• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.681-683
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• 2016

최근, 공유경제는 일반인들에게 인식이 좋아지면서 급부상하고 있다. 그래서 다양한 분야에서 자신의 물건, 집, 재능 등을 공유하는 현상이 많아지고 있다. 대표적으로 "Airbnb"와 같이 집 주인이 여행이나 출장으로 집을 비워둘 때, 자신의 집을 공유하는 쉐어하우스가 가장 활발하게 거래되고 있다. 쉐어하우스를 통해서 집주인은 비어있는 집을 이용하여 수익을 낼 수 있고, 고객들은 저렴한 가격으로 여행지나 출장지에서 숙소를 이용할 수 있다. 기존 쉐어하우스 시스템에서 고객들은 매번 비어있는 집을 확인해야하고, 깁 주인은 고객들의 입주신청을 기다려야하는 불편함을 없애기 위해 웨이팅리스트를 기반으로 한 서비스 플랫폼을 구현하고자 한다. 이 플랫폼을 통해 고객들은 원하는 집에 입주대기를 신청하여 대기 순서를 부여받아 매번 집을 찾아야하는 불편함을 해소할 수 있을 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제9권10호
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• pp.137-145
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• 2022

This study aims to test the information content of sustainability reports issued by the most significant telecommunications companies operating in the Kingdom of Saudi Arabia (Stc, Zain, and Mobily), and their compatibility with the national sustainability standards issued by the Ministry of Commerce in the Kingdom of Saudi Arabia in light of the Kingdom's vision 2030, and its impact on the stock exchange indices of these companies. The event study methodology was used to study the impact of publishing sustainability reports on stock prices and the trading volume of these companies' shares in the Saudi stock market during the period from (October 2020 to March 2021). The results indicate a significant impact of the information contained in the sustainability reports on stock prices and trading volume in the stock market, and the importance of directing the company's management towards more disclosure of information about sustainability in its environmental, social, and economic aspects instead of focusing only on information related to the financial performance and economic activity of the company. This encourages the listed companies to disclose the sustainability of the financial reports and standardize the form in which these disclosures are prepared.

• 통합자연과학논문집
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• 제13권4호
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• pp.158-169
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• 2020

Modern people live in the age of plastics. It has been widely used due to its easy molding processing, mass production, and excellent durability. However, over-produced plastics for convenience cause plastic disasters and adversely affect the ecosystem. Since the COVID-19 outbreak, the use of single-use plastic waste due to the use of delivery services has increased. The COVID-19 pandemic has caused a plastic pandemic. Currently, domestic recycling policies depend only on recycling collection companies and market prices of recyclable resources. This paper confirms whether the outbreak of COVID-19 has affected the price of plastic waste. It also shows that the price of plastic waste is more unstable than metals with a high recycling rate. This urges businesses to share the cost of recycling on plastic waste, no longer being dependent on market prices for recyclable resources.

• 유통과학연구
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• 제10권2호
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• pp.7-17
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• 2012

The aim of this study is to empirically explore micro and macroeconomic factors affecting the Pakistani sugar industries and searching the energy potential of this industry, through the survey of literature. The empirical part has been explored by employing Vector Autoregression (VAR), Granger Causality tests and simultaneous equation models through quarterly data for the period of 1991q2-2008q4. The study also aims to devise policies for the development of sugar industries and identify its growing importance for the energy sector of Pakistan. Empirical tests applied on the domestic prices of sugar, domestic interest rates, and exchange rate, productive capacities of sugar mills, per capita income, world sugar prices on cultivable area and sugar production reveal very useful results. Results reveal an improvement of productive capacity of the sugar mills of Pakistan on account of increasing crushing capacity of this sector. Negative effect of rising wholesale prices on the harvesting area was also observed. Profit earnings of the sugar mills significantly increase with the rise of sugar prices but the system does not exist for the farming community to share the rising prices of sugar. The models indicate positive and significant effect of local prices of sugar on its volume of import. Another of the findings of this study positively relates the local sugar markets with the international prices of sugar. Additionally, the causality tests results reveal exchange rate, harvesting area and overall output of sugarcane to have significant effects on the local prices of sugar. Similarly, import of sugar, interest rate, per capita consumption of sugar, per capita national income and the international prices of sugar also significantly affect currency exchange rate of Pakistani rupee in terms of US$. The study also finds sugar as an essential and basic necessity of the Pakistani consumers. That is why there are no significant income and price effects on the per capita consumption of sugar in Pakistan. All the empirical methods reiterate the relationship of variables. Economic policy makers are recommended to improve governance and management in the production, stock taking, internal and external trading and distribution of sugar in Pakistan using bumper crop policies. Macroeconomic variables such as interest rate, exchange rate per capita income and consumption are closely connected with the production and distribution of sugar in Pakistan. The cartelized role of the sugar industries should also be examined by further studies. There is need to further explore sugar sector of Pakistan with the perspective of energy generation through this sector; cartelized sugar markets in Pakistan and many more other dimensions of this sector. Exact appraisal of sugar industries for energy generation can be done appropriately by the experts from applied sciences.

• 산업경영시스템학회지
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• 제23권54호
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• pp.37-44
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• 2000

This study is focused on confirmation of the usefulness of EVA through the empiritical test of it which is used in practical business as the new performance measures of the VBM(value based management). The results of test are as followed : We could confirm the possibility that the EVA per share could be used as the useful performance measure as it shows the positive relation with the stock prices. The explanatory power showed especially higher than any other cases if the EPS shows positive and the EVA per share shows positive. When we interpret this study, we must keep in mind that the magnitude of the EVA is very different from by organs of publication in our country. Accordingly, the study to confirm the usefulness of EVA must be basically limited. Therefore, to get the useful result through the study related with the EVA, the publication of the trustful EVA must be proceeded by unified standard.

