• Journal of Distribution Science
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• v.4 no.1
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• pp.103-120
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• 2006

This study is composed of analyses about whether intensifying the attribute level of alternatives presented to consumers makes the effect of intensifying attributes and there is any significant difference among effects of the intensified attributes. For this, the most favorite alternative is extracted from each group of computers and jeans through conjoint analysis, which is used as a standard alternative during the process of experimentation. In conclusion, this research suggests that in terms of business, by intensifying the latter attribute of products rather than the early attribute, an enterprise acquire distinct and competitive superiority over similar competing products (esp. functional products), and theoretically, by expanding and analyzing decision models it can predict consumers' behaviors more correctly.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.125-138
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• 2022

This study has examined the effect of cognitive resource on purchase intention of scarcity products according to the level of need for cognitive closure. In order to find out the effect on purchase intention for products that are presented a shopping environment is supposed, where various timing of consumer promotion reward exist, and where consumers can easily access and experience a lot of cognitive changes. the effect of how these two influences are adjusted according to the level of need for cognitive closure (NFCC). The study divide into two experiments. Research analyzes the behavioral differences of consumers for scarcity message products according to cognitive resource level with a moderating effect of NFCC. As a result of the study, Research according to the level of cognitive resource, when applied scarcity message product showed a negative effect of the cognitive resource (self-regulating resource) depletion level on the purchase intention of high-involvement product with scarcity message (Hypothesis 1). Consumers' purchase intention for limited products was higher at the non-depleted level than at the cognitive resource depletion level, and this difference was found statistically significant. Next, as a result of examining the difference according to the level of NFCC, the difference in the influence of cognitive resource level on purchase intention of scarcity products was found to be statistically significant where the NFCC was low (Hypothesis 2).

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.1-7
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• 2017

This study examined how the memory effect and the brand attitude effect differ according to the interaction (high / low) and the involvement (high / low) of digital signage. The two-way MANOVA analysis using SPSS 18 was used for the empirical analysis. The results of this study are as follows: First, GRM is recalled if the level of interactivity and inffence of digital signage is low, but if both conditions are high, ARM recalls. Second, if the interaction of digital signage is low and the level of engagement is high, a lot of memory information is formed that forms the overall attitude of the product. In addition, even though the interaction level is high and the engagement is low, the attitude cognitive response through the overall evaluation is formed rather than the attribute information. Third, brand attitude was positive when interactivity level was high and engagement level was high.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.79-88
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• 2015

The safety culture of an organization is the product of individual and group values, attitudes, perceptions, competencies, and patterns of behavior that determine the commitment, the style and proficiency, and an organization's health and safety management. A good safety culture includes effective, appropriate safety management systems; strong safety leadership & commitment from management; participation and involvement of the workforce; and organizational learning and continuous improvement. This paper will introduce the safety culture inspection standards and process in Korea Railway. The main purpose is to get a better understanding of safety culture and to develop measuring tool. First of all we developed the composition factor of safety culture and the question set. And we prepared the base of computerization of safety culture measurement by developing of evaluation standards and weighted value.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.43-50
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• 2021

For the implementation of innovative products or services companies use different innovation strategies, in particular, outsourcing is quite widespread, given the high level of specialization and professionalism of companies that provide such services. The aim of this article was to evaluate the link between outsourcing of innovative activities and indicators of companies' efficiency. The methodology of the research includes the methods of correlation analysis and regression analysis to reveal the correlation between the use of outsourcing of innovative products and services and the turnover of the EU enterprises. The results show a high level of innovative activity of EU enterprises (50.3% innovatively active). Innovative business processes are the most widespread form of innovation activity (41% of enterprises implement business processes, and the indicator is higher than 41% in the most developed EU countries). The turnover of enterprises with new or substantially improved products was found to grow by 10.92% for the period 2016-2018. The correlation analysis shows weak direct links between the indicator of turnover growth and the number of enterprises that have independently implemented innovations, or have implemented innovations jointly with third-party companies, or using outsourcing services. The highest level of direct connection was found between the growth of turnover of enterprises that launched a new product for the market and the growth of the number of enterprises that implemented innovations with the involvement of organizations (correlation 0.273). Based on the regression analysis it was found that with a 1% change in the growth rate of the number of innovation-active enterprises, the growth rate of turnover from new or improved products increased by 5.67%. At the same time, with a 1% change in the growth rate of the number of enterprises that implement innovation through outsourcing, the growth rate of turnover from new or improved products will increase by 7.15%.

