• Information Systems Review
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• v.8 no.3
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• pp.105-123
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• 2006

Traditional commerce has transformed into electronic commerce, then, mobile commerce again plays a critical role in diversifying different types of business. Although the fast changing of mobile commerce as an emerging channel of communication in business, not many studies address why consumers stay on mobile commerce and how they are influenced and influence other consumers. In this study, we investigate the impact of extrinsic and intrinsic motivation on customers' satisfaction and its results. We adopt the Technology Acceptance Model(TAM), value-satisfaction theories, and other motivation studies in developing theoretical framework. We then synthesize these theoretical approaches to conceptualize mobile customers' behavior. Specifically, we postulate cognitive beliefs that influence customers' satisfaction with mobile commerce, and, in turn, significantly contribute to the spread of positive word-of-mouth. The current research model and its results could provide a rigorous basis for understanding customers' behavior in wireless contexts.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.173-187
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• 2017

This study conducts empirical tests on the effects of system characteristics and consumer characteristics on the acceptance of mobile commerce based on extended Technology Acceptance Model. The result from the survey of smartphone users in Seoul and Gyunggi shows that perceived usefulness, ease of use, benefits, and quality of information are positively associated with the acceptance of mobile commerce, and perceived risk is negatively associated with the acceptance of mobile commerce. Furthermore, there exists a difference in the effect of system characteristics on the acceptance of mobile commerce based on divided personal characteristics groups. The study contributes to the industries in that firms can create new applications and build strategies based on the results. Furthermore, the results can be used to find factors that determine the acceptance and use of newly introduced technology base products.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.265-275
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• 2012

This study is based on the results from the previous one. It proved that reputation, price and ease of use, entertainment are the major attributes of social commerce. Research model and hypotheses by using the trust and flow as mediator, loyalty is the dependent variable and the items as moderator. The results were as follows: First, reputation and price have positive effects on trust. Second, all attributes of social commerce have positive effect on flow, except for the ease of use. Third, the trust has positive effect on flow. Fourth, the trust and flow has positive effect on loyalty. The last, the attributes of social commerce have significant difference in trust and flow according to different products. The results of this study presented the strategic implications for operators at social commerce area.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.3
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• pp.39-50
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• 2019

Social commerce is a term derived from the fusion of social media and e-commerce. This study aims to classify social commerce benefits as social benefits, confidentiality benefits, economic benefits, and customization benefits based on previous research claims. We also examine the effect of social commerce relationship benefits on trust and flow, and the effect of trust and flow on customer loyalty. Also, we examine how the relationship between trust and customer loyalty, and commitment and customer loyalty varies with self determination. The following are main results of this study. First, social benefits, confidentiality benefits, economic benefits, and customization benefits have significant effects on trust and flow. Second, social commerce trust and flow have a positive effect on customer loyalty. Third, the relationship of social commerce trust, flow, customer loyalty is differ depending on self determination. This study suggests the necessity of differential approach according to self-determination.

• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.638-650
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• 2021

This study collected data from 301 men and women in their teens and 50s living in Seoul and Gyeonggi Province to analyze the impact of gender, age, and experience in purchasing cosmetics through live commerce on purchasing satisfaction and continuous purchase intention. As a result, the purchasing experience through live commerce was classified as 'practical value', 'entertainment value' and 'trusted value', and purchase satisfaction and continuing purchase intention were presented in a single dimension. Depending on gender and age, the experience of purchasing cosmetics through live commerce has had a positive impact on purchasing satisfaction and continuous purchase intention. Depending on gender and age, purchase satisfaction affects continuous purchase intention. The results of this study are expected to be the basis for establishing marketing strategies that utilize live commerce by gender and age in the cosmetics industry.

• Informatization Policy
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• v.30 no.2
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• pp.68-85
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• 2023

In this study, we collected data from live commerce streaming. Streamimg data were then categorized based on the degree of chatting activation, with the distribution of text responses generated by consumers analyzed. From a total of 2,282 streaming data on NAVER Shopping Live -which has the largest share in the domestic live commerce market- we selected 200 streaming data with the most active viewer responses and finally chose the streams that had steep increase or decrease in viewer responses. We synthesized variables from the existing literature on live commerce viewing intentions and participation motivations to create a table of variables for the purpose of the study. Then we applied them with events in the broadcast. Through this study, we identified which components of the broadcast stimulate the variables of consumer response found in previous studies, moreover, we empirically identified the motivations of consumers to participate in live commerce through data.

• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.59-68
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• 2024

China's huge population and industrial diversification have driven increased demand for IoT, and in a social environment where IoT technology is changing all aspects of personal and family life, including smart shopping, this study was conducted in Changchun, China. The study aimed to find ways to meet the Fashion needs of female college students living in the country and promote the development of the fashion product industry by improving the service quality of Chinese fashion product live commerce. The analysis results are as follows. First, the service quality characteristics of Chinese fashion product live commerce had a positive effect on customer satisfaction. Second, the service quality characteristics of Chinese fashion product live commerce had a positive effect on reuse intention. Third, customer satisfaction had a positive effect on reuse intention. Based on these results, it can be concluded that improving the service quality of live commerce can directly promote product sales and create direct economic benefits. In addition, based on the results of the study, which show that the service quality of fashion product live commerce affects customer satisfaction and reuse intention, it is judged that it will provide useful information in establishing marketing strategies for live commerce platforms by region and target.

• Information Systems Review
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• v.25 no.1
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• pp.213-231
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• 2023

With the rapid development of live streaming commerce, online host as an information source plays a critical role in affecting live streaming performance. However, the impact of different product types on the relationship between online hosts and live streaming has been less studied. Based on the elaboration likelihood model (ELM) and information source theory, this study aims to empirically investigate what factors influence the sales of live streaming commerce and how product type moderates the relationship between them. The analysis of 11,422 live streaming commerce data collected for four months from October 10, 2021 to February 10, 2022 shows that, among the factors related to source credibility and attractiveness, multi-channel networks (MCN) and the number of followers positively affect the sales volume of live streaming commerce, whereas the reputation score harms the sales. Moreover, the moderating effect of the product type (i.e., ratio of involvement products) on the relationships is confirmed. The findings enrich the literature on live streaming commerce performance. The limitations and future research directions are also discussed.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.59-73
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• 2022

Untact marketing is being activated due to COVID-19. As a result, live commerce, an untact seller, is also active in the e-commerce market. Therefore, in this study, we tried to find out what factors influence consumers when they purchase through live commerce. In particular, since consumers' trust and flow in live commerce platforms and products is important, their mediating effects were analyzed. The research model was established by deriving common variables among the characteristics of live commerce based on previous studies. An online survey was conducted for empirical analysis. 200 users who made at least one purchase in live commerce were analyzed. The study results are as follows. Among the characteristics of live commerce, entertainment, economics, professionality were found to have a positive (+) effect on purchase intention. On the other hand, ease of use did not significantly affect purchase intention. The influence was shown in the order of entertainment, professionality and economics. The mediating effect of trust was found to play a mediating role in that entertainment, economics, and professionality affect purchase intention. On the other hand, a significant mediating effect was not tested between ease of use and purchase intention. As for the mediating effect of flow, it was found that flow plays a mediating role in that entertainment and economics affect purchase intention. On the other hand, the mediating effect of flow in terms of ease of use and economics affecting purchase intention was not tested. As for the multiple mediating effect of flow and trust, the mediating effect of flow was stronger than the mediating effect of trust when entertainment had an effect on purchase intention. In terms of professionality affecting purchase intention, the mediating effect of flow was also stronger than the mediating effect of trust. On the other hand, it was analyzed that only trust had a mediating effect when economics had an effect on purchase intention. The results of this study empirically tested that entertainment, which is a fun and interesting factor of live commerce content, is the most important factor when consumers use live commerce. In addition, various results were derived, such as cases where trust and flow act as mediators at the same time or not at all. Practical implications can be found in that it provided a clue about what to prioritize in order to reach consumers for live commerce platform.

• Journal of KIISE
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• v.44 no.8
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• pp.803-812
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• 2017

T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.