• Knowledge Management Research
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• v.15 no.4
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• pp.79-103
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• 2014

This research investigates whether product types moderate the relationship between e-tailer characteristics and shopping attitudes in the context of online category killer stores. To identify the antecedents of consumer attitudes for category killer stores, the product types are characterized by the two dimensions of hedonic and utilitarian. A total of 268 responses were collected from consumers who experienced online category killer stores. The results show that the quality of information contained in a website, customer review, relational benefits, and the expertise of the e-tailer are important determinants for shopping attitudes of consumers. Regarding the moderating effects of product types, hedonic value significantly moderates the relationships between shopping attitudes and relational benefits/e-tailer expertise. However, utilitarian value does not significantly moderate the relationships between shopping attitudes and any of the e-tailer characteristics. Theoretical contributions of this study are the findings of moderating effects of hedonic value on the relationships between e-tailer characteristics and shopping attitudes. In addition, this study practically implies how companies can utilize these characteristics strategically for marketing and the selection of products.

• The Research Journal of the Costume Culture
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• v.29 no.1
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• pp.1-15
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• 2021

The Internet of Things (IoT) has gained enormous popularity in various fields of industry. An IoT shopping environment is considered an effective tool for convenient use by consumers. Perceived values (including convenience and privacy risks) of IoT shopping can be the main factors that influence consumers' shopping intentions. The current study proposed a research model based on a value-based adoption model, which integrated perceived benefit and sacrifice, shopping attitude, and shopping intention in an IoT shopping environment. As potential customers, participants in their 20s and 30s were recruited through a marketing research firm. Responses collected via an online questionnaire validated the proposed research model and hypothesis. The results confirmed significant, positive relationships between perceived benefit, including both remote control and access convenience, and consumers' positive attitudes toward IoT shopping. The association between perceived privacy risk and consumers' shopping attitudes was not significant. The indirect effects of two benefits of IoT shopping on shopping intention were also significant and positive. From a practical perspective, this study can help marketers and service providers manage their IoT shopping platforms or applications more effectively to attract consumers. The implications and limitations of this study are discussed. Directions for future research and development of IoT shopping environment are suggested.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.131-141
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• 2021

With the rapid development of the Internet, online shopping has grown so fast that almost any good or service can be sold online today. The popularity and rapid growth of e-commerce signal a huge market opportunity for e-retailers. From the organizational perspective, it is necessary to evaluate and explore what drives customers to buy their products or to use their services. This study, therefore, aims to explain the online purchase intention and its determinants of Vietnamese customers for cosmetics and personal care products. Quantitative data was collected from an online survey conducted among university students, then was put into SPSS and AMOS for further analysis. Descriptive statistics, Cronbach's alpha test, exploratory factor analysis (EFA), regression analysis, and SEM were used to examine data from 434 valid answers. The research findings reveal that four factors positively affect purchase intention: Shopping enjoyment has the most significant impact, followed by trust, benefit, and website quality. On the other hand, perceived risk negatively influences purchase intention. While the cosmetics and personal care industry is thriving with a huge number of producers and consumers throughout the world, this study contributes to the existing literature in terms of capturing customers' needs and developing effective strategies to attract more online users.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.6
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• pp.857-872
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• 2014

This study investigates the effect of service ubiquity perceptions on consumers' responses to virtual stores such as benefit and risk perceptions, shopping value perceptions, and service usage intention. Data were collected via a self-administered online survey from nationwide consumer panels of an online marketing research firm. Questionnaire items were adopted from previous literature and developed by authors via pretesting to measure variables. The results revealed that virtual store service ubiquity affects consumer benefit perceptions as well as risk perceptions. All benefit perceptions (including time effectiveness, user control, and compatibility) had significant mediating effects between service ubiquity and hedonic/utilitarian shopping service value perceptions. The mediating effect of financial risk was significant only in the relationship between service ubiquity and utilitarian value perception. The findings offer retailers and marketers information in regards to consumers' perception of a virtual store usage, which can enhance service and product strategy.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.145-158
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• 2020

With the development and widespread application of online shopping, the number of online consumers has increased. With one click of a mouse, people can buy anything they want without going out and have it sent right to the doors. As consumers benefit from online shopping, people are becoming more concerned about protecting their privacy. In the group buying scenario described in our paper, online shopping was regarded as intra-group communication. To protect the sensitive information of consumers, the polynomial-based encryption key sharing method (Piao et al., 2013; Piao and Kim, 2018) can be applied to online shopping communication. In this paper, we analyze security problems by using a polynomial-based scheme in the following ways : First, in Kamal's attack, they said it does not provide perfect forward and backward secrecy when the members leave or join the group because the secret key can be broken in polynomial time. Second, for simultaneous equations, the leaving node will compute the new secret key if it can be confirmed that the updated new polynomial is recomputed. Third, using Newton's method, attackers can successively find better approximations to the roots of a function. Fourth, the Berlekamp Algorithm can factor polynomials over finite fields and solve the root of the polynomial. Fifth, for a brute-force attack, if the key size is small, brute force can be used to find the root of the polynomial, we need to make a key with appropriately large size to prevent brute force attacks. According to these analyses, we finally recommend the use of a relatively reasonable hash-based mechanism that solves all of the possible security problems and is the most suitable mechanism for our application. The study of adequate and suitable protective methods of consumer security will have academic significance and provide the practical implications.

