• Management & Information Systems Review
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• v.36 no.4
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• pp.33-51
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• 2017

With the advent of 'The Forth Industrial Revolution' and the growing demand for quality of life due to economic growth, needs for the quality of medical services are increasing. Artificial intelligence has been introduced in the medical field, but it is rarely used in chronic skin diseases that directly affect the quality of life. Also, atopic dermatitis, a representative disease among chronic skin diseases, has a disadvantage in that it is difficult to make an objective diagnosis of the severity of lesions. The aim of this study is to establish an intelligent severity recognition model of atopic dermatitis for improving the quality of patient's life. For this, the following steps were performed. First, image data of patients with atopic dermatitis were collected from the Catholic University of Korea Seoul Saint Mary's Hospital. Refinement and labeling were performed on the collected image data to obtain training and verification data that suitable for the objective intelligent atopic dermatitis severity recognition model. Second, learning and verification of various CNN algorithms are performed to select an image recognition algorithm that suitable for the objective intelligent atopic dermatitis severity recognition model. Experimental results showed that 'ResNet V1 101' and 'ResNet V2 50' were measured the highest performance with Erythema and Excoriation over 90% accuracy, and 'VGG-NET' was measured 89% accuracy lower than the two lesions due to lack of training data. The proposed methodology demonstrates that the image recognition algorithm has high performance not only in the field of object recognition but also in the medical field requiring expert knowledge. In addition, this study is expected to be highly applicable in the field of atopic dermatitis due to it uses image data of actual atopic dermatitis patients.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.1-18
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• 2014

Recently, many of the mobile network operators or telcos are introducing the LTE service in order to effectively cope with an explosive increasing mobile traffics due to an expansion of the use of smart phones. The 1.8GHz, 2.6GHz, and 800MHz band classes are most widely used for LTE. In particular, the 1.8GHz band class is the most useful one in terms of the reusability of the existing (2G) network, global harmonization, bandwidth, eco-system of equipments and devices, and so on. In recent years, major countries in the world have allocated the 1.8GHz band spectrum in a wide bandwidth unit suitable for the upcoming LTE-Advanced service. This paper surveyed the 1.8GHz band spectrum allocation policies of the 12 OECD countries, including Republic of Korea. From the survey, we have found that they rebuilt or refarmed the existing holders' bands, recovered the public (i.e., military)-use bands, and allocated the bands in a wide bandwidth and in an equal or similar size.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.197-207
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• 2013

The purpose of this study is to analyze the effect of controlling consulting service quality in relation to the factors of success and performances of the social enterprises. In order to achieve the objective of this study, securement of market competitiveness, entrepreneurship and network activity was defined to be the factors of success and the research model and hypothesis was set according to the theoretical basis of the factors of success, performances and the quality of consulting services. The results showed that first, securement of market competitiveness, entrepreneurship and network activities as factors of success all had significant effects on performances pertaining to both profit-making and public interest, having great influence on the securement of market competitiveness of the social enterprises. Secondly, as a result of analyzing the effects of controlling the quality of consulting services in relation to the relationship between the factors of success and management performances of the social enterprises, network activity showed to have significant effect on performances pertaining to both profit-making and public interest. Through this study, the importance and the necessity of the improvement of consulting services and network activities of social enterprises were highlighted and the necessity of a new consulting principle in the consulting industry that can be specialized to social enterprises is proposed.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.117-126
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• 2018

The threat to information security is growing globally. To this, organizations are increasing the weight of adapting and operating the more specialized information security policy and system. Information security requires participation from the employees who execute the security system and policy, and to increase the level of organization's internal security, requires organization's systematic support to improve employees' information security compliance intention. This research finds the mechanism for improving employee's information security compliance intention by applying justice theory and goal setting theory in information security. We use structural equation modeling to verify the research hypothesis, and conducted a survey on the employees of organization with information security policy. In other words, this research performs verification of the research model based hypothesis which claims that security policy goal setting has positive influence on employee's level of security related justice recognition, and claims that justice has positive influence on compliance intention. The object of study is the employees of the organization that adapts information security policy, and 383 valid samples were collected via survey. Structural equation modeling was performed to verify the research hypothesis. The result shows that security policy goal factor (goal difficulty, goal specificity) improves employee's security related justice recognition, and that security related justice (distribution, process, and information justice) has positive influence on compliance intention. The result suggests the strategic approach directions for improving employees' compliance intention on organization's security policy.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.145-157
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• 2020

The purpose of this study is first to analyze the effects of university students' autonomous motivations to start a business on their attitude toward entrepreneurship, subjective norms, and perceived behavioral control, second to analyze the effect of university students' attitude toward entrepreneurship, subjective norms, and perceived behavioral control on entrepreneurship intentions, and third to analyze the moderating effect of entrepreneurship education for university students on entrepreneurship intention. Based on the previous research, a research model and a research hypothesis were established. 251 questionnaire responses were collected through a survey of university students in Seoul and Gyeonggi Province and empirical analysis was performed using SPSS 24 and AMOS 23. As a result of the analysis, first, the autonomous motivation was found to have a positive effect on attitude, subjective norms, and perceived behavioral control. In addition, attitude, subjective norms, and perceived behavioral control all showed a positive effect on entrepreneurship intention. Entrepreneurship education for university students was found to control the effect of subjective norms on entrepreneurship intention and the effect of perceived behavioral control on entrepreneurship intention in the positive direction. The results of this study can contribute to the establishment of more effective educational policies and startup support program planning that can increase the entrepreneurial intention of university students.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.253-265
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• 2011

