• Environmental Engineering Research
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• v.24 no.4
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• pp.618-629
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• 2019

Along with growing population and economic development, increasing waste generation rates in developing countries have become a major issue related to the negative impacts of waste management on the environment. Currently, the business-as-usual waste management practices in Myanmar are largely affecting the environment and public health. Therefore, this study developed an alternative approach to waste management for reducing the environmental impacts in Myanmar by highlighting the greenhouse gas (GHG) emissions from business-as-usual practices and three proposed scenarios during 2018-2025. The calculation methods of the Intergovernmental Panel on Climate Change and Institute for Global Environmental Strategies were used for estimating the GHG emissions from waste management. It was estimated that the current waste management sector generated approximately 2,000 gigagrams of CO₂-eq per year in 2018, trending around 3,350 Gg of CO₂-eq per year in 2025. It was also observed that out of the proposed scenarios, Scenario-2 significantly minimized the environmental impacts, with the lowest GHG emissions and highest waste resource recovery. Moreover, the GHG emissions from business-as-usual practices could be reduced by 50% by this scenario during 2018-2025. The target of the similar scenario could be achieved if the local government could efficiently implement waste management in the future.

• Journal of Environmental Impact Assessment
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• v.19 no.5
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• pp.465-473
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• 2010

This study was carried out to investigate the effect of EFDC hydrodynamic result on the WASP7.3 water quality modeling result in accordance with the change of number of grid for the dam reservoir to be constructed. The simulated flow and BOD, T-N and T-P loads by the HSPF watershed model was used for boundary conditions and the hydrodynamic modeling results was linked with WASP model to predict future water quality after dam construction. The scenarios for EFDC modeling were composed of Scenario 1(141 grid cells) and Scenario 2(568 grid cells). The results of Scenario 2 showed that BOD, T-N, T-P and Chl-a concentrations were decreased 0.073mg/L(8.5%), 0.032mg/L(2.6%), 0.003mg/L(6.8%), 0.644mg/L(4.2%) compared with those of Scenario 1, respectively. As number of grid cell increased, water quality concentrations were decreased and also it caused the longer running time. Therefore, this study suggests that the consideration of the geometry of water body is more important than the number of grid cells for the prediction of water quality of a dam reservoir in EIA.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10c
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• pp.307-309
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• 2000

현재와 미래의 e비즈니스 환경은 인터넷을 중심으로 끊임없이 변화 발전하고 있으나 e비즈니스의 복잡함과 역동적인 특성에 비해 이를 지원해줄 수 있는 인터넷 기술은 아직 매우 부족한 형편이다. 기존의 많은 개발 도구들은 비용이 많이 들거나 복잡하여 솔루션 개발에 매우 많은 시간과 비용이 소요되는 단점을 가지고 있다. 따라서, 본 논문에서는 소프트웨어 엔지니어가 아니라 브즈니스 실무 담당자가 급변하는 비즈니스 환경에 맞는 최적의 솔루션을 용이하게 구축할 수 있는 Business Scenario Assembly(BSA)라고 하는 개념 및 이의 구현에 대해 소개한다. BSA는 비즈니스 프로세스 주체들이 다양한 비즈니스 시나리오들을 실시간 커뮤니케이션을 통해 쉽게 공유, 재편, 변경하도록 하는 새로운 개념의 e비즈니스 솔루션 개발 도구이다. BSA를 이용하면 역동적으로 변화하는 e비즈니스 환경에 최적의 솔루션을 매우 용이하게 구축할 수 있다.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.39-53
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• 2011

Recently, a new media reform bill has passed through the National Assembly in Korea. The introduction of comprehensive programming channels that combine news and entertainment programs is expected to have a direct and indirect effect on the media related industry. And it affects not only existing traditional media operators, but also companies that consider entering the comprehensive programming business. This study analyzes the changes caused by the emergence of new businesses and identifies competitive strategies. Using Scenario Network Mapping (SNM) that is a scenario planning methodology for developing an industry network map in a complex environment. As a result of this study, the following competitive factors were identified: new business competitiveness, government policy and support, and content differentiation. This study has significance as an initial study on comprehensive programming channels strategies. It also provides implications to the government and the entrepreneur who is considering starting a comprehensive programming business.

