• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.271-280
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• 2020

Purpose : The purpose of this study examines the mediating effect of women leader's characteristics in the relationship between clan culture and market culture of global companies. In addition, this study attempts to analysis the mediating effect of women leader's position and carrier in the relationship among facilitator, mentor, producer, and director leadership using partial mediation and completed mediation model. Research design, data, methodology : Conceptual research model is designed with three constructs such as clan culture, woemn leader's characteristics, and market culture. Based on five hundred cases with leadership styles and organizational culture of global companies, this study examine the mediating effect of women leader's characteristics in the relationship between clan culture and market culture using structured equation modeling. Results : Facilitator leadership have a significantly positive influence on women leader's position and carrier. Mentor leadership have a significantly positive influence on women leader's carrier while they are not correlated with mentor leadership and women leader's position. Women leader's position and carrier have a significantly positive influence on director leadership while women leader's position and carrier not have a positive influence on procucer leadership. Also facilitator and mentor leadership have a significantly positive on producer and director leadership. Conclusions : By controlling for the mediating effect of women leader's characteristics, this study have improved the academic contributions as well as policy and practical implications through empirical study of clan culture that affect market culture in the filds of leadership style and organizational. In addition, this study means that the mediating effects on the variables of women leader's position and carrier were examined.

• 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.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.19-26
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• 2019

The paper aims to measure stock price volatility on Ho Chi Minh stock exchange (HSX). We apply symmetric models (GARCH, GARCH-M) and asymmetry (EGARCH and TGARCH) to measure stock price volatility on HSX. We used time series data including the daily closed price of VN-Index during 1/03/2001-1/03/2019 with 4375 observations. The results show that GARCH (1,1) and EGARCH (1,1) models are the most suitable models to measure both symmetry and asymmetry volatility level of VN-Index. The study also provides evidence for the existence of asymmetric effects (leverage) through the parameters of TGARCH model (1,1), showing that positive shocks have a significant effect on the conditional variance (volatility). This result implies that the volatility of stock returns has a big impact on future market movements under the impact of shocks, while asymmetric volatility increase market risk, thus increase the attractiveness of the stock market. The research results are useful reference information to help investors in forecasting the expected profit rate of the HSX, and also the risks along with market fluctuations in order to take appropriate adjust to the portfolios. From this study's results, we can see risk prediction models such as GARCH can be better used in risk forecasting especially.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.133-148
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• 2009

This study has tried to suggest a new model that can effectively redistribute the tickets in the online ticket resale market, while suggesting a new allocation mechanism based on an agent negotiation. To this end, this study has analyzed an auction in the online ticket resale market through Game theory. As a result of new agent mechanism, it has been proved that the price stability of ticket resale market leads to an increase. An agent negotiation helps to stabilize the ticket prices that are usually inclined to rise at auction, benefiting all the participants in the negotiations, consequently showing a Pareto solution. Especially, a framework for a negotiation process is suggested and domain and processes ontology are designed interrelatedly. With this modeling, a possibility of Ontology based agent negotiation is suggested.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.613-620
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• 2020

COVID-19 pandemic has made the economy in Indonesia sluggish, especially Small and Medium Enterprises (SMEs). Simultaneously, the SMEs existence in Indonesia is fundamental and considered important by the government since it is able to assist numerous laborers and become an income source for the lower and middle classes of the community. The productivity of SME in a region will undeniably influence the availability of job and, of course, reduce the number of unemployed. Therefore, in this study, the researchers looked at how to improve SMEs performance to continue to exist amid the COVID-19 pandemic, by identifying the relationships between product characteristics, market competitive strategies, and the performance of SMEs. The research was done on SMEs in West Java, Indonesia. The example employed was Batik SMEs in Cirebon with at least 10 years in existence, and the total number of these SMEs was 165. As the basis of a quantitative approach, this study employed survey instruments by distributing a questionnaire. In analyzing the data, it utilized the structural equation modeling (SEM). The result showed a significant relationship between Product Characteristics, Market Competitive Strategy, and Price and Product Success Rate on SMEs Performance. This study's findings contribute to the SMEs performance literature.

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.94-96
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• 2004

This paper discusses the development of the educational simulator for the electricity spot market in korea. The interaction between lectures and users can be much enhanced via the web-based programs which result in the student's teaming effectiveness on an electricity spot market. However the difficulties for developing web-based application programs are that there can be the numerous unspecified users to access the application programs. To overcome the aforementioned multi-users problem and to develope the educational simulator, we have revised the system architecture, the modeling of application programs, and database which efficiently and effectively manages the complex data sets related to an electricity spot market. The developed application program is composed of the physical three tiers where the middle tier is logically divided into two kinds of application programs. The divided application programs are interconnected by using the Web-service based on XML (Extended Markup Technology) and HTTP (Hyper Text Transfer Protocol) which make it possible the distributed computing technology.