A number of organizations have had big interests in studies concerning leadership and not only academia but also psychological areas do also. Until now, leadership has been accentuated by managers or team leaders especially. Recently, however, the concept of self-leadership directing one's own activities through self-control or self-management is being focused on in practices and in academia. This study is to investigate the influence between self-leadership strategies as predictors and learning performance in IT classes as dependents variables mediated by attitude of attendance focused on the social science students in two universities (Korea(116 samples) and India(36 samples)). And this research tried to compare difference between two university students. As a result of empirical analysis, Korean learners making an effort by themselves show a tendency to think constructively. Namely, even though the level of difficulty may be high, by positive self-talk, respondents usually make an effort to get high academic performance. In case of Indian respondents, students who are in behavior-oriented show higher academic performance. Research results can give us direction of task-taking attitudes in firms or learning attitudes in teaching organizations and implications to human resource managers who are in charge of improving learning performance or productivity.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.263-275
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• 2013

M&A is an important strategic decision made to ensure the competitiveness of companies and cases of M&A have been increasing in recent years. But the success of an M&A is not assured. In order to succeed, there should first be a well managed strategic leadership by the CEO and an integration strategy. Companies need also to overcome the resistance to change among members. A successful example of an M&A is that of LG Chem and Hyundai Petrochemical. By using this M&A as a case study, the influence of the CEO's Strategic Leadership, and the Integration Strategy on Resistance, Acceptance and Performance were assessed. For this study, research was conducted on CEO Strategic Leadership and Integration Strategy before members of LG Chem (DAESAN PLANT) were interviewed on the M&A's implementation by LG Chem's HR staff, management and members. The results show that CEO strategic leadership and the integration strategy are major change drivers and that they are important to the early stabilization of M&A companies. Finally, suggestions are made as to how such success may be replicated for other companies undergoing M&A in the future.

• The Journal of the Convergence on Culture Technology
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• v.5 no.4
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• pp.277-282
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• 2019

This study analyzed the determinants of the financial Soundness of savings banks. In particular, empirical analysis was carried out on how the loan deposit ratio correlates with financial soundness after restructuring. As the restructuring of savings banks was finalized in 2014, asset management changed and it is time to analyze the financial characteristics of savings banks. In summary, the relationship between the savings bank lending rate and the NPL ratio is estimated to have a negative value at the 1% significance level. In other words, the higher the mortgage rate, the lower the substandard and below ratio. It can be said that it is not easy for a savings bank to build an aggressive loan portfolio. In other words, the more difficult it is to finance loans through savings deposits, the more likely the risk aversion tends to be. The higher the corporate loan ratio, average interest expense, and economic growth rate, the higher the risk index. The larger the asset size and the higher the loan growth rate, the lower the risk index. Increasing the mortgage rate may reduce risk-seeking behavior, but it does not mean that it is unconditionally positive for savings banks. Therefore, the loan deposit rate regulation should reduce the incentives for excessive asset expansion and manage preemptive soundness through lending portfolio management.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.29-42
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• 2021

As the low fertility intensifies in Korea, this study investigated fundamental differences between the government's low fertility policy and public perception of it. To this end, we selected four times 'Aging Society and Population Policy' documents and news comments for two weeks immediately after announcement of the third and fourth Policy as analysis targets. Then we conducted word frequency analysis, co-occurrence analysis and CONCOR analysis. As a result of analyses, first, direct childcare support during the first and second periods, and a social structural approach during third and fourth periods were noticeable. Second, it was revealed that both policies and comments aim for the work-family compatibility in 'parenting'. Lastly it was showed public interest in environment of raising children and the critical mind to effectiveness of the policy. This study is meaningful in that it confirmed the public perception using big data analysis, and it will help improve the direction for the future low fertility policy.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.321-329
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• 2021

A measure of managerial ability was derived using DEA, a measure of management efficiency, and the correlation coefficient between discretionary accrual and non-discretionary accrual, net income and operating cash flow standard deviation was used as a proxy for income smoothing. verified. In addition, the manager's compensation was used by taking the natural logarithm of the cash compensation per manager. The analysis results are summarized as follows. The analysis period for hypothesis testing is from 2004 to 2017, as a result of the hypothesis analysis of the correlation with the level of manager's compensation, it was suggested that the income smoothing behavior decreased the performance-based compensation and increased the performance-controlled compensation. This can be said to be the result of indirectly confirming that additional compensation is differentially paid for income smoothing. This study has a contribution to the study by empirically analyzing whether income smoothing affects the relationship between managerial ability and managerial compensation. However, although a number of previous studies empirically analyzed that there are upper and lower bounds for manager compensation, there is limitations that could not be analyzed for asymmetric compensation due to income smoothing is expected to expand.