• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.16 no.6
• /
• pp.1-6
• /
• 2017

Recently, the brittle materials such as ceramics, glass, sapphire and textile material have been widely used in semiconductors, aerospace and automobile owing to high functional characteristics. On the other hand, it has the characteristics of difficult-to-cut material relative to all materials. In this study, diamond electro-deposited band-saw machine was developed to operate stably using water-coolant type through relative motion between band-saw tool and $Al_2O_3$ material. High densified $Al_2O_3$ material was manufactured by spark plasma sintering method. The bulk density was observed by the Archimedes law and the theoretical density was estimated to be $3.88g/cm^3$ and its hardness 14.7 MPa. From the dicing sawing test of $Al_2O_3$ specimen, behavior of surface roughness and band-saw wear are dominantly affected by the increase of the band-saw linear velocity. Additionally, an continuous pattern type of diamond band-saw was a very effective due to entry impact as a one-off for brittle material.

• Journal of Distribution Science
• /
• v.14 no.5
• /
• pp.115-123
• /
• 2016

Purpose - Nowadays the competition between companies has been intensified in the aviation industry. It is hard to maintain successful market share in challenging managerial environment. Not long ago, a Korean major aviation company had faced social condemnation cause of managerial staff's immoral behaviors. That company suffers great losses in company brand value in terms of authenticity as an aviation company. This research tried to show the effect of brand authenticity in the aviation industry. First of all, this research tried to define the dimensions of the brand authenticities based on the former researches. This research suggested the airline brand authenticities as three kinds of dimensions. The dimensions of authenticities consist of performance aspects, symbolic aspects and moral aspects. And this research also tried to show the relationships between brand authenticities and consumers attitudes. Research design, data and methodology - The empirical research design is based on the experiments with six types of advertisement prototypes. The advertisement prototypes were based on three types of authenticities' characteristics. The prototypes were made of core statements about each authenticity. And the advertisement prototypes also were based on the aviation company types. The types of aviation companies could be divided into FSC(full service carrier)and LCC(low cost carrier). So the whole experiments were performed with six kinds of advertisement prototypes(3 brand authenticities X 2 aviation company types). The age of participants were from 20s to 40s. The proportion of participants' demographics are as follow. Age proportion is 50% of 20s and 50% of 30s and 40s. Gender proportion is 46% males and 54% females. The experiments performed through mobile devices. Advertisement prototypes were exposed to the participants through their mobile devices, and they answered the questionnaires. All the process of experiments were performed by a professional research firm to maintain the quality of data. Results - This research suggested some important outcomes as follow. First, brand authenticity had an important role to make a positive consumer attitude on the aviation company. All the three types advertisement of authenticities had a positive impact on the consumer attitude for the aviation company. Second, the three types of brand authenticities in the performance aspects, symbolic aspects, and moral aspects had a major impact on the consumers attitudes. The performance authenticity had the biggest effect on the consumer attitudes. Third, the types of aviation companies like FSC and LCC had a different correlation with types of authenticities. All the types of authenticities affected on the consumers attitudes in the FSC case. The symbolic authenticity had the biggest effect in the FSC case. But the performance authenticity showed the most striking effect in the LCC case. Conclusion - From this research, we can get a conclusion. The brand authenticity of aviation company should be managed carefully to maintain a positive brand image and consumers attitudes. And airline brand authenticities can be consist of three type dimensions. All the types of authenticities affects on the consumers attitudes positively. The symbolic authenticity affects more in the FSC case, and the performance authenticity influences more in the LCC case.

