy with fast growth, like in the Vietnamese economy. To attract foreign investment capital and develop more strongly, human resources in Vietnam must have progressed in both quality and quantity. Therefore, the author conducts this study to find out the factors that directly affect the quality of human resources, thereby evaluating and offering appropriate solutions to improve the quality of current human resources in Vietnam. More specifically, through quantitative analysis and survey with data about 4000 employees in Ho Chi Minh City, the author has discovered that there are four important factors that make the difference in labor quality, which are age, gender, marital status, and education level of the workers.

A Study on Estimating Method of Vehicle Fuel Consumption Using GPS Data (GPS 데이터를 이용한 차량의 연료소모량 연산법 연구)

  • Ko, Kwang-Ho
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.6_2
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    • pp.949-956
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    • 2020
  • It's important to measure fuel consumption of vehicles. It's possible to monitor green house gas from vehicles for various traffic conditions with the measured data. It's effective to eco-drive for drivers with fuel consumption data also. There's a display of fuel consumption in the modern vehicles, but it's not useful to get the data from the display. An estimating method for fuel consumption of a vehicle is suggested in the study. It's a simple but an effective method using GPS data. The GPS data(speed, acceleration, road slope) and vehicle data(weight, frontal area, model year, certified fuel economy) is necessary to estimate the fuel consumption for the method. It calculates driving resistance force to estimate engine power. Then it estimates the necessary fuel consumption to maintain the engine power with fuel-power conversion factor. The conversion factor is corrected with certified fuel economy, model year and rated power. The precision of the methods is checked with road test data. The test driving data was measured with GPS and OBD. The error of the estimated fuel consumption for the measured one is about 1.8%. But the error is large for the 1000 and 100 data number from the total data number of about 10,000. The error is from the larger change range of the GPS data than the one of the measured fuel consumption data. But the proposed estimating method is useful to percept the fuel consumption change for better fuel economy with simple gadget like smart phone or other GPS instruments.

Trends Analysis on Research Articles of the Sharing Economy through a Meta Study Based on Big Data Analytics (빅데이터 분석 기반의 메타스터디를 통해 본 공유경제에 대한 학술연구 동향 분석)

  • Kim, Ki-youn
    • Journal of Internet Computing and Services
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    • v.21 no.4
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    • pp.97-107
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    • 2020
  • This study aims to conduct a comprehensive meta-study from the perspective of content analysis to explore trends in Korean academic research on the sharing economy by using the big data analytics. Comprehensive meta-analysis methodology can examine the entire set of research results historically and wholly to illuminate the tendency or properties of the overall research trend. Academic research related to the sharing economy first appeared in the year in which Professor Lawrence Lessig introduced the concept of the sharing economy to the world in 2008, but research began in earnest in 2013. In particular, between 2006 and 2008, research improved dramatically. In order to grasp the overall flow of domestic academic research of trends, 8 years of papers from 2013 to the present have been selected as target analysis papers, focusing on titles, keywords, and abstracts using database of electronic journals. Big data analysis was performed in the order of cleaning, analysis, and visualization of the collected data to derive research trends and insights by year and type of literature. We used Python3.7 and Textom analysis tools for data preprocessing, text mining, and metrics frequency analysis for key word extraction, and N-gram chart, centrality and social network analysis and CONCOR clustering visualization based on UCINET6/NetDraw, Textom program, the keywords clustered into 8 groups were used to derive the typologies of each research trend. The outcomes of this study will provide useful theoretical insights and guideline to future studies.

Trade of ICT Products, Government, and Economic Growth: Evidence from East Asia-Pacific Region

  • NGUYEN, Lien Phuong;PHAM, Van Hong Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.8
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    • pp.175-183
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    • 2020
  • This study explores the effect of trade of Information Communications Technology (ICT) products and government's role, measured by three factors: Control of corruption, Government effectiveness, and Administrative tax level, on raising the economy across the East Asia-Pacific region. Secondary data were collected from the World Bank database of 21 countries over 12 years from 2006 to 2017. Applying the Panel corrected standard error model and running a robustness check based on the Dynamic panel data method, this research found that the exported ICT products, control of corruption, and government effectiveness could increase the economic income of a country in the region. The paper also provided the evidence indicating that the imported ICT products and the Administrative tax level are two harmful factors for economic growth. The major finding confirmed the useful contribution on improving government quality and its economy. First, improving the economy of a country always poses various challenges to its government. During the past decades, although much of the literature confirmed that exporting ICT products could promote an economy, very few studies investigated the role of Administrative tax level and the Government effectiveness. Second, there are only a few studies exploring the capability of government and the economic growth in the Asia-Pacific region.

