• Title/Summary/Keyword: 비즈니스 거래

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Forecasting of Iron Ore Prices using Machine Learning (머신러닝을 이용한 철광석 가격 예측에 대한 연구)

  • Lee, Woo Chang;Kim, Yang Sok;Kim, Jung Min;Lee, Choong Kwon
    • Journal of Korea Society of Industrial Information Systems
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    • v.25 no.2
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    • pp.57-72
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    • 2020
  • The price of iron ore has continued to fluctuate with high demand and supply from many countries and companies. In this business environment, forecasting the price of iron ore has become important. This study developed the machine learning model forecasting the price of iron ore a one month after the trading events. The forecasting model used distributed lag model and deep learning models such as MLP (Multi-layer perceptron), RNN (Recurrent neural network) and LSTM (Long short-term memory). According to the results of comparing individual models through metrics, LSTM showed the lowest predictive error. Also, as a result of comparing the models using the ensemble technique, the distributed lag and LSTM ensemble model showed the lowest prediction.

Performance Analysis on Day Trading Strategy with Bid-Ask Volume (호가잔량정보를 이용한 데이트레이딩전략의 수익성 분석)

  • Kim, Sun Woong
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.36-46
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    • 2019
  • If stock market is efficient, any well-devised trading rule can't consistently outperform the average stock market returns. This study aims to verify whether the strategy based on bid-ask volume information can beat the stock market. I suggested a day trading strategy using order imbalance indicator and empirically analyzed its profitability with the KOSPI 200 index futures data from 2001 to 2018. Entry rules are as follows: If BSI is over 50%, enter buy order, otherwise enter sell order, assuming that stock price rises after BSI is over 50% and stock price falls after BSI is less than 50%. The empirical results showed that the suggested trading strategy generated very high trading profit, that is, its annual return runs to minimum 71% per annum even after the transaction costs. The profit was generated consistently during 18 years. This study also improved the suggested trading strategy applying the genetic algorithm, which may help the market practitioners who trade the KOSPI 200 index futures.

An Industry-Service Classification Development of 5G-based Autonomous Vehicle Applications (5G 기반 자율주행차 활용 산업-서비스 분류체계 개발)

  • Kim, Dong Ha;Park, Seon Jeong;Leem, Choon Seong
    • The Journal of Society for e-Business Studies
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    • v.24 no.2
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    • pp.91-112
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    • 2019
  • In accordance with the advent of the 5th generation (5G) communication technology, we are having a change in various communication services which converge with high technologies related to the 4th Industrial Revolution. To utilize the upcoming 5G technology effectively and practically, we analyzed the technologies which have the most potential in convergence under the introduction of 5G technology and as a result, it is a autonomous vehicle that we'll discuss the core technologies of the 4th Industrial Revolution, which can lead to service activation by being combined with 5G technology. In addition, we developed an industry-service classification of 5G-based autonomous vehicle, we provided a basis for supporting a new business and its new business model converged with 5G communication technology. Furthermore, we will create a linkage matrix with the industry-service classification system of a new autonomous vehicles. This matrix will service as a guideline for industry-service development where autonomous vehicles can be utilized actively in the next generation.

Performance Analysis of Bitcoin Investment Strategy using Deep Learning (딥러닝을 이용한 비트코인 투자전략의 성과 분석)

  • Kim, Sun Woong
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.249-258
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    • 2021
  • Bitcoin prices have been soaring recently as investors flock to cryptocurrency exchanges. The purpose of this study is to predict the Bitcoin price using a deep learning model and analyze whether Bitcoin is profitable through investment strategy. LSTM is utilized as Bitcoin prediction model with nonlinearity and long-term memory and the profitability of MA cross-over strategy with predicted prices as input variables is analyzed. Investment performance of Bitcoin strategy using LSTM forecast prices from 2013 to 2021 showed return improvement of 5.5% and 46% more than market price MA cross-over strategy and benchmark Buy & Hold strategy, respectively. The results of this study, which expanded to recent data, supported the inefficiency of the cryptocurrency market, as did previous studies, and showed the feasibility of using the deep learning model for Bitcoin investors. In future research, it is necessary to develop optimal prediction models and improve the profitability of Bitcoin investment strategies through performance comparison of various deep learning models.

Proposal of Promotion Strategy of Mobile Easy Payment Service Using Topic Modeling and PEST-SWOT Analysis (모바일 간편 결제 서비스 활성화 전략 : 토픽 모델링과 PEST - SWOT 분석 방법론을 기반으로)

  • Park, Seongwoo;Kim, Sehyoung;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.365-385
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    • 2022
  • The easy payment service is a payment and remittance service that uses a simple authentication method. As online transactions have increased due to COVID-19, the use of an easy payment service is increasing. At the same time, electronic financial industries such as Naver Pay, Kakao Pay, and Toss are diversifying the competition structure of the easy payment market; meanwhile overseas fintech companies PayPal and Alibaba have a unique market share in their own countries, while competition is intensifying in the domestic easy payment market, as there is no unique market share. In this study, the participants in the easy payment market were classified as electronic financial companies, mobile phone manufacturers, and financial companies, and a SWOT analysis was conducted on the representative services in each industry. The analysis examined the user reviews of Google Play Store via a topic modeling analysis, and it employed positive topics as strengths and negative topics as weaknesses. In addition, topic modeling was conducted by dividing news articles into political, economic, social, and technology (PEST) articles to derive the opportunities and threats to easy payment services. Through this research, we intend to confirm the service capabilities of easy payment companies and propose a service activation strategy that allows gaining the upper hand in the market.