• Journal of Fashion Business
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• v.23 no.1
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• pp.89-102
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• 2019

The objective of this study was to investigate the influence of consumer characteristics including market mavenship, innovativeness, and purchase experience by mobile on the mobile fashion shopping. The data for this study was collected from the nationwide consumer panels through online survey. A total of 306 subjects aged from 20 to 39 years old and had purchased fashion goods using mobile devices completed a self-administered questionnaire. A series of exploratory and confirmative factor analysis identified four dimensions of mobile fashion shopping features such as tangibility, ubiquity, security and personalization. A structural equation modeling test was employed to examine the relationship of consumer characteristics, mobile fashion shopping features, and consumer behavior. Market mavenship had a positive influence on the perceived features of mobile fashion shopping. Innovativeness negatively influenced tangibility, ubiquity, and personalization. Each construct of mobile shopping features positively affected satisfaction while security had only a direct negative impact on purchasing intention. Satisfaction had a significantly positive impact on purchase intention. Purchase experience of mobile fashion shopping partially affected the relationship between consumer characteristics and perceived features of mobile fashion shopping. These results provide a practical implication theoretical support for increasing consumer satisfaction with mobile fashion shopping in terms of consumer characteristics.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.9
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• pp.351-360
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• 2022

This study aims to determine the factors that can influence investors in selecting stocks in the Indonesian capital market to establish an optimal portfolio, and find phenomena that occurred during the COVID-19 pandemic so that buying interest / the number of investors increased in the Indonesian capital market. This study collection technique uses primary data obtained from the survey questionnaire and secondary data which is market data, stock price movement data sourced from the Indonesia Stock Exchange, Indonesian Central Securities Depository, and Bank Indonesia, as well as empirical literature on behavior finance, investment decision, and interest in buying stock. The method used in this research is the survey questionnaire analysis with the SEM (statistical approach). The results of the analysis using SEM show that investor behavior influences the stock-buying interest, investor behavior, and the stock-buying interest influences investor decision-making. However, risk management does not influence investor-decision making. This occurs when the investigator's psychological capacity produces more decision information by decreasing all potential biases, allowing the best stock selection model to be selected. When the investigator's psychological capacity creates more decision information by reducing biases, the optimum stock selection model can be chosen.

• Korean Journal of Agricultural Science
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• v.48 no.4
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• pp.797-806
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• 2021

As the number of scaled-up ranches increased and agile responses to market changes became possible, decision-making by Hanwoo cattle farms also began to affect short-term shipments. Considering the changing environment of the Hanwoo supply market and the response speed of producers, it is necessary quickly to grasp the forecast ahead of time and to respond accordingly in an effort to stabilize supply and demand in the Hanwoo market. In this study, short-term forecasting model centered on the supply of Hanwoo was established. The analysis conducted here indicates that the slaughter of Hanwoo males increases by 0.248 as the number of beef cattle raised over 29 months of age in the previous month increases by one, and 0.764 Hanwoo females were slaughtered under average conditions for every Hanwoo male slaughtered. With regard to time, the slaughtering of Hanwoo was higher in January and August, which are months known for holiday food preparation activities for the New Year and Chuseok in Korea, respectively. Simulations indicated that errors were within 10% in all simulations performed through the Hanwoo supply model. Accordingly, it is considered that the estimation results from the supply model devised in this study are reliable and that the model has good structural stability.

• Journal of Distribution Science
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• v.22 no.6
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• pp.57-68
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• 2024

Purpose: Dynamic capabilities are acknowledged as pivotal factors facilitating the generation of competitive advantage and performance for enterprises across diverse sectors, notably within the food processing industry. This study endeavors to explore and examine the direct and indirect impact of dynamic capability factors, encompassing innovation capability, market orientation (customer orientation, supply chain orientation, competitor orientation), and digital orientation on the business performance of Vietnamese food processing enterprises. Research design, data and methodology: Research data was collected from 239 food processing enterprise managers and analyzed using partial least square - structural equation modeling. Results: With the exception of digital orientation, the study found evidence of the role of innovation capability and market orientation (customer orientation, supply chain orientation, competitor orientation) in the overall competitive advantage of Vietnamese food processing enterprises. Furthermore, the study underscores the contributions of innovation capability, market orientation and digital orientation in fostering performance of Vietnamese food processing enterprises. It also identifies the mediating role of competitive advantage in the relationship between dynamic capabilities and performance. Conclusions: Consequently, the study proposes a number of implications for food processing enterprise managers with the aim of establishing and enhancing competitive advantage and business performance in the future.