• The Research Journal of the Costume Culture
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• v.26 no.2
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• pp.172-187
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• 2018

For the past decade, the convenience of sharing information online has improved drastically with the development of smart devices and social media. Such changes have contributed to regarding online word-of-mouth (WOM) as one of the most important consumer information sources. Therefore, the purpose of this study is to examine online WOM effects (acceptance/redelivery intention) with the two-way interaction effects of fashion involvement and the market maven. The empirical study consisted of an offline survey that collected data from 341 respondents and analyzed the data by factor analysis, independent t-test, and two-way ANOVA with SPSS 20.0, producing the following results. First, the market maven effect was found to differ significantly based on the level of fashion involvement, and is also higher when fashion involvement is high. Second, fashion involvement primarily affected online WOM acceptance, while the market maven significantly affected redelivery intention. Moreover, fashion involvement and market maven had relevant two-way interaction with both of the online WOM effects. Third, market maven had measurable effects on WOM redelivery types (objective/subjective) and directions (positive/negative/ neutral), whereas fashion involvement did not have any primary effects on them. However, fashion involvement and market maven had two-way interaction effects on the positive and negative direction of WOM redelivery. Based on these findings, the study suggests the importance of investigating and understanding the complicated online WOM behaviors of consumers, specifically from both managerial and theoretical perspectives.

• Environmental and Resource Economics Review
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• v.11 no.2
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• pp.211-231
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• 2002

This paper summarizes the results of a study that assess how a demand side management (DSM) system addresses key economic and environmental challenges facing in the Korean natural gas sector considering; ${\bullet}$ high discrepancies of seasonal consumption volume and of load factor in unmatured domestic LNG market, ${\bullet}$ unfavorable and volatile international LNG market, imposing with the contestable "take-or-pay" contract terms, ${\bullet}$ low profile of LNG and existence of market barriers against an optimal fuel mix status in the industrial energy sector. A particular focus of this study is to establish an 'extended' DSM system in the unmatured gas market, especially in industry sector, that could play a key role to assure an optimum fuel mix scheme. Under the concept of 'extended' DSM, a system dynamics modeling approach has been introduced to explore the option to maximize economic benefits in terms of the national energy system optimization, entailing different ways of commitments accounting for different DSM measures and time delay scenarios. The study concludes that policy options exist that can reduce inefficiencies in gas industry and end-use system at no net costs to national economy. The most scenarios find that, by the year 2015, it is possible to develop a substantial potential of increased industrial gas end-uses under more reliable and stable load patterns. Assessment of sensitivity analysis suggests that time delay factor, in formulating DSM scenarios, plays a key role to overcome various market barriers in domestic LNG market and provides a strong justification for the policy portfolios 'just in time' (time accurateness), which eventually contribute to establish an optimum fuel mix strategy. The study indicates also the needs of advanced studies based on SD approach to articulate uncertainty in unmatured energy market analysis, including gas.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.252-261
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• 2017

This paper is aimed for providing Business Intelligence System which is in order to analysis and produce the useful industrial information such as the market penetrance and the status of competition among the enterprises in the same or similar industrial field. These industrial information were mainly analysed by the annual sales of the enterprises in the entire industry and the industrial market based on KSIC was segmented. The results obtained in the study were applied as a module in the KMAPS(KISTI Market Analysis and Prediction System) which is the demand-based Business Intelligence System. And they were verified reliability by comparing to the qualitative analyses of the specialists. It is considered that the market penetrance and competition information can be valuably used for the enterprises makes a decision to enter the new market or develop new products.

• The monthly packaging world
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• s.148
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• pp.60-64
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• 2005

• The monthly packaging world
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• s.113
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• pp.60-68
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• 2002

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.539-544
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• 2006

This study has been attempted to find that factors for successful six-sigma implementation influence non-financial performance & financial performance in korean finance industry. In addition, goal of this study is to find out core factor in korean finance industry. To achieve the aim of this study, a document study and interview and an empirical analysis were performed. The collected questionnaires for the empirical analysis were processed statistically through data cording. Cronbach'a was conducted to get the construct reliability. To identify which factors for successful six-sigma implementation influence performances of six-sigma implementation, factor analysis was conducted to get the construct validity. After factor analysis, multiple regressions were utilized to identify the core factors (or factors for successful six-sigma implementation). The result of the study that has been derived through this process is summarized below. Firstly, by analyzing the effect factors for successful six-sigma implementation has on non-financial performance of finance industry, it shows that Process-integration & standardization variable has influenced. Secondly, by analyzing the effect factors for successful six-sigma implementation has on financial performance of finance industry, it shows that 'Process-integration & standardization' variables and 'Customer & Market mind' variables have influenced. The results of this study show that 'Process-integration & standardization' and 'Customer & Market mind' are core factors to influence non-financial performance & financial performance in korean finance industry

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.4
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• pp.69-80
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• 2021

Purpose - This study investigated the development process of the Chinese distribution industry and analyzed the current status of China's offline and online distribution industries under the development process of the Chinese distribution industry. In addition, the current status of offline distributors in China and representative companies were analyzed as case studies. Research design, data, and methodology - This study analyzed the overall environment of the Chinese distribution industry by using literature data. Then, this study conducted a case analysis using RT Mart and Jingdong, major companies in the distribution industry. Result -The main research results of this study show that the Chinese distribution market has already matured, and retailers are fiercely competing to secure sales and operating profits through various methods such as finding new management methods, improving awareness and customer loyalty by expanding the number of stores. Conclusion -Recently, the characteristic of China's distribution industry is that the boundaries of distribution are breaking down. Chinese retailers are taking strategies to expand the scope of services by erasing the boundaries of distribution. In other words, distribution companies are promoting a borderless distribution strategy in which consumers purchase products online and offline without restrictions on time and space. In addition, small stores in residential areas are on the rise compared to large-scale stores in the city center. The existing distribution industry operates various types of distribution stores to prepare for the post-COVID-19 crisis.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2004.07a
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• pp.1-17
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• 2004

• Food Science and Industry
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• v.46 no.4
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• pp.12-18
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• 2013

• International Journal of Control, Automation, and Systems
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• v.6 no.5
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• pp.627-638
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• 2008

With the shift of the electric power industry from a regulated monopoly structure to a competitive market environment, the focus of the transmission expansion planning has been moving from reliability-driven transmission expansion to market-based transmission expansion. In market-based transmission expansion, however, a growing demand for electricity, an increasing number of transmission bottlenecks, and the falling levels of transmission investment have created the need for an incentive to motivate investors. The expectation of profit serves as a motivational factor for market participants to invest in transmission expansion in a competitive market. To promote investment in transmission expansion, there is an increasing need for a systematic method to examine transmission expansion for investment incentives from multiple perspectives. In this paper, the transmission expansion problem in a competitive market environment is formulated from ISO and investors' perspectives. The proposed method uses parametric analysis to analyze benefits for investors to identify the most profitable location and amount for transmission addition. Numerical results are presented to demonstrate the effectiveness of the proposed method.