• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.25
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• pp.211-241
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• 2005

Innovation resistance toward technology products such as e-Marketplace is an important concept in business to business marketing. But most of researches and literatures have not been focused on innovation resistance. Therefore, the objective of this paper is to confirm key factors that effects on the innovation resistance. Additionally this study will be revealed the factors affecting the innovation resistance to information technology of trade according to adopting stage. Based on the past literatures, the innovation resistance of users can be viewed as dependent on two sets of factors came from the study of Innovation Resistance Model(Ram, 1987):perceived innovation(e-Marketplace) characteristics and user(trading company) characteristics. Perceived innovation characteristics consists of relative advantage, compatibility, perceived risk, complexity, inhibitory effect on the adoption of profitable innovation. The user characteristics consist of innovativeness, beliefs and attitude toward existing trade method. And user adoption stage came from the study of Innovation Diffusion(Roger, 1995). To make it simple, this study divides group1(knowledge/persuasion/decision) and group2(implementation/confirmation). In the result of the empirical study, the hypothesis 1, hypothesis 2, hypothesis 4 were supported partially and hypothesis 3 was completely supported.

• IE interfaces
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• v.17 no.1
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• pp.93-103
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• 2004

Service importance has been growing increasingly as competition element of enterprises according to going on rapid softness, information and knowledge of industrial infrastructure recently. Quality management system that implemented in manufacturing sector have been spreading rapidly to service company, but the company performing pure engineering service only in construction fields performed mainly the evaluation on the operational aspect such as degree of implementation of the established system because it is difficult to objective evaluation on the activity of the established quality management system or quality assurance system. This study would like to make on offer the improvement points based on the evaluation of service quality and the itself evaluation result through the questionnaire on the service offerers and customers using the pre-qualified SERVQUAL model in establishment of the improvement goal of the company. According to the result of this study, it is analyzed a gap and required to establish a counter-plan to correct many gaps discovered between the real offered level and the expect level of custom.

• Journal of Fashion Business
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• v.21 no.3
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• pp.29-42
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• 2017

This study investigates the impact of female consumer self-image on pursued fashion style. A survey was carried out among 717 women between the ages of 20 and 60 living in Seoul, Incheon, and Gyeonggi. Analysis was conducted in the following manner: SPSS 18.0 was used to perform an Exploratory Factor Analysis (descriptive analysis, principal factor analysis, Pearson correlation analysis, frequency analysis, and reliability analysis) and AMOS 21.0 was used to carry out a Confirmatory Factor Analysis. Based on a Structure Equation Model, results show that ideal self-image and realistic self-image, which are factors derived from psychology, affect pursued fashion style. By contrast, social self-image - derived from social contexts - does not. Therefore, the female consumers' self-image influences pursued fashion style; this is opposed to the relationship between the realistic self-image and ideal self-image of women, which is more unconscious and self-satisfying. The presented results indicate that we should respond to changes in the fashion industry and develop a deeper understanding of consumer niches to discover the factors that predict purchasing behavior. This knowledge can then be applied to establish market strategies. This study contributes to the literature by producing preliminary data that can help support such strategy formulation in the fashion and clothing industry.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.4
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• pp.213-224
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• 1998

Since the late 1980s, an Increasing number of neural network models have been studied in the areas of financial prediction and analysis. The purpose of this study is to Investigate the possibility of building a neural network model that is able to construct a profitable trading strategy in the Korean Stock Market. This study classifies stocks into the future market winners and losers from the publicly available accounting information and builds portfolios based on this information. The performances of the winner portfolios and the loser portfolios are compared with each other and against the market index. The empirical result of this research is consistent with the traditional fundamental analysis where it is claimed that the financial statements contain firm values that may not be fully reflected In stock prices without delay. Despite the supporting empirical evidence. It is somewhat Inconclusive as to whether or not the abnormal return in excess of market return is the result of the extra knowledge obtained in the neural network models derived from the historical accounting data. This research attempts to open another avenue using neural network models for searching for evidence against market efficiency where statistics and intuition have played a major role.

• Asian Journal for Public Opinion Research
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• v.1 no.3
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• pp.217-231
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• 2014

This study begins with a review of commonly discussed dimensions of public risk perception that may influence public opinion toward risks. Factors that have been revealed by the literature to have substantial impact on risk perception, such as demographic background, trust, and media environment, are also discussed. Meanwhile, we evaluate two well-known research models in the realm of risk analysis: 1) the psychometric paradigm, and 2) the social amplification of risk framework (SARF). Based on a literature review, this study suggests that, besides the psychological and social approach, models of risk perception and risk communication research should shift to a more comprehensive one by considering the interrelations between laypeople and the environment. This study proposes a research model from the perspective of social cognitive theory (SCT) as a potential framework for future studies: 1) in the societal environment, individuals' risk perception and information seeking behavior, which is determined by risk perception will be influenced by trust in regulators and interpersonal trust; 2) in the media environment, individuals' risk perception and information seeking behavior will be influenced by individuals' perceived information characteristics. Knowledge about risk accumulated through information seeking will change risk perception in a longitudinal process.

