Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.6
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pp.141-158
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2022
This study identifies related factors by analyzing the effects of the psychological characteristics and competency factors of traditional market merchants on business performance, and at the same time verifies the moderating effect of government support policies. The research focus was on verifying the causal relationship. This study was conducted targeting the representative traditional market merchants in the metropolitan area who have experience in traditional market specialization projects or are currently in the process of specialization projects. An empirical study was performed based on the collected data. The analysis results are as follows. First, it was found that self-esteem as a psychological characteristic factor of merchants, customer management competency as merchant competency, and informatization capability had a significant positive (+) effect on financial performance among business performance. Second, as a result of examining the moderating effect of government support policies, it was found that product capability had a significant positive (+) effect on financial performance among business performance. It was found that self-esteem and product competency had a significant positive (+) effect on the will to continue business among business performance. The practical results of this study are the research papers to measure the business performance of traditional market merchants using the government support policy as a moderating variable, using the psychological characteristics and competency factors of traditional market merchants as independent variables. For this purpose, it will be positively evaluated that the psychological characteristics of merchants and merchant competency factors affect business performance, and that meaningful research results are derived by analyzing the moderating effect of government support.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.16
no.6
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pp.243-253
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2016
Company strengthen various information security policy and activity in order to protect important information assets that the company has been dealing with and prevents information security accidents such as personal information spill. However, some study said these policy and activity increase employee's information security stress and still information security accidents by employees have happened so far. Therefore, this study will review preceding theories and studies used in many various fields including Information Security areas needed to explain human's behavioral intention and determinants and summarize characteristic factors that have influence on control of human's behavioral intention in the results of the above theories and studies. Secondly, this study will implement exploratory analysis on characteristic factors perceived by employees that has been stemmed from various company's information security policy and activity in order to increase employee/'s information security compliance intention under the its surrounding security circumstance. Thirdly, this study will fulfil multiple-regression analysis in order to identify cause-effect relationship between employee's perceived information security stress and employee's perceived characteristic factor. Finally, this study will explain casual relationship with same analysis methods between information security stress and information security compliance intention based on results of the survey conducted on the financial firm's employees with same analysis methods.
Korean Journal of Construction Engineering and Management
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v.17
no.5
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pp.13-21
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2016
Insolvency of construction companies that play the role of main contractors can lead to clients' losses due to non-fulfillment of construction contracts, and it can have negative effects on the financial soundness of construction companies and suppliers. The construction industry has the cash flow financial characteristic of receiving a project and getting payment based on the progress of the construction. As such, insolvency during project progress can lead to financial losses, which is why the prediction of construction companies is so important. The prediction of insolvency of Korean construction companies are often made through the KMV model from the KMV (Kealhofer McQuown and Vasicek) Company developed in the U.S. during the early 90s, but this model is insufficient in predicting construction companies because it was developed based on credit risk assessment of general companies and banks. In addition, the predictive performance of KMV value's insolvency probability is continuously being questioned due to lack of number of analyzed companies and data. Therefore, in order to resolve such issues, the Bayesian Probabilistic Approach is to be combined with the existing insolvency predictive probability model. This is because if the Prior Probability of Bayesian statistics can be appropriately predicted, reliable Posterior Probability can be predicted through ensured conditionality on the evidence despite the lack of data. Thus, this study is to measure the Expected Default Frequency (EDF) by utilizing the Bayesian Probabilistic Approach with the existing insolvency predictive probability model and predict the accuracy by comparing the result with the EDF of the existing model.
The propose of study is to examine the characteristics of companies with high possibility to form an internal control weakness using forecasting model. This study use the actual listed/unlisted companies' data from K_financial institution. The first conclusion is that discriminant model is more valid than logit model to predict internal control weak companies. A discriminant model for predicting the vulnerability of internal control has high classification accuracy and has low the Type II error that is incorrectly classifying vulnerable companies to normal companies. The second conclusion is that the characteristic of weak internal control companies have a low credit rating, low asset soundness assessment, high delinquency rates, lower operating cash flow, high debt ratios, and minus operating profit to the net sales ratio. As not only a case of listed companies but unlisted companies which did not occur in previous studies are extended in this study, research results including the forecasting model can be used as a predictive tool of financial institutions predicting companies with high potential internal control weakness to prevent asset losses.
Product characteristic approach and hedonic method were explained and applied to demand behavior of housing for 360 households sampled from four districts of Seoul. Th major findings are: 1) Housing prices are determined by housing characteristics, i.e., basic structure, interior space, interior quality, and neighborhood quality. 2) as income increase , the demand for basic structure, interior space, interior of quality, and neighbor hood quality increases. As compared to the counties that have advanced housing financial systems, income elasticity form housing characteristics was low. 3) householder's educational level has insignificant effects on the demand for neighborhood quality. 4) the housing need of family is different to a family life cycle. In the first stage, the increase of income enhances the demand for basic structure. interior space, and interior quality, but inversed with neighborhood quality. In the second and third stages, the demand for basic structure, interior space, and interior quality increases as the income increases. 5) It is predicted that the larger the family size, the more housing space is required. But in the low-income group, an increase in family size results in a decrease in the demand for interior space because expenses for food and education are indispensable ones. In the middle -income group the demand for interior space, interior quality increases as the family size increases, In the high-income group, the larger the family size the more interior quality is demanded. As mentioned above, the demand for housing is derived form characteristics and the demand behavior far housing characteristics is varied with individual household's characteristics. Therefore, the fact that different housing needs according to various income groups should be considered in housing policy.
