• Asian Journal of Business Environment
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• v.12 no.4
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• pp.25-34
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• 2022

Purpose This research develops the expanded Technology Acceptance Model (TAM) to investigate the relationship between perceived usefulness and perceived ease of use with satisfaction and loyalty by considering the role of sharia compliance, commitment, and trust. Research design, data and methodology: A data source is 300 respondents from a self-administered survey. The target population is Muslims who are customers of Islamic banks, with age at least 18 years, and used e-banking to make payment transactions. The analysis methods are MANOVA and Multiple Linear Regression. Results: The results suggest that intention to use and actual behavior variables are replaced with satisfaction and loyalty. Commitment is not recommended, while trust is an explanatory variable that can be used as an external variable. Conclusions: It is important to increase satisfaction and commitment also concentrate to various aspects of sharia compliance to increase customer's loyalty to use e-banking. The fulfillment of sharia compliance by Islamic banks will increase the Islamic bank customers loyalty.

• Journal of the Korean Institute of Navigation
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• v.25 no.2
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• pp.149-158
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• 2001

This paper presents the educational methodology shipboard training methods of Maritime Colleges in U.S.A. and the fields of engagement in business of the graduates from them. There are two Maritime Academies, i.e. U.S. Merchant Marine Academy (USMMA) and U.S. Coast Guard Academy, which are supported by federal government and six Maritime Colleges operated by each State. Maritime Administration (MARAD) in the Department of Transportation (DOT) supports the training of merchant marine officers and crew members with a focus on safety in U.S. waterborne commerce. The shipboard training methods are not unique, but have various process. One is continuous sea term training onboard during sophomore (100 days) and junior year (200 days) in case of USMMA, the other is summer sea term training onboard every three months during freshman, sophomore and junior years in case of SUNY Maritime College. They offer also one month ship simulator training ashore. The employment status for the 1999 year graduates from USMMA shows 43 percent in the field of maritime afloat, 34 percent of maritime ashore, 22 percent of active duty military and 1 percent of others.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.95-108
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• 1999

The purpose of this study is to find the diversification of the methodology of KM (knowledge management) Benchmarking which has been developed rapidly as a new managing paradigm all over the world for the 21th century. In particular, at the point of that it has been going to be inevitable for domestic companies to adopt and utilize a knowledge management system as the pending assignment for surviving in the 21th century, this study thus can enable them to support an adoption of KM and suggest directions for companies. Therefore, the successful cases of KM adoption all through the world have been analyzed by this study with the classifications of the industrial fields, work-flows from the view point of learning organizations and information technologies. As a result, the KM type bearing the specific of the respective industry has not been unrolled, and the common element in the analysis of work-flows has been found. Based on the result, it is desirable for the companies to adapt KM, extracting necessary work field for KM. Consequently speaking, they need to benchmark and adopt the KM methodology based on the extracted results.

• Nuclear Engineering and Technology
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• v.48 no.1
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• pp.169-174
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• 2016

This article describes a comprehensive methodology for the evaluation of the middle part of nuclear fuel cycles. Evaluation of fuel cycles is basically divided into two parts. The first comprises nuclear calculation, i.e., creation of the strategy for nuclear fuel reloading and core design calculations. The second part is the business-economic evaluation of the selected reloading strategy, which can be done either by financial analysis or economic analysis. The financial analysis incorporates the perspectives of a company while the economic analysis can be used primarily by national economists or politicians. This methodology was applied to a case study that is focused on impacts of switching from a 12-month to an 18-month fuel cycle strategy for Water-Water Energetic Reactor (VVER)-1000 reactors.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.415-424
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• 2005

The rapid growth of blog has caused information overload where bloggers in the virtual community space are no longer able to effectively choose the blogs they are exposed to. Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Collaborative Filtering (CF) is the most successful recommendation method to date and used in many of the recommender systems. Therefore, we propose a CF-based recommender system for bloggers in the virtual community space. Our proposed methodology consists of three main phases: In the first phase, we apply the "Interest Value" to a recommender system. The Interest Value is a quantity value about user preference in virtual community, and can measure the opinion of users accurately. Next phase, we generate the neighborhood group based on the Interest Value. In the final phase, we use the Community Likeness Score (CLS) to generate the top-n recommendation list. The methodology is explained step by step with an illustrative example and is verified with real data of a blog service provider.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.35 no.7
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• pp.187-195
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• 2019

In December 2015, The Paris Agreement was adopted to undertake ambitious efforts to combat climate change. Korean government announced its goal of reducing the country's greenhouse gas emissions by up to 37% below business as usual projections by 2030 in 2015. The purpose of this study was to set up the calculation methodology of GHG emission($CO_{2e}$) in building sector and to estimate the annual GHG emission in building sector based on national energy consumption statistic. The GHG emission from buildings is about 135.8 million ton $CO_{2e}$ as of 2015, taking up about 19.6% of Korea's entire emission and is about 144.7 million ton $CO_{2e}$ in 2017. The GHG emission of building sector is increasing at annual rate of 2.0% from 2001 to 2017. The GHG emission from electricity consumption in buildings is 91.8 million ton $CO_{2e}$ in 2017, is the highest $CO_2$ emission by energy source. The results show that the intensity of GHG emission of residential building sector is $40.6kg-CO_{2e}/m^2{\cdot}yr$ and that of commercial building sector is $68.4kg-CO_{2e}/m^2{\cdot}yr$.