Review of change and response strategies for ESG management (ESG 경영을 위한 변화 및 대응 전략 검토)

  • Choe Yoowha
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.75-79
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    • 2023
  • ESG management means to thoroughly consider the investor's perspective when evaluating corporate value, and environmental, social, and governance issues are continuous and strategic monitoring issues in identifying risk and opportunity factors related to corporate management activities. In other words, the perspective of value creation is reflected in business relationships. The fundamental purpose of ESG management is continuous business value creation and thorough management of investment risks and business transactions in contractual relationships. It is also a requirement of linked investors. The field that Korean companies are currently experiencing the most is the recognition that 'ESG information collection is necessary and maintenance must be prioritized' in investor IR and global sales and marketing departments, and the primary need for this is emerging. In addition, as the legal affairs office, environmental safety department, and human resources department, which conduct compliance management, carry out related tasks, clarity at the organizational level must precede in order to properly establish an information integration and management system. It covers the scope of securing new market opportunities such as management, disclosure and communication. Therefore, in regard to the newly emerging ESG management and response methods, it is necessary to review and implement it repeatedly so that sustainable exchange profits can be created by simultaneously managing non-financial risks as well as efforts to enhance corporate value for financial returns.

Mobile Commerce Success Factors: A Value-Focused Analysis (모바일 커머스의 성공 요인들에 관한 연구 : 가치 중심적인 분석)

  • 이정우;이승희
    • The Journal of Society for e-Business Studies
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    • v.8 no.4
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    • pp.129-149
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    • 2003
  • Explosive growth of mobile devices over the past years has greatly increased commercial interests in mobile commerce, but mobile commerce has not yet seen enough increase on demand side as anticipated. Despite the slow start, mobile commerce has a lot of potential from users' perspective. In order to make this potential a reality, businesses must focus on the values from their customers' perspective, not technical competencies. This research employed Keeney's(1992) value focused thinking approach and explore values of mobile commerce from actual users' viewpoint. In depth interviews were conducted with seventy Practical users of mobile commerce. Through an extensive focus group sessions, 748 statements obtained from actual users were classified into 18 categories of means objectives and 12 categories of fundamental objectives of mobile commerce. The means-ends network diagram of values seen in mobile commerce by actual users were presented and compared to typical electronic commerce diagram. Results suggest the mobile commerce needs to be handled differently from the traditional electronic commerce.

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A Study on the Effects of Service Quality Factors of Companion Animal Online Shopping Malls on Customer Satisfaction and Loyalty (반려동물 온라인 쇼핑몰의 서비스품질이 고객만족과 충성도에 미치는 영향에 관한 연구)

  • Lee, Joo-Heon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.4
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    • pp.179-193
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    • 2021
  • As pets such as dogs and cats have been accepted as family members and companions, calling them companion animals has become more and more common. As the trend of identifying companion animals with humans and treating them as members of a family is spreading, people are more concerned about food, health, and leisure for companion animals, searching for expensive products, and accelerating the growth of related businesses. This study collected data by conducting an online questionnaire targeting customers who visited online companion animal shopping malls. Data collected only for people who have purchased companion animals at least once in online shopping malls for companion animals were used for empirical analysis. Questionnaires from 205 people were collected, but a total of 198 copies were used for the analysis, excluding the questionnaire that gave an insincere response. The results are as follows. First, through exploratory factor analysis, it was confirmed that the service quality factors of the online shopping mall for companion animals consisted of four dimensions: communication-transaction, safe security, design, and information provision. Second, it was found that communication-transactions, information provision, design, and safe security, which are the service quality factors for companion animal online shopping malls, all have a significant positive (+) effect on customer satisfaction. Third, it was confirmed that customer satisfaction in online shopping malls for companion animals had a significant positive (+) effect on loyalty. Fourth, in the relationships between service quality factors (communication transaction, safety security, design, information provision) and loyalty of companion animal online shopping mall, it was confirmed that customer satisfaction has complete mediating effects.

A Study on Mobile SFA System Prototyping Using P2P LBS Service (P2P LBS를 활용한 모바일 영업자동화(SFA) 시스템에 관한 연구)

  • 박기호;정재곤;황명화
    • Spatial Information Research
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    • v.11 no.1
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    • pp.61-72
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    • 2003
  • LBS has attracted considerable attention with the spread of high performance mobile devices and the expansion of mobile business. Our study starts from the recognition of the problems associated with the current mobile Sales Force Automation(SFA) which is one of the application domain of LBS: they lack the capabilities such as an efficient sharing of information. This paper presents a technical framework in which the location information on the move and the mobile P2P service are utilized for the realization of truly mobile SF A platforms. Major contributions of our study include feasible prototyping of gCRM middleware via which the location-based services on the move are enabled, and a agent module involving the P2P service for mobile clients.

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The Impact of Fintech User and Product Characteristics on Intention for Continuous Use (핀테크의 사용자 특성과 제품 특성이 지속 사용의도에 미치는 영향)

  • Ha, Chang-Seung;Jung, Dae-Hyun
    • Informatization Policy
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    • v.23 no.4
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    • pp.59-75
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    • 2016
  • In the era of convergence, more attention is paid to development of Fintech which attempts for innovation of the financial transaction paradigm through ICT. Proliferation of Fintech to engraft finance-related services on mobile and ICT is found in various fields such as loans, investment and asset management in addition to simple payment or remittance services but awareness of consumers regarding the matter is rather low. Therefore, it is the time to conduct a research on various Fintech businesses. This thesis conducted an empirical research from the viewpoint of consumers to investigate influence on continuous use intention of Fintech users. From the user environment perspective, it was found that influence of innovativeness on satisfaction was not statistically significant. In case of the product characteristics, perceived risk did not have statistical significance on satisfaction.