• Industry Promotion Research
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• v.7 no.3
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• pp.9-16
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• 2022

In the midst of increasing interest in the environmental responsibility of companies, this study investigates how eco-friendly activities affect the creation of management performance. To this end, the effect of companies' green marketing on consumers' word-of-mouth intention, the mediating effect of brand reliability, and the moderating effect of consumers' pro-environmental behavior were verified. The results of the collected data analysis are as follows. First, companies' green marketing has a positive (+) effect on consumers' word-of-mouth intention. Second, brand reliability takes a positive (+) mediating role in the relationship between companies' green marketing and consumers' word-of-mouth intention. Third, consumers' pro-environment behavior has a moderating role between Brand Reliability and their word-of-mouth intention. Therefore, companies' eco-friendly strategies and their implementation will help enhance both brand reliability and consumers' word-of-mouth intention. By revealing the effect of companies' eco-friendly strategies and their implementation on brand reliability and consumers' word-of-mouth intention it is meaningful to analyze the relationship between green marketing and the possibility of consumers' spontaneous word-of-mouth intention. The results suggest to companies that it is necessary to establish an eco-friendly marketing strategy for sustainable growth.

• International Journal of Reliability and Applications
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• v.2 no.3
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• pp.209-240
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• 2001

Computer-based simulation and analysis is used extensively in engineering for a variety of tasks. Despite the steady and continuing growth of computing power and speed, the computational cost of complex high-fidelity engineering analyses and simulations limit their use in important areas like design optimization and reliability analysis. Statistical approximation techniques such as design of experiments and response surface methodology are becoming widely used in engineering to minimize the computational expense of running such computer analyses and circumvent many of these limitations. In this paper, we compare and contrast five experimental design types and four approximation model types in terms of their capability to generate accurate approximations for two engineering applications with typical engineering behaviors and a wide range of nonlinearity. The first example involves the analysis of a two-member frame that has three input variables and three responses of interest. The second example simulates the roll-over potential of a semi-tractor-trailer for different combinations of input variables and braking and steering levels. Detailed error analysis reveals that uniform designs provide good sampling for generating accurate approximations using different sample sizes while kriging models provide accurate approximations that are robust for use with a variety of experimental designs and sample sizes.

• Asian Journal of Turfgrass Science
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• v.25 no.2
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• pp.223-228
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• 2011

This research was performed to investigate change of green speed according to growth of grass, for this, the method of effective green management for improvement of green speed was searched by investigating green density, soil moisture, surface hardness, and mowing height every day for 6 months. As the result of the study, reliability between, green density, soil moisture, surface hardness, mowing height and green speed were measured to be respectively 0.4742, 0.5690, 0.4632, 0.2806, i.e. soil moisture is considered as the factor which affects green speed the most. Therefore, it will be an advantageous environment to maintain soil moisture a little bit low to improve green speed within the range that does not disrupt the growth of green. In case of green density, it is considered to be effective to get a fast green speed when obtaining enough density during May~June, the most vigorous growth period and at the same time green up period. Surface hardness was confirmed that management work as rolling is a considerably effective method to increase hardness. However, rolling gives high stress to the green, combining another management work as regular hilling could be a good alternative. Reliability of green preview and green speed was 0.2806, lower than soil moisture or surface hardness. Through the results, it was confirmed that management of mowing height to be low less than 3.00 mm is helpful to improve green speed, timely, and it is advantageous to manage green speed when adjusting mowing height during the vigorous growth period of bent grass. However, considering the range of mowing height was not various, being 2.9~3.4 mm, henceforth research on investigation of green speed at more various mowing heights would be necessary. Consequently, except mowing height, other three factors, i.e. green density, soil moisture and surface hardness were investigated to have considerable level of reliability on green speed, and it is considered that each factor affects green speed respectively according to green condition and time. Accordingly, in order for the manager to maintain high speed all year round, intensive care for each factor per time unit considering green growth condition is considered to be necessary.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.535-546
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• 2024

This research aims to develop a model to objectively and quantitatively measure the skill level of aircraft body assembly workers. Because aircraft body assembly is predominantly a manual process, skills management is a key factor of manufacturing competitiveness. Currently, skills management relies on the subjective judgment of supervisors, which lacks objectivity and reliability. As a remedy, this study proposed a systematic skill management model based on objective and quantitative evaluation criteria. By considering prior research, we developed an evaluation model that takes into account both expertise and versatility of a worker. The model selected five major tasks required for aircraft body assembly and established evaluation criteria considering the difficulty and maturity of each task. We then conducted a pilot evaluation with over 200 workers in four SMEs to validate the practicality and effectiveness of the model. Consequently, we identified and addressed the limitations of the existing evaluation method, subdivided the skill levels based on the performance capabilities of each task, and proposed a career growth path. The developed evaluation model offers critical data for executives and managers to determine work assignments, education, training, performance incentives, and wages. It is expected to enhance the attraction of new talent and systematize skills management in aviation manufacturing in the future.