• Information Systems Review
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• v.18 no.4
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• pp.173-187
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• 2016

This study on the social effects of Internet of Things (IoTs) provides an overview of future job prospects through the scenario planning approach, highlighting the challenges and opportunities that IoTs will bring in the future. IoTs and the related field of technological innovations have become increasingly important in both academic and business communities in the past few years because of computing power breakthrough and its price drop. IoTs enables people to deal with routine works efficiently and challenges them even in non-routine and/or cognitive tasks, which are considered a unique area for individuals. The scenario planning analysis helps us to define the uncertain boundary and to estimate the potential opportunities and inherent threats to provide decision makers with a mind map on how the development of IoTs can influence employment. To assess the potential effects on jobs described in our scenarios, we briefly examine the local structure of employment and discuss which careers are expected to decline or grow in particular among the 52 standard occupational classifications in Korea.

• Journal of Information Technology Applications and Management
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• v.27 no.4
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• pp.21-36
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• 2020

E-commerce represents the acquisition and sale, or the transmission of funds or data through an electronic platform. E-commerce is a paradigm shift that influences marketers and customers to improve current market processes. The significant challenges in e-commerce are the accuracy and performance factors during a business transaction, which has been substantially enhanced using Cloud Computing Techniques (CCT). The growth of e-commerce management has been increased due to massive internet penetration, and particularly small and emerging companies are increasingly using this alternative as a differentiated business model. E-commerce has significant environmental impacts and highly utilized in today's market scenario. Further, the replacement has not been thoroughly explored. Current research has been carried out to describe the e-commerce scenario to analyze market trends. This study further discusses the essential variables to the performance of market models for e-commerce. For example, e-procurement of products/services, electronic supply chain management, e-distribution and selling support (supplier connections, e-fulfilment) and online e-auctions (transactional) can represent important e-commerce capabilities, which can contribute to marketing strategy implementation effectiveness, resulting in higher export performance.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.351-359
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• 2010

Recently, interesting of U-city with ubiquitous computing technologies has increased and u-city services can improve people's quality of life. Among the u-city services, traffice service is actively developed in our lives. In this paper, we propose the business model and business model process in u-intelligence traffic service. To propose the research purpose, we examined the prior business model and investigated u-intelligence traffic information and control services. And also, we draw scenario and used it to identify business model. To efficiently understand proposed business model, we built business model process of u-intelligence traffic information and control services. The results of study, we draw 4 representative U-intelligence traffic information and control service. Based on representative services, we proposed business model and business model process with stakeholder, benefiter and value model. This study concludes with implications of the study results as well as limitations and future research directions.

• Environmental and Resource Economics Review
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• v.27 no.1
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• pp.67-104
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• 2018

In this paper, we compare the spread effects of the carbon tax imposition method using the real business cycle model considering the productivity and energy price shocks. Scenario 1 sets the carbon tax rate that encourages the representative firm to maintain a constant $CO_2$ reduction ratio in accordance with its green house gas reduction targets for each period. Scenario 2 sets the method of imposing the steady state value of the carbon tax rate of Scenario 1 during the analysis period. The impulse response analysis shows that the responses of $CO_2$ emissions to external shocks are relatively sensitive in scenario 2. And simulation results show that the cost of $CO_2$ abatement is more volatile in scenario 1, and $CO_2$ emissions and $CO_2$ stock are more volatile in scenario 2. In particular, the percentage changes in volatility between the two scenarios of $CO_2$ emissions and $CO_2$ stock increase as the green house gas reduction target is harder. When the green house gas reduction target is 60% and over, the percentage changes(absolute value) between the two scenarios exceed the percentage change(absolute value) of the $CO_2$ reduction cost between them.

• Journal of Information Technology Services
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• v.9 no.4
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• pp.243-259
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• 2010

It is expected that the next generation mobile communication system will be a service-driven developed system capable to realize the human-centric mobile convergence services. and it is different from the technology-driven development approach of the second and the third generation mobile communication systems. As a preliminary research work on such service-driven system development approach for the next generation mobile communication system. we developed the scenario based service analysis process (2SAP) framework to derive core service technologies and functionalities. In this paper. we propose the next generation mobile convergence service business model creation methodology based on research results of the 2SAP framework. To achieve this goal, we first establish a service model contains several components such as infrastructures. operations. and provision of services that are indispensible for providing next generation mobile services. Then, the next generation mobile services and its corresponding business models can be created by adding service and value flows to the developed service model after defining necessary components of business model including actors, their relationships, and roles.