• Journal of Technology Innovation
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• v.14 no.1
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• pp.31-66
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• 2006

The country with a relative abundance of human capital conducts relatively more R&D in the steady state than its partner. This country acquires the know-how to produce a relatively wider range of innovative goods. High technology comprises a large share of the national economy in the human-capital rich country and real output growth is faster. This prediction would seem to accord weakly with empirical observation of Korean economy.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.307-326
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• 2003

In Korea, as the state has played a vital role for industrial development, the location and development of industrial complexes have not been merely decided by economic factors but political and social factors as well. The location of industrial complexes in Chonbuk province has not been decided by industrial enterprises to be located there, but by investment strategies of the state. In the early stage of industrialization, Chonbuk could not attract a large-scale major complex because it had relatively inferior infrastructure for industry and uneasy access to overseas export markets, as compared to the capital region or the Southeast region of the country, and it has been left behind as a periphery in the national industrial system. Since 1980, the spatial policies for lessening regional disparities had much contributed to the development of industrial complexes in this province. The industrial complexes leading to the development of manufacturing activities in this region have also great influenced on structural changes of manufacturing as well as changes in the structure of the regional economy. Especially, capital goods manufacturing tends to increase in this region as the development of sectors required relative higher skill and technology mainly occurs in these complexes. And where the large-scale industrial complexes are located greatly influences the locational patterns of manufacturing in this province. The patterns of the industrial complexes in this region have concentrated in Chonju, Iksan, and Kusan, which are the largest cities in this province. Given these three cities to be very closely proximate, it seems to be easy to build network between them to develop the manufacturing activities in the near future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.1
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• pp.209-214
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• 2009

