• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.117-127
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• 2018

When we face an unexpected challenge, should we stick to the original plan and persevere through the series of challenges? Or shall we pivot and transform our original plan into something new by taking into account the newly acquired information? This perennial question of perseverance versus pivot as two competing problem-solving strategies has puzzled our every day lives. In this study, based on the large-scale, nation-wide survey on entrepreneurship, I found that individual entrepreneurial orientation, which consists of innovativeness, risk-taking, and proactiveness, promotes an individual's tendency to choose new problems to solve. Perseverance strategy was found to positively moderates the relationship between innovativeness and the tendency to choose new problems to solve, whereas the relationship between risk-taking and the tendency to choose new problems to solve was found to be negatively moderated by perseverance strategy. Pivot strategy, on the other hand, was found to be positively moderates the relationship between proactiveness and the tendency to choose new problems to solve. These findings contributes to the stream of individual entrepreneurial orientation research by empirically testing two competing problem-solving strategies of perseverance and pivot to show their interaction effects with entrepreneurial orientation. Also the findings of this study expand the potential outcome of entrepreneurial orientation by adding an individual's tendency to choose new problems to solve rather than what he or she has already experienced before.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.83-92
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• 2014

Weather condition is one of the crucial factors affecting travelers' mode choice. Nevertheless, there are numerous indefinite traffic phenomena under various weather conditions. This study was conducted to verify the hypothesis that transit riderships decrease as precipitation increases. To clarify the relationship between precipitation and transit ridership, a seemingly unrelated regression model was employed with data such as daily precipitation and daily transit riderships of 3 transit modes (bus, metro, and shuttle bus) collected in Busan for recent 24 months. The estimation results show that transit riderships decreased as the daily precipitation increased when the daily precipitation is greater or equal to 10mm/day (0.169%, 0.101%, and 0.172% reduction in bus, metro, and shuttle bus riderships, respectively, when the daily precipitation increased by 1mm). When comparing the impact of precipitation on transit riderships by modes using a cross-equation parameter restriction test, the decrease in metro ridership is relatively insensitive to the change in precipitation. However, the negative coefficient of precipitation in the metro ridership estimation model indicates that the transit users in Busan may alter their mode to taxi or automobile and/or may give up the trip itself in bad weather condition.

• Environmental and Resource Economics Review
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• v.15 no.3
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• pp.405-423
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• 2006

This paper develops theoretical model between economic growth and pollution as follows: First, emissions are generated from final good production process and technology accumulation. Second, pollution is directly connected with increase in final good production or in consumption, Third, no pollution abatement activity would be undertaken. Fourth, reproducible factors associated with labor and capital input are used in production function. We also test the existence of nonlinear Dynamics between economic growth and pollution using an exponential smooth transition autoregressive model(ESTAR). We find the presence of nonlinear dynamics between economic growth and pollution with a time series data for Seoul. This result shows indirectly that an inverted U relationship between air pollution and economic growth exists.

• The Korean Journal of Financial Management
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• v.11 no.1
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• pp.123-155
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• 1994

자본시장개방(資本市場開放)의 장기계획(長期計劃) 아래 추진된 증권시장의 개방은 국내경제를 한단계 높은 수준의 개방경제(開放經濟) 체제(體制)로 전환시키는 계기를 제공하는 혜택(惠澤)이 있는 반면에, 개방으로 유입되는 해외투자자금이 주식시장은 물론 거시경제지표(巨視經濟指標)에 부정적 영향을 미치는 경우를 배제할 수 없다. 부정적 현상으로 단기투기성(短期投機性) 자금에 의한 주가의 단기급등(短期急騰)이나 거품현상, 실물경제의 기반없는 해외부문통화(海外部門通貨) 증발(蒸發)에 따른 물가와 금리불안(金利不安), 그리고 원화의 수요증가(需要增加)로 인한 평가절상(評價切上) 압력으로 국제수지의 악화 등이다. 증시개방 이후 유입된 해외주식투자(海外株式投資) 자본(資本)이 거시경제 변수인 통화(通貨), 환율(換率), 그리고 주식시장(株式市場)에 미친 영향을 일반회귀분석, ARCH, VAR등의 모형을 통하여 연동적(連動的)인 유기관계(有機關係)를 실증적으로 분석한다. 분석 결과 통화량(通貨量)과 환율(換率)이 해외유입 자본으로 인하여 예상했던 부정적 효과를 나타냈다는 것을 입증(立證)할 근거(根據)는 찾을 수 없었다. 주가와 거래량은 해외주식 투자자금이 유인된 후 약 2주이내에 상승하였지만, 해외주식 투자자금의 유입원인(流入原因)은 주가(株價)와 거래량(去來量)의 상승세(上昇勢)로 인한 것이 아니라 주식시장의 위험도(危險度)와 잠재성(潛在性)에 비하여 주가(株價)가 저평가되어 향후 고수익율이 보장된다는 기대가 주요한 요인이라고 결론내릴 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.405-408
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• 2010

Cyber education community in the digital age is going on across all areas of knowledge accumulation rate of acceleration of the demand for retraining and lifelong learning can effectively accommodate. Therefore, new teaching methods in the future as consumer-driven 21st century is expected to settle into the main education system. However, to properly interact with people due to lack of feedback delay, reading and writing intensive courses is detrimental to the environment caused by a particular student, and Computer skills are based on computer-related technology to disadvantage poor students, and many have problems. In this paper, recent university education and cyber education requires a paradigm shift is required in an environment that factors affecting students' satisfaction were evaluated, and Improvement of cyber education will be studied.