• Journal of Distribution Science
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• v.18 no.2
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• pp.99-108
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• 2020

Purpose: This paper investigated the relationship between market competition and firm valuation error. Furthermore, Additional analyses were made according to the quality of financial reports and the listed market. Through the process we confirm to the impact of competition on the capital market. The purpose of this study is to analyze the impact of competition on valuation errors. The preceding studies did not provide a consistent results of the effects of competing functions on the capital market. One view is that the competition could mitigate the information asymmetry, and the other is that monopolistic lessens the manager's involvement in financial reporting. This study is intended to expand the prior study by analyzing the impact of competition on the capital market and on the valuation of investors. Research design, data, and methodology: The analysis was conducted on 12,031 samples over 11 years from 2008 to 2018 using data from market in Korea. Here the valuation error was measured by the research methodology of Rhodes-Kropf, Robinson and Viswanathan (2005), and competition measured by Herfindahl-Hirschman Index multiplied by (-1), and Concentration Ratio by (-1). Results: We confirm that the positive relationship between competition and the valuation error. In addition, we also found that the positive relation between competition and valuation error was in cases of low discretionary accruals and the KOSDAQ market. This means that the net function of competition does not mitigate valuation errors. Conclusions. This study has the following contributions when compared to prior research. First, the relevance between the level of competition and the valuation of the entity was confirmed. The study by Haw, Hu and Lee (2015) suggested that monopolistic industry of analysts' forecast is more accurate due to lower the variability in earnings. This study magnified it to confirm that monopolistic lessen information uncertainty in valuation. Second, the study on valuation errors was expanded. While the study on the effect of valuation errors on the capital market is generally relatively active, it is different that competition degree has analyzed the effect on valuation errors amid the lack of research on the effect on valuation errors.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.67-86
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• 2020

Recommender Systems have been huge influence users and business more and more. Recently the importance of E-commerce has been reached rapid growth greatly in world-wide COVID-19 pandemic. Recommender system is the center of E-commerce lively. Top ranked E-commerce managers mentioned that recommender systems have a major influence on customer's purchase such as about 50% of Netflix, Amazon sales from their recommender systems. Most algorithms have been focused on improving accuracy of recommender system regardless of novelty, diversity, serendipity etc. Recommender systems with only high accuracy cannot satisfy business long-term profit because of generating sales polarization. In addition, customers do not experience enjoyment of shopping from only focusing accuracy recommender system because customer's preference is changed constantly. Therefore, recommender systems with various values need to be developed for user's high satisfaction. Reranking is the most useful methodology to realize diversity of recommender system. In this paper, diversity of recommender system is represented through constructing high similarity with users who have different preference using each user's purchased item's category algorithm. It is distinguished from past research approach which is changing the algorithm of recommender system without user's diversity preference level. We tried to discover user's diversity preference level and observed the results how the effect was different according to user's diversity preference level. In addition, graph-based recommender system was used to show diversity through user's network, not collaborative filtering. In this paper, Amazon Grocery and Gourmet Food data was used because the low-involvement product, such as habitual product, foods, low-priced goods etc., had high probability to show customer's diversity. First, a bipartite graph with users and items simultaneously is constructed to make graph-based recommender system. However, each users and items unipartite graph also need to be established to show diversity of recommender system. The weight of each unipartite graph has played crucial role changing Jaccard Distance of item's category. We can observe two important results from the user's unipartite network. First, the user's diversity preference level is observed from the network and second, dissimilar users can be discovered in the user's network. Through the research process, diversity of recommender system is presented highly with small accuracy loss and optimalization for higher accuracy is possible controlling diversity ratio. This paper has three important theoretical points. First, this research expands recommender system research for user's satisfaction with various values. Second, the graph-based recommender system is developed newly. Third, the evaluation indicator of diversity is made for diversity. In addition, recommender systems are useful for corporate profit practically and this paper has contribution on business closely. Above all, business long-term profit can be improved using recommender system with diversity and the recommender system can provide right service according to user's diversity level. Lastly, the corporate selling low-involvement products have great effect based on the results.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.61-76
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• 2020

