• Journal of Digital Convergence
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• v.12 no.11
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• pp.209-214
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• 2014

Despite the recession of the global market, the domestic electronic appliance companies dominated TV market in North America. They took both the premium and mid-priced product market and achieved both profitability and volume due to strong product competitiveness and brand power. Despite doing well in the North American market, the domestic TV manufacturers are worried about product development, marketing and sales strategies to remain the continuous competitiveness in the TV market. This study proposes the a sales prediction model of electronic appliances using sales data of S company from the North American market. We develop the sales prediction models based on multiple regression analysis and artificial neural network and compare two models. Especially, this study analyzes the relevance between the TV sales and TV main features in order to improve the price competitiveness or improve the value of TV products.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.711-719
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• 2014

Along with the advent of ubiquitous computing environment, it is becoming a part of our common life style that the demands for enjoying the wireless internet using intelligent portable device such as smart phone and iPad, are increasing anytime or anyplace without any restriction of time and place. The recommending service becomes a very important technology which can find exact information to present users, then is easy for customers to reduce their searching effort to find out the items with high purchasability in e-commerce. Traditional mining association rule ignores the difference among the transactions. In order to do that, it is considered the importance of type of merchandise or service and then, we suggest a new recommending service using mining sequential pattern based on weight to reflect frequently changing trends of purchase pattern as time goes by and as often as customers need different merchandises on e-commerce being extremely diverse. To verify improved better performance of proposing system than the previous systems, we carry out the experiments in the same dataset collected in a cosmetic internet shopping mall.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.45-59
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• 2020

This study is to examine the effects of personal media influencer's source credibility (attractiveness, trustworthiness, expertise) and content authenticity on brand authenticity and product purchase intention. An online survey was conducted, on which the respondents were asked to watch the embedded contents of the influencer provided on YouTube before answering the questionnaire. The results of the regression analysis showed that both influencer expertise and content authenticity had a positive effect on brand authenticity. Moreover, brand authenticity had a positive effect on purchase intention and had a mediating effect between purchase intention and content authenticity. The findings are meaningful in that they not only analyze empirical advertising effects of personal media and media contents but also expand the scope of research on authenticity. This study also provides strategic implications for personal media influencers and companies which want to collaborate with influencers.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.53-58
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• 2020

Various imperative statements that can be represented in the way in which the product or service is used describe how or how to achieve the goals, or induce or prohibit a specific action. This study focuses on The Effects of age and type of imperative sentence (directive vs. declarative) on behavioral intention and recall. As a result of the experiment, older people who have shorter lives remaining access information in a more emotional way, so they have been rejected by directive (vs. declarative) statements that felt more negative feelings, resulting in lowered behavioral intention. Conversely, the negative feeling caused by directive statements increased salience of directive (vs. declarative) sentence for older people more, which in turn increased memory for older people. Process analysis showed that emotions when exposed to statements mediated these results. The results of this study show that in order to improve consumers' behavioral response and/or the performance of information processing, it is necessary to deeply consider their age and how to construct the statement.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.269-290
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• 2007

RSS is a core component of Web 2.0 which is expected to lead the most important innovation in the new IT environment. In that sense, it is actively utilized to distribute Web contents in various areas such as news, blog, multimedia, medical information, and conference and journal information. Also, it is expected to be a major effective marketing tool in electronic commerce domain. In the paper, we analyzed the problems of current utilization of RSS in domestic shopping malls, and suggest requirements for the effective use of RSS in electronic commerce. Furthermore, we proposed various issues and answers on the implementation of the requirements, and designed the intelligent RSS framework for electronic commerce based on the issues. Syntactic and semantic interoperability between the RSS service provider and the user is one of the most important issues in the framework. We suggested how to implement the interoperability based on Semantic Web technologies.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.155-174
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• 2015

