• Asian Journal of Business Environment
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• 제11권2호
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• pp.5-13
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• 2021

Purpose: This paper aims to study the fishing capacity of the shrimp trawlers in the Aru and Arafura Sea. Research design, data and Methodology: The abundant shrimp resources call for its sustainable use to advance economic activity. Time-series data of effort and catch from shrimp trawlers from 1980-2015 were utilized. The technical efficiencies of the vessels and the target capacity of the shrimp fishery were estimated using Peak to Peak Method. Results: Arafura's shrimp fishery presents high technical efficiency, which is suggested by the high scores of its fishing capacity utilization. The issuance of a ministerial decree on the prohibition of the use of trawls has impacted the plummeting of Arafura's shrimp trawler production right after the regulation implemented in 2015, which is far below the total production of the Arafura's shrimp trawler in 1980. Today, the Aru and Arafura Sea has different sets of fishing gears that are dominated by Squid Jigging and gillnet vessels. Conclusions: Arafura shrimp fishery performs high technical efficiency, which is indicated by the high utilization value of its catching capacity ranging from 71% to 100% annually from 1980 to 2015 This has shown that the resource-utilization has shifted from shrimps to other economically important species during the post trawl ban such as squid and pelagic. Any future intention to utilize shrimp resources, interaction of gears harvesting shrimp with current gears should be well considered in the policy making process.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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• pp.506-507
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• 2015

Our scheme going to use the advanteges of shadow technical and use it in flash memory. With our scheme we can maintain the system from corruption by making a capy table for table mappinng. It is make us to recover the data easily when something unusually happen to the system.

• 경영정보학연구
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• 제17권2호
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• pp.101-132
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• 2015

국가기술자격은 개인의 직업능력을 향상시키고, 기업과 국가의 경쟁력을 제고시키는 중요한 기능을 가지고 있다. 특히 '자격'은 '학력'과 함께 개인의 능력을 측정하여 객관적으로 보여주는 신호기능을 가지고 있고, "직무수행에 필요한 지식 기술 소양 등의 습득정도가 일정한 기준과 절차에 따라 평가 또는 인정되는 것"이다. 자격을 취득하기 위한 학습은 스마트러닝을 통하여 많이 이루어지고 있다. 최근 인터넷의 발전과 정보통신기술의 혁명으로 인해 정보와 지식을 중요시하는 지식사회로 진입하고 있다. 이러한 시대적 교육제도 변화에 발맞추어 최근 급성장을 거듭하고 있는 스마트러닝은 시간적, 공간적 제약 없이 교수-학습이 이루어지고 있다. 본 연구의 목적은 인간 본연의 심리욕구를 다룬 대표적인 이론인 기본심리욕구 요인과 인간의 동기를 결정지을 수 있는 ARCS 동기이론이 상호작용성과 학습몰입, 즐거움을 통해 스마트러닝의 지속적 사용의도에 영향을 미치는 인과관계를 실증 검증 하고자 한다. 구체적으로 ARCS 동기유발에서의 주의집중, 관련성, 자신감, 만족감을 통해 학습몰입에 어떠한 영향을 주는지 실증적으로 분석하고자 한다. 이를 통해 국가기술자격증 스마트러닝에서 수강생의 내재동기화를 지지함으로써 스마트러닝의 학습자들은 지속적 사용의도가 있다. 따라서 스마트러닝을 통한 국가기술자격증의 취득의 목적을 달성하여 기술의 습득은 물론 산업의 발전과 자격증의 활성화에 기여할 수 있다.

• Asia pacific journal of information systems
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• 제10권2호
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• pp.71-95
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• 2000

Despite repeated exhortation about the importance of social and human dimensions of systems development, socio-organizational issues continue to be neglected and ignored in the current information systems practice. A review of the human information processing literature suggests that the reasons for this continuing lack of attention to social issues may be found in the limitations of human cognition and information processing capacities. Bostrom and Heinen(1978) and Kumar and Bjorn-Anderson(1990) also suggest that the inadequate attention to social problems and issues by the analyst could originate from the analysts limited problem perception. This research explores how the representation forms of information systems(IS) methodology used in understanding and modeling the problem situation affect such systems development problem perception. Typically, a system development methodology prescribes the use of system models(i.e., system representations) to understand, analyze, evaluate, and design the information system. Given the size and complexity of information systems, and the abstraction and simplification underlying the modeling process, system representations usually depict only a limited set of aspects of the system. Thus, a methodology whose representations are limited to technical aspects will tend to limit the analyst's perspective to a technical one only(Kumar & Welke, 1990). Following the same line of argument, in contrast, it is the conjecture of this study that a methodology which specifies both social and technical aspects of IS development will help the analyst develop a more comprehensive view of the IS problem domain. Based on the above concept, a theoretical model was first developed which explained the systems analysts cognitive process. Drawing on this model, a research model was developed hypothesizing the impacts of representation forms on problem identification. The model was tested using a laboratory experiment with 70 individual subjects. A special computer software was developed with a hypermedia authoring tool to conduct the experiments in order to avoid experimenter biases and to maintain consistency in administrating repeated experiments. The program, designed to replace the experimenter, consisted of functions such as presenting the subjects with problem material, asking the subjects questions, and saving the typed answers of the subjects. The results indicate that representation forms strongly influence problem identification. It was found that the use of the socio-technical representation form led to the findings of more social problems than the use of technical representation form. The results imply significant effects of representation forms on problem findings and also suggest that the use of adequate representation forms may help overcome dysfunctional effects of our limited information processing capacity.

