• The Journal of Information Systems
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• v.25 no.3
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• pp.197-215
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• 2016

Purpose This study aims to investigate the factors that influence decision making in relation to providing personal information on the internet with respect to the integration of the privacy calculus theory and protection motivation theory based on the dual-calculus model proposed by Li(2012). Design/methodology/approach The privacy calculus theory and protection motivation theory have been applied to explain privacy behavior to a certain degree but few studies have been conducted to explain privacy behavior based on the integration of these two theories. Although Li(2012) proposed the dual-calculus model, he only proposed its framework and did not carry out an empirical study. Therefore, this study proposes a research model that integrates these two theories and examines the relationship between the two theories through an empirical study. Findings According to the results of empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between coping appraisal and privacy risk in the risk calculus process. Thus, the results verify that external threat played a decisive role in increasing the risk level of a consumer's privacy. It can be discussed the ways to enhance the privacy behavior of consumer on the internet through these findings.

• Culinary science and hospitality research
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• v.14 no.4
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• pp.368-384
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• 2008

This study was designed to investigate the results of a performance analysis on the effect of transformational leadership on the efficacy of organizational citizenship behavior of hotel convention employees. This study referenced the relevant literature, proposed hypotheses to solve the main issues of inquiry, and made a corresponding empirical analysis. For the empirical analysis, a questionnaire was given to a total of 149 kitchen and food & beverage banquet employees at a Seoul area deluxe hotel convention. The model was tested using SPSS 12.0 and AMOS 5.0 on a sample of 149 surveys, of which 71% constituted a usable response rate. The results of the empirical analysis show the following. 1) Charisma and vision have a significant effect on group efficacy. 2) Individual consideration and intellectual stimulation have significant influence on self efficacy. 3) Individual consideration and intellectual stimulation have significant influence on group efficacy. 4) Altruism and conscientiousness have significant influence on group efficacy. 5) Sportsmanship and civic virtue have significant influence on self efficacy.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.3
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• pp.54-62
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• 2017

When gears mesh, shock and noise are produced as results of tooth error and tooth deformation under load. Transmission error (TE) is the most important cause of gear noise and vibration because TEs affect the changes of the force and the speed of gears. Gear tooth modification research plays a positive role in reducing TE and improving the design level and transmission performance of transmission systems. In high-precision manufacturing gear, gear tooth modification is also commonly used to reduce noise in practical applications. In order to study the accuracy of gear transmission, some empirical gear profile micro-modifications are introduced, and a helical gear pair is modeled and analyzed in RomaxDesigner software to investigate the utility of these modification methods. Some of these will be selected as experimental proposals for gear pairs, and these manufactured gears will be tested and compared in a semi-anechoic room later. The final purpose of this study is to find reasonable and convenient empirical formulae to facilitate improved gear production.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.41
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• pp.205-234
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• 2009

The trade portal site is one of the innovative skills which makes it possible for trade companies to manage international trade activities more efficiently by using the newest information technology. Especially, trade portal site can be considerable help to small and medium-sized enterprises which have much difficulties in finding overseas buyers due to the lack of international marketing capabilities. This study attempts to present a comprehensive model about the determinants of e-Trust in domestic trade portal site and to suggest practical strategies for e-Trade. Therefore, a theoretical framework was presented by the literature review, and a empirical study was carried out through a questionnaire survey to those who have had experiences of visiting trade portal site. The empirical analysis had the following results. First, it reveals that reputation, web-site quality, transaction efficiency of the trade portal site have influence upon e-Trust dimension. On the other hand, perceived risk did not have significant relationship with e-Trust. Second, e-Trust had significant impact on willingness to depend on the trade portal site. And also, e-Trust had positive influence on performance of using which is measured by sales increase, information sharing, and synergy effect.

• Journal of Distribution Science
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• v.16 no.7
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• pp.17-24
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• 2018

Purpose - This study focuses on the quality of nonverbal communication by the flight attendants at the airline, and the factors that contribute to improve customer behavior, thereby providing positive implications for corporate management. Research, design, data, and methodology - For the empirical analysis of this study, reliability analysis and frequency analysis were conducted. T-test and ANOVA analyses were performed. In addition, the effects of nonverbal communication have on customer behavior have regressed analysis. The collected data was empirical suing the SPSS Win 18.0. Results - Among the non-verbal communication qualities were found to significantly influence customer attitudes, and demographic differences in airline flight attendants were also shown to influence their perceptions. Empirical analysis revealed significant differences in demographic characteristics between gender, age and airlines used. Conclusions - All of the non-verbal communication's attributes were found to significantly impact customer attitude. It is used to train the importance of nonverbal communication quality for the role of cabin crew members and to enhance the loyalty of the customers to Airline. This study identifies the relationship between the impact of non-verbal communication quality on customer attitudes and implies the importance of non-verbal communication quality for airline flight attendants. Also, this study suggests that there is a close mechanism between the nonverbal communication and the customer attitudes to airlines.

