• International Commerce and Information Review
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• v.9 no.2
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• pp.375-397
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• 2007

This paper aims to develop international marketing strategies for Korean traditional food and gives some implications to firms that are ready to invest in developed countries with Korean traditional food and to the government that needs to make a policy to support the food industry in international marketing. For this, we researched data and studied domestic and international cases. Also, we extracted two common factors(namely product factor and image factor) through fourteen variables by factor analysis and tested whether both factors significantly influence on the success of international marketing(favorable impression). As a results, we found several key success factors(KSF), including both factors mentioned above and developed international marketing strategies for Korean traditional food reflecting these key success factors.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1422-1431
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• 2015

The reliability of power system components can be affected by a numbers of factors such as the health level of components, external environment and operation environment of power systems. These factors also affect the electrical parameters of power system components for example the thermal capacity of a transmission element. The relationship of component reliability and power system is, therefore, a complex nonlinear function related to the above-mentioned factors. Traditional approaches for reliability assessment of power systems do not take the influence of these factors into account. The assessment results could not, therefore, reflect the short-term trend of the system reliability performance considering the influence of the key factors and provide the system dispatchers with enough information to make decent operational decisions. This paper discusses some of these important operational issues from the perspective of power system reliability. The discussions include operational reliability of power systems, reliability influence models for main performance parameters of components, time-varying reliability models of components, and a reliability assessment algorithm for power system operations considering the time-varying characteristic of various parameters. The significance of these discussions and applications of the proposed techniques are illustrated by case study results using the IEEE-RTS.

• Journal of Distribution Science
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• v.16 no.1
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• pp.73-85
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• 2018

Purpose - The beauty salon industry is a highly competitive market. Every beauty salon shop aims to keep its customers satisfied and hopes that they will revisit several times. Hence, this paper investigates the key factors affecting the repurchase intention of consumers in the beauty salon industry in Taiwan. Research design, data, and methodology - We first use the content analysis of free-response narratives from beauticians to classify the key factors objectively and develop the questionnaire accordingly. We then distribute the questionnaire to 130 beauty salon consumers to complete the questionnaire. Next, the Grey Relation Analysis is employed to identify the key factors that affect the repurchase intention of consumers in the beauty salon industry. Results - From the perspectives of the beauty salon customers, the factors affecting the repurchase intention of consumers are (1) obvious treatment results, (2) the treatment space considers personal privacy, (3) the offer of promotional prices for treatment/product trials, and (4) the product knowledge of the beauticians. From the perspectives of the beauticians, the factors include (1) the treatment space is well-designed and makes the customers feel relaxed, (2) enhancement of the customer relationship, (3) the treatment space considers personal privacy, and (4) the positive service attitude of the beauticians. Conclusions - We analyze all the key factors and offer some suggestions as a conclusion.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.2074-2093
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• 2022

RSA is known as one of the best techniques for securing secret information across an unsecured network. The private key which is one of private parameters is the aim for attackers. However, it is exceedingly impossible to derive this value without disclosing all unknown parameters. In fact, many methods to recover the private key were proposed, the performance of each algorithm is acceptable for the different cases. For example, Wiener's attack is extremely efficient when the private key is very small. On the other hand, Fermat's factoring can quickly break RSA when the difference between two large prime factors of the modulus is relatively small. In general, if all private parameters are not disclosed, attackers will be able to confirm that the private key is unquestionably inside the scope [3, n - 2], where n is the modulus. However, this scope has already been reduced by increasing the greatest lower bound to [d_il, n - 2], where d_il ≥ 3. The aim of this paper is to decrease the least upper bound to narrow the scope that the private key will remain within this boundary. After finishing the proposed method, the new scope of the private key can be allocated as [d_il, d_ir], where d_ir ≤ n - 2. In fact, if the private key is extremely close to the new greatest lower bound, it can be retrieved quickly by performing a brute force attack, in which d_ir is decreased until it is equal to the private key. The experimental results indicate that the proposed method is extremely effective when the difference between prime factors is close to each other and one of two following requirement holds: the first condition is that the multiplier of Euler totient function is very close to the public key's small value whereas the second condition is that the public key should be large whenever the multiplier is far enough.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.273-278
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• 2001

