• Journal of the Korea Society for Simulation
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• v.31 no.2
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• pp.1-10
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• 2022

The packaging plastic manufacturing(blown film) industry has long developed in China, but most of them are small/medium-sized enterprises, and it is very rare to have appropriate operation plans suitable for their own business. The packaging plastic manufacturing industry(blown film) follows a typical Make-To-Order method, and the sequence of processing orders is very important. Waste of materials incurred by frequent conversions of production cannot be avoided, and generally, related costs incurred during conversion production are also different. Therefore, this study developed a job sequence determination model for improving operating profits using @RISK simulation software, compared and analyzed 3 actionable clustering treatment methods proposed by technical managers and field experts under the actual situation of the factory.

• Korea Trade Review
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• v.45 no.6
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• pp.157-179
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• 2020

This study presented the results of meta-analysis through topic modeling among the papers published in the Journal of the International Trade Association for the purpose of presenting academic research trends in the field of trade insurance and future research directions. Among the total 2,010 papers included in the Journal of the Korea International Trade Association, the analyzed paper covers the subject of trade-related insurance. According to detailed topics, 33 marine insurance (42.31%), 16 export insurance (20.51%), 11 hull insurance (14.10%), and 18 others (23.08%), and 4 other products liability insurance. According to the empirical analysis results, Topic 1 was classified as marine insurance, airworthiness, notice obligation, and collateral, and Topic 2 was derived as a representative topic for loading insurance, emergency risk, and immunity as export insurance. And Topic 3 was classified as vessel, sinking and container in relation to ship insurance, and Topic 4 was analyzed as an important topic such as manufacture and British marine insurance. Through the analysis results, we selected the representative topic used for the trade insurance topic and looked at the status of major research. Trade insurance is an area that requires the development of more theoretical and practical research subjects as an optimal risk management means in international trade transactions. To this end, first, support from the Korea International Trade Association is needed to establish a continuous research subject sharing system for the development of research subjects in the field of trade insurance. Second, academic journal operation management must be continuously managed in which academic research papers can be submitted and published.

• Korean Journal of Clinical Pharmacy
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• v.34 no.2
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• pp.134-139
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• 2024

Background: Increasing numbers of studies and research about artificial intelligence (AI) and machine learning (ML) have led to their application in clinical trials. The purpose of this study is to analyze computer-based new technologies (AI/ML) applied on clinical trials registered on ClinicalTrials.gov to elucidate current usage of these technologies. Methods: As of March 1st, 2023, protocols listed on ClinicalTrials.gov that claimed to use AI/ML and included at least one of the following interventions-Drug, Biological, Dietary Supplement, or Combination Product-were selected. The selected protocols were classified according to their context of use: 1) drug discovery; 2) toxicity prediction; 3) enrichment; 4) risk stratification/management; 5) dose selection/optimization; 6) adherence; 7) synthetic control; 8) endpoint assessment; 9) postmarketing surveillance; and 10) drug selection. Results: The applications of AI/ML were explored in 131 clinical trial protocols. The areas where AI/ML was most frequently utilized in clinical trials included endpoint assessment (n=80), followed by dose selection/optimization (n=15), risk stratification/management (n=13), drug discovery (n=4), adherence (n=4), drug selection (n=1) and enrichment (n=1). Conclusion: The most frequent application of AI/ML in clinical trials is in the fields of endpoint assessment, where the utilization is primarily focuses on the diagnosis of disease by imaging or video analyses. The number of clinical trials using artificial intelligence will increase as the technology continues to develop rapidly, making it necessary for regulatory associates to establish proper regulations for these clinical trials.

• Management & Information Systems Review
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• v.4
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• pp.349-374
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• 2000

With rapid advances on Interactive technology, and the growing popularity of the Internet, Internet shopping receives considerable attention in both the popular-press and academic journals. The Internet has enormous commercial possibilities. But it is a new and dynamic medium that poses special challenges for marketers. The revolutionary nature of the Internet mandates that established wisdom on consumer marketing along with marketing-mix strategies has to be reexamined and perhaps radically revised. In order to assist marketers in this endeavor it is critical to understand consumers' buying behaviors of Internet shopping. But research in this area still very much its infancy. This study examined previous researches of Internet shopping and developed conceptual framework of Internet shopping modes. Additionally, this study examined empirical investigation of Internet shopping. Preliminary results suggests that there are significant differences in individuals' perceptions of Internet shopping and traditional shopping modes. Various factors influences on consumers' buying behavior on Internet shopping. There are Individuals' factors(personality, lifestyle, prior experience, perceived risk etc), shopping mall factors(trust, vividness, security, promotion, etc), product characteristics(product category, brand, etc), situational factors(time pressure, locational constraints etc), social/cultural factors(Norms, importance of other peoples etc). Additionally, We conducted empirical study of the impact of the Internet on consumer shopping behavior. We gathered consumers' reactions via an open-ended survey using a sample of 90 shoppers. We related the reactions to the factors of consumers' satisfaction or dissatisfaction of the Internet shopping. Consequently, there are many questions regarding factors that might influence Internet shopping. From theoretical and practical perspectives, studies that examine these factors would seem to offer much to the discipline. This paper has attempted th provide insights and direction of future empirical examination of Internet shopping.

