• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.617-625
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.81-91
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• 2010

The purpose of this study was to investigate differences in purchase behaviors for school uniforms among adolescent consumer groups which were segmented by the type of retailer they patronized. An online survey was carried out and 907 data sets were analyzed using SPSS. The results support that classifying adolescent consumers according to what type of retailers they patronize lead to a proper understanding of the segmentation of the school uniform market. The adolescent consumers consisted of five groups categorized by the retailer types. These types included special stores, department stores, discount stores, small custom-made stores and stores designated by schools. The results also indicated that consumer groups segmented by retailer patronage differ significantly in their use of multimedia information sources. Five consumer groups showed significant differences in two purchase evaluative criteria: utilities and promotions.

• Asia pacific journal of information systems
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• v.12 no.3
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• pp.71-88
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• 2002

In this paper, intelligent marketing and merchandising methods utilizing data mining and Web mining techniques are proposed for online retailers to survive and succeed in gaining competitive advantage in a highly competitive environment. The first part of this paper explains the procedures of one-to-one marketing based on customer relationship management(CRM) techniques and personalized recommendation lists generation. The second part illustrates Web merchandising methods utilizing data mining techniques, such as association and sequential pattern mining. We expect that our Web marketing and merchandising methods will both provide a currently operating Internet shopping mall with more selling opportunities and give more useful product information to customers.

• Journal of Multimedia Information System
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• v.5 no.2
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• pp.99-104
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• 2018

Phishing website has become a crucial concern in cyber security applications. It is performed by fraudulently deceiving users with the aim of obtaining their sensitive information such as bank account information, credit card, username, and password. The threat has led to huge losses to online retailers, e-business platform, financial institutions, and to name but a few. One way to build anti-phishing detection mechanism is to construct classification algorithm based on machine learning techniques. The objective of this paper is to compare different classifier ensemble approaches, i.e. random forest, rotation forest, gradient boosted machine, and extreme gradient boosting against single classifiers, i.e. decision tree, classification and regression tree, and credal decision tree in the case of website phishing. Area under ROC curve (AUC) is employed as a performance metric, whilst statistical tests are used as baseline indicator of significance evaluation among classifiers. The paper contributes the existing literature on making a benchmark of classifier ensembles for web phishing detection.

• Asia pacific journal of information systems
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• v.30 no.1
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• pp.143-165
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• 2020

The rapid growth of economic transactions generated by live streaming broadcasts ("LSB") has created opportunities for retailers to increase sales. However, little is known about what impact LSB celebrities have on customers and what causes LSB celebrities to become famous. This study aimed to fill this gap by studying the economics of LSBs. This study was conducted through a para-social relationship and attractiveness theory framework. Consequently, social and task attraction were assumed to be the antecedents of the para-social relationship that induced purchase intention. This study examined the impact of relationship rewards, self-disclosure, affective interactivity, informative interactivity, and the amount of information provided on purchase intentions through LSB. Celebrities can use the results of this study to enhance their appeal to fans and promote customers' purchase on e-commerce. This study contributed to the IS field by investigate the impact of para-social relationship on the online shopping context.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.883-894
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• 2012

Fashion companies are faced with more severe competition with the emergence of new types of retail formats. Retailers are coming up with new shopping values to maximize their profits and benefits of customers. The aim of this study was to study shopping values and analyze differences in store selection criteria and store visits among. The respondents were males and females with ages ranging from the 20's to the 40's, residing in Seoul and the Gyeonggi area. Data were collected via both online and offline. Data from 427 respondents were analyzed using SPSS 17.0. Results indicated that there were three categories including hedonic, informative, and reliable shopping values from the factors for clothing shopping values. They form three types of consumer groups such as active, passive-reliable, and hedonic-informative shopping value groups. These three groups were different in terms of demographic characteristics. For the factor influencing store preference, the range of product selection and customer service were the two significant features that showed substantial differences in the shopping value groups store's atmosphere, salespeople, convenient location, price, and brand store did not have significant differences across groups. Retailers of each fashion retail formats have to consider consumers shopping values for their retail decision makings.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.1
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• pp.170-183
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• 2017