Study on Agenda-Setting Structure between SNS and News: Focusing on Application of Network Agenda-Setting

  • Kweon, Sang-Hee;Go, Taeseong;Kang, Bo-young;Cha, Min-Kyung;Kim, Se-Jin;Kweon, Hea-Ji
    • International Journal of Contents
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    • v.15 no.1
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    • pp.10-24
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    • 2019
  • This study applied network agenda-setting theory to analyze the impact of the agenda-setting function of the media on certain issues by focusing on the agenda at the center of controversy, 'Creative Economy'. To this end, the study extracted the data referred to creative economy in the media and SNS from 1 January 2008 to 31 December 2014, and analyzed the data using the network analysis program UCINET and the Korean language analysis program Textom. The results of the present study show that, during the period under former President Lee (2008-2011), the media's creative economy agenda-setting function did not exert a significant impact on the agenda-setting within SNS. However, from 2012 when the government of former President Park Geun-hye had started, the agenda-setting function of the media starts to show increasingly strong influence on the agenda cognition in SNS. The central words and sub-words configuration forming the center of the semantic network moved in the direction of a high correlation, in addition to the gradually increasing correlation based on QAP correlation analysis. In 2014, the semantic networks of the media and SNS bore a close resemblance to each other, while the shape of networks and sub-words structure also had a high level of similarity.

Social Business in An Emerging Economy: An Empirical Study in Bangladesh

  • CHOWDHURY, Fatema Nusrat;MUSTAFA, Jasia;ISLAM, K.M. Anwarul;HASAN, K.B.M. Rajibul;ZAYED, Nurul Mohammad;RAISA, Tahsin Sharmila
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.931-941
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    • 2021
  • The study focuses on the relationship between SB, corporate social responsibility (CSR), and the emerging economy. Thereafter it highlights the types, principles, and funding cycle of SB with the evidence from Grameen Bank, which is a globally well-recognized microfinance venture in Bangladesh established by the Nobel Laureate Dr. Muhammad Yunus. This study employs qualitative analysis to illustrate an architectural overview of the SB model by collecting secondary data from various publications related to the topic and published data of Grameen Bank. Finally, this paper illustrates the SB model along with specified characteristics, systematic framework, and main approaches for sustainable context, which could be applied as a conceptual framework for SB in any context of the emerging economy. The findings of this study suggest that the SB model is the workflow having a hierarchy of five phases namely need identification, goal setting, solution-based business plan, business plan assessment, and business plan execution. Analyzing a range of social business interventions in a developing country, Bangladesh, through the lens of five key aspects demonstrates that social business is the most efficient way to sustainably maximize the social benefits and minimize specific social issues poverty of the people affected.

The investment point on cooperative innovation in EVs for the spoke-smart cities : focused on Nordic countries and Korea

  • Seo, Dae-Sung
    • The Journal of Economics, Marketing and Management
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    • v.5 no.3
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    • pp.1-11
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    • 2017
  • E-infrastructural economy for ICT Living-Labs is a need for economic and cultural changes in various types of cars in accordance with the supply of the electric car. Depending on the number of cases by analyzing the supply and demand of electric vehicles among Korea and Northern Europe countries. it was indirectly proved that it makes economic growth. The research design is analyzed with the data and how to respond quickly to focus on the possibility of potential changes to the infrastructure realization and commercialization of government enterprises or electric cars through the ICT Living-Labs in Nordic countries. The data indicates that the leading commercialization emphasize on the development of the electric economic convergence and scalability for electric vehicle. When It shows the time of the infrastructure as ICT Living-Labs being delayed, it lowered growth target results for the development of the electric car industry in the future. All this is from the reason of opening the E-convergence economy over time. It is required that Korea should prepare E-convergence economy. Public regional energy should be present through the consistent selection of development for energy linking E-economy and E-trans distribution. Korea needs to be many difficulties in building the E- infrastructure for ICT Living-Labs. Unlike the Northern Europe it is to prepare the active support of both government and business. The role of the government discovers that the power generation through the quick selection of the industry, as well as to connect with the growth of the smart cities with the EVs industry.

The Long Tail Effect in the Online Food Ordering and Delivery Industry (음식 주문 배달 산업의 긴꼬리 효과에 관한 실증 연구)

  • Yongkil Ahn;Chul-Sung Lee
    • Asia-Pacific Journal of Business
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    • v.15 no.1
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    • pp.99-111
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    • 2024
  • Purpose - This study aims to quantify the long tail effect in the digital economy. It also investigates the role of digital platform before and after the COVID-19 pandemic. Design/methodology/approach - We take advantage of a granular data set from one of the biggest digital platforms in Korea. Rather than computing the absolute number of products sold or the Gini coefficient, we estimate the slope of the log-linear relationship of the non-parametric sales distribution. Findings - We find that the use of online food order and delivery services is positively associated with individual restaurant's sales growth. We also document that the long tail effect is increasing over time. Long tail effects are clustered in the cross-section where average revenue per order is high or the restaurant belongs to the top 50% of the sales distribution. Research implications or Originality - The findings may indicate that digital platforms are contributing to the development of the digital economy in Korea. Also, we confirm that digital platforms make it possible for small and sole proprietors to go through the difficulties induced by the COVID-19 pandemic.