Due to the high level of information supportive function of Internet, the management environment change is accelerating. The Patients are able to have the chances of Hospital- and Doctor-shopping. So the Customer Relationship Management skill or Patient -oriented management is becoming one of the important management method of Hospital. To adapt these trend, many Hospital invest the money and efforts for the implementation of Hospital CRM system. But the Performance of HCRM is not satisfactory for the investor from many reasons. In this paper we try to find out which kinds of factors have the Influences on the Implementation of HCRM, and how is the relation between these factors. We use the Structural Equation Model to clarify these relationships. The result of this paper will contribute in the decision making of the implementation of HCRM in the field, and in providing the knowledge base.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2005.09a
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• pp.91-119
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• 2005

오타와 헌장에 따르면 건강증진은 건강형평성을 성취하는 것이다. 건강격차를 감소시키고, 모든 사람들이 건강잠재력을 달성할 수 있도록 동등한 기회와 자원이 제공되어야 한다. 또한 각 개인들은 자신의 건강에 대한 결정요인들에 대한 통제능력을 가져야 한다. 미국의 조기사망은 40%가 행동양식에 의하여, 30%가 유전적인 문제로, 15%가 사회적 환경에 의하여, 10%는 의료적 치료의 부족으로, 그리고 5%는 환경위해 물질에 대한 노출로 발생한다. 건강불평등을 발설시키는 사회적 요인으로는 경제적 요인을 들 수 있다. 이러한 요인으로 야기되는 건강불평등의 문제를 해결하여 건강형평성을 달성하기 위해서는 절대적 목표들과 평등관련 목표들이 모두 필요하다. 건강형평성은 인구집단의 건강과 함께 향상되는 것으로 나은 건강상태에 있는 사람들의 건강을 악화시키면서 건강형평성을 달성하는 것은 아니다. 각자의 관심이 형평성을 어떻게 규정하는가에 영향을 미친다. 혜택을 받은 사람들은 성과/투입의 정의를 선호하며, 소외계층은 똑같은 성과 또는 요구에 기반한 정의를 선호한다. Healthy People 2010은 미국의 국가적 예방체계를 의미하며, 가장 중요하며 예방 가능한 건강위협들을 파악하고 이러한 위협들을 감소하기 위한 목적들이 설정되어 있다. 궁극적인 목적은 건강한 삶의 질적인 면과 양적인 측면을 향상시키는 것이며, 건강불평등을 제거하는 것이다. 그러나 미국이 유럽의 국가들에 비해서 사회 프로그램에 대한 투자가 적은 이유는 재분배는 소수인종만을 위한 것이라는 믿음과, 우리는 개방되고 공정한 사회에 살고 있기 때문에 가난하다는 것은 가난한 사람들 자신들의 잘못으로 인한 것이라는 믿음 그리고 재분배를 방지하는 정치체계 때문이다. 국가기관인 CDC의 예방연구센터(Prevention Research Centers)는 지역사회 파트너들과 함께 건강증진, 질병예방, 그리고 질병과 상해로 인한 합병증을 관리하게 위한 효과적인 예방 전략을 개발하고 있다. 예방연구센터의 프로그램들은 지역사회 기반 참여연구와 소외된 계층에 중점을 두며, 다학제 간 접근방법을 활용하고, 교육기관, 공공보건기관 그리고 지역사회의 파트너들 간의 네트웍을 형성을 통한 협력관계를 강조하고 있다. 지역사회 위원회가 구성되어 있으며, 또한 근거중심 프로그램을 개발하고 있다. 이들은 건강 결정요인에 관한 연구, 형성적 연구, 개입 프로그램 및 프로그램의 확산에 관한 연구를 진행한다. UC Berkeley의 가족/지역사회 보건센터(Center for Family & Community Health)는 1993년에 설립되었다. 사업의 대상이 되는 주요 지역사회는 한국교민사회이며, 한국교민사회 자문위원회(Korean Community Advisory Board, KCAB)가 구성되어 있다. 1993년부터 2003년까지는 'Health is Strength' 사업이 시범연구사업으로 진행되었는데, 그 내용은 유방암과 자궁경부암 검진 프로그램이었다. 2003년부터 2009년까지 진행될 'Quitting is Winning'이라는 두 번째 시범연구사업은 남성들의 금연에 중점을 둔 사업이다. 'Health is Strength'는 아시아 보건서비스 및 한국교민사회 자문위원회가 함께 협력하여 진행된 사업으로, 주요 목표는 18세 이상 여성의 자궁암 조기 검진(Pap test)과 자가 유방검진 실천을 증가시키는 것이며, 50세 이상여성의 유방 임상검사와 유방 X선촬영 비율을 증가시키는 것이었다. 한 지역의 카운티에 거주하는 한국 여성들은 4년간의 개입프로그램의 대상이 되었으며, 이들을 대상으로 횡단적인 전화조사를 3번(사전, 중간, 사후)실시하였다. 개입 프로그램은 교회에서 워크샵 개최, Tell-A-Friend Form 작성하기, 포스터 및 책자 발행, 신문광고 등과 함께 자궁암 조기 검진(Pap test)과 유방 X선 촬영권을 무료로 제공하는 것으로 구성되었다. 'Quitting is Winning'은 지역사회 기반 참여 연구모형으로 한국교민사회 자문위원회는 흡연을 1순위의 사업으로 선정하였고, 근거에 기반한 금연 프로그램에 대한 연구들을 검토하여, 기존의 보편적 방법이 아닌 인터넷을 활용하는 프로그램을 진행하는 것으로 결정되었다. 이는 무작위 임상실험으로 연구대상으로 미국에 거주하는 한국인 남성흡연자 2300명을 모집하였다. 이들의 1/2은 실험군인 인터넷 프로그램 집단에, 또 다른 1/2은 대조군인 인쇄책자 집단에 무작위 할당되었다. 12개월 동안 11번의 진단이 인터넷을 통하여 진행되었으며, 참여와 참여유지에 대한 금전적인 보상이 제공되었다.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.23-35
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• 2016