• Korean Journal of Environmental Agriculture
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• v.39 no.1
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• pp.10-19
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• 2020

BACKGROUND: This study was to carry out risk assessment of contamination of cadmium (Cd), lead (Pb), and inorganic arsenic (I-As) in agricultural products of 25 crops from the abandoned mine areas. The 36 typical investigation sites located in Gyeongbuk provincial area were selected by considering the heavy metal levels, that had been known that the amount of the heavy metals exceeded the contamination level based on the previous survey. METHODS AND RESULTS: Cadmium, lead, and total arsenic (T-As) concentrations were determined using microwave device and ICP-MS. Inorganic arsenic was determined by HPLC-ICP-MS. The limits of quantification for heavy metals were 0.59 ㎍/kg for Cd, 0.42 ㎍/kg for Pb, 0.55 ㎍/kg for T-As, and sum of As (III) (1.74 ㎍/kg) and As (V) (2.25 ㎍/kg) for I-As, respectively. The contents of Cd, Pb, and I-As (only rice) were N.D.-0.958 mg/kg, N.D.-0.227 mg/kg, and 0.082 mg/kg, respectively, in the agricultural products. For risk assessment, dietary exposures of heavy metals through usual intake were 5.20×10^-4-7.15×10⁰ ㎍/day for Cd, 7.00×10^-5-7.75×10^-1 ㎍/day for Pb, and 1.17×10¹ ㎍/day for I-As, taking 0.01-14.37%, 0.01-2.05%, and 15.16% as risk indices, respectively. CONCLUSION: It requires to consider the critical levels of heavy metals in agricultural products due to unexpectedly high levels in a few places, while concentrations of heavy metals in the samples were relatively low in most areas.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.377-386
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• 2013

The purposes of this study is to examine the effect of fitness Among Characteristics of CEO, Company's innovation and Management Control on Organization Performance. CEO characteristics are investigated by the risk-taking propensity, need for achievement. Company's Innovation are measured by product innovation, technological innovation. Management control are applied by action control and result control. Organization performances are analyzed by internal performance, growth performance, financial performance. the research methodology applied in this paper is contingency theory by Drazin and Van de Ven(1985) - selective approach, Interaction approach, system approach. This paper was applied by the Three way interaction term among CEO characteristics, Company's Innovation and Management control to analyze the influences to the organization performances. As a result of this paper, there are the differences between Two way interaction terms or three way interaction terms to affect the organization performances. this paper can confirm the desirable combinations between two or three variables(CEO characteristics, Company's Innovation and Management control) to affect significantly to the particular organization performance.

• Journal of East Asia Management
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• v.4 no.1
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• pp.53-77
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• 2023

Modern company faces an uncertain future and a competitive environment and are seeking new technologies and creative products to ensure the corporate growth and survival in the market through continuous innovation. "University Industry Cooperation(UIC)" is a point of contact for overcoming the crisis faced by companies and universities in this era and a cooperation platform for mutual prosperity. As a subsidiary of a university, "Technology Holding Company(THC)" is attracting attention as a new window for UIC in Korea. The role of THC is to establish and foster the business opportunities of their subsidiaries and to return investment profits to the university ecosystem again. But recently, the life cycle of technology is getting shorter, and the development cost is steadily increasing. In particular, with the increase of hybrid projects based on convergence and combination, the risk of conducting research(R&D) and new product development(NPD) projects is gradually increasing. A PMO refers to a project management organization that can contribute to improving the success rate of projects with increasing uncertainty by supporting project visibility and appropriate decision-making. The purpose of this study is to raise a research question on whether THC's corporate performance can be improved when "Project Management System(PMO Service)" is introduced into the subsidiary incubation system of THC. This study proposes several research methods to identify the relationship between the introduction of PMO and the corporate performance of THC.

• Korean Management Science Review
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• v.28 no.3
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• pp.113-124
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• 2011

Today, change in the information technology field is very fast, the innovative technology or product to be released for the other sectors tend more frequent. In this situation, most of potential users should think carefully about the adoption of innovative technology such as Web2.0. On the other hand, the adoption or acceptance of innovative technology has the paradox of technology. In order to verify the acceptance factors of innovative technology, we are proposed the model based on the DOI and MIR. Conceptually, we examine the four independent variables such as relative benefit, compatibility, complexity, risk that are divided into two parts as positive and negative, a moderating variable effect on independent variables that is the social influence, and their impacts on the acceptance of new technology. The questionnaire which consists of 100 questions was used to analyze the result to IT suppliers and customers in public sector. Finally, our research model was tested in an empirical study, which confirmed all of our hypotheses.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.5
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• pp.442-450
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• 2014

Technology opportunity discovery (TOD) based on technological capability is a process which identifies new product and technology items that can be developed by utilizing or improving a firm's existing products or technologies. By taking into consideration the investment risk of R&D and its practicality, developing technological capability-based TOD methodology is considered to be important for both business and research. To this end, we propose a technological capability-based TOD method and its system using TOD knowledge base. The method can support four types of TOD cases, which are based on a firm's existing technologies and products, and TOD knowledge base is developed by using function information extracted from patent documents. In this paper, we introduce the overall framework of the method and provide application examples on the four TOD cases using the prototype system.

• Korean Management Science Review
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• v.32 no.1
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• pp.1-13
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• 2015

We estimate the option value embedded in reverse mortgages using the framework of European put option. The reverse mortgage is a very useful financial product for senior citizens who own homes but do not have a cash income while it is a high risk one from lender's perspective. One of benefits of the reverse mortgages is that the debt limit is restricted to the scope of the disposition price of the collateralized house, which is considered a put option to borrowers. The put option is evaluated using Black-Scholes model and a sensitive analysis is performed on variables such as discount rate, volatility, and time period. We confirm that the option value of reverse mortgages increases rapidly as the borrowers live longer than their life expectancy. The results of this study can be used to promote the reverse mortgage program more effectively in order to solve the problem of income shortage of the elderly homeowners.