• The Journal of Industrial Distribution & Business
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• v.4 no.2
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• pp.31-40
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• 2013

Purpose - This study attempted to identify the value promotion clues that may operate as a consumer's motive, by shedding new light on consumer value and by reconstructing each variable analyzed through the means-end chain (MEC) theory. Research design, data, and methodology - In this study, 202 copies of effective questionnaires using the data of Yang and Ju (2012) were subjected to correlation, regression, and SEM. Results - All store selection attributes were verified as having a positive influence on the relationship quality. Although the store selection attributes were verified as exerting a positive influence on the relationship quality, according to the verification result of the mediating effect, consumer value was verified to be influenced only by the relationship quality instead of by the store selection attributes. Conclusion - As a result of path analysis on the proposed model after modification, it was verified that only product factor had a statistically significant positive influence and that social value was completely mediating between relationship quality and emotional value. It may be highlighted that the MEC theory concept would be applicable to the cause-and-effect relationship model.

• Journal of the Korean Society of Industry Convergence
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• v.8 no.2
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• pp.85-95
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• 2005

The margin level in the futures market platys an important role in balancing the default probability with the investor's opportunity cost. In this paper, we investigate whether the movement of KOSPI200 futures daily prices can be modeled with the extreme value theory. Based on this investigation, we examine the validity of the margin level set by the extreme value theory. Moreover, we propose an expected profit-maximization model for securities companies. In this model, the extreme value theory is used for cost estimation, and a regression analysis is used for revenue calculation. Computational results are presented to compare the extreme value distribution with the empirical distribution of margin violation in KOSPI200 and to examine the suitability of the expected profit-maximization model.

• Communications of the Korean Mathematical Society
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• v.34 no.2
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• pp.495-506
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• 2019

Motivated by Bloch's principle, we prove a value distribution result for meromorphic functions which is related to Hayman's alternative in certain sense.

• Journal of Distribution Science
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• v.11 no.11
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• pp.71-76
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• 2013

Purpose - This study investigated the effect of consumers' personal characteristics on their attitude toward social commerce focusing on the theory of reasoned action. Specifically, consumers' personal characteristics were further classified into personal characteristics, personal values concerning social commerce consumption, and consumption emotion concerning social commerce. Research Design, Data, and Methodology - The study investigated the relationship among consumers' personal characteristics, and the personal values of affirmative beliefs and attitudes of individuals toward social commerce based on the theory of reasoned action. A total of 151copies question nairewere evaluated, after excluding 13 copies having poor answers. Results - Consumers' personal characteristics were found to have a significant positive effect on their attitude toward social commerce. In addition, the most important personal characteristic affecting consumers' attitude toward social commerce was utilitarian value. Consumers' personal values were found to have a significant positive moderating effect between shopping value (i.e., hedonic and utilitarian values) and their attitude toward social commerce. Conclusion - The findings suggest that consumers' attitudes when trading with social commerce are affected by utilitarian value, and that companies should increase consumers' shopping value and build positive value about social commerce itself.

• Journal of Distribution Science
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• v.12 no.9
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• pp.83-93
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• 2014

Purpose - This study attempted to identify any influencing relationships, between the antecedent variables and the members' innovative work behavior, which were expected to influence organizational performance based on the extended theory of planned behavior (ETPB). Research design, data, and methodology - The survey was conducted on SMEs in Seoul and its metropolitan area. A total of 158 copies of effective questionnaires were used and were analyzed through correlation analysis, regression analysis, and multiple regression. Results - Self-efficacy, value, intrinsic motivation, and self-enhancing bias have been found to have a positive relationship with innovative work behavior. In addition, transformational leadership was found to moderate the existence of a statistically significant negative influence between value, intrinsic motivation, and innovative work behavior. Conclusions - The results suggest that leaders will be successful in winning members' trust through conducting their behaviors in accordance with the applicable ethical and moral standards and through their fair, transparent, and legitimate management practices with an attitude of 'taking the initiative and setting an example', and this will help solve such problems.

