• Journal of Information Technology Services
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• v.14 no.4
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• pp.159-169
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• 2015

Customer reviews are one of the important sources for purchase decision makings in online stores. Online stores have tried to provide useful reviews in product pages to customers. To assess the usefulness of customer reviews before other users have voted enough on the reviews, diverse aspects of reviews were utilized in prevous studies. Style and semantic information were utilized in many studies. This study aims to test diverse alogrithms and datasets for identifying a proper classification method and threshold to classify useful reviews. In particular, most researches utilized ratio type helpfulness index as Amazon.com used. However, there is another type of usefulness index utilized in TripAdviser.com or Yelp.com, count type helpfulness index. There was no proper threshold to classify useful reviews yet for count type helpfulness index. This study used reivews and their usefulness votes on restaurnats from Yelp.com to devise diverse datasets and applied text mining approaches to classify useful reviews. Random Forest, SVM, and GLMNET showed the greater values of accuracy than other approaches.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.214-222
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• 2021

Recently, the growth of e-commerce in Saudi Arabia has been exponential, bringing new remarkable challenges. A naive approach for product matching and categorization is needed to help consumers choose the right store to purchase a product. This paper presents a machine learning approach for product matching that combines deep learning techniques with standard artificial neural networks (ANNs). Existing methods focused on product matching, whereas our model compares products based on unstructured descriptions. We evaluated our electronics dataset model from three business-to-consumer (B2C) online stores by putting the match products collectively in one dataset. The performance evaluation based on k-mean classifier prediction from three real-world online stores demonstrates that the proposed algorithm outperforms the benchmarked approach by 80% on average F1-measure.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.731-751
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• 2019

This study examined the impact of various product photo features on the attention of potential consumers in online apparel retailers' environment. Recently, the method of apparel's product photo representation in online shopping stores has been changed a lot from the classic product photos in the early days. In order to investigate if this shift is effective in attracting consumers' attention, we examined the related theory and verified its effect through laboratory experiments. In particular, experiment data was collected and analyzed using eye tracking technology. According to the results of this study, it was shown that the product photos with asymmetry are more attractive than symmetrical photos, well emphasized object within a photo more attractive than partially emphasized, smiling faces are more attractive for customer than emotionless and sad, and photos with uncentered models focus more consumer's attention than photos with model in the center. These results are expected to help design internet shopping stores to gaze more customers' attention.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.95-107
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• 2005

As online shopping malls have emerged as a substantial shopping channel, they have used various sales promotion strategies to acquire new customers. Most of these strategies have been applied by offline malls for years. One, loss-leader pricing, is a type of promotional pricing in which stores sell well known products below their marginal cost, in order to attract customers and induce them to purchase more goods through impulse buying. This strategy is based on the expectation that customers will factor transaction costs into their purchasing decisions. However, its application to online malls fails to recognize that transaction costs are lower online, and that customers will behave differently as a result. Our study predicts that loss-leader pricing will not work online because online malls entail lower searching and moving costs than offline malls The study examines the effectiveness of loss-leader pricing with empirical data from a survey as well as log data from a Korean online shopping mall. The results show that while loss-leader pricing does attract customers to online shopping malls, it encourages cherry-picking rather than impulse purchases of regular-price goods.

• The Journal of Bigdata
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• v.8 no.1
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• pp.131-156
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• 2023

The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as "Processed food" in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers' time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.203-213
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• 2015

Recently, online grocery shopping has been increasing with the development of internet, mobile, and IT technology due to the proportion of consumers changes like increasing single households and double-income couples. Therefore, online sales from distributors with offline stores have also increased, and the offline retailers are facing their limits in dealing with store-based online channel they have carried out. Domestic offline retailers benchmarked overseas advanced retailers to solve this problem by reviewing about developing the online-only distribution center. However, much investment is needed in order to operate the distribution center with the new concept from abroad. In this study, we have reviewed the current online grocery market trend and the theory related to developing distribution system of the online mall. For offline retailers, we have reviewed the case which developed the distribution center applied to the nation's first online-only distribution center. The purpose of this study is reducing trial and error for local retailers in developing online-only distribution centers and suggesting ways to improve investment effect.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.231-240
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• 2020