• Journal of Korean Library and Information Science Society
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• v.30 no.1
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• pp.119-150
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• 1999

With the advancement of internet technology, traditional university libraries are going through metamorphosis into digital libraries. Digital libraries substitute digital files for printed materials, metadata for catalogues, world wide users on the network for localized patrons, while offering limitless possibilities for easy downloading of information. The aim of the study is to present a model for our digital library based on the knowledge auquired from the analysis of the state of the art technology employed in building and managing digital libraries and the management of large quantity of SGML electronic documents. This paper is our belief that the national information infrastructure for university digital libraries are mandatory for an open information society.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.2
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• pp.45-53
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• 2017

The main purpose of this study is to investigate the factors that have an impact on public policy, green products and technology in Kuala Lumpur, given government initiatives to boost the environment awareness. The data used in this study was collected by distribution questionnaires randomly in six areas of Kuala Lumpur and 400 respondents were interviewed. Based on a literature review, three hypotheses were stated and tested using structural equation modeling (SEM). SEM is a statistical analysis method that involved two or more variables in analyzing structural relationships among the variables. The SEM model shows that green products and government policies have a direct influence on environmental awareness. However, green technology does not have a direct influence on environmental awareness. Since, knowledge on green technology does not have a significant impact on raising environmental awareness among the public, a much more pragmatic awareness campaign needs to be put in place to use green technology as a part of modern living. The study suggests that the urban population needs to be more aware of the environmental issue as cities tend to have better infrastructure to raise public awareness on green issues. Moreover, the government should increase the environmental awareness among younger generation through workshops, seminars, campaigns, and pamphlets.

• Journal of the Korean Society of Safety
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• v.25 no.4
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• pp.76-83
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• 2010

As one of crucial industries, the service industry occupies a large part of economy in Korea poor in natural resources. However, prevention of industrial disasters has been promoted mainly in manufacturing and construction industries where the frequencies of such disasters and victims are high. Research on the evaluation of workplace safety climate has been conducted centering on traditional industries like manufacturing and construction, and few studies have been made for service businesses. The objective of this study was to evaluate workplace safety climate perceived in the field by workers engaged in service businesses and to contribute to the establishment of industrial safety and health policies in consideration of the characteristics of each business category. Using research variables safety knowledge, safety attitude, safety motivation, safety participation, safety compliance, and safeness of work environment, we evaluated comprehensive workplace safety climate based on the causal relations among the variables. In the results of analyzing data from a questionnaire survey of service business employees, statistically significant effect relations among the variables were identified, and the fitness of the model with approved reliability and validity was verified.

• 보존과학연구
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• s.6
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• pp.48-57
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• 1985

This report described the corrosion structure of excavated iron artifacts in terms of simple model based on the knowledge of the corrosion process. (Fig.1)(Table 1,2)In storing the objects, there are basically three ways in which they either break in wedges, flakes and dish-shaped flakes. Completely mineralized objects or those with only a small iron core tend to break into wedges and more solid objects either split small dish-shaped flakes or large flat ones.(Fig. 2,3,4)There are two ways, therefore, to prevent this from happening. One is to keep the artifacts rigorously dried in Silica-gel, never allowing the relative humidity to rise. This is feasible which the artifacts are in store but causes great difficulty if they are wanted for museum display. Because they still contain $ FeCl _2$ they are always at risk ; they contain the seeds of their own destruction. The other alternative is to use of washing process to dissolve out the $ FeCl _2$. In this connection, many different methods to stabilize the artifact have been employed; boiling iron in frequent changes of water, soaking in Na-sesquicarbonate solution, soaking in alkaline Na-sulphite solution. In this report, introduced the alkaline sulphite method by the N.A. North and C.Pearson.Finally, Let me extend my thanks to Ancient Monument Lab., Museum of London Conservation Lab., British Museum Conservation Div. and National Maritime Museum Conservation Lab. who have helped me and made many valuable suggestions.

• Nuclear Engineering and Technology
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• v.52 no.6
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• pp.1327-1333
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• 2020

The global warming phenomenon emerges from the issue of climate change, which attracts the attention of intellectuals towards clean energy sources from dirty energy sources. Among clean sources, nuclear energy is getting immense attention among policymakers. However, the role of nuclear energy in pollution emissions reduction has remained inconclusive and demand for further investigation. Therefore, the current study contributes to extend knowledge by investigating the nexus between nuclear energy, economic growth, and CO₂ emissions in a developing country context such as Pakistan for the period between 1973 and 2017. The auto-regressive distributive lag model summarizes the nuclear energy has negative effect on environmental pollution as it releases carbon emission in the environment. Moreover, vector error correction Granger causality provides evidence for bidirectional causality between nuclear energy and carbon emissions. These interesting findings provide new insight, and policy guidelines provided based on these results.