• Proceedings of the CALSEC Conference
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• 2005.03a
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• pp.163-168
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• 2005

While the client-vendor relationship has been mainly examined from the service receiver's perspective in IS outsourcing literature, the vendor's factors have seldom been explored. To address this issue, our study adopts interaction process theory and develops the model focusing on the competence of the vendor as a key antecedent of the client-vendor relationship intensity and outsourcing success. Results from empirical data gathered from Korean firms indicate that the vendor competence factors identified in this paper positively impacts the client-vendor relationship and outsourcing success. The findings have significant implications for IS outsourcing practices and further research.

• Asian Journal of Innovation and Policy
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• v.5 no.2
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• pp.129-145
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• 2016

This is a case study to analyze the role of technology licensing or transfer office (TLO) as factors of success for the spin-off from government research lab. The case company is a research lab startup, which is a joint venture through technology investment by a government research lab or university in the designated R&D parks and cash investment by the partner company. The case company listed on the stock market in 2015 reaching a market capitalization of US$ 1.2 billion. We confirm the success factors of startups pointed out in many studies: original technology, good understanding of core technology and production technology, technological competitiveness in the market. However, there is an important factor not well discussed in the previous studies, the role of TLO. TLO guided the company ownership, management, technology, and solved problems that pause business itself. The case became the sample of research lab startup and technology investment in Korea.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.2
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• pp.43-57
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• 2015

All countries of the world are promoting the creative economy policy to overcome the global economic crisis. Korean government enforces the creative economy policy for the economic growth and job creation. Especially, Technology based startup is actively supported to realize the creative economy. To maximize the efficiency of supporting start-ups, we have to analyze a perception gap of the startup success factors between technology based entrepreneur and startup facilitator. Through the analysis, the supporting policy of startup utilized efficiently the limited resources is necessary. So, the purpose of this study is analysis the difference of the startup success factors which technology based entrepreneur and startup facilitator recognize. To analysis, the start-up success factors derived from previous studies were categorized them as 1) characteristics of the founder, 2) start-up strategy, 3) characteristics of the organization, and 4) start-up environment. Also, The CEO of technology based start-ups and the researcher in national research institute to support SMEs were surveyed. Then, Survey was analyzed by utilizing the ANP methodology to priority derivation of start-up success factors. Result of analysis, Technology Based Entrepreneur was determined that 'composition and expertise of organization' is most important factor for success of startup. On the other hand, Startup facilitator was determined that 'financing strategy of organization' is most important factor for success of startup. Both groups are recognized as important strategy. And start-up environment is recognized as a relatively unimportant. On the other hand, the importance which two groups evaluate about characteristics of entrepreneur and characteristics of organization was different. This study has a academic significance to analyze the priority of the startup success factors between technology based entrepreneur and startup facilitator. Also, It can be utilized practical guideline when policy making about technology based startup.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.17-22
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• 2012

The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success. A hypothesis was established for the impact relation between technological innovation success and government support level, which was verified through the logistic regression analysis. In conclusion, in terms of government support, IT manufacturing companies to the success of product innovation, technology development(R&D) and commercialization of direct support is needed for the financial support. And, the success of process innovation is accomplished through manpower training of technical personnel.

• Health Policy and Management
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• v.10 no.2
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• pp.78-102
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• 2000

Factors influencing the success or failure of information systems9IS) have been discussed in many literes. However, little thertical development or empirical research has examined effectiveness of information systems in health center. This study evaluates several model that contribute to IS success in bealth center. In this study, we propose a process model that exhibits several variables influence one after another. These can be classified into six different dimensions. These inclube system aspect, invidual effect. The system aspect is classified by system quality, information quality and service quality. On individual and organizational aspect, this study uses computer self-efficacy and support of top management. The results of this study are as follows: according to multiple regression analysis of user satisfaction, information quality and support of top management are statistically significant influence on user satisfaction. System quality and service quality are a partially significant influence on user satisfaction. Hypothesis 5, proposing that computer self-efficacy would relate positively to user satisfaction, ws not supported by the questionnaire results. Based on these results, information quality and support of top management are very important variables for IS success.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.225-233
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• 2012

The purpose of this study is to observe effect on a result of a business performance depending on the business scale and the success factors of quality. Verified hypothesis of the quality of success factors and business performance are conducted in order to conduct this research. The results of hypothesis testing can be summarized as follows : First, depending on the size of the company, quality of corporate success factors in the management and significant positive was verified to be in effect. Second, depending on the size of the small business companies' human resource management, product/process is significantly positive in effect and medium companies' quality information, quality of suppliers in the commercialization of technology is significantly positive in effect. Third, depending on the size of the small business companies' human resource management, product/process financial performance is significantly positive in effect and mid-sized companies, suppliers in the quality significantly positive show the influence of financial performance. The results of measurement through the size of the enterprise and the successful factors of quality impacts on business performance directly.

