• Clean Technology
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• v.22 no.1
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• pp.35-44
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• 2016

In this study, a computational chemistry methodology called as molecular modeling was been applied to explain several experiment results mechanistically. The reaction chosen for this study was to remove carbon dioxide, known as a primary greenhouse gas, by an epoxide via the carbon dioxide fixation to produce carbonates. This reaction inherently needs the use of catalysts because it has a significantly high activation barrier (55~59 kcal/mol). Among various types of catalysts, we studied in zeolitic imidazolate framework 90 (ZIF-90)/ionic liquid immobilized ZIF-90 (IL-ZIF-90), polystyrene-supported quaternized ammonium salt, KI/KI-glycine, and dimethylethanolamine (DMEA). First, probable reaction pathways were proposed based on calculated energetics by computational chemistry. The energetics was then used for the thermodynamic interpretation on the activity of catalysts. In the case of ZIF-90/IL-ZIF-90 and KI/KI-glycine, IL-ZIF-90 and KI-glycine showed better yields compared to their counterparts. The calculation proposed interesting results that it is not from the lowering of activation energy but from the unstable intermediates of ZIF-90 and KI-glycine. For DMEA, the calculated activation energy was ~42 kcal/mol, much lower than that of the non-catalytic reaction. A possible reaction pathway was located to confirm the interaction between −NH group from ammonium and oxygen from epoxide for polystyrene-supported quaternized ammonium salt.

• Journal of Korea Port Economic Association
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• v.24 no.3
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• pp.101-123
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• 2008

This paper is intended to suggest a development device for Gwangyang Free Economic Zone(GFEZ) to strengthen the competitiveness of its maritime port of Gwangyang and promote the regional development in Gwangyang Bay Area. This study will evaluate the background, processes, and targets for foreign investment, I examined historical treatises as they relate to inducing investments to Free Economic Zones. I will explore good operation and inducing investment methods GFEZ within the 4P(product, price, promotion, place) framework. I tried to suggest a new management methodology for the Free Economic Zones as suggested by the central government from the regional view point. The purpose of this paper is to investigate the marketing strategies; compare them to the 4P for deploying an actual more efficient governing structure body for the GFEZ. As proposals to promote and activate GFEZ, I recommended in this paper several benchmarks. First, GFEZ must construct good clusters related to regional strengths as they relate to products. Second; to give more flexible incentives to foreign companies as compared with China, England, Ireland, India, Malasia, Thailand and Vietnam using prices as a guideline. Third, it is required to cultivate expert manpower who can communicate with foreign clients relate to promotion. A proactive public information system is also required in addition to marketing strategies for inducing investment. Lastly, GFEZ needs to became independent and separate from the central government and even from regional province.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.85-94
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• 2013

With the emergence of world wide web, in particular web 2.0 the rapidly growing amount of news articles has created a problem for users in selection of news articles according to their requirements. To overcome this problem different clustering mechanism has been proposed to broadly categorize news articles. However these techniques are totally machine oriented techniques and lack users' participation in the process of decision making for membership of clustering. In order to overcome the issue of zero-participation in the process of clustering news articles in this paper we have proposed a framework for clustering news articles by combining users' judgments that they post on twitter with the news articles to cluster the objects. We have employed twitter hash-tags for this purpose. Furthermore we have computed the credibility of users' based on frequency of retweets for their tweets in order to enhance the accuracy of the clustering membership function. In order to test performance of proposed methodology, we performed experiments on tweets messages tweeted during general election 2013 in Pakistan. Our results proved over claim that using users' output better outcome can be achieved then ordinary clustering algorithms.

