• Title/Summary/Keyword: Trade in services

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A Comparative Analysis on the Performance Factors of CDMA and WIPI Technology Policies : Focusing on System of Innovation, Governance Structure, and Path Dependence (CDMA와 WIPI 기술정책의 성과요인 비교분석 : 혁신시스템, 거버넌스구조, 경로의존성을 중심으로)

  • Lee, Hyo Jin
    • Journal of Information Technology Services
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    • v.18 no.4
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    • pp.171-190
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    • 2019
  • This study comparatively analyzes the cases of CDMA (Code Division Multiple Access) and WIPI (Wireless Internet Platform for Interoperability) to find out the success and failure factors of technology policies in the field of mobile communication industry. For this purpose, the two cases are analyzed through a new analysis framework, which is made by combining System of Innovation with a range of variables derived from precedent studies, such as external environment, institutions, technological system, governance structure, and interactions of actors. The results of analysis show that in the CDMA case, the following factors led to success ; Korea made good use of the external opportunities in the early stage of digital communication technology and adopted a suitable governance structure for the technological system. Main actors in Innovation System had strong will for success and engaged in cooperative interaction. For the WIPI, however, the timing of technology policy was inappropriate and a unsuitable governance structure for technological system was chosen because of path dependence. The Innovation System failded to respond efficiently to the situation where conflicts among actors had intensified, US trade pressure had increased and innovative smartphones emerged. The results of this study provide the practical implications for the success of technology policy; namely it is important to choose a governance structure that suits the external environment and characteristics of technology and to activate cooperative interactions among actors in Innovation System.

A framework for Crowdfunding platforms to match services between funders and fundraisers

  • Hasnan, Baber
    • The Journal of Industrial Distribution & Business
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    • v.10 no.4
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    • pp.25-31
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    • 2019
  • Purpose - A framework is suggested in this paper which will help crowdfunding platforms to match projects according to expectations of funders, leading to successful campaigns and thus increase the profitability of the crowdfunding platform. Research design, data, and methodology - The paper is theoretical and conceptual in nature which proposes a model for crowdfunding platforms to match expectations of crowds with project fundraisers. Results - Crowdfunding platforms are going through incremental innovations in order to match customer (funders and fundraisers) expectations. Leading crowdfunding platforms like Kickstart holds benchmark for other players in the market but the secret of success lies in matching quality projects with the appropriate funders. Crowdfunding platforms have to securitize the projects and allow only quality projects but also provide a wide range of options for funders. Thus, to manage this trade-off between quality and quantity of options, a framework is proposed. Conclusions - Crowdfunding platforms have to adopt a model which will help them in providing a perfect match between crowds and fundraisers. Each member of the crowd and every project will be assigned a category and rating based on the past records. Securitization of projects will help to entertain only demanded projects which will reduce the number of failing campaigns.

A Case Study on the Success Factors of B2C Reverse Auction Business Model (사례 연구를 통한 B2C 역경매 사업 모델의 성공 요인 분석)

  • Kim, Changhee;Lee, Gyusuk;Kim, Soowook
    • Journal of Information Technology Services
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    • v.15 no.3
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    • pp.247-263
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    • 2016
  • The purpose of the study is to derive success factors of B2C reverse auction business model, a business model contributes to the recent innovative practices in e-commerce and service sector. Electronic reverse auction has been traditionally used to ensure the procurement convenience and purchasing efficiency in B2B or B2G settings, however, e-RA is now expanding its basis toward B2C commerce industry along the huge success of an online e-RA travel service provider Priceline.com. Recently, B2C e-RA business model is getting the spotlight in the Korean venture industry with a variety of startups in diverse areas. However, e-RA does not work perfect in all kinds of trade settings. Therefore, we conducted a multiple case study to find out the success factors of B2C business model as follows : First, large supplier basis is an important factor that constructs a quasi-perfect competition environment. Second, the high online and mobile accessibility or e-readiness of Korean consumers was also a critical aspect of the success of e-RA. Lastly, e-RA performs best when the supplier switching cost is low and the trading occurs infrequently.

A Hierarchical Bitmap-based Spatial Index for Efficient Spatial Query Processing on Air (무선환경에서 효과적인 공간질의 처리를 위한 계층적 비트맵 기반 공간 색인)

  • Song, Doo-Hee;Park, Kwang-Jin
    • Journal of Internet Computing and Services
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    • v.12 no.6
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    • pp.43-51
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    • 2011
  • The recent development of the technology for wireless mobile computing and applied technology for location-based services has made it possible to support query processing faster than that in the past. However, some technological limitations on hardware and software still exist. The most critical aspects of query processing are accuracy and speed. For improving the accuracy, it is required that detailed information on the data involved in query processing be saved. In this case, the amount of information on the data increases, which decreases the speed. On the other hand, for increasing the speed, it is necessary to reduce the broadcast cycle, which enables rapid data acquisition as desired. In this case, because of insufficient index information, the listen time for the client increases, which may cause unnecessary energy consumption. Therefore, a trade-off occurs between the accuracy and speed. This paper proposes a hierarchical bitmap-based spatial index (HBI) as a solution for the aforementioned problems. HBI describes an object with 0 and 1 on the Hilbert curve map. It reduces the broadcast cycle by decreasing the index size on the basis of bit information and tree structure. Therefore, it is able to shorten the listen time and query processing time. In addition, HBI enables the detection of the locations of all the objects so that it is possible selectively listen to a broadcast. A performance evaluation of the proposed technique demonstrates that it is excellent.