The rapid growth of digital consumption has significantly changed the shopping behavior of consumers. The consumption paradigm is changing; subsequently, an omni-channel has been introduced that empowers consumers to interact with firms through a myriad of touch points in multiple channels. This study is to understand the perceptions and behavioral characteristics of consumers in the purchase process (e.g., information search and purchase phase). A qualitative method was adopted for this study and data were collected through semi-structured in-depth interviews with 15 omni-channel consumers. The results of this study were as follows. At the information search stage, consistency was the most important consideration for consumers who also wanted to retain channel-specific benefits. Consumers also searched for differentiated information among distribution channels. At the purchase stage, participants choose a shopping channel according to shopping values. They utilized newly introduced services (e.g., "online purchase, offline pick-up", FinTech) that combine retail channels. Our findings provide significance in managing omni-channel services. First, it is recommended that fashion retailers provide seamlessly integrated experience to consumer and adopt a consumer-centered channel choice strategy. Second, fashion retailers must maintain a constant attitude toward shopping experience to fashion, such as shopping enjoyment and exclusiveness.

• Journal of Information Technology Services
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• v.21 no.5
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• pp.29-49
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• 2022

Consumers are now no longer satisfied with using a single channel to shop and then desire a smooth and consistent purchasing experience across channels. By integrating different channels and services, an omni-channel strategy allows consumers to choose their preferred channel to complete their shopping tasks. Therefore, large retailers in China have recently been transforming into omni-channel retail formats to secure their competitive advantage. To better implement this strategy and optimize its effectiveness, it is important to understand how consumers respond to the quality of channel integration. Based on social exchange theory (SET), the main purposes of this study are to explore the impact of channel integration quality on consumer engagement in the Chinese omni-channel retailing environment and to further examine whether there is a moderating effect of consumer empowerment on this relationship. To test this research model, we collected data from 330 respondents by conducting an online questionnaire in China. The results indicated that the two dimensions of channel integration (breadth of channel-service choice and transparency of channel-service configuration) positively affected two dimensions of customer engagement (conscious attention and enthusiastic participation), respectively. The findings also show that consumer empowerment only positively moderates the relationship between breadth of channel service choice and conscious attention, whereas it negatively moderates the relationship between transparency of channel-service configuration and conscious attention/enthusiastic participation. Given these results, this study deepens our understanding of the impact of the quality of channel integration on customer engagement in the context of omni-channel retailing in China and sheds light on how retailers can attract consumers with different levels of empowerment.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.81-93
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• 2021

Through processors, wholesale markets, intermediate sellers, and retailers, agricultural products have been distributed in a multi-level customary manner for a long time as they are easy to deteriorate and no not have a standardized system of size and quality. However, with the advancement of Internet networks and logistic services during the 2000s that facilitated the development of offline markets, and the rise of the non-contact purchase preference in direct response to COVID-19, previous offline consumers flowed into the online market to purchase agricultural goods. In other words, the volume of online agricultural transactions exploded since the pandemic. Against this social backdrop, this study focused on the difference in distribution costs as a result of converting from conventional offline distribution channels to online channels, and analyzed the reduced distribution costs through a case study of garlic sales on the online platform "H" shopping mall. The analysis found that considerable economic effects occurred, some of the effects being an approximate 39% decrease in distribution cost when comparing direct online transactions of the online shopping mall with other more traditional means, a reduced distribution cost rate of approximately 28%p, and increased profit for farmers.

• Journal of Distribution Research
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• v.16 no.2
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• pp.1-24
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• 2011

1. Introduction: Contrast to the offline purchasing environment, online store cannot offer the sense of touch or direct visual information of its product to the consumers. So the builder of the online shopping mall should provide more concrete and detailed product information(Kim 2008), and Alba (1997) also predicted that the quality of the offered information is determined by the post-purchase consumer satisfaction. In practice, many fashion and apparel online shopping malls offer the picture information with the product on the real person model to enhance the usefulness of product information. On the other virtual product experience has been suggested to the ways of overcoming the online consumers' limited perceptual capability (Jiang & Benbasat 2005). However, the adoption and the facilitation of the virtual reality tools requires high investment and technical specialty compared to the text/picture product information offerings (Shaffer 2006). This could make the entry barrier to the online shopping to the small retailers and sometimes it could be demanding high level of consumers' perceptual efforts. So the expensive technological solution could affects negatively to the consumer decision making processes. Nevertheless, most of the previous research on the online product information provision suggests the VR be the more effective tools. 2. Research Model and Hypothesis: Presented in