• Asia pacific journal of information systems
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• v.20 no.3
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• pp.139-166
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• 2010

The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

• Journal of the Optical Society of Korea
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• v.16 no.1
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• pp.22-28
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• 2012

We report a focal-length tunable liquid lens based on thermopneumatically driven fluidic pressure. The fluidic pressure is generated by deformation of an elastomeric diaphragm induced by thermopneumaticity from a laterally integrated microheater sealed within an air chamber. The pressure is transmitted by a confined liquid to a lens diaphragm through an internal fluid channel. The liquid filling under the lens diaphragm functions as a liquid lens for dynamic focusing with properties depending on the curvature of the deformed diaphragm. The diaphragm area of the air chamber is designed five times larger than that of the lens cavity to yield high focal-length tunability by amplified deflection of the lens diaphragm. With our method, we achieved excellent focal-length tunability from infinity (without an input current) to 4 mm (with an input current of 12 mA) with a lens aperture diameter of 2 mm.

• Journal of Fashion Business
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• v.19 no.1
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• pp.106-121
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• 2015

The purpose of this study is to classify the attitudes toward fast fashion into groups and analyze the differences of the self-consciousness, and make-up behavior by groups. Questionnaires are being administered from 179 high school girls living in Deagu metropolitan City. Frequency, factor analysis, reliability analysis, cluster analysis, ANOVA, Duncant-test, and ${\chi}^2$-test are all used for data analysis. Our findings are as follows. The attitude toward fast fashion shows a significant correlation with the sub-variable self-consciousness and make-up behavior. Attitude toward fast fashion is being categorized into convenience focus, fashion focus, design focus, and season focus. Self-consciousness is social self-consciousness, social anxiety, private self-consciousness, and private anxiety. Make-up behavior is positive effect, fashion leader, and conformity. Attitude toward fast fashion is classified into three groups: disposability, fashionability, and low interest of fashion. The groups show a significant difference in the self-consciousness, and make-up behavior. Groups display no distinctions between the sub-variables in the actual conditions of cosmetics such as a first time for make-up and frequence of visit.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.3
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• pp.45-60
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• 2015

The purpose of this study is to classify individualism-collectivism into groups and analyze the difference of attitude toward uniform and evaluation criteria toward uniform. Questionnaires are being administered to 369 middle and high school girls in Deagu province. The Frequency, factor analysis, reliability analysis, cluster analysis, correlation analysis, ANOVA, Duncan-test, and t-test are used for data analysis. Individualism-collectivism factors are found to be other focus, individuality focus, competition consciousness, love of family, and self-esteem. Attitude toward uniform are categorized into fashion pursuit, symbol of role, conformity, color, and neatness. Evaluation criteria toward uniform is categorized into 7 factors: practicality, care, promotion, aesthetics, service, brand focus, and regulation focus. Individualism-collectivism are classify into three groups such as high individualism-collectivism, low individuality, and high individuality. Individualism-collectivism shows a significant correlation with the sub-variable attitude toward uniform and evaluation criteria toward uniform. The groups show a significant difference in the attitude toward uniform and evaluation criteria toward uniform. There is a significant difference among individualism-collectivism, attitude toward uniform, and evaluation criteria toward uniform by the middle and high school girls.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.5
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• pp.62-67
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• 2010

Exhausting fossil fuel and increasing concern of air pollution have brought on the change of the focus of developing new vehicles from performance to fuel economy and emission. The gasoline engines adopting the naturally aspirated way use the throttle-body for engine load control. Therefore, its pumping loss increases more than that of the diesel engine, and also mostly operating in a partial load condition has bad influence on fuel economy and emission. In these days, the continuous variable valve timing system and variable induction system are adopted in order to improve fuel consumption and emission. In this study, we optimize the runner length and operate region of variable induction system to simulataneously improve the performance, fuel economy, and emission of gasoline engine with employing GT-Power as a CAE tool for engine analysis and PIAnO as PIDO tool for process integration and design optimization.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.2
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• pp.1-13
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• 2018