• 한국노년학
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• v.41 no.4
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• pp.567-586
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• 2021

This study explored what latent classes appear according to the combination of Belief in a Just World (BJW) and social class of middle-aged adults, and examined whether there are differences in career transiton, perceiving a calling, and working as meaning in each class and what characteristics they have. 224 middle-aged people who experienced turnover through online and offline were surveyed and analyzed by Latent Profile Analysis. The participants were divided into 5 latent classes such as; 'Relative self-satisfaction', 'Social contentment', 'Relative deprived', 'Fairness trust' and 'Fairness distrust'. According to the results of MANOVA analysis to figure out if there are differences in career transitions, perceiving a calling, and working as meaning depending on latent classes, significant differences were appeared among latent classes. Finally, multinominal logistic regression analysis was conducted to examine whether demographic characteristics and 'decent work' affect the latent group classification. As a result, the more 'decent work', the higher the probability of belonging to the class with high BJW and social class. On the basis of the results of this study, the implications on the case conceptualization and counseling strategy for adults focusing on BJW and Social class in adults and future research were discussed.

• Journal of Korean Society of Transportation
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• v.30 no.6
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• pp.37-46
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• 2012

The number of traffic accidents caused by elderly drivers over the age of 65 has surged over the past ten years from 37,000 to 274,000 cases. The proportion of elderly drivers' accidents has jumped 3.1 times from 1.2% to 3.7% out of all traffic accidents, and traffic safety organizations are pursuing diverse measures to address the situation. Above all, connecting safety measures with an in-depth research on behavioral and physical characteristics of elderly drivers will prove vital. This study conducted an empirical research linking the driving characteristics and traffic accidents by elderly drivers based on the Driving Aptitude Test items and traffic accident data, which enabled the measurement of behavioral characteristics of elderly drivers. In developing the Influence Model, we applied the zero-inflated Poisson (ZIP) regression model and selected an accident prediction model based on the Bayesian Influence in regards to the ZIP regression model and the zero-inflated negative binomial (ZINB) regression model. According to the results of the AAE analysis, the ZIP regression model was more appropriate and it was found that three variables? prediction of velocity, diversion, and cognitive ability? had a relation of influence with traffic accidents caused by elderly drivers.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.409-416
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• 2005

Even though development paradigm of software has been changing very fast at the beginning of 21st Centuries, there are just few studies of quality and estimation metrics appropriate for Web environment. So in this study after analyzing the correlation between the size of the final code and property of objects, three industrial real world projects written in ASP have been used for deriving programs with high possibilities of faults. And then the size of programs was analyzed to correlate with the number of classes or the number of methods through linear regression. Among the web software with the complex architecture or server, client and un, type or form file written in Javascript for client has the high correlation and the number of methods is well correlated with the size of final code.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.1
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• pp.85-90
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• 2023

Data analysis methodology in the healthcare field is shifting from traditional statistics-oriented research methods to predictive research using machine learning. In this study, we survey various machine learning tools, and compare several programming models, which utilize R and Spark, for applying R, a statistical tool widely used in the health care field, to machine learning. In addition, we compare the performance of linear regression model using scala, which is the basic languages of Spark and R. As a result of the experiment, the learning execution time when using SparkR increased by 10 to 20% compared to Scala. Considering the presented performance degradation, SparkR's distributed processing was confirmed as useful in R as the traditional statistical analysis tool that could be used as it is.

• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.41-53
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• 2009

For 5 years and 6 months, ranging from January 2003 to June 2008, SPSS 12.0 Statistical Program was used to analyze the overall analysis, analysis of center line encroachment, analysis of signal violations, analysis of drinking while intoxicated, analysis of driving without license, analysis of two-wheel vehicle, analysis of pedestrian, analysis of safety equipment, analysis of traffic publicity or education and automobile registration accounts, and casualty of traffic accidents that are determined as having statistical implication based on the statistics available from the policy to take a look at traffic accident in the Daejeon area, and there were some meaningful results. With the proof that there is a certain level of ratio for the correlations between traffic control and traffic accident that the effect of traffic control has shown with certain time interval. The relationship of traffic control and the casualty of traffic accident has very low coefficient of correlations that it is not statistically noticeable that traffic control of the police has almost no effect in preventing traffic accident. This is a display of the fact that the conversion of direction for traffic safety measure undertaken to this point is rather urgent that there is a dire need of establishing the effective alternatives.