• Asia-Pacific Journal of Business
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• v.8 no.2
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• pp.15-30
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• 2017

This study analyzes the relationship between income inequality and economic growth. Gini coefficient (market income), the deciles income inequality index and per capita real GDP were analyzed. Furthermore, various cointegration tests were tried to improve the reliability of the test results. From the weak exogeniety test of between per capita real GDP and the Gini coefficient (market income), per capita real GDP has a weak exogeneity while the Gini coefficient is endogenous. From the various cointegration tests, we found out that there is a cointegration between Gini coefficient and per capita real GDP. Moreover, it is estimated that per capita real GDP has a positive effect on the Gini coefficient (market income). In the VAR Granger causal analysis, per capita real GDP affects the Gini coefficient (market income), but it is difficult to say that the Gini coefficient (market income) always has an effect on per capita real GDP. Also, the impulse-response function of the VAR model shows that per capita real GDP temporarily reduces the Gini coefficient (market income), and then increases it over time. Accordingly, it is necessary for the policies to improve not only the distribution structure but also income distribution through economic growth.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.3
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• pp.92-98
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• 2017

The rapid growth of engineering technology and the emergence of systemized and large-scale engineering systems have resulted in complexity and uncertainty throughout the lifecycle activities of engineering systems. This complex and large-scale engineering system consists of numerous components, but system failure can be caused by failure of any one of a number of components. There is a real difficulty in managing such a complex and large-scale system as a part. In order to efficiently manage the system and have high reliability, it is necessary to structure a system with a complex structure as a sub-system. Also, in the case of a system in which cause of failures exist at the same time, it is required to identify the correlation of the components lifetime and utilize it for the design policy or maintenance activities of the system. Competitive risk theory has been used as a theory based on this concept. In this study, we apply the competitive risk theory to the models with combined structure of series and parallel which is the basic structure of most complex engineering systems. We construct a competing risks model and propose a mathematical model of net lifetime and crude lifetime for each cause of failure, assuming that the components consisting a parallel system are mutually dependent. In addition, based on the constructed model, the correlation of cause of failure is mathematically analyzed and the hazard function is derived by dividing into net lifetime and crude lifetime.

• Journal of Korean Society for Quality Management
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• v.29 no.2
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• pp.54-75
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• 2001

The tremendous growth of the Internet, particularly World Wide Web, has resulted in significant changes in commerce environments. Internet has brought significant changes in the economics of marketing channels and has led to a redefinition of industry value chain. Electronic Commerce(EC) has become so important that countries and firms unprepared for this new trend would lose competitive advantages in the coming century of Digital Economy. Despite its importance, current EC markets in Korea are immature and there still exist several barriers to EC development thus excluding business to consumer EC markets. As interest in quality management and its effect on competitive performance has grown, there has been a corresponding proliferation of research. However, the majority of the research on quality management has not evolved in a comprehensive and rigorous fashion, particularly with regard to reliability and validity issues. The purpose of this paper investigates on Vitalization of the Activities of on-line shopping mall under of TQM system in Korea. That would make it possible to remove elements of insecurity and doubt currently felt by many users of on-line shopping mall(internet detail or cyber mall) business. In addition, we tried to find out what factors discourage consumers from using electronic purchasing methods, as well as how perceived quality factors and customer satisfaction when consumers are exposed to the purchase process on the on-line shopping mall business.

• Journal of the Korean Institute of Gas
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• v.12 no.3
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• pp.1-6
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• 2008

The safety management of the LNG industry which shows huge growth recently, become an essential element. So the necessity of development for the pre-existing LNG storage/transport facility has been shown up and the improvement of information technology (IT) of these days make it possible to synthesize several models for integrated LNG facilitiy safety management system. This system will contains risk analysis/assessment technology, explosion, leakage and diffusion model construction technology, real-time monitoring and fault diagnosis technology, and reliability progression technology of process information through data reconciliation. The final integrated safety management system will contribute the increase of LNG industry's safety and exportation of technique.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.172-184
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• 2014

Economic growth with rising household income has put more vehicles on the roads worsening traffic congestion, road accidents, and air and noise pollution. This situation is further aggravated by the potential working population who choose to drive to work instead of taking public transportation. Public bus transport (PBT) plays an important role in alleviating these problems. PBT is underutilized in Malaysia, and there is an opportunity to increase ridership without substantial investment. Therefore, this study was conducted to investigate the factors that influence the use of PBT in Malaysia. The data were collected using structured questionnaires from 400 respondents. The results of the analysis show that the twin factors consisting of perceived satisfaction of and perceived importance by users towards safety and comfort of facilities and services offered by PBT are significantly related to intention to use those services. The satisfaction of availability of season tickets, the importance of reliability of bus schedule and time table, and the importance of ticket pricing are also significant. By providing insights for both public bus operators and the government, this paper contributes to mitigate the underutilization of PBT in Malaysia and the consequences of putting more vehicles on the roads. From the theory perspective, this paper also contributes by extending the theory of reasoned-action to transportation studies.

• Journal of Korea Trade
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• v.26 no.3
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• pp.63-78
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• 2022

Purpose - This study's purpose is to analyze which factors are more important to strengthening the competitiveness of global innovative companies by firstly sampling global 40 enterprises, secondly investigating of study models empirically, thirdly finding out significant implications through research, and finally using this result to help improve global companies' competitive edges. Design/methodology - Developing three research models of hypothesis and using 5 variables such as technology innovation, knowledge management, human resource development, sustainable management, and corporate life, this study was empirically carried out by reliability and validity testing, correlation analysis of variables, and multiple regression analysis of three research models. Findings - Through proceeding empirical analysis study, we found out that technology innovation and sustainable management had a significant impact on strengthening competitiveness through the hypothesis test. Those two factors had positive results and a synergy effect through correlation analysis along with process change and human resource development, which are also important areas in global innovative companies. Originality/value - In line with the fourth industrial revolution era's acceleration and COVID-19's large impact on all industries, global companies are newly developing their business models to cope with external environment change. This study's results would be meaningful for global enterprises and domestic companies to improve their overall competitive edge by reinforcing their innovation strategy, preparing next growth engines, diversifying business portfolios, and setting business milestones.