Firms should seek greater profits and corporate growth through new businesses. New businesses contribute realizing creative economy that creates good jobs, and expanding the company by securing new markets and creating new profits and growth. However, new business is risky management decision-making to have a high failure rate because it involves the adaptation of new business environment and the burden of new investments, including the uncertainty of success in business. Therefore, innovation strategies play important roles for the new business entry, using product innovation, process innovation, business model innovation, disruptive innovation, and strategic innovation, etc. and company will get huge economic results by pushing them into successful business. It is essential that innovation strategy and IT development strategy along with business strategy of a firm are linked, and their strategic alignment is considered to be a critical success factor for new business success. Hyundai Heavy Industries(HHI) pursued marine engine business for the development of precision machinery industry and shipbuilding industry of Korea, and the company recognized the importance of new business strategy, innovation strategy, and IT strategy inter-linked, and pushed strategic alignment boldly. As a result, HHI won the competition in European and Japanese engine manufacturers and climbed into the world's largest engine manufacturer. This study suggests investigating and analyzing a case that HHI succeeded in marine engine business expansion using strategic innovation strategy as a way of the introduction of CNC machine tools and the development of HEMAPT system.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.69-85
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• 2016

Successful relationship with loving partners is one of the most important factors in life. In psychology, there have been some previous researches studying the factors influencing romantic relationships. However, most of these researches were performed based on statistical analysis; thus they have limitations in analyzing complex non-linear relationships or rules based reasoning. This research analyzes commitment and persistence in heterosexual involvement according to styles of loving using a datamining technique as well as statistical methods. In this research, we consider six different styles of loving - 'eros', 'ludus', 'stroge', 'pragma', 'mania' and 'agape' which influence romantic relationships between lovers, besides the factors suggested by the previous researches. These six types of love are defined by Lee (1977) as follows: 'eros' is romantic, passionate love; 'ludus' is a game-playing or uncommitted love; 'storge' is a slow developing, friendship-based love; 'pragma' is a pragmatic, practical, mutually beneficial relationship; 'mania' is an obsessive or possessive love and, lastly, 'agape' is a gentle, caring, giving type of love, brotherly love, not concerned with the self. In order to do this research, data from 105 heterosexual couples were collected. Using the data, a linear regression method was first performed to find out the important factors associated with a commitment to partners. The result shows that 'satisfaction', 'eros' and 'agape' are significant factors associated with the commitment level for both male and female. Interestingly, in male cases, 'agape' has a greater effect on commitment than 'eros'. On the other hand, in female cases, 'eros' is a more significant factor than 'agape' to commitment. In addition to that, 'investment' of the male is also crucial factor for male commitment. Next, decision tree analysis was performed to find out the characteristics of high commitment couples and low commitment couples. In order to build decision tree models in this experiment, 'decision tree' operator in the datamining tool, Rapid Miner was used. The experimental result shows that males having a high satisfaction level in relationship show a high commitment level. However, even though a male may not have a high satisfaction level, if he has made a lot of financial or mental investment in relationship, and his partner shows him a certain amount of 'agape', then he also shows a high commitment level to the female. In the case of female, a women having a high 'eros' and 'satisfaction' level shows a high commitment level. Otherwise, even though a female may not have a high satisfaction level, if her partner shows a certain amount of 'mania' then the female also shows a high commitment level. Finally, this research built a prediction model to establish whether the relationship will persist or break up using a decision tree. The result shows that the most important factor influencing to the break up is a 'narcissistic tendency' of the male. In addition to that, 'satisfaction', 'investment' and 'mania' of both male and female also affect a break up. Interestingly, while the 'mania' level of a male works positively to maintain the relationship, that of a female has a negative influence. The contribution of this research is adopting a new technique of analysis using a datamining method for psychology. In addition, the results of this research can provide useful advice to couples for building a harmonious relationship with each other. This research has several limitations. First, the experimental data was sampled based on oversampling technique to balance the size of each classes. Thus, it has a limitation of evaluating performances of the predictive models objectively. Second, the result data, whether the relationship persists of not, was collected relatively in short periods - 6 months after the initial data collection. Lastly, most of the respondents of the survey is in their 20's. In order to get more general results, we would like to extend this research to general populations.

• Journal of the Korea Institute of Building Construction
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• v.19 no.1
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• pp.67-76
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• 2019

The domestic construction industry is changing according to its preference for demand and supply along with urbanization and economic development. Accordingly, initial risk assessments is more important than before. In particular, demand for lease-based investment products such as commercial and office buildings has surged as a substitute for financial products due to low interest rates of banks. Therefore, the objective is to suggest a basic study on financial analysis model development by applying optimization method in residential officetel. To achieve the objective, first, the previous studies are investigated. Second, the causal loop diagram is structured based on the collected data. Third, the system dynamics method is used to develop cost-income simulation and optimization model sequentially. Finally, the developed model was verifed through analyzing a case project. In the future, the proposed model can be helpful whether or not conduct execution of an officetel development project to the decision makers.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.49-62
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• 2018

The purpose of this study is to develop an assessment index for the selection of promising start-ups, which will enhance the efficiency of program that support start-ups. In order to develop assessment models for selecting start-ups, three major research steps were conducted. First, this study attempted to theoretically redefine the assessment index from the perspective of the Balanced Scorecard (BSC) through a literature review. Second, major assessment index were derived using Delphi technique for experts in start-up areas. Third, weights were derived by applying AHP technique to calculate the importance of each index. The results of this study are summarized as follows. First, this study attempted to apply the assessment model for selecting start-ups from the Balanced Scorecard (BSC) view through the previous study review. Second, the final major questions were derived with sufficient opinions collected and structured survey of leading start-up experts in areas related to research subjects and elicited the most representative questions. Third, the results of applying the weights of the main selected assessment index, commercialization viewpoint is the most priority, followed by market view, technology development viewpoint, and organizational capability viewpoint. In the middle section, th ability to make products in the commercialization viewpoint, market competitiveness in the market, product discrimination capacity in the technology development perspective, and the ability of the entrepreneur in the organizational capacity perspective were important. Overall important items were found to be in the order of the capabilities of entrepreneurs, market competitiveness, product fire capability, and product discrimination. The importance of small items was highest priority for comparative excellence of competing products, and the degree of marketability, capacity of entrepreneurship, ability to raise capital, desire for entrepreneurship, and passion were shown. The results of this study presented a conceptual alternative to the preceding study on the development of existing selection assessment indexes. And it provides meaningful and important implications as an attempt to develop more sophisticated indicators by overcoming the limitations of empirical research on only some of the evaluation metrics.

• (The) Korean Journal of Advertising
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• v.27 no.4
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• pp.71-90
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• 2016

Managers of firms often wonder whether advertising expenditure is a mere expense or an investment with foreseeable future returns. When top management makes a decision on the level of advertising expense, it must consider whether an increase in advertising spending will positively affect brand loyalty and the increased brand loyalty will positively affect profitability and firm value. We investigate the industry-specific effects of advertising spending on marketing and the effect of loyalty on financial performances using top companies in Korea, specifically, 184 firms' data from year 1998 to 2014. The empirical results of a fixed effect model indicate that the effects of advertising on customer satisfaction index and loyalty on the firms' financial performance are positive. In service industry, unlike manufacturing industry, advertising has a significantly positive effect Brand Loyalty. In addition, Brand Loyalty had positive impacts on ROA and ROE as profitability index, and Tobin's q, a market-value index. The research results suggest that advertising in service industry should be considered as customer satisfaction investment and the increased Brand Loyalty as a profit for present and a business investment for the future respectively.