This study attempts to investigate effects of service conveniences on perceived value and customer voluntary behavioral intention in family restaurants. We categorized service conveniences in five dimensions (i.e, decision, access, transaction, benefit, and post-benefit). We considered perceived value as having three parts, namely functional, emotional, and social. We also specified three segments of customer voluntary behavioral intention as participation, cooperation, and loyalty. The results showed that service conveniences such as transaction convenience, post-benefit convenience, and benefit convenience have an influence on functional value as a perceived value, but no effect from decision convenience and acceptability[this is a new variable to me]. In addition, access and benefit conveniences affect social value. When it comes to the effects of perceived value on customer voluntary behavioral intention, social value was found to affect participation and loyalty, while functional value appeared to influence cooperation.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.599-606
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• 2017

'Video Commerce' has grown significantly, and is in the era of so-called V-commerce 2.0. Based on this background, this study focused on the link and the possibility of creating synergy between V-commerce 2.0 content and MCN, and examined the linkage strategy considering its characteristics. In conclusion, first, V-Commerce has evolved into the age of 2.0, centered on the characteristics of content that are oriented towards fun and sympathy, beyond the 1.0 era. Second, V-commerce 2.0 content has the characteristic of replacing the sharing and recommendation based on the nature of SNS networks as promotion and purchase enhancement. Therefore, competitiveness as 'content' is relatively important before 'commerce'. Third, V-commerce 2.0 and MCN industry have a strong connection with each other in terms of securing core competitiveness and creating a new profit model. In order to create the synergy between V-Commerce 2.0 and MCN, we proposed the use of big data to reinforce V-Commerce 2.0 customized content competitiveness, building of storytelling marketing and branding, and enhancement of live performance and interactive communication.

• Journal of Service Research and Studies
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• v.9 no.1
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• pp.33-49
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• 2019

In this study, we achieve an increase in sales of dairy companies through innovation in the distribution process of developing core competencies through product differentiation in the domestic dairy companies, creating new consumption pioneered new markets. First of all, improving the quality of milk in the premium milk market can be able to expect the activation of consumption and through promotion activities by the Korean wave can lead to create new consumption pioneered the market diversification at the same time export varieties of white milk and jersey species take advantage of a variety of milk in addition to drink beauty and cooking areas while lowering manufacturing costs through the introduction of the cheese will increase the revenue of the dairy companies and dairy consumption expected to activate at the same time. It is necessary to change cultivars in order to think about nutritional value and flavor, and further environment, and high quality premium milk will become a new trend in the future. Furthermore, promoting the benefits of milk consumption would contribute in raising the milk demand that is negatively correlated with increasing age.

• Korean Business Review
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• v.15
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• pp.79-97
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• 2002

In this study, an analytical CRM for customer segmentation is exercised by integrating and analyzing the customer profile data and the access data to a particular web site. We believe that effective customer segmentation will be possible with a basis of the understanding of customer characteristics as well as behavior on the web. One of the critical tasks in the web data-mining is concerned with both 'how to collect the data from the web in an efficient manner?' and 'how to integrate the data(mostly in a variety of types) effectively for the analysis?' This study proposes a panel approach as an efficient data collection method in the web. For the customer data analysis, OLAF and a tree-structured algorithm are applied in this study. The results of the analysis with both techniques are compared, confirming the previous work which the two techniques are inter-complementary.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.203-212
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• 2011

This study aims to suggest the ways of mutually beneficial cooperation between large companies and small companies in the field of telecommunication services. To achieve this goal, it attempts to introduce mutually beneficial cooperation plans based on horizontal relationships rather than vertical relationships among large companies and small companies. Research contents will suggest the similarities and differences of individual telecommunication companies by analyzing mutually beneficial cooperation plans of large companies and small companies based on domestic three telecommunication companies. It examines the perceptions of people who are engaged in large companies and small companies in order to enhance the recognition on the mutual cooperation of large companies and small and medium companies. Based on research results, it attempts the activation methods of mutual cooperation of large and small companies.