The purpose of this study was to validate abuse outcomes included Nursing Outcomes Classification(NOC) developed by Johnson and Maas at the University of Iowa. A sample of 71 nurse experts working in university affiliated hospitals participated in this study. They were asked to rate indicators that examplified the outcomes on a scale of 1 (indicator is not at all characteristic) to 5(indicator is very characteristic). A questionnaire with an adaptation of Fehring's methodology was used to establish the content validity of outcomes. The results were as follows: 1. All indicators were considered to be 'supporting' and no indicators were considered to be 'nonsupporting'. 2. 'Abuse Recovery : Emotional' attained an OCV score of 0.780 and was the highest OCV score among abuse outcomes. The highest indicator was 'demonstration of positive interpersonal relationship'. 3. 'Abuse cessation' attained an OCV score of 0.739 and was the lowest OCV score among abuse outcomes. The highest indicator was 'physical abuse has ceased'. 4. 'Abuse Protection' attained an OCV score of 0.743 and the highest indicator was 'plans for avoiding abuse'. 5. 'Abuse Recovery: Financial' attained an OCV score of 0.762 and the highest indicator was 'court-ordered benefits received'. 6. 'Abuse Recovery: Physical' attained an OCV score of 0.767 and the highest indicator was 'resolution of physical health problem'. 7. 'Abuse Recovery: Sexual' attained an OCV score of 0.768 and the highest indicator was 'expression of confidence with gender identity'. More outcomes need to be validated and outcomes sensitive to Korean culture need to be developed.
The Journal of Korean Institute for Practical Engineering Education
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v.3
no.1
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pp.119-126
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2011
This study analyzed the effect of the competency factors (resources and education competency)on the performance of university-industry cooperation by characteristic of universities through multiple regression model using 202 datasets empirically. The input factors variables used in a research model were characteristics of universities (research oriented/education-oriented universities and public/private universities) and competency factors (resource competency and education competency) of university-industry cooperation. The performance factors of university-industry cooperation were composed of the outcomes of intellectual knowledge asset, technology transfer, spin-off and financial profits. The empirical results show that research-oriented universities and public universities produce a uniter performance of university-industry cooperation than education-oriented universities and private universities, respectively and the competency factors of university-industry cooperation such as resource and education competency also have a positive effect on the performance of university-industry cooperation.
Park, Jun-Tae;Kim, Hyun-Jin;Kim, Jung-Yeol;Jang, Il-Jun;Lim, Joon-Bum
Journal of the Korean Society of Safety
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v.27
no.3
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pp.153-160
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2012
Various social problems such as traffic congestion, car accidents and environmental problems(air pollution, noises etc.) have been happening in the Seoul metropolitan area that has the car oriented traffic system providing cars continuously. Along with this, the financial burden caused by current oil price anxiety made paradigm shift from caroriented to public transportation-oriented. Its typical example is an arterial branch bus system changing(bus lane through the center of main road) started in Seoul in July, 2004. But study on safety analysis of bus lane and characteristic of accidents are not sufficient enough to now. The bus lanes are expanded to provide roads for better traffic operation and accidents between buses and pedestrians or ordinary vehicles are considered main problems. This study divided each bus route of median bus lane(bus-only lane through the center of main roads) and bus lane at roadside by intersection and collected and analysed data about influence variables of bus accidents chosen in each section. We constructed a logistic model using collected data. As a result, bus lane at roadside are used by both buses and other kinds of vehicles differently from median bus lane and showed such characteristic in accident influence. Therefore access management to factors causing conflict and improvement of operation management are required. In case of median bus lane, the more buses moving general vehicle lane and traffic volume of section were, the more accidents happened. In case that stop line of center lane is not backward, view blocking of vehicles turning left caused accidents.
In the existing ship sales market, prices determined based on the prices of similar ship types that recently traded. ince the 2008 financial crisis, ship prices have fluctuated, and ship price criteria have become ever more necessary to the imminent value of the ship. Therefore, this research used the hedonic price model to estimate imminent values of ships. In this study, the influence on ship prices was analyzed by the value of each characteristic and an estimated functional formula was. Out of the four models suggested by the hedonic price model, an optimal model was selected with variance inflation factors and a stepwise selection. For this, the influence of determinants of ship prices was analyzed based on actually traded ships and characteristic data. The selected model s the Log-Line model; as a result of regression analysis, eight variables, including DWT, Age, Market Value, Short-Term Charter, Long-Term Charter, Enbloc, Special Survey Due and Builder were to affect the ship price model. This model is expected to be useful for objective and balanced ship price evaluation.
The role of local decentralization and balanced regional development becomes important due to the concentration of population due to urbanization, and the development of tourism contents in local governments is actively being attempted. However, this is largely due to quantitative growth, and it does not offer tourist content that offers a different experience while utilizing regional characteristics. This means that it is important to develop programs and contents that emphasize the identity of the region by cultivating local characteristics and build a different image. However, most of the small regions where characteristic resources are difficult to find have a problem that it is difficult to develop different programs and contents due to relatively few development opportunities and financial constraints. In this study, it was considered that it is effective to analyze characteristic features of the region and utilize the possessed assets as much as possible. Therefore, we propose a service design process that effectively supports ecotourism, one of the regional revitalization plan using local eco - assets. In the process, Venn Diagram Position and Context Map methodology was developed and verified through Sutonggol Observation Path.
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