• The Journal of Industrial Distribution & Business
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• v.8 no.4
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• pp.53-63
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• 2017

Purpose - This study aims to examine the correlations between relationship benefits, quality, and continuity intention of community services. It further investigates the mediation effect of relationship quality operating on the association between relationship benefits and relationship continuity intention. Thus, this study will aim to elucidate the correlations between relationship benefits, quality and community services intention. Research design, data, and methodology - To achieve these objectives, this study executed a questionnaire from the users of the child․adolescent psychological support service which represents part of community services. The research framework that was utilized in this study was of three main factors. They were relationship quality, relationship benefits, and intention of relationship continuity. In relationship quality, factors such as trust and commitment was included in this section. For relationship benefits, factors such as society benefits and commitment benefits were the essence. The control variable in this study was gender, age, income, hours of service used, and the number of times service was used in community services. Results - The key research findings are as follows. First, this study found out that the more the social benefits was enhanced in the community services, the higher the relationship continuity intention was. Second, this study has found out that the higher the trust of community services, the higher the relationship continuity intention. Third, this study has shown that the more the relationship benefits was enhanced in the community services, the higher the recognition by the users' relationship quality was. Fourth, the trust in the community services played a mediating role between the relationship benefits and relationship continuity intention. Conclusions - Many associations could be discovered on the correlations between relationship benefits, quality, and community service continuality intention. These results will have important implications for the future of child and adolescent psychological support services. In terms of relationship marketing, the three factors; benefits, quality, and continuity intention in community services were proved to be pivotal. In order for the continuity intention in community services, the two factors of benefits and quality were the influential factors. From a policy maker's standpoint, the relationship continuity was the most important factor.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.52-60
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• 2016

Many hidden aspects of society around the world that has been lurking as risk factors have been ultimately connected to disasters. Such connection did not just stop with massive damages to properties and loss of lives but became a serious social issue. Especially in the case for Korea, because the country has gone through abrupt economic growth which has resulted in rapid urbanization and expansion of economic scale, Korea has been caught in a vicious cycle of experiencing human and social calamities repeatedly. Due to the seriousness of such problem, there's been continued research in various fields for managing disasters, and the domain of knowledge has been expanding with complexity. The following study went beyond the perspectives of disaster prevention study, disaster prevention engineering and social sciences suggested from previous research directions in disaster and disaster prevention, and attempted an alternative research method by approaching from a service design perspective. During the process, the paper looked over the summary on disaster and service design. By applying it on disaster prevention projects, the research sets forth and discusses effective and practical disaster prevention service design. Through specific case studies, the research methodology applied was verified, and the purpose of the study was carried out in the perspective of real world applications different from textbook type discussions. It is expected that through the disaster prevention service design process and platform that were discovered during the research result, defining and understanding disaster prevention service design will be made apparent. Additionally, the research is expected to be used as a basic building block for building a visualized plan for tangible and intangible factors related to disasters before the disaster process through such proposed disaster prevention service design.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.565-572
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• 2006

Product Line Engineering (PLE) is an effective reuse methodology where common features among members are captured into core assets and applications are developed by reusing the core assets, reducing development cost while increasing productivity. To maximize benefits in developing systems, business case analysis for PLE is essential. If the scope for core assets is excessively broad, it will result in high cost of asset development while lowering reusability. On the other hand, if the scope is too narrow, it will result in a limited applicability which only support a small number of members in the domain. In this paper, we propose a process for business case analysis for PLE and for deciding economical analysis of core asset scope. Then, we define guidelines for each activity of the process. Since variability often occurs in PLE, we significantly treat the variability of features among members in detailed level. By applying our framework for business case analysis, one can develop core assets of which scope provide the most economical value with applying PLE.

• Journal of Korean Society for Geospatial Information Science
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• v.6 no.1 s.11
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• pp.11-17
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• 1998

Recently, 3D GIS based on 3D geo-processing methodology and Internet environment are emerging issues in GIS fields. To design and implement 3D GIS, the strategic linkage of Java and VRML is first regarded: 3D feature format definition in the passion of conventional GIS including aspatial attributes, 3B feature indexing, 3D analytical operators such as selection, buffering, and Near, Metric operation such as distance measurement and statistical description, and 3D visualization. In 3D feature format definition, the following aspects are implemented: spatial information for 3D primitives extended from 2D primitives, multimedia data, object texture or color of VRML specification. DXF-format GIS layers with additional attributes are converted to 3D feature format and imported into this system. While, 3D analytical operators are realized in the form of 3D buffering with respect to user-defined point, line, polygon, and 3D objects, and 3D Near functions; furthermore, 'Lantern operator' is newly introduced in this 3D GIS. Because this system is implemented by Java applet, any client with Java-enable browser including VRML browser plug-in can utilize the new style of 3D GIS function in the virtual space. Conclusively, we present prototype of WWW-based 3D GIS, and this approach will be contribute to development of core modules on the stage of concept establishment and of real application model in future.

