• Journal of Digital Convergence
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• v.16 no.3
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• pp.145-156
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• 2018

Unlike the past, when distributors distributed games through retail stores, they are now selling digital content, which is based on online distribution channels. This study analyzes the effects of eWOM (electronic Word of Mouth) on sales volume of game sold on Steam, an online digital content distribution channel. Recently, data mining techniques based on Big Data have been studied. In this study, emotion index of eWOM is derived by emotional analysis which is a text mining technique that can analyze the emotion of each review among factors of eWOM. Emotional analysis utilizes Naive Bayes and SVM classifier and calculates the emotion index through the SVM classifier with high accuracy. Regression analysis is performed on the dependent variable, sales variation, using the emotion index, the number of reviews of each game, the size of eWOM, and the user score of each game, which is a rating of eWOM. Regression analysis revealed that the size of the independent variable eWOM and the emotion index of the eWOM were influential on the dependent variable, sales variation. This study suggests the factors of eWOM that affect the sales volume when Korean game companies enter overseas markets based on steam.

• Journal of Information Technology Applications and Management
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• v.19 no.2
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• pp.79-96
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• 2012

Thanks to the growth of information technology (IT), e-commerce transactions are rapidly developing. Consumers searched and purchased for products and services through e-commerce transactions and felt excitement and satisfaction through shopping behaviors in online shopping malls. The enlargement of company's marketing efforts and consumer tastes of the uncontrolled consumption for goods and services increased the impulsive purchase in online shopping malls. In diffusing consumers' e-impulse buying, consumers increased in expenditures according to unnecessary purchasing behavior in online shopping malls. However, enterprises increased sales and benefits due to consumers' impulse buying in online shopping malls. Accordingly, in research areas of enterprises and consumers levels, the studies of e-impulse buying will provide significant values for marketers of companies. In this study, we analyzed the relationships among intention to use, trust, and value in online shopping malls. And we also analyzed the moderating effect of e-impulse buying with utilitarian and hedonic value to establish trust in online shopping malls. The result of this study showed that hedonic and utilitarian value should have a positive impact trust and trust should have a positive impact intention to use in the online shopping malls. The e-impulsive buying showed a moderating effect on the relationship between hedonic value and trust in online shopping malls. The e-impulsive buying didn't show, however, a moderating effect on the between utilitarian value and trust in online shopping malls. The results of this study will provide valuable implications for implementing e-commerce strategies.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.101-109
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• 2019

Based on the electricity sales and public consumption psychology during the online shopping festival, the purpose of this study is to investigate the factors that influence the reusing intention of the online shopping festival consumers. This research is focusing on The Theory of Reasoned Action(TRA) and The Technology Acceptance Model(TAM) to understand online shopping festival consumers' decision making process. The sampling is Chinese from 20s to 50s, who had participated in the online shopping festival.Findings suggests that first, the positive attitude of online shopping festival and subjective norms showed positive effects on online shopping festival consumers' reusing intention. Second, perceived usefulness, perceived ease and perceived enjoyment had statistically significant effects on online shopping festival consumers' reusing intention. Third, according to perceived risk perception of online shopping festivals, there were differences in factors affected the online shopping festival's reusing intention. In particular, the perceived ease of people who perceived risk higher, and the perceived usefulness of people who perceived risk lower had greatest impacts on reusing intention. Based on these findings, the implications and limitations of this study were discussed and suggestions for subsequent studies.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.133-161
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• 2005

This research is to investigate the effects of product involvement on the selection of online shopping malls. From the statistical analysis of 282 response data, it was found that consumers buying products with higher involvement tend to shop in a shopping mall with greater trust, which provide more information regarding their products and a wider variety of products. The other purpose of this research is to investigate factors of shopping malls which influence the buyer's purchase intention. The results of data analysis indicate that consumers are more likely to buy in a shopping mall with greater trust, with detailed product information, and with higher entertaining contents. The results of the study indicate that the shopping malls which give more detailed product information to their customers and establish greater trust will finally lead to a higher sales revenue because more expensive products will be sold.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.267-274
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• 2023