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

• Management & Information Systems Review
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• v.30 no.4
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• pp.229-251
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• 2011

This paper will discuss the significance of cooperation between supply chain companies and its components. In addition, it will analyze how this effects the outcome in distribution focusing on companies in the steel pipe industry. In sum, theory 1 was chosen since as a result of hierarchical regression analysis communication, IT, partnership, and success monitoring, which are all components of the supply chain cooperation, are proven to affect the absolute distribution success positively. According to the standardized beta coefficient the most important factor for distribution success is communication, followed by IT, partnership and lastly success monitoring. Moreover, according to theory 2, communication, IT, partnership and success monitoring all affect relative distribution success positively. Most important factors are communication, IT, partnership, success monitoring. Thus, since the most crucial factor in deciding both the absolute and relative distribution success is communication, steel pipe companies are advised to execute strategic use.

• Fire Science and Engineering
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• v.18 no.1
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• pp.13-17
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• 2004

Purpose: The purpose of this study is to predict a reasonable direction to design a pertinent educational program in the future by evaluating an adult CPR(Cardiopulmonary Resuscitation) skill performed by EMTs engaged in fire services organization and comparing the CPR success rate of factors as like a duty place and licensed year. Methods: We studied CPR skill by the use of a CPR manikin(Skillmeter Resusci Annie, Laerdal company). The study population consisted of 320 EMTs. Every EMT performed four cycle after investigating the manikin for 2 minutes. We regarded chest compression with 100 times in a minute as the 100% success rate. We analysed the skill of chest compression, ventilation and chest compression times success rate by the records printed in the CPR paper. Results: The average success rate of chest compression was 59.42$\pm$29.26% and ventilation 49.22$\pm$29.65%. The success rate of manual CPR was different between chest compression and ventilation. Also the success rate of chest compression times was high relatively as a 87.32$\pm$9.14%(p=0.000). For the CPR skill, ventilation was lowest as 49.22%. The factors such as duty place and licensed year did not influence the CPR success rate (p>0.001). Conclusion: We could have conclusion that CPR training should be shared more time in ventilation than in chest compression. Also we could reach to a conclusion that it is important to increase the times of CPR training for improving the accuracy of CPR and that the continuing education of CPR training frequency might be more than four times in a year.

• Clinics in Shoulder and Elbow
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• v.26 no.2
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• pp.175-181
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• 2023

Background: Acromioclavicular (AC) osteoarthritis (OA) is a frequent pathology of the shoulder in elderly patients. Drug injection plays an important role in treatment of AC OA. Literature has demonstrated excellent short-term results regarding shoulder function and pain. However, mid- to long-term results are lacking. The aim of this study was to assess the efficacy of a single intra-articular AC injection in patients with AC OA and to identify predictive factors for success. Methods: A retrospective study was performed to analyze success rate, shoulder function, and pain perception after a single intra-articular injection in patients with AC OA. Success was defined as the absence of reinterventions such as additional injection or surgery. Outcome measures were 1-year success rate and clinical outcome scores of Numeric Rating Scale (NRS) for pain, Oxford Shoulder Score, and Subjective Shoulder Value. Results: Ninety-eight patients participated in this study. At a median final follow-up of 0.8 years (interquartile range, 0-6), 57 of these patients (58%) had undergone a reintervention. The 1-year success rate was 47% (95% confidence interval, 37%-57%), with NRS at rest as the sole factor significantly associated with success. Thirty patients not requiring reintervention reported significant improvement from baseline for all reported outcome measures at final follow-up. Conclusions: AC injections offer a 1-year success rate of 47%. The AC injection produces good mid- to long-term clinical outcomes regarding shoulder function, quality of life, and pain perception in one-third of patients. Further research is essential to analyze mid- to long-term outcomes of AC injections.