A Decision Support Model for Financial Performance Evaluation of Listed Companies in The Vietnamese Retailing Industry

  • NGUYEN, Phi-Hung;TSAI, Jung-Fa;NGUYEN, Viet-Trang;VU, Dang-Duong;DAO, Trong- Khoi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.1005-1015
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    • 2020
  • This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.

A Study on the Relation of Web News and Stock Price (웹 뉴스의 양과 주가의 관계에 관한 연구)

  • Kim, Sang Soo;Nam, Dal-Woo;Jo, Hyeon;Kim, Soung Hie
    • Journal of Information Technology Services
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    • v.11 no.3
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    • pp.191-203
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    • 2012
  • In the stock market, the investors rely on stock information to trade. Good information may stimulate buying, raising the stock prices and the bad information may result in selling, decreasing the stock prices. In terms of the relationship between information and stock prices, stock prices can be viewed as reaction of investors to all the information flowing into the market. The significant increase of web stock news volume is often associated with the significant changes of stock prices. When the web stock news volume for a firm increases significantly, the stock price movement is often oscillatory. This paper attempts to investigate the relationship between volumes of information from Korean web IT and stock prices in Korean stock market. This research shows that when the web stock news volume increases significantly, volatility, trading volumes and rate of returns are increase too. The results of the study provide us with the new clues to the microstructure of the stock market from the perspective of the web news.

Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web

  • Hussain Saleem;Khalid Bin Muhammad;Altaf H. Nizamani;Samina Saleem;M. Khawaja Shaiq Uddin;Syed Habib-ur-Rehman;Amin Lalani;Ali Muhammad Aslam
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.137-145
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    • 2023
  • E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.

A Study on Cross-Border Supply Regulation Policy of Telecommunications Service - Focused on Korea, USA, Japan - (통신서비스의 국경간 공급 규제정책 연구 - 한국, 미국, 일본을 중심으로 -)

  • Kang, Shin-Won;Bae, Hong-Kyun
    • International Area Studies Review
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    • v.13 no.1
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    • pp.445-464
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    • 2009
  • Many countries in the world have regulated cross-border supply in basic telecommunications services based on GATS exception rule for telecommunications because of anti-competition behavior control, domestic consumer protection, tax levy, national security, etc. Korea partially regulates cross-border supply in telecommunications service through the WTO and the domestic law and regulation. However, WTO and FTA negotiations, cross-border supply regulation are strongly demanded to deregulation. Therefore, it is required to review the effectiveness of cross-border supply regulation to prepare the counter plan for that regulation. Thus, the major countries of the telecommunication services regulation regarding the cross-border supply are reviewed. In addition, it is retrieved some implications for Korean regulation policy by reviewing the actual regulation of many countries cases.

A Dynamic Programming for Solving Resource Allocation Problems in Video-on-Demand Service Networks (Video-on-Demand 서비스망의 자원 할당 문제를 위한 동적계획법)

  • Cho, Myeong-Rai
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.10
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    • pp.3182-3194
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    • 2000
  • It is strongly beliefed that Video on Demand(VOD) will become one of the most promising services in Broadband Integrated Services Digital Network(B-ISDN) for the nest generation VOD service can be classified into two types of services 'Near VOD(NVOD) and Interactive VOD(IVOD). For both services, some video servers should be installed at some nodes(especially, at the root node for NVOD service) in the tree structued VOD network,so that each node with video server stores video programs and distribules stored programs to customers. We consider thre kinds of cost.a program transmission cost, a program storage cost, and a video server installation cost. There exists a trade-off relationship among those three costs according to locationsl of video servers and the kinds of programs stord at each video server. Given a tree structured VOD network, and the total number of programs being served in the network, the resource allocation problem in a VOD network providing both IVOD and NVOD services is to determine where to install video servers for IVOD service, which and how many programs should be stored at each video server for both IVOD and NVOD services, so as to minunize the total cost which is the sum of three costs for both IVOD and NVOD services. In this paper we develop an efficient cynamic programming algorithm for solving the problem. We also implement the algorithm based on a service policy assumed in this paper.

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A Study on Consumer Sharing Economy Service Usage Attitudes and Usage Intentions (소비자의 공유경제 서비스 이용태도 및 이용의도에 대한 연구)

  • Lee, Seung Sin
    • Human Ecology Research
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    • v.55 no.2
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    • pp.105-124
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    • 2017
  • The recent global economic crisis has resulted in increased discussion and attention on the sharing economy, a form of economic activity where individuals share currently available products. This study investigates consumer sharing economy usage attitudes and usage intentions by applying rational choice theory. For this study, an investigation that had 400 adult consumers from across Korea answer a structured questionnaire was conducted. A statistical approach using SPSS ver. 22.0 was used to analyze the data. The study found that the consumer's sharing economy value and participation levels were higher than usual. Higher than usual consumption patterns were seen for the construct of rational behavior theory. An analysis of the relative influence of variables regarding sharing economy usage intention also found that usage intention was higher for those who had experienced using a sharing economy services rather than those who did not have experience. In addition, the sharing economy usage intention also increased along with the values for subjective norms, sharing economy usage attitudes, sharing economy participation, sharing economy emotional benefits, and increased values. This study found that fundamental materials for consumer education should be made to eliminate difficulties that consumers have when they use sharing economy services. It is also expected that economic policy will develop to stimulate the sharing economy in a stable manner, that sharing economy-related information will be provided to consumers, and that consumer policies will be prepared to prevent consumer problems before they occur.