• 경영과정보연구
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• 제9권
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• pp.65-80
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• 2002

As the growth of Internet business, many web sites have been developed their own Internet business strategies. Yet, many web sites have difficulties to make profit. In this paper, an economic model is developed to analyze web sites' quality and pricing strategies when they initiate their services as free services and develop advertising services and other charged services. By analyzing the economic model, optimal quality and prices was found. And by analyzing the optimal strategy, I found that web sites should properly decide their market share on initial customer. Finally, the importance of web sites' productivity to make profit is emphasized.

• KDI Journal of Economic Policy
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• 제14권2호
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• pp.3-27
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• 1992

우량공기업(優良公企業)의 경영성과(經營成果)를 국민(國民)에게 환원하여 중(中) 하위소득층(下位所得層)의 재산형성(財産形成)을 지원하고, 주식(株式)의 광범위한 분산보유(分散保有)로 자본시장(資本市場) 저변(底邊)을 확충(擴充)시켜 나가기 위하여 정부(政府)는 1988년에 처음으로 포항제철주식(浦項製鐵株式)을 국민주(國民株)로 보급하였고, 1989년에는 한국전력(韓國電力)의 주식(株式)도 국민주(國民株)로 보급하였다. 그리고 단계적으로 국민은행(國民銀行), 한국통신(韓國通信) 등 여러 공기업(公企業)의 정부보유(政府保有) 주식(株式)을 국민주방식(國民株方式)으로 중(中) 하위(下位) 저소득계층(低所得階層)에게 매각하는 계획을 구체적으로 세워 놓고 있으나, 1989년도 초반 이후 전반적으로 주가(株價)가 하락함에 따라 국민주(國民株) 보유자(保有者)들의 자산가치(資産價値)가 급격히 하락하자, 국민주방식(國民株方式)에 의한 저소득계층(低所得階層)의 재산형성정책(財産形成政策)은 더 이상 추진되지 못하고 있다. 그러므로 본고에서는 기왕에 이루어진 포항제철(浦項製鐵)과 한국전력(韓國電力)의 국민주(國民株) 현황(現況)을 살펴보고, 국민주방식(國民株方式) 민영화정책(民營化政策)의 경제적(經濟的) 효과(效果)와 문제점(問題點)을 분석(分析)하여 향후에 단계적으로 지속될 국민주방식(國民株方式)의 공기업민영화(公企業民營化) 정책집행(政策執行)에 도움이 되는 시사점을 찾고자 한다.

• 자원ㆍ환경경제연구
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• 제28권1호
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• pp.121-145
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• 2019

본 연구에서는 휘발유, 경유, 항공유를 대상으로 벡터 오차수정모형을 이용하여 원유가와 각 지역 석유제품가격의 상호 인과관계 여부와 지역 간 제품가격의 선행-후행 관계를 확인하였다. 그리고 이를 글로벌 석유 시장의 수급과 교역 흐름, 경쟁 강도와 연결해 해석하였다. 주요 분석 결과는 다음과 같다. 첫째, 원유가는 각 지역 휘발유, 경유, 항공유와의 장기 관계에서 약외생성을 보인 반면, 단기 관계에서는 원유가 역시 제품가격에 영향을 받는다는 사실을 확인하였다. 둘째, 유럽 경유 및 항공유 시장과 같이 다른 지역으로부터의 수입에 크게 의존하는 경우, 다른 지역 석유제품과의 장기 관계에서 약외생성을 보인다. 셋째, 글로벌 시장에서 차지하는 수요 비중이 큰 지역일수록 시장에 미치는 영향력이 커지면서 다른 지역 제품가격과의 관계에서 약외생성을 나타낼 가능성이 크다. 그러나 경유, 항공유 시장에서와 같이 수요 비중이 높은 지역이라도 역내 산업집중도가 낮아 경쟁 강도가 세고, 과잉 생산 해소를 위해 다른 지역으로의 수출에 크게 의존할 경우 가격 선도력이 떨어지면서 약외생성이 사라진다. 지역 간 석유제품가격 관계에 대한 본 연구 결과는 석유정제 기업과 상품 트레이딩 기업의 글로벌 석유시장에 대한 이해도를 높여, 관심 대상 지역의 석유제품가격 변화 예측 및 지역별 자산 포트폴리오 구축에 중요한 정보를 제공할 것으로 기대한다.

• 동아시아경상학회지
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• 제6권3호
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• pp.16-23
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• 2018

Purpose - 2013 to 2014 was a transitional situation in which China's Smartphone industry was fluctuating. So in this paper, we will look at the strategies and achievements of Xiaomi, a company that has emerged in this situation and topped the market share. In particular, the purpose of this paper is to analyze why Xiaomi, which is considered a copycat, was able to succeed in the smartphone market four years after entering the market and analyze its strategy. Research design and methodology - Various secondary data are to be used for this study. Using various newspaper articles as well as corporate reports, the company analyzes the transitional situation from 2013 to 2014 and the competitors together. Through these analyses, Xiaomi's strengths are selected objectively and analyzed to identify the factors that made Xiaomi successful. Results - After China's transitional shift in 2014, Xiaomi brought about a 152.3 percent share change over the previous year. In addition, it surpassed Samsung Electronics, which has been the industry's No. 1 player, in 2014, and achieved the No. 1 ranking with a 16 percent share. Xiaomi Mi4's phone had a strong point of maintaining low price while being loaded with high performance. Conclusions - Xiaomi's success is because its price and performance was excellent. Xiaomi's Mi4's specifications were not far behind its competitors', but it was very cheap compared to its competitors' prices. They also valued software and used talent-oriented human resource strategies. Plus, it created the 'Mifan' culture successfully and benchmarked the strengths of its competitors smartly.