• Journal of Intelligence and Information Systems
• /
• v.16 no.4
• /
• pp.67-84
• /
• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.3
• /
• pp.191-209
• /
• 2023

Amid rapid changes in technological innovation due to the influence of the 4th Industrial Revolution and COVID-19, research related to absorption capacity and patent activities to promote technological innovation of Korean technology start-ups is important in this uncertain environment. This study aims to examine the effects on entrepreneurial performance and patent activities by reconstructing absorptive capacity, an organizational capability, for technology-based startups in fields such as BT and ICT with less than seven years of establishment, distinguishing between potential absorptive capacity and realized absorptive capacity. The study also seeks to develop a theoretical research model. To accomplish this, data was collected from managerial executives, including CEOs of 215 technology startups. The following hypotheses were tested: Firstly, potential absorptive capacity had a significant impact on patent activities, while realized absorptive capacity did not. Secondly, potential absorptive capacity had a significant impact on technological performance, while realized absorptive capacity did not. Thirdly, both potential and realized absorptive capacity had a significant impact on financial and non-financial performance. Fourthly, patent activities indirectly influenced potential absorptive capacity and technological performance, but did not affect realized absorptive capacity. Fifthly, patent activities indirectly influenced potential absorptive capacity and financial performance, but did not affect realized absorptive capacity. Lastly, patent activities indirectly influenced potential absorptive capacity and non-financial performance, but did not affect realized absorptive capacity. The practical significance of this study lies in providing useful guidelines for building the core capabilities of organizations through absorptive capacity and patent activities. Furthermore, it is expected that startups that have not recognized the formation process of absorptive capacity for patent activities will perceive the formation mechanism of absorptive capability anew and show considerable interest in future potential and realized absorptive capacity as part of their management strategies. This is anticipated to play an important role in adapting to rapidly changing technological advancements, the startup ecosystem, and securing sustainable competitive advantages.

• Journal of Korean Society for Quality Management
• /
• v.42 no.3
• /
• pp.425-444
• /
• 2014

Purpose: This study aims to overcome the problem of private education market environment which is polarized into commercialized large private education institutions and small and medium sized private education institutions in a poor business environment, and develop systematic performance measurement model applicable for small and medium sized private education institutions. Methods: To develop the BSC which measures financial and non-financial indicator in a balanced manner and introduce the BSC into private education institutions that contain conflicting goals "EDUCATION" and "PROFIT". In particular, Utilizing the methodology of AHP, the priority of strategies and execution assignments are derived. Results: BSC model was developed and introduced by cooperating with executives of the private education institution. Moreover, the study permits to achieve the strategy, enterprise-wide vision and mission by deriving strategy map and applying it to the private education institution. To measure the performance of BSC model instruction, KPI corresponding to the strategic objectives of each perspective was derived. Conclusion: BSC model generally introduces to large-sized companies and public institutions. In this study, BSC model is developed by focusing on small and medium sized private institution. Furthermore, this study is more than simple model development, it makes a connection with achievement of strategic objectives, enterprise-wide vision and mission through strategy map and strategy execution method. Through the developed BSC model and strategy execution method, utilization plan in practice and customized model for private education institutions coexisting profit and non-profit objectives were developed, and academic implications were presented.

• Journal of Digital Convergence
• /
• v.12 no.12
• /
• pp.93-106
• /
• 2014

All of smart phone users not always make a good use of mobile shopping. The main cause is that in case of non-user of mobile shopping, potential apprehension to psychological and security weakness affects building up resistance on mobile shopping. In this paper, we designed models of innovation resistance heavily based on literature reviews and previous studies, and tried to find how perceived risk affects consumer's purchase intention in mobile shopping process. In conclusion, it shows that security, one of psychological factors, affects perceived risk in all aspects, while negative influence of society and cognitive dissonance just affect social risk and delivery risk, and uncertainty also just affects performance risk. Besides, it shows that all of variables made up perceived risk affects resistance of purchase. Especially social risk turns out to be a most influential factor to purchase behavior through smart phone.