• Journal of Distribution Science
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• v.14 no.6
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• pp.65-73
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• 2016

Purpose - Recently, the management conditions of small independent retailers are getting worse everyday as large-scale marts and franchised convenience stores are increasing. The objective of this research is to find out the antecedents and consequences of cooperation in voluntary chain in order to enhance small independent retailer's competitiveness. Voluntary chains, also called affiliation or symbol groups, or allied group represent a high market shared in some European countries like Italy, France, and Germany. Nevertheless, there are still limitations in this research from academic fields. Drawing from network theory, the author investigates the relationship between antecedent factors in voluntary chain cooperation, such as participation benefits, justice of compensation, and autonomy in voluntary chain, and relationship specific asset. The author also attempts to examine the relationship between the relationship specific asset and cooperation of voluntary chain member shop and cooperation and consequence factors of voluntary chain cooperation, such as efficiency, group cohesiveness, and long-term relationship. Research design, data, and methodology - The author presented conceptual framework integrating the major antecedents and consequences of voluntary chain cooperation. The data were collected from 174 independent small retailers who joined K-voluntary chain. K-voluntary chain consists of small independent retailers. In accordance with their status, each entrepreneur associated with the voluntary group can own one or more outlets and can be a part of the life and the decision-making process of the group. This participation is not based on company turnover or on the number of outlets, but based on a one member, one vote system. To verify the research model and test hypotheses, the author carefully investigated the reliability, content validity, convergent validity, and discriminant validity of the proposed model. The data were analyzed by using SPSS 18.0 and AMOS structural equation modeling program. Results - The results of this study are as follows. First, as antecedent variables, participation benefits and justice of compensation have positive effect on the relationship specific assets of voluntary chain members. Second, voluntary chain members' relationship specific asset also directly related to the level of its cooperation to chain headquarter. Third, cooperation of voluntary chain member shop facilitates efficiency, group cohesiveness, and long-term relationship. Unexpectedly, there are no effect autonomy in voluntary chain to relationship specific asset. Conclusions - This research shows several theoretical and practical implications to both marketing scholars and marketers. In terms of theoretical implications, this study applies to network theory and network theory variables to explain the antecedent and consequence factors of cooperation in voluntary chain. From the point of view from business management, most of all, this study shows the way how to reinforce competitiveness of voluntary chain. Specifically, it is necessary for voluntary chain headquarter to give higher level of participation benefit and justice of compensation to its members. Second, the results also indicate what the consequence factors of cooperation in voluntary chain. In other words, to increase the level of marketing efficiency, group cohesiveness, long-term orientation in retail voluntary chain, and chain headquarter need to facilitate participants' cooperation.

• Journal of Distribution Science
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• v.13 no.5
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• pp.91-102
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• 2015

