• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.183-198
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• 2011

With the recent development of IT technology, the existing contents have been digitalized through various distribution channels. Accordingly, a lot of studies have been done in order to figure out the distribution and features of digital contents, In these studies, however, categorical characteristics of digital contents were not considered ; most of the previous researchers saw digital contents as only a single item or focused on some contents within particular part such as movie, music, etc. So, this study divides digital contents into movies, music and texts. I was going to study which factors affect Customer Satisfaction in relation with the kind of contents. With SERVQUAL as independent variables, which affect the Customer satisfaction, I used five factors :Design Quality, Information Quality, Security Quality, Communication Quality and Transaction Quality. As for the detailed items, I corrected them with Open-End Question and Pre Survey Research, which are more fit into the features of digital contents. This research conducted Principle Component Analysis, Reliability Test, Correlation Analysis and Regression Analysis. I verified that each factor of Service Qualities has a positive effect on Customer Satisfaction. Moreover, the factors of the effect are different according to the kind of digital contents. This paper was added Exploratory Study to find the best distribute channel. For the study, I search the possible distribute channel in each digital contents and their characteristic.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.423-432
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• 2002

This study was conducted to test the validity of characteristics of family nursing phenomena in Korea identified in a previous study by Yoon, S. Y, et al. (1999). Data for this study were collected from 355 (first measurement 186, second measurement 169) nurses whose family nursing careers were more than one year using a cross sectional survey method. The distribution per one characteristic ranged between 0 to 5. The phenomena that had two or more characteristics and had a score of 3.0 points or more included disturbance in marital role', 'disturbance in family communication', 'inappropriate family coping', 'lack of family intimacy', 'unhealthy life style', 'deficit of financial management skill and support', 'inadequate care management sick member', and' inadequate home-making'. The essential characteristics of the 8 phenomena presented above included 27 items. Further studies on family nursing phenomena in Korea are needed to support the evidence through surveys of families in the field. A reconfirmation study, as well as qualitative research on the low validity of the characteristics, needs to be more performed in the future.

• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.183-192
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• 2010

Korean logistics industry have been focused on transportation business. However, with the expansion of the electronic commerce and on-line shopping, delivery service is now dramatically growing. Despite the expansion of logistics market, the domestic logistics industry have significant structural problems such as low productivity comparing with the advanced countries, relatively high cost and shortage of human resources and lack of professionalism of people in the industry. Logistics companies reallocate employees, use subcontractors, expand consignment and training the employees to overcome the labor shortages but it has some limits. In recognition of the importance of labor in the logistics industry, financial support and investment have increased. Logistics companies tend to hire consultants, set up logistics department or R&D center in order to establish highly productive logistics process and system so it is viewed that there will be considerable demands of human resources in the logistics industry. This study indicates implications and development direction of human resources in the logistics industry by looking into prospect and characteristic of the industry, employment status, training programs and qualification requirements.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.344-363
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• 2009

The number of International college students has dramatically increased in Korea since 2000 as the government has made a consistent effort to draw in international students to strengthen the competitiveness of higher education and to improve the international balance of payments. An increase of incoming international students help Korean universities solve a current problem of decreasing student numbers and bring financial benefits. However, not much is known about their intentions and decision-making process. This study tries to investigate their immigration process and backgrounds that have not yet been dealt with seriously in academic areas. The immigration process can be divided into 3 steps - pre-immigration, settlement and adaptation, post-immigration. Characteristic of each step related to a main decision-making are investigated in the paper. Their decision for studying in Korea depends on various factors and conditions. Especially, economical, personal, and vocational factors or motives in combination influence their decision-making at each step.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.29-35
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• 2019

As the fourth industrial revolution is emerging, many companies are increasingly interested in smart factories and the importance of sensors is being emphasized. In the case that sensors for collecting sensing data fail, the plant could not be optimized and further it could not be operated properly, which may incur a financial loss. For this purpose, it is necessary to diagnose the status of sensors to prevent sensor' fault. In the paper, we propose a scheme to diagnose digital-sensor' fault by analyzing the rising time and falling time of digital sensors through the LSTM(Long Short Term Memory) of Deep Learning RNN algorithm. Experimental results of the proposed scheme are compared with those of rule-based fault diagnosis algorithm in terms of AUC(Area Under the Curve) of accuracy and ROC(Receiver Operating Characteristic) curve. Experimental results show that the proposed system has better and more stable performance than the rule-based fault diagnosis algorithm.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.511-517
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• 2021