• Management & Information Systems Review
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• v.37 no.2
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• pp.23-42
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• 2018

As the development of the Internet in China has led to the active shopping of the internet, the number of Chinese internet users and online shopping malls is increasing rapidly. Chinese internet shopping malls are experiencing satisfaction and discontent with their websites. Research has focused on the satisfaction of customers using internet shopping malls and internet shopping malls reported complaints to users as complaints about products and websites. The study looked at seven area Chinese internet users (Beijing, Harbin, Shenyang, Ganssu, Xian, Shanghai and Henan). The effect of product complaints and site complaints on shopping attitudes and behaviors of internet shopping users was studied, and economic benefits were studied as a control variable. As a result, There was no effect on controlling the economic benefits of the complaint against the product, but the controlling the economic benefits of the complaint on the site was effect. About 83 percent of those surveyed were in their 20s and 30s who had experience shopping online and in internet. And It is intended to present theoretical reviews and guidelines for Korean internet shopping malls operating here, as they plan to expand to China by analyzing their internet shopping mall users.

• Fashion & Textile Research Journal
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• v.15 no.4
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• pp.543-553
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• 2013

This study analyzes the influence of price, product and promotion on clothing impulse buying according to internet shopping mall type. This study conducted a survey of 346 male and female consumers in their 20s-40s who have experienced clothing impulse buying from an internet shopping mall. Respondents were selected using convenience sampling through an online survey conducted in August 2012. For statistical analysis, descriptive statistics, reliability analysis, $X^2$-test, factor analysis, and regression analysis where carried out using SPSS for Windows 12.0. The results were as follows. First, there were significant differences for consumer gender, age, marital status, and education on clothing impulse buying according to shopping mall type. Second, there were differences for the influence of each component (price, product and promotion) on clothing impulse buying according to shopping mall type. Third, it was identified that influence of components (price, product and promotion) on clothing impulse buying were in the following order: low price, freshness, prize promotion, scarcity, open market price discount, prize promotion, freshness, fashionability, low price in general shopping malls, payment term benefit, freshness, and scarcity in fashion SOHO shopping malls. This study provides information for consumer management and promotion strategies according to each shopping mall type by understanding clothing impulse buying by consumers and factors according to shopping mall type.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.38-45
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• 2010

Cosmetics retailers would benefit from studies that examine which shopping-mall attributes can be manipulated to favorably affect consumer satisfaction and revisit intention at Internet. The purposes of this study were (1) to examine the dimensionality of shopping-mall attribute for cosmetics retailers, (2) to determine which dimensions of shopping-mall attribute were significant predictors of consumer satisfaction and revisit intention and (3) to find out the moderating effect of consumer satisfaction through shopping-mall attributes on revisit intention to buy cosmetics across the types of shopping-mall at Internet (i.e., total mall and specialty mall). Data were collected from 209 online cosmetic shoppers among high school girls. Factor analysis identified five dimensions of shopping-mall attributes at Internet, such as Convenience, Price, Loading speed, Sales promotion, and Service. Only two dimensions(i.e., convenience and service) were significant predictors of online shopper satisfaction in both total mall and specialty mall. The moderating effect of consumer satisfaction on revisit intention was significant in both two mall types at Internet. For total mall, price was a significant predictor through consumer satisfaction on revisit intention, while loading speed was a significant predictor directly on revisit intention for specialty mall. In light of the major findings, this study sets forth strategic implications for consumer satisfaction and revisit intention to buy cosmetics in the setting of electronic commerce.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.115-125
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• 2013

Unexpected consumer dissatisfaction emerges through rapid growth and expansion of on-line shopping channel. This research focused on the fashion online retail channels' negative aspect caused by service failure which possibly disappointed consumers. We also tried to seek for appropriate service recovery types based on frequently offered recovery types on-line. Data from college students were analyzed. Results indicate that fitting problem, insufficient information, product defect, inventory problem and slow delivery were the main service failure types in apparel e-shopping. Regression analysis identified that among these types, insufficient information, product defect, and slow delivery had significant influence on channel satisfaction after post recovery effort. Results also confirmed significant relationships between channel satisfaction and channel switching. Consumers perceived benefit level causes overall channel satisfaction level to rise while perceived risk leads to lower level of channel satisfaction. Choosing desirable service recovery activities in each service failure situations is necessary in order to raise consumer's channel satisfaction in online apparel shopping.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.4
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• pp.277-288
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• 2005

The proliferation of the internet technologies and applications has intensified business activities on the Internet. This study considered the price competition between two shopping channels, one on-line seller and the other traditional off-line retailer. Based on the Hotelling's linear market model, we derive the Nash and Stackelberg equilibria as a function of the cost parameters which represent the characteristics of the online and off-line channels. By analyzing the equilibrium solutions, the following significant findings were obtained. First, pricing by Stackelberg equilibrium always outperformed that of Nash equilibrium. However the value of the cost parameters played a crucial role in determining both channels' preferred position (price leader or follower). Second, the online seller could benefit more in terms of profit by lowering its efficiency when its efficiency belongs to a certain interval. Third, when the online seller's efficiency is low, lowering its delivery cost has no contribution to its profit. To benefit more from lowering its delivery cost, increasing its channel efficiency to a certain level should be preceded.