• Journal of Digital Contents Society
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• v.19 no.4
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• pp.731-737
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• 2018

The recommendation system is actively researched for the purpose of suggesting information that users may be interested in in many fields such as contents, online commerce, social network, advertisement system, and the like. However, there are many recommendation systems that propose based on past preference data, and it is difficult to provide users with little or no data in the past. Therefore, interest in higher-order data analysis is increasing and Matrix Factorization is attracting attention. In this paper, we study and propose a comparison and replay of the Factorization Machines Leaning(FM) model which is attracting attention in the recommendation system and High-Order Factorization Machines Learning(HOFM) which is a high - dimensional data analysis.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.61-79
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• 2016

Recently, digital broadcasting service is growing as a TV-based commerce market spread. However, in previous studies, many researchers studied TV home shopping and T-Commerce separately each other, and there is little research on the attribute to increase the satisfaction of consumers. In this study, we analyzed the attribute to increase satisfaction of consumer using TV-based commerce, and we propose to the direction to move forward. We selected characteristics of TV home shopping and T-Commerce through previous studies, and analyzed satisfaction of customers with quality attributes of TV-based commerce using KANO model and ASC(Average Satisfaction Coefficient).

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.71-86
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• 2013

This research explores the question how interactions between customer and firm affect firm growth. To test suggested hypotheses, this study collects data on social commerce industry in Korea during the period from the beginning of social commerce industry in Korea, May 2010, to March 2012, and investigates the effect of social media on the growth of social commerce firms. We suggest two hypotheses in this study. First, as web traffic inflow through social media into a focal social commerce increases, the growth rate of the focal social commerce increases. Second, the more diverse social media channel through which web traffic inflows into a focal social commerce, the weaker the positive effect of web traffic inflow on the growth rate of the focal social commerce. Analysis of data shows that inflow through social media is positively related to the growth of social commerce. In addition, our analysis shows that inflow channel diversity weakens the positive relationship between web traffic inflow through social media and growth rate of social commerce firms. These results suggest that firms need to concentrate on few social media in order to attract customers. The study contributes to understanding how interaction between firms and customers influences the growth of the firm.

• Knowledge Management Research
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• v.14 no.4
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• pp.87-98
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• 2013

Along with the recent development of Social Network Service (SNS), such as Facebook and Twitter, social commerce market is expanding rapidly. As much, understanding consumers' purchase intention in social commerce becomes important. This study attempted to investigate the factors of consumers' purchase intention, and the effects of these determinants(price discount, perceived risk and product review) on consumer's purchasing intension in social commerce networks. Also, the interaction effects between these factors on consumer's purchasing intension were studied. The results showed that the effect of perceived risk on consumer's purchase intention found to be significantly negative. The interaction effect between price discount and perceived risk, and the interaction effect between price discount and review were meaningful on consumers' purchase intention. It indicates that the important factor for consumers to purchase products in social commerce is not just price discount but perceived risk, and that review which consumers think is manipulated has negative effect on purchase intention.

• Journal of Korea Multimedia Society
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• v.18 no.6
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• pp.780-791
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• 2015

Recently, it is being held festival according to regional and seasonally cultural feature in nationwide. Especially, local festivals are being provided festival information services a variety of forms for tourists depending on development of information device. However, systems to provide notification information of local festivals are not persistent but mostly short term service. In this paper, we propose a mobile commerce and information notification system through festival information alerts and festival surrounding information using local based on service. In addition, we implement a festival information notification system that applies to beacon based on bluetooth in order to inform them on diverse festival. Finally, we take into account in terms of design of system using object-oriented design modeling to improve reusability of proposed system.

• Journal of Information Technology Services
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• v.12 no.3
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• pp.23-37
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• 2013

Social commerce is a subset of e-commerce that involves using social media, and user contributions to assist in the online buying and selling of products and services. Given the rapid growth of social commerce sites such as Groupon, Ticketmonster, and Coupang, it has become critical to understand customer purchasing decision-making processes in the social commerce environment. This study developed a theoretical model to examine the role of social commerce site's stickiness in customers' repurchasing decision processes. This study identifies price attribute, variety of selection, shopping enjoyment, and anger as the key factors of social commerce site's stickiness. Data collected from 164 users who had more purchasing experiences with social commerce for more than 7 months were empirically tested against the research model. The analysis results indicate that social commerce site's stickiness plays an important role in enhancing customer's purchasing behavior. Moreover, price attribute and shopping enjoyment significantly influence social commerce site's stickiness, whereas anger does not significantly affect consumer purchasing decision-making processes. However, contrary to our expectation, variety of selection negatively influences social commerce site's stickiness. The theoretical and practical implications of the findings are described.

• Knowledge Management Research
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• v.15 no.2
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• pp.165-182
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• 2014

Social commerce is regarded as a kind of e-commerce that utilizes social media. Considering increasing complaints around social commerce market, it is important to see customers' satisfaction level and intentions to repurchase. In this study, we examine antecedents that affect customers' satisfaction and relationship between satisfaction and intention to repurchase in social commerce market. We also use social media characteristics as moderators between antecedents and customers' satisfaction. The main results are as follows. First, except site design, most of the intrinsic factors of service quality, such as information, transaction, communication and perceived security had positive effects on customers' satisfaction. Second, all the extrinsic factors of service quality, such as discount rate, constraints, and discrimination had significant impacts on customers' satisfaction. Third, the social media characteristics could not moderate the relationship between service qualities and customers' satisfaction. Fourth, customers' satisfaction had positive effect on the intention to spread through social media. Fifth, customers' satisfaction had positive effect on the intention to repurchase. Social commerce companies need to set up strategies considering the antecedents of customers' satisfaction using these research results. They also need to secure customers that have sustainable purchasing intentions.

• The Journal of Information Systems
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• v.28 no.4
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• pp.251-270
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• 2019

Purpose Unlike advertising through the traditional media targeting unspecified number of people, the base of mobile environment using smartphone has expanded so that many companies can classify prospective customers according to their purpose, thereby enabling efficient targeted marketing with low cost. Design/methodology/approach This study has investigated how can marketing strategy be influenced by the price promotion type (immediate discount/delayed discount) and message framing (positive/negative) according to time pressure (low/high). Hypotheses are set through the consideration of prospect theory, endowment effect, framing effect, regulatory-focus theory, and time-pressure theory. Findings The results and interpretation of this study are as follows. First, it was found that the influence of the delayed discount on the purchase intention was larger than the immediate discount. Second, negative/loss frame messages have more influence on purchase intention than positive/profit frame messages. Third, when the price promotion type is delayed discount, the effect of the promotion message on the purchase intention when it presented by negative/loss frame is greater than the other cases. The implication of this study is that it can be used as a basic data for establishing a strategy to maximize the effectiveness of promotions effectively considering potential buyers of mobile commerce environment.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.63-74
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• 2012

The purpose of this study was to find factors affecting satisfaction and intention to re-purchase fashion goods through social commerce. A questionnaire method was applied for 123 women aged from twenties to thirties, with buying experience in fashion goods through social commerce. Independent variables were service quality, fashion shopping orientation, and demographics. Factor analyses and multiple regression methods were used to analyze data. Factor analyses resulted in two factors for service quality and resulted in four factors for fashion shopping orientation. The results of multiple regression analyses showed that convenience & benefits and site layout factors of the service quality had significant impacts on satisfaction in fashion social commerce. Those two service quality factors, demographics like job, and satisfaction were shown significantly important to predict intention to re-purchase fashion goods on social commerce service. Intention to re-purchase was best explained in the model with satisfaction as an independent variable. Meanwhile, shopping orientation factors were not important in any model.