• Journal of Digital Convergence
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• v.15 no.6
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• pp.249-258
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• 2017

This study examined the influence of self- efficacy for smoking cessation, depression, social support and nicotine dependency in the college male smoker. This survey design was adopted for 149 male college students in Gyeongbuk. Data were gathered from September 7 to 18, 2016. Data was analyzed for descriptive statistics, t-test, ANOVA, Pearson correlation, and multiple regression. There was a significant positive correlation between depression and nicotine dependency. There was a significant negative correlation between self-efficacy for smoking cessation and nicotine dependency and between social support and nicotine dependency. The significant factors influencing nicotine dependency were self-efficacy for smoking cessation and depression. This model explained 34% of variance in nicotine dependency. The results suggest that an intervention program is needed to reduce the depression and to increase the ability of self-efficacy for smoking cessation in the college male smoker.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.577-586
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• 2021

This study is objected to identify the influencing factors of adolescents' smartphone dependency and to determine the degree of influence on smartphone dependency through direct and indirect channels acting between factors. The data of the 2th Korean Child-Youth Panel Survey(KCYPS 2018) was analyzed using the SPSS 26.0 and 26.0 AMOS program. Six paths proved to statistically significant. Self-esteem and depression were the influencing factors of adolescents' smartphone dependency. Social withdrawal and the school environment influenced smartphone dependency through self-esteem and depression as mediators. Self-esteem and depression acted as mediating factors. Adolescents' smartphone dependency was influenced not only by personal factors but also by external factors such as the school environment. The results of this study will be presented as evidence for developing programs that can prevent adolescents from smartphone dependency.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Management & Information Systems Review
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• v.32 no.2
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• pp.359-379
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• 2013

The purpose of this paper is to identify and analyze the effects for IT Innovation, IT Dependency and Usage of Enterprise Architecture on IT-Business Alignment that have been on the mind C-level executives for several decades. In order to substantiate 5 hypothesis related 4 variables, 120 IT experts had been surveyed and Partial Least Square Method had been used to analyze the result. The results presented in this research indicates that technical review and feasibility study for IT Project should be performed considerably to align IT and Business requirement efficiently. It also implies that increased IT Dependency in working process results in the clearer specification of requirements for IT Project.

• Journal of Digital Convergence
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• v.15 no.3
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• pp.181-186
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• 2017

The system optimization is a technique that changes the structure of the program in order to extract the duplicated modules without changing the source code, reuse of the extracted module. Structure-oriented development and object-oriented development are efficient at crosscutting concern modular, however can't be modular of crosscutting concept. To apply the crosscutting concept in an existing system, there is a need to a extracting technique for distributed system optimization module within the system. This paper proposes a method for extracting the redundant modules in the completed system. The proposed method extracts elements that overlap over a source code analysis to analyze the data dependency and control dependency. The extracted redundant element is used to program dependency analysis for the system optimization. Duplicated dependency analysis result is converted into a control flow graph, it is possible to produce a minimum crosscutting module. The element extracted by dependency analysis proposes a system optimization method which minimizes the duplicated code within system by setting the crosscutting concern module.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5652-5659
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• 2014

The purpose of this study was to introduce a software task processing evaluation model that considers the following situations: i) a software system is integratedly composed of several number of modules, ii) each modules has its corresponding module task, iii) all module tasks are tested simultaneously, and iv) the processing times of the module tasks are mutually dependent. The software task completion probability with the module dependency was derived using the joint distribution function of Farlie [11]. The results showed that the task completion probability of software increases with increasing module dependency parameter.

• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.259-268
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• 2018

Purpose: SIT(Systematic Inventive Thinking) has been widely used in recent years. The validity of the five thinking tools of SIT is examined, and how to improve the inventive thinking tools is investigated. Methods: Frequency analysis on the usage of the TRIZ 40 inventive principles was used. Inventive thinking tools are derived by eliminating principles with low frequencies and grouping similar principles together. Results: Segmentation, prior action, combining, extraction, cushion in advance, transformation of properties are most frequently used among the 40 principles of TRIZ. The most frequently used principles and similar principles with them are grouped into new inventive thinking tools. Two of them, division and attribute dependency, belong to the 5 thinking tools of SIT, and the others, proactive measures, combination and reversal, do not. Conclusion: The newly identified inventive thinking tools are division, combination, proactive measures, attribute dependency, and reversal. The new five inventive thinking tools are quite efficient since they can cover more than two thirds of the TRIZ 40 inventive principles.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.293-302
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• 2016

The study explores how academic strain, unhappiness, and mobile phone dependency among adolescents have changed over time. And we conducted the longitudinal and complex analysis on the influence of academic strain on unhappiness and mobile phone dependency in order to search the ways to prevent a vicious circle among them. We used general strain theory as a conceptual research frame and analysed the data of 1,589 respondents of the 2nd~4th Korean Children and Youth Panel with latent growth modeling. It was found that the levels of academic strain, unhappiness, and mobile phone dependency among adolescents were linearly increased across time. Academic strain initial status positively affected unhappiness initial status and both the initial status and change rate of mobile phone dependency. The change rate of unhappiness positively affected that of mobile phone dependency. Academic strain change rate positively influenced that of mobile phone dependency mediated by unhappiness change rate. We provided useful implications to academic activities, negative emotions, and mobile phone dependency for adolescents and suggested future studies about reasons of the changes of those variables.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.141-156
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• 1999

Recently expanded and enhanced software system inevitably demands serious managerial considerations on its maintenance cost. This study proposes a systematic and thorough assessment model for software development methods to the end of maintainability, incorporation ISO 9126 quality standards-based criteria. The Analytic Network Process (ANP) is employed in our model to find the effect of any dependency among the items of the criteria and the alternative methods. This study then applies the model empirically in order to evaluate the efficacies of the Structured Method and the Objected-Oriented Method. At first, this study performs the test on the existence and direction of any dependency under the three types of assumptions, and then determines the relative dominance of the two methods.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.13-26
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• 1999

When we try to design a production planning system for a manufacturing company, it is a time consuming task to analyze various planning activities and identify inter-relationship among a lot of decisions made for the production planning. Most of the research efforts have been concentrated to well-organized independent decision-making problems that may usually be identified only after analyzing the characteristics of the decision-making process as a whole. In this paper, a methodology is suggested to characterize the whole process of the production planning for a manufacturing company and reduce the complexity of decision-making problems. The methodology is based on an experience of developing a production planning software for an automobile component manufacturer in korea. First, it is explained how to identify and represent the dependency among various decision-making variables. And a methodology is proposed to analyze the identified dependency among decision variables and identify decision-making process. Lastly, a practical example is provided to illustrate the analysis procedure in this paper.