• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2005.05a
• /
• pp.1072-1082
• /
• 2005

This study develops a contingency fit between client IT capability and vendor competence in IS outsourcing relationship by integrating both the contingency theory in organization and the relationship theory in IS outsourcing. By adopting a fit as a moderation, the relationship intensity of IS outsourcing is hypothesized to be influenced by the fit between client IT capability and vendor competence, thereby leading to the success of outsourcing. The testing data was obtained from 20 IS outsourcing projects from both clients and vendors in Korea. The research model proposed in this study was then tested using the structural equation model (SEM). As expected, the result shows that when there is a fit between client IT capability and vendor competence, higher level of relationship intensity and outsourcing success exhibits. The findings have significant impactions for further research and practice.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.1007-1013
• /
• 2020

This study aims to understand the determinant of the employee's intention to use information system within the framework of the Technology Acceptance Model (TAM) and Information System Success Model (ISSM). This paper also aims to examine the influence of ISSM dimension on the perceived usefulness and the perceived ease of use. The research respondents were 248 employees of Universitas Negeri Semarang (UNNES) who are users of the Financial Information System (SIKEU). Data was obtained using a questionnaire that was distributed online via Google form. The data analysis method used is Structural Equation Model (SEM) analysis using the Warp-PLS software. The results showed that the dimensions of TAM (perceived ease of use and perceived usefulness) had a positive and significant influence on the employee's intention to use SIKEU. The ISSM dimension (system quality and information quality) also had a significant influence, although other ISSM dimensions (service quality) had not been proven to have a significant influence on the employee's intention to use SIKEU. Moreover, the results showed that the employee's intention to use is a determinant of SIKEU's actual usage. Perceived ease of use was significantly determined by system quality, information quality, and service quality. In addition, the perceived usefulness was significantly determined by system quality and information quality.

• Journal of Korean Society for Quality Management
• /
• v.42 no.3
• /
• pp.509-522
• /
• 2014

Purpose: The purpose of this paper is to identify Six Sigma success factors and analyse the effects of Six Sigma success factors and innovation capability on innovation performance. Methods: The study build a research framework which include the variables of Six Sigma success factors, innovation capability, and innovation performance. A sample of 127 survey questionnaires is taken to test the proposal theoretical model through structural equations modeling using AMOS 20.0. Results: This study proves that there are the positive relationship between Six Sigma success factors, innovation capability, and innovation performance. It also confirms that there are the partial mediating effects of innovation capability between Six Sigma success factors and innovation performance. Conclusion: There are various factors affecting innovation performance of firms. This study provide the mechanism transformed from Sig Sigma to innovation performance.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.14 no.5
• /
• pp.850-858
• /
• 2011

The risk analysis plays an important role in weapon system acquisition project due to uncertainties in the acquisition process. But in domestic, studies on risk analysis are insufficient and risk cost is not included in acquisition budget in policy. Therefore, in this study, we suggest a method that measures risk or success probability of project using the stochastic model. In particular, in order to calculate the success probability, we apply the joint probability distribution model of cost and schedule that are critical factors influencing the project risk. And also we verify the applicability of this model in Korean defence industry environment through case studies.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.10a
• /
• pp.52-55
• /
• 2000

The purpose of this study is to develope a stage management model for R&D projects using expert system in order to evaluate the successful accomplishment and diagnose the success level of projects at each development stage. Constructing this model, we classified the development projects for electronic parts, and designed the basic system structure through causation analysis between the factors of success influence and R＆D process. We gathered the input data of expert system by enquete survey, and used ID3 algorithm in order to extract the reasoning rule.

• The Journal of Information Technology
• /
• v.8 no.3
• /
• pp.83-103
• /
• 2005

The IT implementation literature suggests that various implementation factors play critical roles in the success of an information system; however, there is little empirical research about the implementation of data warehousing has unique characteristics that may impact the importance of factors that apply to it. in this study, a cross-sectional survey investigated a model of data warehousing success. Data warehousing managers and data suppliers from 51 organizations completed paired mail questionnaires on implementation factors and the success of the warehouse. The results from a regression analysis of the data identified relationships between the system quality and data quality factors and perceived net benefits. It was found that management support and resources help to address organizational issues that arise during warehouse implementations, resources, user participation, and highly-skilled project team members increase the likelihood that warehousing projects will finish on-time, on-budget, with the right functionality; and diverse, unstandardized source systems and poor development technology will increase the technical issues that project teams must overcome. The implementation's success with organizational and project issues, in turn, influence the system quality of the data warehouse; however, data quality is best explained by factors not included in the research model.