Purpose - The present research is to investigate the effect of psychological empowerment on turnover intention through job satisfaction and organizational commitment. Research design, data, and methodology - These include turnover intention as dependent variable, psychological empowerment as an independent variable and for mediating variables job satisfaction and organizational commitment. Also nationality of employee is used as a moderating variable. Survey data was collected was total 886 respondents from 345 Korean, 313 Chinese, 228 Japanese. Data analysis was conducted with SPSS to test reliability of variables with Cronbach's alpha and one variable confirmatory factor analysis to test common method bias. And regression analysis was conducted to confirm relationship among variables. AMOS was used for path analysis and to analysis moderating effect of employees' country. Results - The results of regression indicate that psychological empowerment increase job satisfaction, affective commitment, normative commitment and turnover intention. Job satisfaction, affective commitment and normative commitment decrease turnover intention. As for the moderating role of country, it seems that country does matter. Conclusions - Main conclusions of this research implicate that to decrease employee turnover intention company need to manage psychological empowerment, job satisfaction, and organizational commitment. Also there is need to consider similarity and difference in managing employees of Korea, China and Japan employees. Manager need to verify direction and importance of each antecedent then apply to employees.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.1
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• pp.121-132
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• 2018

Recent beauty trends focus on suitability to individual features. A personal color system is a recent aesthetic concept that influences color make up and coordination. However, a personal color concept has several weaknesses. For example, type classification is qualitative and not quantitative because its measuring system is a sensory test with no industry standard of personal color system. A quantitative personal color type classification model is the purpose of this study, which can be a solution to above problems. This model is a kind of mapping system in a 3D Cartesian coordinate system which has own axes, Value, Saturation, and Yellowness. The cheek color of the individual sample is also independent variable and personal color type is a dependent variable. In order to construct the model, this study conducted a colorimetric survey on a 993 sampling frequency of Korean women in their 20s and 30s. The significance of this study is as follows. First, through this study, personal color system is established on quantitative color space; in addition, the model has flexibility and scalability because it consisted of independent axis that allows for the inclusion of any other critical variable in the form of variable axis.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.71-78
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• 2012

This research discusses the application of the control variables to achieve a more precise estimation for the target response in queueing network simulation. The efficiency of control variable method in estimating the response depends upon how we choose a set of control variables strongly correlated with the response and how we construct a function of selected control variables. For a class of queuing network simulations, the random variables that drive the simulation are basically the service-time and routing probability random variables. Most of applications of control variable method focus on utilization of the service time random variables for constructing a controlled estimator. This research attempts to suggest a controlled estimator which uses these two kinds of random variables and explore the efficiency of these estimators in estimating the reponses for computer network system. Simulation experiments on this model show the promising results for application of routing probability control variables. We consider the applications of the routing probability control variables to various simulation models and combined control variables using information of service time and routing probability together in constructing a control variable as future researches.

• Journal of Fashion Business
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• v.18 no.2
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• pp.132-147
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• 2014

The purpose of this study is to classify the appearance concern into groups and analyze the differences of the attitude toward plastic surgery and clothing behavior by groups. Questionnaires are administered to 206 female adults in their 20's-50's living in Deagu and Kyungbook areas from $10^{th}$ July to $19^{th}$ July, 2013. Frequency, factor analysis, reliability analysis, correlation analysis, cluster analysis, ANOVA, Duncan-test and ${\chi}^2$-test were used for data analysis. The appearance concern is categorized as follows: appearance harmony focus and body focus. The attitude toward plastic surgery was found as risk tolerance, image improvement/surgery desire and keeping the secret of surgery. Clothing behaviors are found as individuality focus, other focus, convenience and luxury ostentation. The appearance concern shows a significant correlation with the sub-variable attitude toward plastic surgery and clothing behavior. One test in the groups is determined by demographic variables like occupancy and monthly income. Appearance concerns are classified into three groups as follows: appearance concern group, low appearance concern group and body concern group. The groups show a significant difference in the attitude toward plastic surgery and clothing behavior. This difference indicates that the 20's show a high body focus on their appearance concern, an attitude of image improvement/surgery desire toward plastic surgery and another individuality focus on clothing behavior while 50's care more about convenience in their clothing behavior.

• Management & Information Systems Review
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• v.31 no.4
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• pp.139-165
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• 2012

This paper examine the roles of social rapport and friendship which are the representative variables of strong emotional bonds between customers and firms in service relationship marketing. As results, social rapport and friendship were confirmed as positive moderators between a relational antecedent variable and a relational mediator variable. In other words, emotional bonds, such as social rapport and friendship, stimulated relationship development in service relationship marketing. Meanwhile, customer-firm emotional bonds seemed to be a negative effect on the stage of a relational mediator variable and a relational outcome variable. This meant that relational mediator variable and emotional bond variables(social rapport and friendship) individually had an positive effect on a relational outcome variable. If emotional bonds between customers and firms had already built, they could have positive influence on the relational outcome, regardless of relational mediator variables. Conclusively, firms' relational efforts focus on the building the emotional bonds with customers, not on the process of relational antecedents, mediators, and consequences.