• Structural Engineering and Mechanics
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• v.69 no.3
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• pp.317-326
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• 2019

This research aims to assess the tight seismic risk curve of the intake tower at Geumgwang reservoir by considering the recorded historical earthquake data in the Korean Peninsula. The seismic fragility, a significant part of risk assessment, is updated by using Bayesian inference to consider the uncertainties and computational efficiency. The reservoir is one of the largest reservoirs in Korea for the supply of agricultural water. The intake tower controls the release of water from the reservoir. The seismic risk assessment of the intake tower plays an important role in the risk management of the reservoir. Site-specific seismic hazard is computed based on the four different seismic source maps of Korea. Probabilistic Seismic Hazard Analysis (PSHA) method is used to estimate the annual exceedance rate of hazard for corresponding Peak Ground Acceleration (PGA). Hazard deaggregation is shown at two customary hazard levels. Multiple dynamic analyses and a nonlinear static pushover analysis are performed for deriving fragility parameters. Thereafter, Bayesian inference with Markov Chain Monte Carlo (MCMC) is used to update the fragility parameters by integrating the results of the analyses. This study proves to reduce the uncertainties associated with fragility and risk curve, and to increase significant statistical and computational efficiency. The range of seismic risk curve of the intake tower is extracted for the reservoir site by considering four different source models and updated fragility function, which can be effectively used for the risk management and mitigation of reservoir.

• Journal of the Korea Safety Management & Science
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• v.15 no.1
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• pp.183-191
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• 2013

After the Uruguay Round, Korean agriculture industry has been protected and reared with government grants. However, until now there has been very minimal development to establish a solid export industry which can make the most of the trade agreements in place. There has been much research on ways to expand agricultural exports in order to respond properly to this ever changing environment and sustainable agricultural industry. As all other export industries, an efficient logistics network is paramount in order to allow the agricultural industry to respond to changes in demand and penetrate global markets. The lack of systematic logistics activities such as packaging, transportation, unloading, storage, and information transfer in farms has been a major factor in the inefficiency of the agricultural industry resulting in minimal development. From this perspective, 3PL was proposed and applied as a way to build on the streamlining of export of agricultural logistics system. The Agri 3PL is considered as an efficient agricultural exports method as a new concept connecting producers with exporters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.86-96
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• 2015

This study conducted empirical analysis of the association between the factors of GSCM corporation practice and social responsibility affecting environmental performance and organizational performance. Smart PLS 2.0 and SPSS 18.0 were used to examine a sample of 93 replies collected from corporations that had adopted GSCM. The results of hypothesis testing were as follows. First, social responsibility has a positive effect on the environmental performance of corporation complying with legal responsibility in environment related sectors. Second, internal environmental management and market environment have positive effects on the environmental performance. Third, corporations with a high level of environmental performance have high degrees of organizational performance. The results of this study are expected to have practical implications to corporations that will adopt GSCM in the near future.

• Korean small business review
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• v.42 no.1
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• pp.79-105
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• 2020

While individual enterprises with different objectives each other within supply chains require a variety of resources to achieve their own seeking goals and performances, it is necessary to form interdependent relationships among the enterprises to secure the resources what they need, as the individual enterprises are supposed to have limitations on such as time, space and cost to secure all the resources. In this process, conflict possibilities rise and opportunistic behaviors increase due to those environmental factors such as unbalanced information among enterprises, limited rationality, pursuit of interests, and risk aversion. Those existing studies on conflicts in the field of supply chains have limitations in that they failed to present specific conflict management strategies based on the conflict types from the perspective of the conflict resolution mechanism as the studies have made only focused on investigating the causes of conflicts and the impact of conflicts on performance. In this study, therefore, it used the TKI model of Kilmann and Thomas(1977) to subdivide the conflict management strategies in the process of transactions within supply chains by enterprises, and looked into the impact on partnership and performance according to each strategy. As the results, it showed that those types of conflict management strategies such as concession type and cooperation type had a positive(+) impact on the relationship commitment as a factor of partnership, and it was identified that the relationship commitment had a positive(+) impact on performance. In other words, it can be considered that the enterprises making use of the concession type & the cooperation type conflict management strategies under the situation of conflict would be able to have a very positive impact on their performances if they can make good relationship commitment such as investments in and efforts for the sustainable relationship along with the conflict management, while recognizing the importance of relationship. The most important meaning of this study lies on in terms of that it would be contributable to strengthening the partnership between enterprises and minimizing the risk of supply chains caused by conflicts through these results from the study.