• The Journal of Asian Finance, Economics and Business
• /
• v.6 no.1
• /
• pp.217-229
• /
• 2019

The purpose of the research is to verify how task characteristics for business and technology characteristics, economic feasibility, technology readiness, organizational factors, environmental factors of cloud computing affect the performance of cloud computing adoption through Fit and Viability. The research aims to verify the relationship among the success factors for adopting cloud computing based on the Fit-Viability model. Respondents who work for IT companies which is using cloud computing in South Korea were chosen. The data was analyzed by the structural equating model. As a result, Task characteristics and Technology characteristics affected Fit in a positive manner, while Technology readiness, Organizational factors and Environmental factors also positively impacted Viability. Fit and Viability both affected the successful adoption of cloud equally. In particular, Environmental factors were proven to have the biggest impacts on Viability, and affected highly indirect impact on the Performance of cloud computing adoption through Viability. Entering the era of the fourth industrial revolution, corporations have established digital transformation strategies to secure a competitive edge while growing continuously, and are also carrying out various digital transformation initiatives. For the success of adoption of foundational technologies, they need to understand not only the decision-making factors of adopting cloud computing, but also the success factors of adopting cloud computing.

• Korean Journal of Construction Engineering and Management
• /
• v.4 no.3 s.15
• /
• pp.119-127
• /
• 2003

Among project delivery methods, Design-Build method is becoming an increasingly preferable alternative to traditional contracting method. The Design-Build delivery method was first introduced in Korea, 1975. But it still has been producing many problems. The previous researches had been suggested several ways to improve the Design-Build project delivery but it seemed to have had no effect whatsoever. This research proposes the success model for Design-Build delivery method through the 4 steps. First, find the proper modeling method. Second, establish the As-Is model for analyzing the circumstances of Design-Build method. Third, to begin with analyzing the As-Is Design-Build model and previous researches, establish the problem model. Finally, find success factors and circumstances through the overseas Design-Build system, and then establish the success Design-Build model.

• Journal of Digital Convergence
• /
• v.12 no.12
• /
• pp.203-215
• /
• 2014

Although many studies about start-up existed, It is almost never shown study about ICT convergence start-up enterprise. This study tries to analyze success factor to start-up enterprise in rapidly growing ICT convergence area. Based on 10 entrepreneurial success cases, We figure out the total 29 units success factors utilizing ERIS model. We classify ICT commercialization with 4 types which are software-R&D centric, software marketing centric, software plus hardware R&D centric, software plus hardware marketing centric. Among success factors the most success factor is related entrepreneur;s ability and include major and professional knowledge about ICT's filed, insight through sensitivity about technical paradigm etc. It was derived the success factors indicated in the course of commercialization of ICT Covergence Unlike other forms of the existing start-up entrepreneurs and contributed to typified in four forms startups for ICT Covergence start-up entrepreneurs.

• Journal of Korea Multimedia Society
• /
• v.25 no.6
• /
• pp.878-885
• /
• 2022

Research in the field of computer vision based on deep learning is being actively conducted. However, deep learning-based models have vulnerabilities in adversarial attacks that increase the model's misclassification rate by applying adversarial perturbation. In particular, in the case of FGSM, it is recognized as one of the effective attack methods because it is simple, fast and has a considerable attack success rate. Meanwhile, as one of the efforts to visualize deep learning models, Grad-CAM enables visual explanation of convolutional neural networks. In this paper, I propose a method to generate adversarial examples with high attack success rate by applying Grad-CAM to FGSM. The method chooses fixels, which are closely related to labels, by using Grad-CAM and add perturbations to the fixels intensively. The proposed method has a higher success rate than the FGSM model in the same perturbation for both targeted and untargeted examples. In addition, unlike FGSM, it has the advantage that the distribution of noise is not uniform, and when the success rate is increased by repeatedly applying noise, the attack is successful with fewer iterations.