E-commerce development led to the explosion of online payment. Consumers have many choices when deciding on the online payment method for each transaction. Using a combination of both qualitative and quantitative methods with the help of SPSS AMOS version 22.0, the article explores the factors that influence consumers' online payment method decision behavior in Vietnam. Research results show that awareness of usefulness, awareness of risk, awareness of trust, awareness ease of use, product uncertainly perception and perceived behavioral control have effects on the behavior of deciding on online payment methods. Awareness of risk has the strongest negative impact on online payment method decision behavior and awareness of usefulness has the strongest positive impact on online payment method decision behavior. Based on these important results, the article proposes a number of implications: (i) continuing to invest and upgrade modern technology to ensure customer information absolutely confidential; (ii) converting all ATM cards on the market to EMV chip standard card technology; (iii) improving service activities, quickly handle things to create confidence for customers; (iv) credit institutions operating in the field of online payment linked to e-commerce sites, supermarkets, convenience stores, restaurants must ask partners to increase transparency for the products.

• The Journal of Information Systems
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• v.14 no.1
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• pp.87-105
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• 2005

The purpose of this study id to examine the effect of Web site usability on the revisiting intention of customers in Internet book stores. The Web site usability construct consists of the factors such as contents, design, navigation, and interactivity. In order to accomplish the purpose of this study, a research model was established and it suggests that the usabililty effect the revisiting intention of online customers in Internet book stores. The results of the study show that contents, navigation, and interactivity has statistically significant effect on revisiting intention of Internet customers and this effect is mediated by perceived ease of use and perceived usefulness. This research confirms the importance of usability construct in designing web sites and understanding the use of web sites. Implications of these findings are discussed for researchers and practitioners.

• Journal of Information Technology Applications and Management
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• v.13 no.2
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• pp.127-143
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• 2006

As the number of Internet users increases, online shopping malls are gradually flourishing and sales are continuously growing. However, since consumers are not able to check what they purchase when buying products on the Internet, they are bound to have higher risk perception than buying directly from off-line stores. Especially, sporting goods require a special attention because a preliminary test is important. Therefore, the risk perception is much higher when people purchase sporting goods online. This study first identifies the multi-dimensionality of risk perception. Then, it investigates whether online purchasing experience of sporting goods makes differences in the level of risk perception. In addition, it examines whether the risk perception by those who had an experience in purchasing sporting goods online affects the customer satisfaction. This study has identified five dimensions in the concept of risk perception, such as financial risk, performance risk, security risk, delivery risk, and psychological/physical risk. A statistical analysis shows that people without an experience in purchasing sporting goods online have perceived significantly higher performance risk, security risk, and psychological/physical risk than those with online purchasing experiences. Finally, this study has found that delivery risk, financial risk, and psychological/physical risk have significant negative influences on the customer satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.4
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• pp.385-395
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• 2011

This study investigates the buying behavior of apparel by middle aged women according to lifestyles. Questionnaires were distributed to 300 women who lived in the Seoul area and between 40 to 65 years of age. A sample of 248 women responded. To analyze the data, Factor Analysis, Cluster Analysis, Analysis of Variance (ANOVA) and a Duncan test were used. As a result, the respondents were clustered into 4 different groups according to lifestyles. The groups included practical oriented group, economic oriented and practical group, active oriented and appearance group, and economic group. Their buying behavior was as follows. First, the active oriented and appearance group shopped at department stores and specialty stores; however, the economic oriented and practical group shopped at discount stores more often than other groups. The practical group shopped more frequently using TV home shopping networks, discount stores, and outlet stores, the economic group shopped at off-price stores, discount stores, and online more than the other groups. Second, the active oriented and appearance group bought classic suits and semi-classic suits, imported brand and/or designer brand apparel more often than other groups. Third, the active oriented and appearance group perceived another person's appearance, advertisement, and shop display as a more important information source than other groups. Forth, the active oriented and appearance group considered design & style, harmony with self-image, brand name, color, and coordination with other clothing as more important selection factors for clothing than other groups. The economic groups considered coordination with other clothing; however, the economic oriented and practical group cited ease of care as more important factors.