As the Internet has expanded and the continuous expansion of online shopping in China, many rural areas also have sales outlets. Due to the impact of economic conditions, rural locations have inadequate e-commerce logistical infrastructure, the number of outlets is small, and each other is in a decentralized state. For various reasons, the advancement of rural e-commerce logistics lags far behind that in urban areas. As the Internet of Things with big data grow in popularity, we can create and enhance the assurance system for the booming ecommerce in rural areas by building the support system of rural online shopping platform, and strengthening the joint distribution of logistics terminals based on data mining, so as to encourage the quick and healthy growth of rural online shopping.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.361-372
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• 2023

In this study, three luxury fashion start-up platforms, Balaan, Trenbe, and Must-it, were selected as research subjects. The purpose of this study is to compare and analyze the marketing mix strategies of each of the three online sites. The results of our study are as follows. First of all, the product strategies of the three luxury platform companies are characterized by the composition of products from high-end brands to SPA brands, and product composition such as kids, home living, Used goods and art in addition to women's and men's wear. In addition, the pricing strategies of luxury platforms show price differences depending on the luxury platform even for the same product. It is shown as a structure that directly determines margin. Therefore, in order to secure an edge in price competitiveness, each platform provided discount coupons and savings that are not available in offline stores such as department stores, providing opportunities to purchase luxury goods at a lower price than offline stores.Lastly, the sales promotion strategies of the three luxury platform companies was used include price discount promotions such as price discounts, discount coupons, and regular sales, and value-added sales such as membership registration/review points, events, product information, delivery services, social contribution activities, and SNS utilization.

• 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 Distribution Science
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• v.13 no.10
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• pp.57-63
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• 2015

Purpose - This study investigates the effects consumer perceptions of wine attributes have on repurchase intention. It examineshow wine purchase channels (online or offline) influence perceptions about wine attributes and repurchase intention. Research design, data, and methodology - A total of 390 responses from Florida residents over 21 were collected using online surveys. Responses were analyzed using exploratory factor analysis to identify the underlying wine attribute factors. Multiple regression and multi-group analysis were employed to test the hypotheses. Results - Results revealed that consumer perceptions of wine attributes (sensory, origin, reputation, and price point) significantly influence their repurchase intention. Additionally, the effects of wine attributes on repurchase intentions were found to be significantly different based on the channel used. Findings indicated that wine attributes pertaining to reputation and price point strongly influenced repurchase behavior of online consumers, while offline wine consumers were influenced more by sensory and origin attributes. Conclusions - Study findings provide useful information for wine industry sales channels for developing new marketing strategies to effectively attract wine consumers to repurchase wine.

• Fashion & Textile Research Journal
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• v.16 no.1
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• pp.79-90
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• 2014

With the development of modern society, not only have the Internet and e-commerce been progressed but they also made 'consumption patten' diverse. Despite the internet clothing market growth, there is critical a disadvantage, which is consumers is not able to wear the products presented via online pictures. Thus, pictures on the internet are the only information customers can get, which has caused consciousness on the importance of dealing with 'customer review'. In spite of the fact that 'customer review' has undeniably evolved to be one of customers' essential requisites, the research on this subject is very limited. Until now, the studies on the internet shopping consumers' behavior mostly has to do with the features of 'customer review' such as 'a sense of exaggeration', 'usability', 'duality', 'purity', 'professionalism', 'reliability', and the 'similarity', etc.) Therefore, this study categorizes the characteristics of online shopping reviews to 'the number of reviews', 'the article-length', 'the existence of photos', 'the rewards for reviews', 'the contents of the reviews' and 'the freshness of the reviews' and reviews the impact of an features of 'customers' reviews' affecting the internet shopping sales promotion. Moreover, it is to contribute to the marketing strategies of a shopping mall by analyzing consumers' 'purchasing satisfaction', 'the intention of repurchasing', and 'the factors of viral marketing'.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.119-129
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• 2014

The renowned Pareto rule of 80/20 has been challenged in the electronic marketplace with the emergence of long tail economy. Mass customization on top of the Internet infrastructure is expected to explain these changes of product concentration. In this paper, we empirically analyzed the micro-transactional data of a Groupon-like daily deal web site to identify the changes of product and customer concentration. The results show the long tail pattern aligned with the previous research on the e-commerce literature on the long tail. We find that the notification setting on email or SMS about daily deal influences the patterns of sales concentration. The information through email and SMS is expected to enable consumers to know about daily bargains and purchase the coupons eventually. However, the email notification for niche products results in the decreased sales while the SMS notification for overall product promotes overall products.