Since its introduction in mid 1990s, Financial Crisis in Korea, knowledge management (KM) has been considered as a new, optimal way of corporate management style. And a large number of researches, either theoretically or empirically, were carried out in order to find out what the key success factors will be in common. However, though key success factors are extracted, it can hardly be a successful project if those are not well matched for the unique industry characteristics, still more in construction industry. Even we can find some KM precedents in construction industry, it can hardly be revealed how far they exerted themselves in order to match key factors with industry characteristics. Hence, at the dawn of implementing KM, this research work will scrutinize key success factors (KSFs) derived from previous studies and funnel those KSFs into construction domain. Then rearranged KSFs will be proposed with each key issues. Therefore, this article can contribute to setting strategies for KM in construction sector.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.115-124
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• 2019

This study is an empirical study of 'the effect of the key factors of Smart Factory on management performance through internal environmental factors in small and medium enterprises'. The purpose of the research is to verify that the implementation of a Smart Factory affects the performance of management and contribute to the continued development of the company, and to suggest the national policy of expanding the deployment of a Smart Factory. The procedures were surveyed by working-level officials of small and medium-sized manufacturing companies with a Smart Factory and statistically analyzed with the SPSS and SMART PLS. The results of the study showed that first, the environmental factors within the company had a positive effect on the key components of the Smart Factory. Second, the key factor in Smart Factory has had a positive impact on management performance. The above evidence shows that the key factors in smart factory considering the environmental factors of an enterprise affect its management performance, thus laying the theoretical foundation for the performance of smart factory construction. In the future, we will study how to build a Smart Factory.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.11-18
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• 2006

Many web-based learning systems have been developed and used widely. But it is known that web-based courses have higher drop out rate. Prior studies in classroom-based courses have shown there is a high correlation between student satisfaction and retention. This paper examines the developed web based self-regulated learning system and analyze self-regulated learning factors. We have derived key factors and their relationship that affect student satisfaction in web-based learning. The key factors are Self-evaluating, Goal setting & Planning, Seeking information, Seeking social assistance and Reviewing records. We found the key factors will help retention in web-based learning.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.31
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• pp.163-176
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• 1994

Over the last few years Total Quality Management (TQM) programs have hem widely adapted by Korean manufacturing firms to improve their productivity, competitive edge and product quality levels. The purpose of this study is to evaluate the level of importance placed on four key TQM factors (customer satisfaction, strong management leadership, continuous improvement, imployee involvement and participation) used during the implementation of korean manufacturing TQM programs and to assess the effectiveness of those key factors in improving the performance of the firms. A Questionaire was developed and sent to senior managers in manufacturing organizations throughout korea. This survey asked qustions regarding 1) the firm's business environment and TQM program development 2) subcomponents of the key factors and 3) the effectiveness of the TQM program at improving the performance of the organization. The survey data were analyzed to determine the degree of correlation between each of the factors and the effectiveness of the TQM programs. This study demonstrated that the TQM programs were instrumental at improving the performance of the firms studied, and that the improvement was positively correlated with the length of time that the program had been implemented and the planned duration of the TQM program implementation. It was found that the person-oriented elements of management leadership and employee involvement were positively correlated and predictive of the success of the TQM Program, while the process-oriented components of customer satisfaction and employee involvement were not useful predictors of the effectiveness of the TQM program implementation.

• Proceedings of the KSR Conference
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• 2002.10b
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• pp.929-936
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• 2002

This paper presents a Rotem's methodology for the establishment of train operation plan in Railway system. Train operation plan is the key prior plan to proceed the design of the civil and E&M relevant subsystem. But, due to the limitation of the environmental and project condition, common consensus to the key factors which make up the operation plan have not been accomplished. So, as a result of this comparative review for the general approaching method of train operation plan and application status of the major key factors being performed by Rotem, we will get the opportunities to improve the accuracy of the train operation plan.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.117-137
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• 2020

The development of information technology leads to changes in various industries. In particular, the health care industry is more influenced so that it is focused on. With the widening of the health care market, the market of smart device based personal health care also draws attention. Since a variety of fitness applications for smartphone based exercise were introduced, more interest has been in the health care industry. But although an amount of use of mobile fitness applications increase, it fails to lead to a sustained use. It is necessary to find and understand what matters for mobile fitness application users. Therefore, this study analyze the reviews of mobile fitness application users, to draw key factors, and thereby to propose detailed strategies for promoting mobile fitness applications. We utilize text mining techniques - LDA topic modeling, term frequency analysis, and keyword extraction - to draw and analyze the issues related to mobile fitness applications. In particular, the key factors drawn by text mining techniques are explained through the concept of user experience. This study is academically meaningful in the point that the key factors of mobile fitness applications are drawn by the user experience based text mining techniques, and practically this study proposes detailed strategies for promoting mobile fitness applications in the health care area.