• Journal of Technologic Dentistry
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• v.34 no.4
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• pp.381-390
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• 2012

Purpose: The goal of this study is to investigate the correlation of orthodontic treatment with self-esteem and how orthodontic treatment has an effect on university student's self-esteems by investigating and analyzing the difference in self-esteem of each general characteristic and the difference in self-esteem according to the existence or nonexistence of malocclusion and orthodontic treatment for adult university students. Methods: This study conduced a survey for 420 university students including dental related department, department of health and department of non-dental health in two universities located in Taegu, Gyeongbuk-do province from May 15, 2012 to May 30, 2012, and in 420 questionnaires of the investigated 420 target students, total 400(95.2%) questionnaires except for the questionnaires with falsely or erroneous responses were used for study analysis. Results: In the relations of general characteristic with self-esteem, for self-esteem by each gender, male student showed higher, for self-esteem by residential area, the university student residing at metropolitan area showed higher, for self-esteem by financial status, high class and middle class students in home financial status showed higher, for self-esteem by face shape, the student with triangular face shape showed higher, and in the relation of self-esteem with orthodontic treatment, the university student who is getting orthodontic treatment showed higher self-esteem statistically significantly. Conclusion: For gender, male university student, for residential area, the university student residing at metropolitan area, the high class university student in financial status, the university student with triangular face shape, and the university student who is getting orthodontic treatment showed statistically significantly higher self-esteem.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Knowledge Management Research
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• v.7 no.2
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• pp.97-122
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• 2006

The purpose of this study is to investigate the relationships between knowledge sharing antecedents and knowledge sharing intention in a financial institute and knowledge sharing behavior, knowledge sharing behavior and knowledge sharing performance. This paper first reviews the influencing factors of knowledge sharing and presents the research framework on knowledge sharing with categorized four factors such as structural factors, relational factors, personal and task characteristics. Based on a research framework, survey analysis was conducted with financial institution members. This paper examined the relationship between antecedents of knowledge sharing and knowledge sharing intention, knowledge sharing intention and knowledge sharing behavior. Also it analyzed the relationship between knowledge sharing behavior and the knowledge sharing performance. As a result, the paper suggested that the knowledge sharing intention consist of two dimensions. The first is voluntary knowledge sharing intention. The second is solicited knowledge sharing intention. The former has a significant positive relationship with the innovativeness, communication, personal creative propensity and perception of the knowledge sharing. The later has a significant positive relationship with the task interdependence but has a significant negative relationship with the knowledge sharing evaluation system. Knowledge sharing intention has a significant positive relationship with the knowledge sharing behavior. Also knowledge sharing behavior has a significant positive relationship with the knowledge sharing performance. Finally, the implications and limitations of the study are discussed.

• International Commerce and Information Review
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• v.9 no.2
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• pp.41-64
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• 2007

A life insurance industry's market is reaching a state of saturation recently, and the competition is as time goes by intense among the non-life insurance industry. Consequently, the insurance companies must grope a new source of revenue and develop a new business model for a stability growth. At the forked road, the insurance companies must group the existing and new customers in order to find the royal customers, and develop a new service with them. Accordingly, it is the time to study the advance of PB field and the royal customer management that will maintain and expand the new relations with them. Besides, the PB was the service to begin in needs of the specific group, but now it is regarded as a new source of high profit in the age of universal financial service among the financial circles. As a consequence, the PB marketing is introduced in haste, and such trend seems to be continued. Therefore, the plans that help the domestic insurance company reflect the characteristic of the insurance and expand the scope of business into the scope of property management according to the needs of customers under a universal financial service trend will be studied.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.103-119
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• 2020

Purpose - This study aimed to clarify the effects of CEO characteristics and marketing activities on management performance of fashion corporate by using financial statement. Design/methodology/approach - This study collected a sample of total 170 companies that can obtain the corresponding data among fashion manufacturing companies listed on KOSPI. The data of the financial statements reported from 2011 to 2018 were analyzed. Correlation analysis and multiple regression analysis were conducted. Findings - First, the more the number of CEO and the younger the CEO, the more employee welfare and training expenditures of internal marketing. The age of the CEO had a negative effect on all external marketing activities. The CEO number had a negative effect on sales promotion and advertising expenditures, but a positive effect on entertainment expenditure of external marketing. Second, as a effect of marketing activities on management performance, the welfare and training expenditures of internal marketing and entertainment expenditure of external marketing had a positive effect but sales promotion expenditure of external marketing had a negative effect on management performance. Research implications or Originality - Marketing activities that consider the differentiated factors of fashion corporate are necessary. Also, the objective accounting information can provide practical information for fashion industry.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.107-122
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• 2022

Purpose - This study aims to develop machine learning models to predict administrative issue designation in KOSDAQ Market using financial data. Design/methodology/approach - Employing four classification techniques including logistic regression, support vector machine, random forest, and gradient boosting to a matched sample of five hundred and thirty-six firms over an eight-year period, the authors develop prediction models and explore the practicality of the models. Findings - The resulting four binary selection models reveal overall satisfactory classification performance in terms of various measures including AUC (area under the receiver operating characteristic curve), accuracy, F1-score, and top quartile lift, while the ensemble models (random forest and gradienct boosting) outperform the others in terms of most measures. Research implications or Originality - Although the assessment of administrative issue potential of firms is critical information to investors and financial institutions, detailed empirical investigation has lagged behind. The current research fills this gap in the literature by proposing parsimonious prediction models based on a few financial variables and validating the applicability of the models.