• Journal of Environmental Impact Assessment
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• v.9 no.3
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• pp.203-214
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• 2000

Health risk assessment is applied to streamlining LCA(Life Cycle Assessment) using Monte carlo simulation for probabilistic/stochastic exposure and risk distribution analysis caused by data variability and uncertainty. A case study was carried out to find benefits of this application. BTC(Benzene, Trichloroethylene, Carbon tetrachloride mixture alias) personal exposure cases were assumed as production worker(in workplace), manager(in office) and business man(outdoor). These cases were different from occupational retention time and exposure concentration for BTC consumption pattern. The result of cancer risk in these 3 scenario cases were estimated as $1.72E-4{\pm}1.2E+0$(production worker; case A), $9.62E-5{\pm}1.44E-5$(manger; case B), $6.90E-5{\pm}1.16E+0$(business man; case C), respectively. Portions of over acceptable risk 1.00E-4(assumed standard) were 99.85%, 38.89% and 0.61%, respectively. Estimated BTC risk was log-normal pattern, but some of distributions did not have any formal patterns. Except first impact factor(BTC emission quantity), sensitivity analysis showed that main effective factor was retention time in their occupational exposure sites. This case study is a good example to cover that LCA with probabilistic risk analysis tool can supply various significant information such as statistical distribution including personal/environmental exposure level, daily time activity pattern and individual susceptibility. Further research is needed for investigating real data of these input variables and personal exposure concentration and application of this study methodology.

• Journal of Distribution Science
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• v.15 no.6
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• pp.37-46
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• 2017

Purpose - The paper aims to propose an optimization model for supporting the buyer-seller negotiations. We consider the price, quality, and delivery as evaluation criteria, also recognized as objectives for negotiation. Research design, data, and methodology - The methodology used in this paper involves the input-oriented DEA with the inverse optimization. Under the existence of several potential suppliers, the price would be considered to be the decision variable to conclude the negotiation so as to meet the desired level of the quality and delivery. The data set for six suppliers with three criteria is examined by the proposed approach. Results - We present the decision aid model by displaying the price spectrum as the changes of desired output levels. It overcomes the shortcomings from previous researches mainly based on the discrete types of scenario generations. This approach shows that the obtained results help the buyer understand the trade-offs between price and performance when he/she considers the negotiation. Conclusions - The paper contributes to the numerical models for buyer-supplier negotiation in that the model for the supplier evaluation and selection is closely linked with the model for negotiation. In addition, it eliminates the unrealistic negotiation strategy, and provides the negotiation strategies that the buyer would not shift the burden on suppliers by maintaining the current efficiency.

• Korea Trade Review
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• v.46 no.1
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• pp.23-38
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• 2021

This paper investigated the preference change of payment terms in international trade along with counteroffer or first offer conditions of the other parties. Studies on trade payment terms have mainly focused on payment term determination factors such as firm size, product price level, country credit rate, etc. We tried to find other factors affecting payment terms choice, during the negotiation process. We applied behavioral economics theories such as 'Status Quo Bias' and 'Anchoring effect' to build our research model. To prove the existence of the above effects, we proceeded with field experiments to the exporting companies in Alibaba.com. Both 'Status Quo Bias' and 'Anchoring effect' were found in the field experiment. Most of the exporting companies preferred traditional payment methods to new payment methods. And an initial request for a low advance payment ratio led to a lower advance payment ratio. Also, the experience of using new payment methods could diminish status quo bias. This paper applied behavioral economics theories and field experiment methodology to the payment term studies in international trades. These attempts could contribute to expanding the diversity of methodology and scope of international trade studies.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.125-144
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• 2008

Recently, the main concerns of enterprise management activities is how to strengthen the competitiveness to quickly respond to changes and sustain the growth in business environment. As IT(Information Technology) has become to be viewed as a key driver for the business competitiveness, new paradigms, such as business and IT alignment, IT-driven product/service innovation and so on, are regarded as the hot topic in many industries. However, previous studies related to IT evaluation, which is more critical than any other IT activities, have focused on quantitative IT deployment, utilization and its economical effects. Therefore, this study presents the newly-developed evaluation domains and items based on four pairs of relative concepts in industrial informatization, and their multi-dimensional analysis methodology which explains various types of IT characteristics of enterprises. And finally, pilot tests at 2 companies in financial service sector will be performed in order to verify the practicality of the evaluation system.