• The Journal of Information Systems
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• v.24 no.1
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• pp.169-191
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• 2015

Green supply chain management(GSCM) has emerged as an organizational system which helps organizations and their parter to achieve corporate profit by reducing environmental risk and cost. The main objective of this study is to investigate the relationship among organizational factors(manager support and organizational learning), GSCM practices(investment recovery and eco-design) and GSCM performance based on the BSC. Using a sample of 125 Korean companies, path analysis is used to test the research model. The results shows that the manager support has a positive effect on the investment recovery and eco-design. The results also suggest that the organizational learning directly affect the investment recovery, but do not affect the eco-design. The investment recovery and eco-design have effect on the GSCM performance. In addition, the competitive pressure has moderating effects on most of the relationships between the organizational factors and GSCM practices. This findings provides useful insights for managers seeking to adopt GSCM practices, and also provide useful guidelines for researchers to study GSCM performance.

• Asian Journal of Business Environment
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• v.6 no.4
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• pp.13-17
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• 2016

Purpose - The purpose of this paper is to evaluate two multinational companies that seem to have reconciled the two mandates of CSR and profit maximization while becoming multibillion dollar companies and examine their organizational culture and practices and their management and leadership in order to determine the controlling factors, if any, that have elicited their success while renowned for their CSR policies. Research design, data, and methodology - This is a case study, an analytical approach, which focuses on exploring and analyzing the CSR policies of Starbucks and IKEA. Results - IKEA and Starbucks considered their position in the global business environment and their social responsibilities as crucial and did more than a cursory lip service to the issues. In fact, they both took the more difficult long-term approach and tried to resolve the root causes for the environmental and social issues in their supply chain. Ultimately though, it is the ethical leadership of the top management that sets the tone for the organizational culture and its CSR. Conclusion - IKEA and Starbucks are "living proof" that a company can be successful while treating its employees and the community of suppliers and associates with respect and dignity and while making this world a better place.

• 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.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.67-77
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• 2019

Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

• Journal of Distribution Research
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• v.15 no.5
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• pp.61-79
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• 2010

As the interest and the importance of environmental protection increases rapidly, the environment considers to be not only the item that requires a control and a duty fundamental element but the fundamental element to enhance the internection icompetitiveness n so. Along with the collapse of the foreign trade barrier and the quality improvement of a customer's life qu life of a an object is shortened liforder to sectsfy the customer's lemands and as the result of it quaother critical issues rmparding the waste treatment and recasles are now thought to be momentou onlyaddition to the issue of the greenhou e gases reduction that is considered as one of me q issues among many internection ienvironmental issues. To keep up the pace with the environmental flow qube notd countries have nlreal iput their attempts to solve this environmental problems through a number of rmpulactios and acctios and they have showed a great concern for it as it is an internection iproblem that they should aasroaeronlythe aspect of not just a compan isr a country but of the wte e globn ivillage. Sueroenvironmental flow alemaned the logistic stratmpy of a compan iand it brought up the demand for the reverse logistics in a supply chain. For the reason above, the concept of reverse logistics and classification, the comparison with any similar concepts and its necessity are studied in this research through the theoretical consideration and the current state of the reverse logistics is organized in this research by acknowledging the domestic development process and the properties regarding the recycles of resources. In addition, the way to apply to the nation was investigated by comparing with the environmentalism development process, the reverse logistics policies and examples of advanced countries in logistics. The research proposed building of intimate cooperative system between a shipper and logistic service provider for the reverse logistics throughout the whole supply chain, the financial support, amendment of regulations, support Eco-friendly logistic technology development and the propagation, effective logistic system development and others and it is expected to bring a significant meaning to the reverse logistic policy and operation later on.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.