• The Journal of Bigdata
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• v.4 no.1
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• pp.29-38
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• 2019

In this paper, we propose a sales forecasting model that forecasts the sales volume of short sleeves and outerwear according to the temperature change by utilizing accumulated big data from the online shopping mall 'A' over the past five years to increase sales volume and efficient inventory management. The proposed model predicts sales of short sleeves and outerwear according to temperature changes in 2018 by analyzing sales volume of short sleeves and outerwear from 2014 to 2017. Using the proposed sales forecasting model, we compared the sales forecasts of 2018 with the actual sales volume and found that the error rates are ±1.5% and ±8% for short sleeve and outerwear respectively.

• Information Systems Review
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• v.12 no.3
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• pp.141-158
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• 2010

In this research, we analyzed the performance of the e-village shopping mall as an online agricultural business platform. The results suggested some critical factors that might assist the e-village owners to increase their sales by implementing the e-village information systems. We hypothesized that IT education, IT usage, online community activity, and organizational knowledge sharing influenced the e-village sales. Moreover, we investigated the moderating effect of rural experience tourism on those independent variables (IT education, IT usage, online community activity, and organizational knowledge sharing). The results indicated that online community activity had a positive effect on the online business sales, while IT education, IT usage, and organizational knowledge sharing showed insignificant effects. Furthermore, the interaction effects between rural experience tourism and both IT education and the IT usage were positive and significant. Thus, we conclude that the rural experience tourism moderated the relationship between (1) IT education and e-village sales, and (2) IT usage and e-village sales, but not the relationship between (1) online community activity and e-village sales, and (2) organizational knowledge sharing and e-village sales.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.448-457
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• 2021

This study aimed to identify messages that induce positive product attitudes and purchase intentions among luxury consumers in online luxury sales. Message types elicited from luxury products were classified as quantity-limited, time-limited, sustainability, and personalization. A total of 150 participants were recruited through a Google survey, and all respondents were randomly assigned to respond to one of five stimuli (quantity-limited, time-limited, sustainability, personalization, and control). Participants were informed that they would be engaging in luxury online shopping and read a description about it. Results showed that message attitude, product attitude, and purchase intention were positively formed with the quantity-limited and personalization message types. Furthermore, we discovered the underlying mechanism for quantity-limited and personalization messages increasing favorable message attitudes and it affected the product attitude. Finally, it increased the purchase intention of the product. By confirming purchase intentions according to message types for luxury brands, we have expanded the scope of advertising research to include online luxury sales platforms. Since luxury online shopping is inevitable, this study suggests that the effective use of message types such as quantitylimited and personalization would improve online sales.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• Journal of Distribution Science
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• v.20 no.3
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• pp.33-43
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• 2022

Purpose: More and more marketers use social media platforms to create and spread information called Marketer Generated Content (MGC) to inform consumers of products. MGC often embeds product purchase links, thus directing consumers to online distribution channels for online purchases. This study examined the effect of social media MGC on consumers' willingness to buy online in the anchor of consumers' perspective to answer the question of "how social media generated content support corporate online distribution". Research design, data, and methodology: According to the means-end-chain theory, we introduce perceived value and continuous following intention as chain mediators to explain the mechanism of MGC influence on consumers' online purchase intention and consider product type to discuss boundary conditions. Two experiments were designed to test hypothesizes. Results and Conclusion: First, emotional MGC (vs. informational MGC) has lower (higher) perceived utility (hedonic) value. Second, perceived value has a significant mediate role in the effect of MGC on continuous following intention. Third, perceived value and continuous following intention significantly and sequentially mediated the effect of MGC on online purchase intention. Through the sequential mediations of perceived utility value and continuous following intention, Informational MGC of search products significantly increase online purchase intentions. Another parallel sequential mediation, including perceived hedonic, emotional MGC of experience products, partially enhanced online purchase intentions. Finally, this study gives implications for how corporates can use social media MGC to promote product sales online.

• Journal of Distribution Science
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• v.13 no.4
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• pp.45-53
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• 2015