• 산업혁신연구
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• v.34 no.2
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• pp.1-30
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• 2018

This study analyzes empirically the effects of financial cash flows and operating cash flows on R&D investment of firms listed on Korea Exchange. The main results of this study can be summarized as follows. Financial cash flows have a larger positive effect on R&D investment than operating cash flows do, implying that firms use more financial cash flows than operating cash flows for financing R&D investment that has information asymmetry problems. This results suggest that improving financial cash flows enhance R&D investment by increasing the predictability of cash flows and decreasing the volatility of cash flows by decreasing financial leverage. Financially constrained firms use much more financial cash flows than operating cash flows for financing R&D investment that has information asymmetry problems. Financial constraints are measured by proxy variables such as firm size and Hadlock and Pierce's(2010) HP index. This results suggest that improving financial cash flows is more important than operating cash flows for financing R&D investment of financially constrained firms. Moreover, firms use more financial cash flows for financing asset-counted R&D investment than for financing cost-counted R&D investment. Asset-counted R&D investment is counted in intangible assets on the Statement of Financial Position, whereas cost-counted R&D investment is counted in cost on the Income Statement. In conclusion, even after controlling for adjustment costs associated with R&D investment and the endogeneity problems of cash flow variables as well as other characteristic variables, the results show that financially constrained firms use much more financial cash flows than operating cash flows for financing R&D investment that has information asymmetry problems. Overall, this finding suggests that information asymmetry and financial constraints problems are likely to co-exist in financing R&D investment. This finding also contributes to the extant literature that examines investment-cash flow sensitivity by showing that financial cash flows have a larger effect on R&D investment rather than operating cash flows.

• Journal of Technology Innovation
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• v.25 no.1
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• pp.35-60
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• 2017

In this study, the effects of Venture Start-up's Technological Capabilities on Financial Stability and Possibility of Insolvency was investigated by use of SEM(Structural Equation Model). Technological Business Capabilities include CEO's Technological Capability, Management Specialization and the Feasibility of the Investment plan. The empirical data for this study were taken from the technology assessment data of Korea Technology Guarantee Fund(KTGF) on 1,419 Venture Start-ups from 2011 until 2012 and the financial data of the following 2 years of the sample. Venture Start-ups established within 7 years, were selected for this study's sample from viewpoint of their 'High-Risk High-Return' characteristic. The results are as follows : Manpower including CEO's Technology-related Knowledge and Experience, Management Organization's Technological Specialization and Cooperativeness, Reasonable Investment and Financing Planning etc. were proved to improve Financial Stability, and therefore reduce Possibility of Insolvency.

• Management & Information Systems Review
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• v.33 no.1
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• pp.173-190
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• 2014

According to COSO(2013) "Internal control is a process that is designed to provide reasonable assurance that a firm can achieve its objectives, where differing aspects of internal control can be partitioned into operating objectives, reporting objectives, and compliance objectives." Internal control over financial reporting(ICFR) is focus on reporting objectives and includes that provide reasonable assurance regarding prevention or timely detection of unauthorized acquisition, use or disposition of the company's assets that could have a material effect on the financial statements. Thus, firms with weak ICFR have negative a effect on Firm value because those firms are great likelihood of misappropriation and inefficiency decision. In this regard, this study investigates the association of ICFR with the likelihood of firm failure. Specially, I measure the characteristic of ICFR as disclosures of material weaknesses and operating personnel of ICFR. I identify the likelihood of firm failure as going-concern opinion issued in audit report. As result, I find that a higher probability of firm failure is positively associated with the material weakness in ICFR also I find that a higher probability of firm failure is negatively associated with experience and qualified CPA of personnel in ICFR.

• Journal of Korea Port Economic Association
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• v.37 no.2
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• pp.1-17
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• 2021

Private investment projects have the characteristic of generating profits for a long period of 30 to 40 years, and fluctuations in profits and costs occur over time, so the interaction of variables over time rather than statistical models or discounted cash flows If the system dynamics technique, which enables simulation of the system, is used, it is considered that meaningful simulation results can be derived for internal and external variables. In other words, by establishing a financial feasibility comparison/verification model based on system dynamics for private investment projects in the port sector that have not been attempted before, we compare the differences with the existing cash flow discount method, macroeconomic factors, operating period, social discount rate We will conduct a differentiated study that has not been tried before by simulating how the interrelationships of such variables affect the change in financial performance.