• 산업융합연구
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• 제18권5호
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• pp.14-22
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• 2020

본 연구에서는 조직혁신과 마케팅혁신 같은 비 기술혁신 활동 이외에 전유성은 어떠한 메커니즘을 가지고 기업의 경영성과에 영향을 미치는지에 대해서 실증분석을 통해 검증하고자 하였다. 이에 과학기술정책연구원(STEPI)에서 실시한 '2018년 한국기업혁신조사: 제조업부분'으로부터 자료를 수집하여 분석 데이터로 활용하였고 회귀분석을 통해 가설을 검증한 결과 비 기술혁신은 경영성과를 향상시키고, 전유성은 비 기술혁신에 영향을 받으며, 경영성과 사이에 매개 요인으로 작용함을 실증분석을 통해 검증하였다. 이러한 것을 통해 최근 연구되고 있는 비 기술혁신에 대하여 비 기술혁신과 함께 전유성을 고려하는 것이 의미 있는 연구가 될 수 있음을 도출하였고, 실무적 시사점으로는 전유성의 확보가 기업의 경영성과를 결정하는 중요한 요인이기에 기업에서는 전유성 확보를 위한 전략적 통찰이 필요하다. 한계점으로는 비 기술혁신과 전유성의 매개효과를 가지는 것을 검증하는 연구로 제한하였으며, 추후 연구에는 보다 다양한 검증 방법을 통해 기업의 경영성과에 미치는 연구로 발전해 나가는 것도 가능할 것으로 판단된다.

• 펄프종이기술
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• 제47권4호
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• pp.136-143
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• 2015

It is well known that the use of PCC as a filler for printing paper making brought about the serious deterioration of strength properties of paper, although PCC could be helpful to reduce the energy consumption. The use of modified PCC with NCC was tried to solve and/or reduce the strength deterioration problem. NCC was prepared from SwBKP by the acid hydrolysis. There was no significant changes in chemical properties and crystalline structure. However the cyrstallinity of NCC was higher than those of SwBKP. The different dosage of NCC was applied to modify the properties of PCC. 0.1% of NCC dosage was enough to improve ash retention and paper properties. The use of modified PCC with NCC as a filler improved ash retention, bulk, opacity and formation without the serious deterioration of strength properties. Thus the use of modified PCC with NCC might be helpful for not only reduction of energy consumption but also increase of filler dosage without the significant sacrifice of strength properties by the optimization of retention system.

• Asia pacific journal of information systems
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• 제24권2호
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• pp.115-140
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• 2014

In a dynamic business environment, the enterprise mobility solution for a mobile office (EMS) has been adopted to increase the competitive edge of organizations. By using an EMS, performance is expected to be enhanced. However, the related literature has paid little interest to the impact of system quality in an EMS on the information quality produced by the system. On the basis of socio-technical theory, we posited that the system quality in an EMS influences information quality. In addition, we investigated the relationships between the above two qualities, use and job performance by considering task mobility and task inter-dependence as control variables. Survey respondents were from many industries using EMSs. The result of structural equation modeling shows that system quality positively affects information quality, and other relationships in the model are proven statistically significant. We also found that system quality has stronger impacts on use and job performance than information quality does in EMS. However, system quality does not affect use in case both task mobility and task inter-dependence exist. The theoretical and practical implications of the result are discussed in the paper.

• 품질경영학회지
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• 제45권3호
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• pp.583-594
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• 2017

Purpose: The purpose of this study is how personal information protection risks affect the intention to use domestic smart banking services. VAM(Value based Adoption Model) model is validated as a theoretical background, selecting ease of use, usefulness and perceived security as a benefit factor, and considers perceived cost, technical complexity, and risk of personal information leakage as a sacrifice factor. Methods: The method of this study used questionnaire survey to collect 365 data on suer's perception on smart banking services, and also performed a structural equation modeling method using by AMOS 23. Results: The result of this paper shows that all hypothesis are accepted statistically significant except 1 hypothesis. Conclusion: This research is concluded that perceived value is affected on statistically positive impact on ease of use, usefulness and perceived security, and negative impact on perceived cost and risk of personal information violation, not statistically technical complexity.

• 한국IT서비스학회지
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• 제22권4호
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• International journal of advanced smart convergence
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• 제11권4호
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.