As the media environment changes rapidly, the size of the online advertising market is growing rapidly. However, consumer's trustfulness in online advertising is much lower than that of old media, and there is also a phenomenon of advertising avoidance. Thus, in this study, advertising skepticism, advertising appeals, involvement, and FCB Grid theory were used to provide Youtube and advertisers with implications for advertising strategies. It was intended to provide a way to lower consumer advertising avoidance. As a result of Research 1, consumers with high advertising avoidance showed low advertising attitudes, brand attitudes, and attitudes toward products. In addition, there was no difference in gender, and when the frequency of online video viewing decreased and the age increased, advertising avoidance increased. Research 2 shows that consumers with high levels of advertising skepticism showed a high level of advertising attitude when the level of involvement was low and transformational appeal was high. In the FCB Grid model, consumers with high levels of advertising skepticism are found to be suitable for transformational appeal advertising. These results mean that Youtube and advertisers should think important about advertising skepticism, which is the cause of advertising avoidance, and that consumers with high levels of advertising skepticism should be presented with advertisements suitable for each type of product in the online advertising market.

• Asia Marketing Journal
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• v.11 no.1
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• pp.73-92
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• 2009

Consumers influence other consumers' brand choice behavior by delivering a variety of objective or subjective information on a particular product, which is called WOM (Word-Of-Mouth) activities. For WOM activities, WOM senders should choose messages to deliver to other consumers. We classify the contents of the messages a consumer chooses for WOM delivery into two categories: Subjective (positive or negative) evaluation and objective information on products. In our study, we regard WOM senders' activities as a choice behavior and introduce a choice model to study the relationship between the choice of different WOM information (WOM with positive or negative subjective evaluation and WOM with objective information) and its influencing factors (information sources and consumer characteristics) by developing two bivariate Probit models. In order to consider the mediating effects of WOM senders' product involvement, product attitude, and their characteristics (gender and age), we develop three second-level models for the propagation of positive evaluations, of negative evaluations, and of objective information on products in an hierarchical Bayesian modeling framework. Our empirical results show that WOM senders' information choice behavior differs according to the types of information sources. The effects of information sources on WOM activities differ according to the types of WOM messages (subjective evaluation (positive or negative) and objective information). Therefore, our study concludes that WOM activities can be partially managed with effective communication plans influencing on consumers' WOM message choice behavior. The empirical results provide some guidelines for consumers' propagation of information on products companies want.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.178-185
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• 2021

The emergence of social networks has led to the flourishing of a new golden era of branding, which is a challenge for companies due to the need for creative positioning of companies with an emphasis on building trust and loyalty to the brand. Consumers are becoming more demanding and due to a wide range of products in different markets, make demands that are more stringent on companies. The goal of this article was to study the main trends of branding and advertising on social networks to develop a new approach to brand promotion. Methodology. The quantitative and qualitative research design was used to determine the main trends in branding and advertising on social networks. The methodology included the following methods: 1) analysis of the relationship between brand value and brand content strategy, 2) content analysis of the content of companies in social networks on the example of 10 world-famous brands with the highest value. The results allowed forming the criteria of effective content and communication: simplicity of content and simplicity of communication, lack of direct advertising of products, emphasis on global socio-economic problems and social orientation, unobtrusive communication, content creativity, indirect information about the product or work, the history of the company's development through various tools. The main content strategies of brands are defined: storytelling strategy; strategy of informing about the history of the company's development; entertainment and information strategy; strategy of joint interaction with the audience through the involvement of wellknown influencers or users of products. The theoretical and practical value of the results is confirmed by the conceptualization of the main content strategies of world-famous brands, which are pioneers in new ways to build relationships with users through social networks. The research proposes to use a customer-oriented approach to brand promotion. This means studying consumer behavior and predicting possible changes in behavior, which determines the level of interaction with the brand, the content strategy of the brand, and its effectiveness.