• Kyungpook Mathematical Journal
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• v.61 no.3
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• pp.495-512
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• 2021

We study the value distribution theory of L-functions and completely resolve a question from Yang [10]. This question is related to L-functions sharing three finite values with meromorphic functions. The main result in this paper extends corresponding results from Li [10].

• Journal of Distribution Science
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• v.12 no.1
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• pp.13-19
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• 2014

Purpose - This study investigated relationship quality and/or loyalty, from the viewpoint that merchants and consumers could develop the traditional market. It reorganized variables to find the conditions of values that could stimulate consumers' motives to revive the traditional market. Research Design, data, and methodology - This study employed 202 copies of effective questionnaires, based on the data of Yang & Ju (2012), to conduct correlation, regression, and structured equation modeling (SEM). Results - The results emphasized product and store atmosphere as store selection attributes to consider in the minimum error correction (MEC) model; service factor was not significant. Further, consumers valued relationship quality in the test of mediated effects of the sub-factors of store selection attributes, including consumers' social and emotional value. The relationship quality significantly influenced consumers' value in traditional markets that needed to improve and develop using several variables. Conclusions - This study revealed connections between attributes, consequences, and values using the causal relation model, to generate an optimal model based on a practical and theoretical background and proposed ways to obtain consumer-related information easily.

• Journal of Ocean Engineering and Technology
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• v.33 no.3
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• pp.222-228
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• 2019

An extreme value analysis (EVA) is essential to obtain a design value for highly nonlinear variables such as long-term environmental data for wind and waves, and slamming or sloshing impact pressures. According to the extreme value theory (EVT), the extreme value distribution is derived by multiplying the initial cumulative distribution functions for independent and identically distributed (IID) random variables. However, in the position mooring of DNVGL, the sampled global maxima of the mooring line tension are assumed to be IID stochastic variables without checking their independence. The ITTC Recommended Procedures and Guidelines for Sloshing Model Tests never deal with the independence of the sampling data. Hence, a design value estimated without the IID check would be under- or over-estimated because of considering observations far away from a Weibull or generalized Pareto distribution (GPD) as outliers. In this study, the IID sampling data are first checked in an EVA. With no IID random variables, an automatic resampling scheme is recommended using the block maxima approach for a generalized extreme value (GEV) distribution and peaks-over-threshold (POT) approach for a GPD. A partial autocorrelation function (PACF) is used to check the IID variables. In this study, only one 5 h sample of sloshing test results was used for a feasibility study of the resampling IID variables approach. Based on this study, the resampling IID variables may reduce the number of outliers, and the statistically more appropriate design value could be achieved with independent samples.

• Journal of Distribution Science
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• v.22 no.5
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• pp.67-79
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• 2024

Purpose: The purpose of this study is to shopping medium determinants and consumer behavior differences based on the value of consumption. Methodology: The subjects of the survey were adult men and women in their 20s or older living in Korea, and 283 valid responses were obtained. A Logit model was used to identify consumption value factors and shopping medium choices. A t-test was conducted to analyze the differences between consumer behavior based on preferred shopping medium (on/offline). Results: The inclusion of community-oriented factors such as eco-friendliness and social contributions lead to higher likelihood of choosing offline shopping. In addition, consumers who value self-expression and who are price sensitive are more likely to choose online stores. Conclusions: It was found that community-oriented factors lead shoppers to choose offline shopping, and the need for self-expression lead shoppers to choose online stores.

• Bulletin of the Korean Mathematical Society
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• v.61 no.3
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• pp.597-610
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• 2024

Using the Nevanlinna value distribution theory of algebroid functions, this paper investigates the growth of two types of complex algebraic differential equation with algebroid solutions and obtains two results, which extend the growth of complex algebraic differential equation with meromorphic solutions obtained by Gao [4].