• The Journal of Industrial Distribution & Business
• /
• v.11 no.3
• /
• pp.63-71
• /
• 2020

Purpose: Most of all studies regarding corporate social responsibility have been dealing with its direct performance. Many previous studies provided the evidence that corporate social responsibility activities directly affect firms' competitiveness or corporate reputation. However, there are no studies regarding the role of social capital between corporate social responsibility and firms' competitiveness. The present study aims to examine a mediating role of social capital between corporate social responsibility and corporate reputation. Research design, data and methodology: The structural equation model integrating corporate social responsibility, social capital, and corporate reputation was proposed with three hypotheses. Questionnaire including 15 question items for three concepts was designed. Data for testing hypotheses were collected from students and staff who had experienced the social responsibility activities of Korea Hydro & Nuclear Co. Ltd. SPSS and SmartPLS were used to analyze data. Results: All three hypotheses were supported at the significance level of 0.01. Corporate social responsibility have a significant influence on social capital as well as corporate reputation. Social capital plays a mediating role in the relationship between corporate social responsibility and corporate reputation. Conclusions: The present paper identified a missing link between corporate social responsibility and corporate reputation by validating an indirect effect of corporate social responsibility on corporate reputation through social capital. The present study contributes to finding the indirect link between corporate social responsibility and corporate reputation. Implications for academics and practitioners. The research model can be extended to analyze the relationship between corporate social responsibility and its performance. The present study sheds light on identification of a new role of social capital. Managers of firms have the opportunity to recognize the fact that investment recovery of corporate social responsibility results from social capital and corporate reputation in long-term rather than short-term. The results of this study offers an insight that managers can enhance customer loyalty. The process linking corporate social responsibility to corporate reputation through social capital implies that firms can realize spiritual marketing delivering authentic storytelling through corporate social responsibility. The present study has a limitation for generalizing of research results because the sampling came from a case of firm.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.9
• /
• pp.1504-1514
• /
• 2010

Relationship marketing can be one of the most efficient strategies to enable a company to achieve business success in the recent marketing environment of tough competition and the diverse desires of consumers for new products. Using relationship marketing instead of mass marketing can help a company increase profits. For proper research in relationship marketing, it is indispensable to study relationship benefits. This study provides specific information in terms of relationship benefits to help develop the marketoriented strategy of a company. The results are as follow. The relationship benefit had a significantly positive effect on relationship quality (trust, satisfaction, and commitment). A relationship benefit was divided into three dimensions: customization benefit, informational benefit, and emotional benefit. Especially, emotional benefit appears as the most positive effect on satisfaction and the customization benefit appeared as the most positive effect on trust and commitment. The customization benefit and emotional benefit had a significantly positive effect on long-term relationship orientation, repurchase intention, and word of mouth. Informational benefit was not a significant influence on repurchase intention and word of mouth. Customization benefit appeared the most positive effect on long-term relationship orientation and word' of mouth. Emotional benefit appeared the most positive effect on repurchase intention. The relationship quality had a significantly positive effect on relationship performance. The findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the relationship marketing process.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.12
• /
• pp.2911-2918
• /
• 2014

Nowadays, most Internet servers run on virtual a network which connects each virtual machine, to process large amounts of data on single physical computer. The virtual machines for their own purposes are interconnected to other virtual server systems with various types of operating systems. Each virtual server may share one physical computer resources and operates at a service seamlessly to each other. Sometimes even the virtual machines are implemented using a method that lease the physical IT resources without purchasing physical server. Therefore, a virtual switch is needed to improve the performance when a large number of virtual machines operate on physical server. In this study, the implementation and investigation was performed for the virtual switches, OpenvSwitch and DPDKvSwitch, in order to provide the necessary high-performance cloud services to creative business.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.6
• /
• pp.191-199
• /
• 2012

By the way, in light of the knowledge, even public institutions are paying much attention to the management of IT assets for achieving organizational goals. Recently, some public institutions adopt balanced scorecard for enhancing efficiency in operations and management of total administrations. To be interested, some key performance indicators(KPI) of the balanced scorecard reflect the three aspects of IT assets and their possible outcomes. The main focus of this study is to investigate whether there is positive effects of IT asset management through balanced scorecard at public institutions. Specifically, we selected and classified KPIs into different categories depending on three aspects of IT assets, internal process change, and organizational outcomes. To address relationships of KPIs among the categories, we specified each category and developed as a variable respectively. A middle-sized city provided us with 138 KPIs for the development of scales.