Purpose - Online shopping enables consumers to conveniently purchase products irrespective of the time and place. As a result, several online shopping companies have emerged to cater to this growing market and, therefore, the competition among them has become increasingly intense. This paper evaluates the comparative efficiency of online shopping companies for a multi-year period (2009-2013), in order to help online shopping managers identify major drivers for enhancing management efficiency and the subsequent competitiveness. Research design, data, and methodology - The researchers collected the data from 2009 to 2013 from the distribution yearbook. This paper analyzes the marketability (sales figures), profitability (business profits), and management conditions (net profits) of domestic online shopping enterprises by incorporating information on human resources (number of employees) and material resources (total assets and capital). Therefore, the number of employees, total assets, and capital are selected as input variables, and sales figures, business profits, and net profits as the output variables. In this study, Data Envelopment Analysis (DEA) was used to measure the comparative efficiency of domestic online shopping companies. In addition, the Malmquist Productivity Index was used to evaluate the trend of change of Decision Making Units' (DMUs') efficiency for a multi-year period. Results - First, as of 2013, Interpark (2.415) was found to be the most efficient online shopping enterprise, followed by Aladdin Communications (2.117), Hyundai Home shopping (1.867), Home&Shopping (1.176), NS Home shopping (1.170), Commerce Planet (1.126), CJ O Shopping (1.105), Ebay Korea (1.088), and GS Home Shopping (1.051). Second, this study recognizes how the management efficiency has changed for the period 2009-2013. Third, the lesser the capital and employees, the more are the net profits, and the better is the management efficiency of domestic online shopping companies. Lastly, the productivity of such companies is influenced by endogenous factors rather than exogenous factors such as shifts in business environment and technological advances. Conclusions - DHC Korea influenced various distribution channels to reach customers through the Internet. Consequently, this helped in increasing the awareness about its products, in addition to an increase in sales. These achievements can be attributed to the characteristics of online shopping companies. Although it is easy for these companies to suggest goods for one-off purchases, they however have difficulties in retaining customers. Overcoming this challenge can be one of the ways to benchmark a successful case of an efficient company. For example, an online shopping company can attract customers by developing a corresponding mobile application as a convenient way to shop online. Additionally, they can satisfy customers by quick delivery of purchased products, which is possible by building an effective logistics network. Our study indicates that the productivity of an online shopping company was influenced by endogenous factors driven by improvements in managerial practices rather than exogenous factors. Accordingly, online shopping companies should adopt strategies to improve their operational efficiency rather than sales volume-oriented management.

• Journal of Distribution Science
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• v.19 no.7
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• pp.5-17
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• 2021

Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

• Korean Journal of Health Education and Promotion
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• v.33 no.5
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• pp.71-81
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• 2016

Objectives: Tobacco marketing encourages smoking initiation of non-smokers, especially adolescents, and it hinders quit intention of those who smoke or who attempt to quit smoking. Article 13 of the WHO Framework Convention on Tobacco Control(WHO FCTC) requests a comprehensive ban on tobacco advertising, promotion and sponsorship(TAPS). Ratified the Convention in 2005, Korea has partially implemented the provisions. However, online marketing regulations are still insufficient. Methods: Based on relevant national and international regulations, this research designed monitoring mechanism for online tobacco marketing and studied 1,404 websites to identify current situation of online sales and advertisement of tobacco in Korea. Results: This study found that online trade of tobacco products are overtly conducted, while tobacco advertising with flavoring and misleading descriptors are also prevalent. Also, online tobacco marketing facilitate adolescents' access to tobacco product and that advertising and promotion activities lead to tobacco purchase without difficulties. Conclusions: Fundamental solution to prevent online tobacco advertisement and promotion is banning online sales of tobacco and conducting a regular monitoring for compliance. Korean government should consider establishing an official surveillance system for online tobacco advertisement, followed by a comprehensive ban on TAPS to fulfill its obligation as a Party to the FCTC.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.43-55
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• 2014

More and more people are gravitating to reading products reviews prior to making purchasing decisions. As a number of reviews that vary in usefulness are posted every day, much attention is being paid to measuring their helpfulness. The goal of this paper is to investigate firstly various determinants of the helpfulness of reviews, and intends to examine the moderating effect of product type, i.e., search or experience goods on the product sales, helpfulness and helpfulness votes of online reviews. The determinants include product data, review characteristics, and textual characteristics of reviews. The results indicate that the direct effect exists for the determinants of product sales, helpfulness, and helpfulness votes. Further, the moderating effects of product type exist for these determinants on three dependent variables. The results of study will identify helpful online review and design review sites effectively.

• Korea Trade Review
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• v.41 no.3
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• pp.43-62
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• 2016

As global online business expands, direct overseas sales, where company directly sells products to foreign consumers, has become a new trend. The purpose of this study is to find out the characteristics of B2C Korean online exporters. This study analyzes export companies, 45,267 doing offline business and 205 online, and the two findings drawn from the study are as follows: First, B2C online exporters shipped 4-5 times more products to 10-13 times more countries than offline exporters. It also showed higher rate of export persistency. Second, from using gravity model analysis, it was found that export through online sales removes distance barrier by 60% more than offline. In addition, Free Trade Agreement appears to help boost online overseas sales. This study has significance in that it is the first analysis on B2C online export using actual proof, and it can be differentiated by other researches in terms of identifying the traits of Korean online export.