Purpose - This study aims to build a systematic frame for effective marketing performances by prioritizing product type and pertinent channel that are appropriate for digital channel characteristics. FCB grid model was used to define a product type, and Internet communication satisfaction index was considered as a marketing performance measuring tool for digital channel. Research design, data, and methodology - As systematic understanding for Digital marketing is still unfamiliar to even professional marketer, the hypothesis was established based on preliminary research by conducting a qualitative survey of marketing experts who already experienced digital marketing in the fields as well as existing related study literature. Through a preliminary research, the degree for understanding for digital marketing, current digital marketing (including product/channel mix) execution status, and difficulties for marketers who had experienced digital marketing were figured out. Based on preliminary research, the main part of survey was designed to examine which type of product would be effective for digital marketing and which digital channel would be effective to achieve marketing performance in line with marketing objectives. To collect data, the questionnaire survey was conducted for professional marketers who had experienced digital marketing in 10 different fields including FMCG, cosmetics, distribution industry for one month (July, 10, 2014~Aug, 10, 2014). A total of 90 questionnaire were distributed and 66 questionnaires were used for the analysis, excluding the unanswered and insincere questionnaires. The data were analysed using SPSS ver.18.0. Results - The analysis for product type which is pertinent to digital marketing and prioritization for digital channel per digital marketing performance type could be summarized as followings. First, high involvement buying decision type of product and rational purchasing decision type of product in FCB grid are more effective for digital marketing in terms of marketing performance. Therefore, marketers in field would prioritize considering product type before executing digital marketing. Second, factor for sales increase, potential consumer creation and brand awareness was represented respectively 31.25%, 21.9%, and 20.8% as a result of factor analysis in terms of digital marketing channel performance. Third, effective major digital channel per digital marketing performance factor was differently identified as each digital channel has its own peculiarity. For instance, search engine is more effective for increasing sales while social media such as facebook and Kakaotalk is more effective for encouraging consumer participation. Conclusions - As a result of this study, product type and peculiarity which were pertinently fit to digital marketing were identified by using FCB grid model, and also suggested framework for decision making of digital channel selection in line with marketing objectives for effective marketing performance. It also provided insight to professional marketer which type of product could be effective for digital marketing execution as well as which factors should be measured for digital marketing performance.

• Journal of Distribution Science
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• v.11 no.10
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• pp.55-62
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• 2013

Purpose - The purpose of this study is to suggest a risk factor that significantly explains foreign currency risk premia. In recent years, some studies have found that the performance of the simultaneous consumption risk model improves considerably when tested on foreign currency portfolios, which are constructed based on the international interest rates differentials. However, this paper focuses on the long-run consumption risk factor. In our empirical research, we found that the real excess returns of high interest rate currency portfolios depreciate on average, when the future American long-run consumption growth rate appears low. This makes the high interest rate currency portfolios have relatively high risk premia. Meanwhile, the real excess returns of low interest rate currency portfolios appreciate on average, under the same conditions, which results in relatively low risk premia for these portfolios. Therefore, this long-run consumption risk factor might explain why low interest rate currencies do not appreciate as much as the interest rate differential, and why high interest rate currencies do not depreciate as much as the interest rate differential. Research design, data, methodology - In our explanation, we provide new evidence on the success of long-run consumption risks in currency risk premia by focusing on the long-run consumption risks borne by American representative investors. To uncover the hidden link between exchange rates and long-run consumption growth, we set the eight currency portfolios as our basic assets, which have been built based on the foreign interest rates of eighty countries. As these eight currency portfolios are rebalanced every year, the first group always contains the lowest interest rate currencies, and the last group contains the highest interest rate currencies. Against these basic eight currency portfolios, we estimate the long-run consumption risk model. We use recursive utility framework and the stochastic discount factor that depends on the present value of expected future consumption growth rates. We find that our model is optimized in the two-year period of constructing the durable consumption expectation factor. Our main results surprisingly surpass the performance of the existing benchmark simultaneous consumption model in terms of R², relatively risk aversion coefficient γ, and p-value of J-test. Results - The performance of our model is superior. R², relatively risk aversion coefficient γ, and p-value of J-test of our long-run durable consumption model are 90%, 93%, and 65.5%, respectively, while those of EZ-DCAPM are 87%, 113%, and 62.8%, respectively. Thus, we can speculate that the risk premia in foreign currency markets have been determined by the long-run consumption risk. Conclusions - The aggregate long-run consumption growth risk explains a large part of the average change in the real excess returns of foreign currency portfolios. The real excess returns of high interest rate currency portfolios depreciate on average when American long-run consumption growth rate is low, and the real excess returns of low interest rate currency portfolios appreciate under the same conditions. Thus, the low interest rate currency portfolios allow investors to hedge against aggregate long-run consumption growth risk.