In this paper, we analyzed the impact of capital adequacy requirements on the profitability of Korean banks using DOLS model. As a result of the analysis, the impact of BIS capital ratios on commercial and regional banks was different. Demand for capital adequacy has a greater and more significant negative impact on regional banks than on commercial banks. It was shown that bank characteristic variables rather than macroeconomic variables have a more significant effect on bank profitability. In addition, a rise in the BIS capital ratio reduces the profitability of commercial and regional banks, and the higher the ratio of loan-loss provisions, the stronger the relationship. In the case of commercial banks, it is estimated that the demand for capital adequacy did not have a significant impact as they are relatively large and faithful in capital compared to regional banks. However, in the case of regional banks, safer assets need to be selected to meet the BIS capital ratio, and the increasing propotion of these safe assets seems to have a relatively greater negative impact on profitability. Consequency, the financial authorities should consider this results and implement the bank's capital regulation policy.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.127-140
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• 2022

Recently, accelerators are attracting attention as a new startup incubator. This study empirically analyzed the relative importance and priority of decision-making factors when a startup selects an accelerator using the AHP technique. As a result, startup founders recognized the importance of decision-making factors in the order of funding factors, program factors, and accelerator characteristic factors. there was a difference in the relative importance of detailed factors between startup founders and accelerator workers, depending on the location of the business site and the presence or absence of sales performance. This suggests that accelerators need to strengthen the financial support capabilities and improve customized services to meet the needs of startups. This study can be used as a decision-making criterion when a startup selects an accelerator, and can be used as basic data for additional research on the accelerator program.

• Geomechanics and Engineering
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• v.34 no.3
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• pp.267-284
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• 2023

Landslides are one of the most dangerous phenomena and natural disasters. Landslides cause many human and financial losses in most parts of the world, especially in mountainous areas. Due to the climatic conditions and topography, people in the northern and western regions of Iran live with the risk of landslides. One of the measures that can effectively reduce the possible risks of landslides and their crisis management is to identify potential areas prone to landslides through multi-criteria modeling approach. This research aims to model landslide potential area in the Oshvand watershed using a support vector machine algorithm. For this purpose, evidence maps of seven effective factors in the occurrence of landslides namely slope, slope direction, height, distance from the fault, the density of waterways, rainfall, and geology, were prepared. The maps were generated and weighted using the continuous fuzzification method and logistic functions, resulting values in zero and one range as weights. The weighted maps were then combined using the support vector machine algorithm. For the training and testing of the machine, 81 slippery ground points and 81 non-sliding points were used. Modeling procedure was done using four linear, polynomial, Gaussian, and sigmoid kernels. The efficiency of each model was compared using the area under the receiver operating characteristic curve; the root means square error, and the correlation coefficient . Finally, the landslide potential model that was obtained using Gaussian's kernel was selected as the best one for susceptibility of landslides in the Oshvand watershed.

• Management & Information Systems Review
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• v.35 no.4
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• pp.251-268
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• 2016

The present study has the purpose of analyzing the relationship between entrepreneurial characteristics and success factors of small-scale start-up founders as well as the relationship between success factors and performances of start-up businesses. It is also aimed in this study to determine the structural effects of start-up founders' characteristic upon their performances and by thus, to provide those who prepare for and/or have been operating start-up business with suggestions for stable and successful start-up as well operation. The study resulted in the following outcomes: First, the analysis of the relationship between characteristics and success factors of start-up business found that the empirical characteristics of small-scale start-up business founders might influence every factor for their success including the financial conditions as well as management of shops, products and service. Their psychological characteristics, however, turned out to have influence upon the management of products and service only, but not upon the financial conditions and management of shops, a result implying that the higher desire and creativity small-scale start-up business founders have, the more probable the start-up businesses become successful. Second it was learned from the analysis of the relationship between success factors and performances of start-up businesses that such success factors of start-ups as financial conditions as well as management of shops, products and service could exercise impact upon their performances, signifying that the exact decision making of small-scale start-up founders might affect the performances of small-scale start-up businesses. Third, the analysis of the relationship between entrepreneurial characteristics and performances of start-up founders revealed that both empirical and psychological characteristics of start-up founders might have influence upon the performances of start-up businesses, leading to the conclusion that small-scale start-up founders could achieve higher performances in their start-up when they are highly aware of empirical and psychological characteristics for start-up as part of entrepreneurial characteristics.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.77-90
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• 2023

This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.