• Journal of Computing Science and Engineering
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• v.10 no.2
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• pp.58-67
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• 2016

With the large amount of complex network data that is increasingly available on the Web, link prediction has become a popular data-mining research field. The focus of this paper is on a link-prediction task that can be formulated as a binary classification problem in complex networks. To solve this link-prediction problem, a sparse-classification algorithm called "Truncated Kernel Projection Machine" that is based on empirical-feature selection is proposed. The proposed algorithm is a novel way to achieve a realization of sparse empirical-feature-based learning that is different from those of the regularized kernel-projection machines. The algorithm is more appealing than those of the previous outstanding learning machines since it can be computed efficiently, and it is also implemented easily and stably during the link-prediction task. The algorithm is applied here for link-prediction tasks in different complex networks, and an investigation of several classification algorithms was performed for comparison. The experimental results show that the proposed algorithm outperformed the compared algorithms in several key indices with a smaller number of test errors and greater stability.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.3
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• pp.374-383
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• 1998

Apparel Quality was one of the most important elements to evaluate the reputations of companies and products which affect the consumer's purchasing behavior. From researches on apparel quality, there was no common concept of quality as well as no common dimensions. The purposes of this study were to identify apparel quality concept and to classify the multi-dimensional concept of apparel quality. The research was carried out in theoretical as well as empirical studies. The theoretical study was conducted to find out apparel quality concept and divide apparel quality concept into four dimensions groups. The empirical study followed the theoretical study to confirm the multi-dimensional concept of apparel quality. The empirical study was investigated that the questionnaire was administered to 634 housewives in Seoul, Kwangju, and Busan during the fall of 1996. The data were analysed by LISREL analysis. This study identified that apparel quality was characteristics of consumer's desires for apparel. The results of the theoretical study verified that apparel quality concept was organized into four different dimensions: physical attribute, physical function, instrumental performance, and expressive performance.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.5
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• pp.701-711
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• 2006

Sewage treatment plants located near to large cities emit extremely higher concentration of odorous materials. This study evaluated flux profiles of ammonia emitted from the water surface of sewage treatment plants using a dynamic flux chamber. Also, an ammonia overall mass transfer coefficient and a mass transfer model was developed in order to estimate fluxes of ammonia using environment parameters and the flux from the sewage treatment plants. The developed mass transfer model was evaluated through a fitness analysis. Comparison modeled flux applying empirical overall mass transfer coefficients of ammonia and measured ammonia flux show a high linearity with 0.977. The flux ratio of 1.282 demonstrated highly statistical fitness, also. Modeled flux using the mass transfer model was compared with measured flux. In result, it indicated that empirical overall mass transfer coefficients were similar to measured flux. The mass transfer model using the empirical overall mass transfer coefficient developed in this study was proved to be an easy and effective method to make accurate and precise predictions for ammonia flux discharged from sewage treatment plants.

• Atmosphere
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• v.21 no.2
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• pp.143-149
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• 2011

A new multi-timescale analysis method, Ensemble Empirical Mode Decomposition (EEMD), is used to diagnose the variation of the MJO activity determined by 850hPa and 200hPa zonal winds from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) Reanalysis data for the 56-yr period from 1950 to 2005. The results show that MJO activity can be decomposed into 9 quasi-periodic oscillations and a trend. With each level of contribution of the quasi-periodic oscillation discussed, the bi-seasonal oscillation, the interannual oscillation and the trend of the MJO activity are the most prominent features. The trend increases almost linearly, so that prior to around 1978 the activity of the MJO is lower than that during the latter part. This may be related to the tropical sea surface temperature(SST). It is speculated that the interdecadal change in the MJO activity appeared in around 1978 is related to the warmer SST in the equatorial warm pool, especially over the Indian Ocean.

• East Asian Journal of Business Economics (EAJBE)
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• v.6 no.4
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• pp.35-45
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• 2018

Purpose - The operating mechanism between education input and economic growth is a mysterious proposition that has attracted a vast array of scholars' interests to study on it. Therefore, this paper sets China as an example to analyze the dynamic relationship between education input and economic growth. Research design and methodology - The annual time series from 1990 to 2017 will be employed to conduct an empirical analysis under the vector autoregressive model. The education input is treated as an factor that impacts the economic growth such as labor input and capital input. Meanwhile, the education input will be added to the Cobb-Douglas production function to form a new one so as to explore the dynamic relationship between education input and economic growth. Results - According to the results of empirical analysis, it can be found that the education input has an increasingly positive effect on economic growth. Simultaneously, the economic growth also has a positive effect on education input, but this kind of effect is not steady. Of course, the labor input and the capital input also can promote the economic growth to some degree. Conclusions - The education input is one of most important inputs for a country. Based on the empirical analysis, this paper suggests that the China's government should put more emphasis on the education input so to make its economy develop well.