• 한국정보시스템학회:학술대회논문집
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• 한국정보시스템학회 2005년도 추계학술대회 발표 논문집
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• pp.419-434
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• 2005

E-Trade is expected to dominate the global commerce in the 21th century and thus is being introduced as a major policy assignment for every development country. E-Trade has the potential to accelerate existing trends and introduce new ways of conducting traditional trade. Most of companies and countries recognize it as inevitable changes for the increase of their own competitive, and are willing to adopt the e-Trade systems. In this study, it was focused to analyze the factors affecting the adoption of e-Trade in small and medium enterprises using Technology Acceptance Model(TAM).

• Asia Pacific Journal of Business Review
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• 제2권2호
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• pp.1-15
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• 2018

The purpose of this paper is to find out the factors responsible for purchase of LED (light-emitting-diodes) bulbs & tubes among Indian consumers and how much they are ready to replace their existing lighting system with LED fittings. A multiple regression model has been employed to investigate the factors affecting the buying decision of LED lamps in place of CFL and incandescent lamps. Eleven motives for adopting LED lamps has been identified viz. price, quality, energy saving, durability, brand, promotion, CSR, & environmental consciousness. In addition the effect of demographic variables like gender, age, household income on the purchasing decision of LED has also been examined. A total 150 respondents were contacted visiting different outlet of electrical shops of Northern Delhi. The study may helpful for the companies to decide their marketing strategies to promote LED Lamps among the consumers with an aim to save energy and save environment.

• 한국정보시스템학회지:정보시스템연구
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• 제17권3호
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• pp.59-77
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• 2008

This study compares the reasons why targe and Small companies are adopting electronic commerce(e-commerce) based on an assumption of difference between two groups of companies. We collected data for contemporaneous analysis by classification with two groups of companies in Korea and developed an integrated model from the empirical studies and made Question papers for inspection of created hypothesis. Hypothesis is composed with nine factors ; Customers, Suppliers, Pertner Firms, Competitors, Relative Advantage, Cost Compatibility, CEO's Innovativeness and CEO's Involvement. The research shows Large company is influenced significantly by Customers, Relative Advantage, Cost, CEO's Innovativeness and Small company is by Competitors, CEO's Involvement.

• 한국IT서비스학회지
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• 제5권3호
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• pp.45-62
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• 2006

The research is intended to satisfy two interesting research purposes: one is to examine activities of both BSC adotion phase and implementation phase under carrying BSC project. The second purpose is to analyze the influence from those activities towards innovating business world. This study was conducted thru online questionnaires via online survey system during 3 months for targeting mainly on business users and consultants. The findings of the study suggest that employee's involvement, BSC information sharing, collaboration cross task related teams have major roles to operate BSC successfully. From findings, KPI choice, top-down goal allocation, budgeting allocation have strong influences on upgrading business innovations. Those businesses like to considering adoption of BSC can benefit from the findings of the research.

• International Journal of Quality Innovation
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• 제8권1호
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• pp.1-14
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• 2007

The Six Sigma and Lean Production methodologies suggest that creating value for customers is the objective of a production process or an organisation. In the production context, "added value" dominates the discussion about the creation of value to customers. However, "added value" is often only defined conceptually or discussed at a strategic level, and the link between added value and customer value has not yet been well conceptualised. Therefore, the purpose of the paper is to develop a methodology to measure added value in order to complement the existing performance measures in Six Sigma and Lean Production by conceptualising the link between customer value and added value. The conceptual link "confirms" that quality, time, and costs are the elements of added value, which are transformed into a metric to express customer value. The implementation of the metric recommends the adoption of Lean (Six) Sigma and Lean Accounting (Activity Based Costing), which thus implies that "leanness" is an important "feature" of added value.

• 국제초고층학회논문집
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• 제10권1호
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• pp.55-62
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• 2021

The paper reports the result of a 2-year long research conducted by CTBUH on the design possibilities enabled by the Ropeless and Multidirectional elevator systems, investigating how such a significant innovation (or better to say revolution) in the vertical transportation could affect tall buildings first and cities then. The purpose of the study is to prefigure the adoption of ropeless and multidirectional cabins for tall buildings mobility, with the aim to overcome the evolutionary bottleneck of the high-rise building type due to the exclusively vertical direction of transport, which limited, over the years, the design possibilities in terms of height, shape and relations with the surrounding environment. CTBUH research team, together with professionals in the field and supporting academic advisors, developed a series of design considerations on plan organizations, dispatching alternatives and on the integration of horizontal direction in the circulation, with the aim of anticipating potential and criticality arising from the application of ropeless and multidirectional systems.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권9호
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• pp.2904-2926
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• 2022

Currently, diabetes is the most common chronic disease in the world, affecting 23.7% of the population in the Kingdom of Saudi Arabia. Diabetes may be the cause of lower-limb amputations, kidney failure and blindness among adults. Therefore, diagnosing the disease in its early stages is essential in order to save human lives. With the revolution in technology, Artificial Intelligence (AI) could play a central role in the early prediction of diabetes by employing Machine Learning (ML) technology. In this paper, we developed a diagnosis system using machine learning models for the detection of type 2 diabetes among adults, through the adoption of two different diabetes datasets: one for training and the other for the testing, to analyze and enhance the prediction accuracy. This work offers an enhanced classification accuracy as a result of employing several pre-processing methods before applying the ML models. According to the obtained results, the implemented Random Forest (RF) classifier offers the best classification accuracy with a classification score of 98.95%.

• 반도체디스플레이기술학회지
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• 제20권4호
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• pp.83-88
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• 2021

Cloud services have become the core infrastructure of the digital economy as a basis for collecting, storing, and processing large amounts of data to trigger artificial intelligence-based services and industrial innovation. Recently, cloud services have been spotlighted as a means of responding to corporate crises and changes in the work environment in a national disaster caused by COVID-19. While the cloud is attracting attention, the speed of adoption and diffusion of cloud services is not being actively carried out due to the lack of trust among users and uncertainty about security, performance, and cost. This study compares and analyzes the "Cloud Service Quality and Performance Management System" and the "Cloud Service Certification System" and suggests complementary points and improvement measures for the cloud service quality and performance management system.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.2062-2066
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• 2022

Nuclear energy sources are indispensable in cost effectively achieving carbon neutral economy, where public opinion is critical to adoption as the consequences of nuclear accident can be catastrophic. In this context, discussion on spent nuclear fuel is a prerequisite to expanding nuclear energy, as it leads to the issue of radioactive waste disposal. Given the dearth of study on spent nuclear fuel public acceptance, we use text mining and big data analysis on the news article and public comments data on Naver news portal to identify the Korean public opinion on spent nuclear fuel. We identify that the Korean public is more interested in the nuclear energy policy than spent nuclear fuel itself and that the alternative energy sources affect the position towards spent nuclear fuel. We recommend relating spent nuclear fuel issue with nuclear energy policy and environmental issues of alternative energy sources to further promote spent nuclear fuel.